Zhangyang Wang

833 papers A* 243A 26B 7C 2Misc 6Journal 468Unranked 79

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Test-Time Training: Learning to Reason via Hardware-Efficient Optimal Control. CoRR Peihao Wang, Shan Yang, Xijun Wang, Tesi Xiao, Xin Liu, Changlong Yu, Yu Lou, Pan Li, Zhangyang Wang, Ming Lin, René Vidal
2026	J	`jnl`	CIPHER: Culvert Inspection through Pairwise Frame Selection and High-Efficiency Reconstruction. CoRR Seoyoung Lee, Zhangyang Wang
2026	J	`jnl`	Data Distribution as a Lever for Guiding Optimizers Toward Superior Generalization in LLMs. CoRR Tushaar Gangavarapu, Jiping Li, Christopher Vattheuer, Zhangyang Wang, Baharan Mirzasoleiman
2026	J	`jnl`	MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games. CoRR Yunfei Xie, Kevin Wang, Bobby Cheng, Jianzhu Yao, Zhizhou Sha, Alexander Duffy, Yihan Xi, Hongyuan Mei, Cheston Tan, Chen Wei, Pramod Viswanath, Zhangyang Wang
2026	J	`jnl`	Neurosymbolic LoRA: Why and When to Tune Weights vs. Rewrite Prompts. CoRR Kevin Wang, Neel P. Bhatt, Cong Liu, Junbo Li, Runjin Chen, Yihan Xi, Timothy Barclay, Alvaro Velasquez, Ufuk Topcu, Zhangyang Wang
2026	A*	`conf`	Oscillation Inversion: Training-Free Image and Video Enhancement Through Oscillated Latents in Large Flow Models. AAAI Yan Zheng, Zhenxiao Liang, Xiaoyan Cong, Yi Yang, Lanqing Guo, Yuehao Wang, Peihao Wang, Zhangyang Wang
2026	J	`jnl`	Seeing Where to Deploy: Metric RGB-Based Traversability Analysis for Aerial-to-Ground Hidden Space Inspection. CoRR Seoyoung Lee, Shaekh Mohammad Shithil, Durgakant Pushp, Lantao Liu, Zhangyang Wang
2026	J	`jnl`	∇-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space. CoRR Peihao Wang, Ruisi Cai, Zhen Wang, Hongyuan Mei, Qiang Liu, Pan Li, Zhangyang Wang
2025	A*	`conf`	4K4DGen: Panoramic 4D Generation at 4K Resolution. ICLR Renjie Li, Panwang Pan, Bangbang Yang, Dejia Xu, Shijie Zhou, Xuanyang Zhang, Zeming Li, Achuta Kadambi, Zhangyang Wang, Zhengzhong Tu, Zhiwen Fan
2025	A*	`conf`	A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs. CVPR Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You
2025	J	`jnl`	AD-VF: LLM-Automatic Differentiation Enables Fine-Tuning-Free Robot Planning from Formal Methods Feedback. CoRR Yunhao Yang, Junyuan Hong, Gabriel Jacob Perin, Zhiwen Fan, Li Yin, Zhangyang Wang, Ufuk Topcu
2025	—	`conf`	APOLLO: SGD-like Memory, AdamW-level Performance. MLSys Hanqing Zhu, Zhenyu Zhang, Wenyan Cong, Xi Liu, Sem Park, Vikas Chandra, Bo Long, David Z. Pan, Zhangyang Wang, Jinwon Lee
2025	J	`jnl`	An Overview of Low-Rank Structures in the Training and Adaptation of Large Models. CoRR Laura Balzano, Tianjiao Ding, Benjamin D. Haeffele, Soo Min Kwon, Qing Qu, Peng Wang, Zhangyang Wang, Can Yaras
2025	J	`jnl`	AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving. Trans. Mach. Learn. Res. Shuo Xing, Hongyuan Hua, Xiangbo Gao, Shenzhe Zhu, Renjie Li, Kexin Tian, Xiaopeng Li, Heng Huang, Tianbao Yang, Zhangyang Wang, Yang Zhou, Huaxiu Yao, Zhengzhong Tu
2025	J	`jnl`	CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. CoRR Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuowei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng
2025	J	`jnl`	CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. Medical Image Anal. Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuwei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj, René Vidal, Yosuke Yamagishi, Pingkun Yan, Zefan Yang, Ruichi Zhang, Yang Zhou, Leo Anthony Celi, Ronald M. Summers, Zhiyong Lu, Hao Chen, Adam E. Flanders, George Shih, Zhangyang Wang, Yifan Peng
2025	J	`jnl`	Can Test-Time Scaling Improve World Foundation Model? CoRR Wenyan Cong, Hanqing Zhu, Peihao Wang, Bangya Liu, Dejia Xu, Kevin Wang, David Z. Pan, Yan Wang, Zhiwen Fan, Zhangyang Wang
2025	A*	`conf`	Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention. ICML Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth, Liangliang Cao, Zhangyang Wang, Hao Tang
2025	A	`conf`	Copy or Not? Reference-Based Face Image Restoration with Fine Details. WACV Min Jin Chong, Dejia Xu, Yi Zhang, Zhangyang Wang, David A. Forsyth, Gurunandan Krishnan, Yicheng Wu, Jian Wang
2025	J	`jnl`	DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025	J	`jnl`	Data Efficient Any Transformer-to-Mamba Distillation via Attention Bridge. CoRR Penghao Wang, Yuhao Zhou, Mengxuan Wu, Panpan Zhang, Zhangyang Wang, Kai Wang
2025	J	`jnl`	Deep Learning for Accurate Diagnosis of Viral Infections through scRNA-seq Analysis: A Comprehensive Benchmark Study. J. Data-centric Mach. Learn. Res. Ziwei Yang, Xuxi Chen, Biqing Zhu, Tianlong Chen, Zhangyang Wang
2025	J	`jnl`	Demystifying the Visual Quality Paradox in Multimodal Large Language Models. CoRR Shuo Xing, Lanqing Guo, Hongyuan Hua, Seoyoung Lee, Peiran Li, Yufei Wang, Zhangyang Wang, Zhengzhong Tu
2025	J	`jnl`	Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights. CoRR Zhiyuan Liang, Dongwen Tang, Yuhao Zhou, Xuanlei Zhao, Mingjia Shi, Wangbo Zhao, Zekai Li, Peihao Wang, Konstantin Schürholt, Damian Borth, Michael M. Bronstein, Yang You, Zhangyang Wang, Kai Wang
2025	J	`jnl`	E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models. CoRR Wenyan Cong, Yiqing Liang, Yancheng Zhang, Ziyi Yang, Yan Wang, Boris Ivanovic, Marco Pavone, Chen Chen, Zhangyang Wang, Zhiwen Fan
2025	—	`conf`	Efficient Image Generation with Variadic Attention Heads. CVPR Workshops Steven Walton, Ali Hassani, Xingqian Xu, Zhangyang Wang, Humphrey Shi
2025	J	`jnl`	Enhance-A-Video: Better Generated Video for Free. CoRR Yang Luo, Xuanlei Zhao, Mengzhao Chen, Kaipeng Zhang, Wenqi Shao, Kai Wang, Zhangyang Wang, Yang You
2025	—	`conf`	Exact and Rich Feature Learning Dynamics of Two-Layer Linear Networks. CPAL Wei Huang, Wuyang Chen, Zhiqiang Xu, Zhangyang Wang, Taiji Suzuki
2025	J	`jnl`	Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process. CoRR Zhenyu Zhang, Shujian Zhang, John Lambert, Wenxuan Zhou, Zhangyang Wang, Mingqing Chen, Andrew Hard, Rajiv Mathews, Lun Wang
2025	A*	`conf`	Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields. CVPR Shijie Zhou, Hui Ren, Yijia Weng, Shuwang Zhang, Zhen Wang, Dejia Xu, Zhiwen Fan, Suya You, Zhangyang Wang, Leonidas J. Guibas, Achuta Kadambi
2025	J	`jnl`	Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields. CoRR Shijie Zhou, Hui Ren, Yijia Weng, Shuwang Zhang, Zhen Wang, Dejia Xu, Zhiwen Fan, Suya You, Zhangyang Wang, Leonidas J. Guibas, Achuta Kadambi
2025	J	`jnl`	Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations. CoRR Ajay Jaiswal, Jianyu Wang, Yixiao Li, Pingzhi Li, Tianlong Chen, Zhangyang Wang, Chong Wang, Ruoming Pang, Xianzhi Du
2025	A*	`conf`	FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. CVPR Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang
2025	J	`jnl`	FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. CoRR Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang
2025	J	`jnl`	Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces. CoRR Yunhao Yang, Neel P. Bhatt, Christian Ellis, Alvaro Velasquez, Zhangyang Wang, Ufuk Topcu
2025	A*	`conf`	From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications. ICML Ajay Kumar Jaiswal, Yifan Wang, Lu Yin, Shiwei Liu, Runjin Chen, Jiawei Zhao, Ananth Grama, Yuandong Tian, Zhangyang Wang
2025	J	`jnl`	Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models. CoRR Haoyu Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li
2025	A*	`conf`	HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training. ICML Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella
2025	J	`jnl`	HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training. CoRR Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella
2025	A*	`conf`	HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models. ICLR Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
2025	—	`conf`	How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks. CPAL William T. Redman, Zhangyang Wang, Alessandro Ingrosso, Sebastian Goldt
2025	J	`jnl`	Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration. CoRR Jucheng Shen, Gaurav Sarkar, Yeonju Ro, Sharath Nittur Sridhar, Zhangyang Wang, Aditya Akella, Souvik Kundu
2025	—	`conf`	Know Where You're Uncertain When Planning with Multimodal Foundation Models: A Formal Framework. MLSys Neel P. Bhatt, Yunhao Yang, Rohan Siva, Daniel Milan, Ufuk Topcu, Zhangyang Wang
2025	J	`jnl`	LLM-AutoDiff: Auto-Differentiate Any LLM Workflow. CoRR Li Yin, Zhangyang Wang
2025	J	`jnl`	LLMs Can Get "Brain Rot"! CoRR Shuo Xing, Junyuan Hong, Yifan Wang, Runjin Chen, Zhenyu Zhang, Ananth Grama, Zhengzhong Tu, Zhangyang Wang
2025	A*	`conf`	LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing. ICLR Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov
2025	J	`jnl`	LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning. CoRR Gabriel J. Perin, Runjin Chen, Xuxi Chen, Nina S. T. Hirata, Zhangyang Wang, Junyuan Hong
2025	J	`jnl`	Make Optimization Once and for All with Fine-grained Guidance. CoRR Mingjia Shi, Ruihan Lin, Xuxi Chen, Yuhao Zhou, Zezhen Ding, Pingzhi Li, Tong Wang, Kai Wang, Zhangyang Wang, Jiheng Zhang, Tianlong Chen
2025	J	`jnl`	Martian World Models: Controllable Video Synthesis with Physically Accurate 3D Reconstructions. CoRR Longfei Li, Zhiwen Fan, Wenyan Cong, Xinhang Liu, YuYang Yin, Matthew Foutter, Panwang Pan, Chenyu You, Yue Wang, Zhangyang Wang, Yao Zhao, Marco Pavone, Yunchao Wei
2025	J	`jnl`	Mastering Regional 3DGS: Locating, Initializing, and Editing with Diverse 2D Priors. CoRR Lanqing Guo, Yufei Wang, Hezhen Hu, Yan Zheng, Yeying Jin, Siyu Huang, Zhangyang Wang
2025	A*	`conf`	MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. EMNLP Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding
2025	J	`jnl`	MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. CoRR Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding
2025	—	`conf`	Meta ControlNet: Enhancing Task Adaptation via Meta Learning. CPAL Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang
2025	J	`jnl`	More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment. CoRR Yifan Wang, Runjin Chen, Bolian Li, David Cho, Yihe Deng, Ruqi Zhang, Tianlong Chen, Zhangyang Wang, Ananth Grama, Junyuan Hong
2025	J	`jnl`	Neon: Negative Extrapolation From Self-Training Improves Image Generation. CoRR Sina Alemohammad, Zhangyang Wang, Richard G. Baraniuk
2025	A*	`conf`	On the Provable Separation of Scales in Maximal Update Parameterization. ICML Letong Hong, Zhangyang Wang
2025	A*	`conf`	On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving. ICML Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella
2025	J	`jnl`	On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention. CoRR Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella
2025	J	`jnl`	One Token Embedding Is Enough to Deadlock Your Large Reasoning Model. CoRR Mohan Zhang, Yihua Zhang, Jinghan Jia, Zhangyang Wang, Sijia Liu, Tianlong Chen
2025	A*	`conf`	PIPA: Preference Alignment as Prior-Informed Statistical Estimation. ICML Junbo Li, Zhangyang Wang, Qiang Liu
2025	J	`jnl`	PIPA: Preference Alignment as Prior-Informed Statistical Estimation. CoRR Junbo Li, Zhangyang Wang, Qiang Liu
2025	J	`jnl`	Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait. CoRR Feng Liu, Nicholas Chimitt, Lanqing Guo, Jitesh Jain, Aditya Kane, Minchul Kim, Wes Robbins, Yiyang Su, Dingqiang Ye, Xingguang Zhang, Jie Zhu, Siddharth Satyakam, Christopher Perry, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil K. Jain, Xiaoming Liu
2025	—	`conf`	Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients. CPAL Zhenyu Zhang, Ajay Kumar Jaiswal, Lu Yin, Shiwei Liu, Jiawei Zhao, Yuandong Tian, Zhangyang Wang
2025	A*	`conf`	R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference. ICLR Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li
2025	J	`jnl`	R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference. CoRR Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li
2025	J	`jnl`	RAPID CoRR Wangbo Zhao, Yizeng Han, Zhiwei Tang, Jiasheng Tang, Pengfei Zhou, Kai Wang, Bohan Zhuang, Zhangyang Wang, Fan Wang, Yang You
2025	J	`jnl`	REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training. CoRR Ziqiao Wang, Wangbo Zhao, Yuhao Zhou, Zekai Li, Zhiyuan Liang, Mingjia Shi, Xuanlei Zhao, Pengfei Zhou, Kaipeng Zhang, Zhangyang Wang, Kai Wang, Yang You
2025	J	`jnl`	Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis. J. Mach. Learn. Res. Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang
2025	J	`jnl`	RepV: Safety-Separable Latent Spaces for Scalable Neurosymbolic Plan Verification. CoRR Yunhao Yang, Neel P. Bhatt, Pranay Samineni, Rohan Siva, Zhangyang Wang, Ufuk Topcu
2025	J	`jnl`	ResearchGPT: Benchmarking and Training LLMs for End-to-End Computer Science Research Workflows. CoRR Penghao Wang, Yuhao Zhou, Mengxuan Wu, Ziheng Qin, Bangyuan Zhu, Shengbin Huang, Xuanlei Zhao, Panpan Zhang, Xiaojiang Peng, Yuzhang Shang, Jianfei Yang, Zheng Zhu, Tianlong Chen, Zhangyang Wang, Kai Wang
2025	A*	`conf`	Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding. ICML Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang
2025	J	`jnl`	Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding. CoRR Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang
2025	J	`jnl`	SEAL: Steerable Reasoning Calibration of Large Language Models for Free. CoRR Runjin Chen, Zhenyu Zhang, Junyuan Hong, Souvik Kundu, Zhangyang Wang
2025	A*	`conf`	SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. ICLR Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu
2025	J	`jnl`	SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. CoRR Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu
2025	J	`jnl`	SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially? CoRR Jianzhu Yao, Kevin Wang, Ryan Hsieh, Haisu Zhou, Tianqing Zou, Zerui Cheng, Zhangyang Wang, Pramod Viswanath
2025	J	`jnl`	Scaling Textual Gradients via Sampling-Based Momentum. CoRR Zixin Ding, Junyuan Hong, Jiachen T. Wang, Zinan Lin, Zhangyang Wang, Yuxin Chen
2025	J	`jnl`	Sherlock: Reliable and Efficient Agentic Workflow Execution. CoRR Yeonju Ro, Haoran Qiu, Íñigo Goiri, Rodrigo Fonseca, Ricardo Bianchini, Aditya Akella, Zhangyang Wang, Mattan Erez, Esha Choukse
2025	—	`conf`	Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning. CPAL Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen
2025	A*	`conf`	Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study. AAAI Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2025	J	`jnl`	Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam. CoRR Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu
2025	A*	`conf`	Steepest Descent Density Control for Compact 3D Gaussian Splatting. CVPR Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan
2025	J	`jnl`	Steepest Descent Density Control for Compact 3D Gaussian Splatting. CoRR Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan
2025	A	`conf`	SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. AISTATS Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2025	A*	`conf`	StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text. CVPR Roberto Henschel, Levon Khachatryan, Hayk Poghosyan, Daniil Hayrapetyan, Vahram Tadevosyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
2025	J	`jnl`	Symbolic Visual Reinforcement Learning: A Scalable Framework With Object-Level Abstraction and Differentiable Expression Search. IEEE Trans. Pattern Anal. Mach. Intell. Wenqing Zheng, S. P. Sharan, Zhiwen Fan, Kevin Wang, Yihan Xi, Zhangyang Wang
2025	J	`jnl`	The Path Not Taken: RLVR Provably Learns Off the Principals. CoRR Hanqing Zhu, Zhenyu Zhang, Hanxian Huang, DiJia Su, Zechun Liu, Jiawei Zhao, Igor Fedorov, Hamed Pirsiavash, Zhizhou Sha, Jinwon Lee, David Z. Pan, Zhangyang Wang, Yuandong Tian, Kai Sheng Tai
2025	—	`conf`	Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement. ACL (1) Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen
2025	J	`jnl`	Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement. CoRR Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen
2025	A*	`conf`	Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow. ICLR Hongru Yang, Zhangyang Wang, Jason D. Lee, Yingbin Liang
2025	J	`jnl`	UNCAP: Uncertainty-Guided Planning Using Natural Language Communication for Cooperative Autonomous Vehicles. CoRR Neel P. Bhatt, Po-han Li, Kushagra Gupta, Rohan Siva, Daniel Milan, Alexander T. Hogue, Sandeep P. Chinchali, David Fridovich-Keil, Zhangyang Wang, Ufuk Topcu
2025	A*	`conf`	Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. ICLR Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li
2025	J	`jnl`	Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. CoRR Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li
2025	J	`jnl`	Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel. CoRR Chuanyang Zheng, Jiankai Sun, Yihang Gao, Enze Xie, Yuehao Wang, Peihao Wang, Ting Xu, Matthew Chang, Liliang Ren, Jingyao Li, Jing Xiong, Kashif Rasul, Mac Schwager, Anderson Schneider, Zhangyang Wang, Yuriy Nevmyvaka
2025	J	`jnl`	VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction. CoRR Zhiwen Fan, Jian Zhang, Renjie Li, Junge Zhang, Runjin Chen, Hezhen Hu, Kevin Wang, Huaizhi Qu, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Tianlong Chen, Jiachen Li, Zhengzhong Tu, Zhangyang Wang, Rakesh Ranjan
2025	J	`jnl`	VLN-Zero: Rapid Exploration and Cache-Enabled Neurosymbolic Vision-Language Planning for Zero-Shot Transfer in Robot Navigation. CoRR Neel P. Bhatt, Yunhao Yang, Rohan Siva, Pranay Samineni, Daniel Milan, Zhangyang Wang, Ufuk Topcu
2025	J	`jnl`	VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment. CoRR Wenyan Cong, Kevin Wang, Jiahui Lei, Colton Stearns, Yuanhao Cai, Dilin Wang, Rakesh Ranjan, Matt Feiszli, Leonidas J. Guibas, Zhangyang Wang, Weiyao Wang, Zhiwen Fan
2025	J	`jnl`	Why Neural Network Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation for Neurosymbolic Reasoning. CoRR Peihao Wang, Zhangyang Wang
2025	—	`conf`	You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CPAL Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu
2025	J	`jnl`	You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CoRR Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Ben Hu
2024	J	`jnl`	4K4DGen: Panoramic 4D Generation at 4K Resolution. CoRR Renjie Li, Panwang Pan, Bangbang Yang, Dejia Xu, Shijie Zhou, Xuanyang Zhang, Zeming Li, Achuta Kadambi, Zhangyang Wang, Zhiwen Fan
2024	J	`jnl`	A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs. CoRR Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You
2024	J	`jnl`	AGG: Amortized Generative 3D Gaussians for Single Image to 3D. CoRR Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat
2024	J	`jnl`	AGG: Amortized Generative 3D Gaussians for Single Image to 3D. Trans. Mach. Learn. Res. Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat
2024	J	`jnl`	APOLLO: SGD-like Memory, AdamW-level Performance. CoRR Hanqing Zhu, Zhenyu Zhang, Wenyan Cong, Xi Liu, Sem Park, Vikas Chandra, Bo Long, David Z. Pan, Zhangyang Wang, Jinwon Lee
2024	J	`jnl`	All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian
2024	A*	`conf`	AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models. NeurIPS Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang
2024	J	`jnl`	AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models. CoRR Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang
2024	J	`jnl`	Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng
2024	J	`jnl`	AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving. CoRR Shuo Xing, Hongyuan Hua, Xiangbo Gao, Shenzhe Zhu, Renjie Li, Kexin Tian, Xiaopeng Li, Heng Huang, Tianbao Yang, Zhangyang Wang, Yang Zhou, Huaxiu Yao, Zhengzhong Tu
2024	J	`jnl`	Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. J. Am. Medical Informatics Assoc. Veer Sangha, Akshay Khunte, Gregory Holste, Bobak J. Mortazavi, Zhangyang Wang, Evangelos K. Oikonomou, Rohan Khera
2024	J	`jnl`	CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning. Trans. Mach. Learn. Res. Ziyu Jiang, Guoqing Zheng, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang
2024	J	`jnl`	CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation. CoRR Dejia Xu, Weili Nie, Chao Liu, Sifei Liu, Jan Kautz, Zhangyang Wang, Arash Vahdat
2024	J	`jnl`	Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention. CoRR Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth, Liangliang Cao, Zhangyang Wang, Hao Tang
2024	J	`jnl`	Chasing Better Deep Image Priors between Over- and Under-parameterization. CoRR Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang
2024	J	`jnl`	Comp4D: LLM-Guided Compositional 4D Scene Generation. CoRR Dejia Xu, Hanwen Liang, Neel P. Bhatt, Hezhen Hu, Hanxue Liang, Konstantinos N. Plataniotis, Zhangyang Wang
2024	A*	`conf`	Compressing LLMs: The Truth is Rarely Pure and Never Simple. ICLR Ajay Kumar Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang
2024	—	`conf`	Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Materials Science Benchmark and A Sparsity-Oriented Optimization Framework. CPAL Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott McCall, Aurelien Perron, Joseph McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
2024	—	`conf`	DGBD: Depth Guided Branched Diffusion for Comprehensive Controllability in Multi-View Generation. CVPR Workshops Hovhannes Margaryan, Daniil Hayrapetyan, Wenyan Cong, Zhangyang Wang, Humphrey Shi
2024	A*	`conf`	DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. ICLR Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
2024	A*	`conf`	Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality. ICLR Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman
2024	A*	`conf`	Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. ICML Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li
2024	J	`jnl`	Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li
2024	—	`conf`	Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. CPAL Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Eric J. Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang
2024	J	`jnl`	Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models. CoRR Hanwen Liang, YuYang Yin, Dejia Xu, Hanxue Liang, Zhangyang Wang, Konstantinos N. Plataniotis, Yao Zhao, Yunchao Wei
2024	A*	`conf`	Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models. NeurIPS Hanwen Liang, YuYang Yin, Dejia Xu, Hanxue Liang, Zhangyang Wang, Konstantinos N. Plataniotis, Yao Zhao, Yunchao Wei
2024	A*	`conf`	Doubly Robust Instance-Reweighted Adversarial Training. ICLR Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang
2024	—	`conf`	DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting. ECCV (6) Shijie Zhou, Zhiwen Fan, Dejia Xu, Haoran Chang, Pradyumna Chari, Tejas Bharadwaj, Suya You, Zhangyang Wang, Achuta Kadambi
2024	J	`jnl`	DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting. CoRR Shijie Zhou, Zhiwen Fan, Dejia Xu, Haoran Chang, Pradyumna Chari, Tejas Bharadwaj, Suya You, Zhangyang Wang, Achuta Kadambi
2024	A*	`conf`	Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. ICLR Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
2024	J	`jnl`	Enhancing Item Tokenization for Generative Recommendation through Self-Improvement. CoRR Runjin Chen, Mingxuan Ju, Ngoc Bui, Dimosthenis Antypas, Stanley Cai, Xiaopeng Wu, Leonardo Neves, Zhangyang Wang, Neil Shah, Tong Zhao
2024	A*	`conf`	Expressive Gaussian Human Avatars from Monocular RGB Video. NeurIPS Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang
2024	J	`jnl`	Expressive Gaussian Human Avatars from Monocular RGB Video. CoRR Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang
2024	—	`conf`	FSGS: Real-Time Few-Shot View Synthesis Using Gaussian Splatting. ECCV (39) Zehao Zhu, Zhiwen Fan, Yifan Jiang, Zhangyang Wang
2024	A	`conf`	FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. WACV Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, Xiaoming Liu
2024	A*	`conf`	Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields. CVPR Shijie Zhou, Haoran Chang, Sicheng Jiang, Zhiwen Fan, Zehao Zhu, Dejia Xu, Pradyumna Chari, Suya You, Zhangyang Wang, Achuta Kadambi
2024	A*	`conf`	Flextron: Many-in-One Flexible Large Language Model. ICML Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov
2024	J	`jnl`	Flextron: Many-in-One Flexible Large Language Model. CoRR Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov
2024	—	`conf`	Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models. CVPR Workshops Gong Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi
2024	A*	`conf`	Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding. NeurIPS Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
2024	J	`jnl`	Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding. CoRR Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
2024	J	`jnl`	From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. CoRR Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu, Jiawei Zhao, Yuandong Tian, Zhangyang Wang
2024	A*	`conf`	GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection. ICML Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian
2024	J	`jnl`	GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection. CoRR Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian
2024	J	`jnl`	Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study. CoRR Jinze Zhao, Peihao Wang, Zhangyang Wang
2024	A*	`conf`	Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference. ICML Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen
2024	J	`jnl`	Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference. CoRR Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen
2024	Misc	`conf`	Grounded-Instruct-Pix2Pix: Improving Instruction Based Image Editing with Automatic Target Grounding. ICASSP Artur Shagidanov, Hayk Poghosyan, Xinyu Gong, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
2024	—	`conf`	HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training. CPAL Haoyu Ma, Chengming Zhang, Lizhi Xiang, Xiaolong Ma, Geng Yuan, Wenkai Zhang, Shiwei Liu, Tianlong Chen, Dingwen Tao, Yanzhi Wang, Zhangyang Wang, Xiaohui Xie
2024	J	`jnl`	Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. CoRR Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng
2024	J	`jnl`	Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng
2024	J	`jnl`	InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds. CoRR Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang
2024	A*	`conf`	Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs. ICML Lu Yin, Ajay Kumar Jaiswal, Shiwei Liu, Souvik Kundu, Zhangyang Wang
2024	J	`jnl`	Know Where You're Uncertain When Planning with Multimodal Foundation Models: A Formal Framework. CoRR Neel P. Bhatt, Yunhao Yang, Rohan Siva, Daniel Milan, Ufuk Topcu, Zhangyang Wang
2024	J	`jnl`	LLM-PBE: Assessing Data Privacy in Large Language Models. CoRR Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song
2024	J	`jnl`	LLM-PBE: Assessing Data Privacy in Large Language Models. Proc. VLDB Endow. Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song
2024	A*	`conf`	LLaGA: Large Language and Graph Assistant. ICML Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang
2024	J	`jnl`	LLaGA: Large Language and Graph Assistant. CoRR Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
2024	A*	`conf`	Large Spatial Model: End-to-end Unposed Images to Semantic 3D. NeurIPS Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone
2024	J	`jnl`	Large Spatial Model: End-to-end Unposed Images to Semantic 3D. CoRR Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang
2024	A*	`conf`	Latent 3D Graph Diffusion. ICLR Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen
2024	J	`jnl`	Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses. CoRR Zhiwen Fan, Pu Wang, Yang Zhao, Yibo Zhao, Boris Ivanovic, Zhangyang Wang, Marco Pavone, Hao (Frank) Yang
2024	—	`conf`	Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images. 3DV Panwang Pan, Zhiwen Fan, Brandon Y. Feng, Peihao Wang, Chenxin Li, Zhangyang Wang
2024	A*	`conf`	Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. CVPR Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi
2024	J	`jnl`	Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. CoRR Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi
2024	A*	`conf`	LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS. NeurIPS Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang
2024	A*	`conf`	LoCoCo: Dropping In Convolutions for Long Context Compression. ICML Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen
2024	J	`jnl`	LoCoCo: Dropping In Convolutions for Long Context Compression. CoRR Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen
2024	A	`conf`	MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements. IROS Lisong C. Sun, Neel P. Bhatt, Jonathan C. Liu, Zhiwen Fan, Zhangyang Wang, Todd E. Humphreys, Ufuk Topcu
2024	J	`jnl`	MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements. CoRR Lisong C. Sun, Neel P. Bhatt, Jonathan C. Liu, Zhiwen Fan, Zhangyang Wang, Todd E. Humphreys, Ufuk Topcu
2024	A*	`conf`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. NeurIPS Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
2024	J	`jnl`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. CoRR Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
2024	—	`conf`	NeRF as Pretraining at Scale: Generalizable 3D-Aware Semantic Representation Learning from View Prediction. CVPR Workshops Wenyan Cong, Hanxue Liang, Zhiwen Fan, Peihao Wang, Yifan Jiang, Dejia Xu, A. Cengiz Öztireli, Zhangyang Wang
2024	J	`jnl`	Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK. J. Mach. Learn. Res. Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Yingbin Liang, Zhangyang Wang
2024	J	`jnl`	Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design. IEEE Trans. Circuits Syst. II Express Briefs Xiaoxuan Yang, Zhangyang Wang, X. Sharon Hu, Chris H. Kim, Shimeng Yu, Miroslav Pajic, Rajit Manohar, Yiran Chen, Hai Helen Li
2024	J	`jnl`	On How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks. CoRR William T. Redman, Zhangyang Wang, Alessandro Ingrosso, Sebastian Goldt
2024	J	`jnl`	On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability. CoRR Kevin Wang, Junbo Li, Neel P. Bhatt, Yihan Xi, Qiang Liu, Ufuk Topcu, Zhangyang Wang
2024	J	`jnl`	One is Not Enough: Parameter-Efficient Fine-Tuning With Multiplicative Sparse Factorization. IEEE J. Sel. Top. Signal Process. Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang
2024	A*	`conf`	OpenBias: Open-Set Bias Detection in Text-to-Image Generative Models. CVPR Moreno D'Incà, Elia Peruzzo, Massimiliano Mancini, Dejia Xu, Vidit Goel, Xingqian Xu, Zhangyang Wang, Humphrey Shi, Nicu Sebe
2024	J	`jnl`	OpenBias: Open-set Bias Detection in Text-to-Image Generative Models. CoRR Moreno D'Incà, Elia Peruzzo, Massimiliano Mancini, Dejia Xu, Vidit Goel, Xingqian Xu, Zhangyang Wang, Humphrey Shi, Nicu Sebe
2024	J	`jnl`	Oscillation Inversion: Understand the structure of Large Flow Model through the Lens of Inversion Method. CoRR Yan Zheng, Zhenxiao Liang, Xiaoyan Cong, Lanqing Guo, Yuehao Wang, Peihao Wang, Zhangyang Wang
2024	A*	`conf`	Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. ICML Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu
2024	A*	`conf`	PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor. CVPR Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Xingqian Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi
2024	—	`conf`	POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. CVPR Workshops Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Dejia Xu, Zhangyang Wang
2024	A*	`conf`	Polynomial Width is Sufficient for Set Representation with High-dimensional Features. ICLR Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
2024	A*	`conf`	Principled Architecture-aware Scaling of Hyperparameters. ICLR Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin
2024	J	`jnl`	Principled Architecture-aware Scaling of Hyperparameters. CoRR Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin
2024	A*	`conf`	Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models. CVPR Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi
2024	J	`jnl`	Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients. CoRR Zhenyu Zhang, Ajay Jaiswal, Lu Yin, Shiwei Liu, Jiawei Zhao, Yuandong Tian, Zhangyang Wang
2024	J	`jnl`	QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. CoRR Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang
2024	—	`conf`	RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. ACL (Findings) Gabriel J. Perin, Xuxi Chen, Shusen Liu, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
2024	A*	`conf`	Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. NeurIPS Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2024	J	`jnl`	Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. CoRR Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2024	A*	`conf`	Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. ICML Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
2024	J	`jnl`	Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. CoRR Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
2024	A*	`conf`	Safe and Robust Watermark Injection with a Single OoD Image. ICLR Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou
2024	—	`conf`	Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk. SaTML Zhangheng Li, Junyuan Hong, Bo Li, Zhangyang Wang
2024	J	`jnl`	Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk. CoRR Zhangheng Li, Junyuan Hong, Bo Li, Zhangyang Wang
2024	A*	`conf`	Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community. ICLR Arman Isajanyan, Artur Shatveryan, David Kocharian, Zhangyang Wang, Humphrey Shi
2024	J	`jnl`	Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community. CoRR Arman Isajanyan, Artur Shatveryan, David Kocharyan, Zhangyang Wang, Humphrey Shi
2024	A*	`conf`	Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once. ICML Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang
2024	J	`jnl`	SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. CoRR Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024	J	`jnl`	StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text. CoRR Roberto Henschel, Levon Khachatryan, Daniil Hayrapetyan, Hayk Poghosyan, Vahram Tadevosyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
2024	J	`jnl`	Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization. CoRR Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang
2024	A*	`conf`	Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CVPR Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024	J	`jnl`	Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024	J	`jnl`	Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
2024	A*	`conf`	Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis. NeurIPS Hongru Yang, Bhavya Kailkhura, Zhangyang Wang, Yingbin Liang
2024	J	`jnl`	Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis. CoRR Hongru Yang, Bhavya Kailkhura, Zhangyang Wang, Yingbin Liang
2024	—	`conf`	Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting. WWW (Companion Volume) Yan Han, Kaiqi Chen, Shan Li, Ji Yan, Baoxu Shi, Lei Zhang, Fei Chen, Jaewon Yang, Yunpeng Xu, Xiaoqiang Luo, Qi He, Ying Ding, Zhangyang Wang
2024	J	`jnl`	Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics. IEEE Trans. Pattern Anal. Mach. Intell. Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang
2024	J	`jnl`	VASE: Object-Centric Appearance and Shape Manipulation of Real Videos. CoRR Elia Peruzzo, Vidit Goel, Dejia Xu, Xingqian Xu, Yifan Jiang, Zhangyang Wang, Humphrey Shi, Nicu Sebe
2024	—	`conf`	VersatileGaussian: Real-Time Neural Rendering for Versatile Tasks Using Gaussian Splatting. ECCV (20) Renjie Li, Zhiwen Fan, Bohua Wang, Peihao Wang, Zhangyang Wang, Xi Wu
2024	—	`conf`	WS-iFSD: Weakly Supervised Incremental Few-shot Object Detection Without Forgetting. CPAL Xinyu Gong, Li Yin, Juan-Manuel Perez-Rua, Zhangyang Wang, Zhicheng Yan
2024	A*	`conf`	Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis. CVPR Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
2024	J	`jnl`	Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis. CoRR Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
2024	J	`jnl`	Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. IEEE Trans. Pattern Anal. Mach. Intell. Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu
2023	—	`conf`	"No Free Lunch" in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization. AutoML Wuyang Chen, Wei Huang, Zhangyang Wang
2023	J	`jnl`	(Dynamic) Prompting might be all you need to repair Compressed LLMs. CoRR Duc N. M. Hoang, Minsik Cho, Thomas Merth, Mohammad Rastegari, Zhangyang Wang
2023	J	`jnl`	4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency. CoRR YuYang Yin, Dejia Xu, Zhangyang Wang, Yao Zhao, Yunchao Wei
2023	J	`jnl`	A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth. IEEE Trans. Image Process. Priya Narayanan, Xin Hu, Zhenyu Wu, Matthew D. Thielke, John G. Rogers, Andre V. Harrison, John A. D'Agostino, James D. Brown, Long P. Quang, James R. Uplinger, Heesung Kwon, Zhangyang Wang
2023	—	`conf`	Accelerable Lottery Tickets with the Mixed-Precision Quantization. CVPR Workshops Zhangheng Li, Yu Gong, Zhenyu Zhang, Xingyun Xue, Tianlong Chen, Yi Liang, Bo Yuan, Zhangyang Wang
2023	A*	`conf`	AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts. ICCV Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li
2023	A*	`conf`	AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training. CVPR Yifan Jiang, Peter Hedman, Ben Mildenhall, Dejia Xu, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
2023	A*	`conf`	Are Large Kernels Better Teachers than Transformers for ConvNets? ICML Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu
2023	J	`jnl`	Are Large Kernels Better Teachers than Transformers for ConvNets? CoRR Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu
2023	A	`conf`	Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. WACV Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
2023	—	`conf`	AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CVPR Workshops Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
2023	J	`jnl`	AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection. CoRR Wentao Zhu, Yufang Huang, Xiufeng Xie, Wenxian Liu, Jincan Deng, Debing Zhang, Zhangyang Wang, Ji Liu
2023	J	`jnl`	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. IEEE Trans. Pattern Anal. Mach. Intell. Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2023	J	`jnl`	Broad Spectrum Image Deblurring via an Adaptive Super-Network. IEEE Trans. Image Process. Qiucheng Wu, Yifan Jiang, Junru Wu, Victor Kulikov, Vidit Goel, Nikita Orlov, Humphrey Shi, Zhangyang Wang, Shiyu Chang
2023	J	`jnl`	Can Pruning Improve Certified Robustness of Neural Networks? Trans. Mach. Learn. Res. Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2023	J	`jnl`	Chasing Better Deep Image Priors between Over- and Under-parameterization. Trans. Mach. Learn. Res. Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang
2023	J	`jnl`	Compressing LLMs: The Truth is Rarely Pure and Never Simple. CoRR Ajay Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang
2023	A*	`conf`	Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins. ICLR Hehe Fan, Zhangyang Wang, Yi Yang, Mohan S. Kankanhalli
2023	J	`jnl`	Convergence and Generalization of Wide Neural Networks with Large Bias. CoRR Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Zhangyang Wang, Yingbin Liang
2023	J	`jnl`	DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer. CoRR Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
2023	—	`conf`	DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. ACL (1) Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng
2023	J	`jnl`	Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality. CoRR Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman
2023	A*	`conf`	Data Efficient Neural Scaling Law via Model Reusing. ICML Peihao Wang, Rameswar Panda, Zhangyang Wang
2023	—	`conf`	Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. ASP-DAC Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao
2023	A*	`conf`	Don't just prune by magnitude! Your mask topology is a secret weapon. NeurIPS Duc Hoang, Souvik Kundu, Shiwei Liu, Zhangyang Wang
2023	J	`jnl`	Doubly Robust Instance-Reweighted Adversarial Training. CoRR Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang
2023	J	`jnl`	Drag View: Generalizable Novel View Synthesis with Unposed Imagery. CoRR Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Hanwen Jiang, Dejia Xu, Zehao Zhu, Dilin Wang, Zhangyang Wang
2023	A*	`conf`	Dynamic Sparsity Is Channel-Level Sparsity Learner. NeurIPS Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
2023	J	`jnl`	Dynamic Sparsity Is Channel-Level Sparsity Learner. CoRR Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
2023	A	`conf`	Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-Level Sparsity via Mixture-of-Experts. ICCAD Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao
2023	J	`jnl`	Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts. CoRR Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao
2023	J	`jnl`	Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. CoRR Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
2023	A*	`conf`	Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. ICCV Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang
2023	J	`jnl`	Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. CoRR Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang
2023	A*	`conf`	Equivariant Hypergraph Diffusion Neural Operators. ICLR Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
2023	J	`jnl`	Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations. CoRR Mingquan Lin, Yuyun Xiao, Bo-Jian Hou, Tingyi Wanyan, Mohit Manoj Sharma, Zhangyang Wang, Fei Wang, Sarah Van Tassel, Yifan Peng
2023	J	`jnl`	FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting. CoRR Zehao Zhu, Zhiwen Fan, Yifan Jiang, Zhangyang Wang
2023	J	`jnl`	FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. CoRR Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Xingguang Zhang, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil K. Jain, Xiaoming Liu
2023	J	`jnl`	Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields. CoRR Shijie Zhou, Haoran Chang, Sicheng Jiang, Zhiwen Fan, Zehao Zhu, Dejia Xu, Pradyumna Chari, Suya You, Zhangyang Wang, Achuta Kadambi
2023	A*	`conf`	Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. AAAI Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
2023	J	`jnl`	Fine-Tuning Language Models Using Formal Methods Feedback. CoRR Yunhao Yang, Neel P. Bhatt, Tyler Ingebrand, William Ward, Steven Carr, Zhangyang Wang, Ufuk Topcu
2023	J	`jnl`	Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models. CoRR Eric J. Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi
2023	J	`jnl`	Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. IEEE Data Eng. Bull. Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang
2023	A*	`conf`	Graph Domain Adaptation via Theory-Grounded Spectral Regularization. ICLR Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2023	A*	`conf`	Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. ICML Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. CoRR Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	A*	`conf`	Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. NeurIPS Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang
2023	J	`jnl`	Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. CoRR Haotao Wang, Ziyu Jiang, Yan Han, Zhangyang Wang
2023	J	`jnl`	H CoRR Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen
2023	A*	`conf`	H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. NeurIPS Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen
2023	J	`jnl`	HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models. CoRR Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
2023	A*	`conf`	HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing. ICLR Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans
2023	J	`jnl`	How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? CoRR Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang
2023	—	`conf`	How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? MICCAI (5) Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang
2023	J	`jnl`	How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. Trans. Mach. Learn. Res. Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang
2023	A	`conf`	INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing. ICCAD Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao
2023	J	`jnl`	INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing. CoRR Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao
2023	J	`jnl`	In-Context Learning Unlocked for Diffusion Models. CoRR Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
2023	A*	`conf`	Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. ICML Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. CoRR Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Integrating the traffic science with representation learning for city-wide network congestion prediction. Inf. Fusion Wenqing Zheng, Hao (Frank) Yang, Jiarui Cai, Peihao Wang, Xuan Jiang, Simon Shaolei Du, Yinhai Wang, Zhangyang Wang
2023	A*	`conf`	Is Attention All That NeRF Needs? ICLR Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2023	J	`jnl`	Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity. CoRR Lu Yin, Shiwei Liu, Ajay Jaiswal, Souvik Kundu, Zhangyang Wang
2023	A*	`conf`	Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations. ICLR Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang
2023	J	`jnl`	Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations. CoRR Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang
2023	J	`jnl`	Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images. CoRR Panwang Pan, Zhiwen Fan, Brandon Y. Feng, Peihao Wang, Chenxin Li, Zhangyang Wang
2023	A	`conf`	Learning to Generalize Provably in Learning to Optimize. AISTATS Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang
2023	J	`jnl`	Learning to Generalize Provably in Learning to Optimize. CoRR Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang
2023	A*	`conf`	Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
2023	J	`jnl`	Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
2023	A*	`conf`	Learning to Optimize Differentiable Games. ICML Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang
2023	J	`jnl`	LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS. CoRR Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang
2023	A*	`conf`	Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit. ICML Yeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella
2023	A*	`conf`	M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. ICLR Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang
2023	J	`jnl`	M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. CoRR Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang
2023	A*	`conf`	MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition. CVPR Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan
2023	J	`jnl`	MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition. CoRR Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan
2023	—	`conf`	Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. CVPR Workshops Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang
2023	J	`jnl`	Meta ControlNet: Enhancing Task Adaptation via Meta Learning. CoRR Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang
2023	A*	`conf`	More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
2023	J	`jnl`	Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else. CoRR Hazarapet Tunanyan, Dejia Xu, Shant Navasardyan, Zhangyang Wang, Humphrey Shi
2023	A*	`conf`	NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes. ICLR Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang
2023	A*	`conf`	NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views. CVPR Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
2023	A	`conf`	On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks. AISTATS Hongru Yang, Zhangyang Wang
2023	J	`jnl`	Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. CoRR Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Mykola Pechenizkiy, Yi Liang, Zhangyang Wang, Shiwei Liu
2023	A*	`conf`	Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation. ICML Wenqing Zheng, S. P. Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang
2023	J	`jnl`	Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation. CoRR Wenqing Zheng, S. P. Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang
2023	J	`jnl`	PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models. CoRR Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi
2023	J	`jnl`	POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. CoRR Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Dejia Xu, Hanwen Jiang, Zhangyang Wang
2023	A*	`conf`	Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. NeurIPS Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
2023	J	`jnl`	Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
2023	A*	`conf`	Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. AAAI Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang
2023	A*	`conf`	Physics-Driven Turbulence Image Restoration with Stochastic Refinement. ICCV Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang
2023	J	`jnl`	Physics-Driven Turbulence Image Restoration with Stochastic Refinement. CoRR Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang
2023	J	`jnl`	Polynomial Width is Sufficient for Set Representation with High-dimensional Features. CoRR Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
2023	J	`jnl`	Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models. CoRR Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi
2023	J	`jnl`	Pruning Before Training May Improve Generalization, Provably. CoRR Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang
2023	Misc	`conf`	QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. QCE Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang
2023	J	`jnl`	Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. IEEE Trans. Medical Imaging Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang
2023	J	`jnl`	Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap. CoRR Dejia Xu, Xingqian Xu, Wenyan Cong, Humphrey Shi, Zhangyang Wang
2023	J	`jnl`	Rethinking PGD Attack: Is Sign Function Necessary? CoRR Junjie Yang, Tianlong Chen, Xuxi Chen, Zhangyang Wang, Yingbin Liang
2023	A*	`conf`	Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph. ICLR Duc N. M. Hoang, Shiwei Liu, Radu Marculescu, Zhangyang Wang
2023	A*	`conf`	Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
2023	J	`jnl`	Robust Mixture-of-Expert Training for Convolutional Neural Networks. CoRR Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
2023	A*	`conf`	Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? ICML Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
2023	J	`jnl`	Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? CoRR Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
2023	J	`jnl`	Safe and Robust Watermark Injection with a Single OoD Image. CoRR Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou
2023	A*	`conf`	Safeguarded Learned Convex Optimization. AAAI Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2023	A	`conf`	Search Behavior Prediction: A Hypergraph Perspective. WSDM Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2023	J	`jnl`	SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. IEEE Trans. Neural Networks Learn. Syst. Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang
2023	A*	`conf`	Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. ICLR Tianlong Chen, Zhenyu Zhang, Ajay Kumar Jaiswal, Shiwei Liu, Zhangyang Wang
2023	J	`jnl`	Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. CoRR Tianlong Chen, Zhenyu Zhang, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang
2023	A*	`conf`	Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang
2023	J	`jnl`	Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! CoRR Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Jaiswal, Zhangyang Wang
2023	A*	`conf`	Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models to Learn Any Unseen Style. CVPR Haoming Lu, Hazarapet Tunanyan, Kai Wang, Shant Navasardyan, Zhangyang Wang, Humphrey Shi
2023	A*	`conf`	StegaNeRF: Embedding Invisible Information within Neural Radiance Fields. ICCV Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang
2023	J	`jnl`	Taxonomy of Machine Learning Safety: A Survey and Primer. ACM Comput. Surv. Sina Mohseni, Haotao Wang, Chaowei Xiao, Zhiding Yu, Zhangyang Wang, Jay Yadawa
2023	J	`jnl`	Ten Lessons We Have Learned in the New "Sparseland": A Short Handbook for Sparse Neural Network Researchers. CoRR Shiwei Liu, Zhangyang Wang
2023	A*	`conf`	Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators. ICCV Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
2023	J	`jnl`	Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators. CoRR Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
2023	J	`jnl`	The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need. CoRR Tianjin Huang, Tianlong Chen, Zhangyang Wang, Shiwei Liu
2023	A*	`conf`	The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter. NeurIPS Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang
2023	J	`jnl`	The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter. CoRR Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang
2023	A*	`conf`	Towards Constituting Mathematical Structures for Learning to Optimize. ICML Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
2023	J	`jnl`	Towards Constituting Mathematical Structures for Learning to Optimize. CoRR Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
2023	J	`jnl`	Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
2023	J	`jnl`	Troubleshooting image segmentation models with human-in-the-loop. Mach. Learn. Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2023	A*	`conf`	Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection. ICLR Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
2023	A*	`conf`	Versatile Diffusion: Text, Images and Variations All in One Diffusion Model. ICCV Xingqian Xu, Zhangyang Wang, Eric J. Zhang, Kai Wang, Humphrey Shi
2023	A*	`conf`	Vision HGNN: An Image is More than a Graph of Nodes. ICCV Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang
2023	J	`jnl`	You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. CoRR Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2023	J	`jnl`	You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. Trans. Mach. Learn. Res. Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2023	J	`jnl`	Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. CoRR Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu
2022	A*	`conf`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. NeurIPS Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	J	`jnl`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. CoRR Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	J	`jnl`	A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth. CoRR Priya Narayanan, Xin Hu, Zhenyu Wu, Matthew D. Thielke, John G. Rogers, Andre V. Harrison, John A. D'Agostino, James D. Brown, Long P. Quang, James R. Uplinger, Heesung Kwon, Zhangyang Wang
2022	—	`conf`	A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. ECCV (10) Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022	J	`jnl`	APP: Anytime Progressive Pruning. CoRR Diganta Misra, Bharat Runwal, Tianlong Chen, Zhangyang Wang, Irina Rish
2022	J	`jnl`	Adversarial Feature Augmentation and Normalization for Visual Recognition. Trans. Mach. Learn. Res. Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang
2022	J	`jnl`	AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training. CoRR Yifan Jiang, Peter Hedman, Ben Mildenhall, Dejia Xu, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
2022	A*	`conf`	Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. ICLR Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
2022	J	`jnl`	Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. CoRR Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
2022	J	`jnl`	Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. CoRR Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
2022	A*	`conf`	Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable. ICLR Shaojin Ding, Tianlong Chen, Zhangyang Wang
2022	A*	`conf`	Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CVPR Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang
2022	J	`jnl`	Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CoRR Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang
2022	A*	`conf`	Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. NeurIPS Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
2022	J	`jnl`	Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. CoRR Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
2022	B	`conf`	Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. FPL Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022	J	`jnl`	Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. CoRR Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022	A	`conf`	Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. WACV Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang
2022	A*	`conf`	Auto-scaling Vision Transformers without Training. ICLR Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022	J	`jnl`	Auto-scaling Vision Transformers without Training. CoRR Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022	—	`conf`	AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks. AutoML Duc N. M. Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	A	`conf`	AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. CIKM Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang
2022	A*	`conf`	Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation. NeurIPS Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang
2022	A*	`conf`	Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How. ICLR Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen
2022	A	`conf`	Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. WSDM Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2022	J	`jnl`	Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. CoRR Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2022	A*	`conf`	CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings. CVPR Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang
2022	J	`jnl`	CERL: A Unified Optimization Framework for Light Enhancement With Realistic Noise. IEEE Trans. Image Process. Zeyuan Chen, Yifan Jiang, Dong Liu, Zhangyang Wang
2022	J	`jnl`	Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer? CoRR Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zhangyang Wang
2022	J	`jnl`	Can You Win Everything with A Lottery Ticket? Trans. Mach. Learn. Res. Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang
2022	J	`jnl`	Can pruning improve certified robustness of neural networks? CoRR Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2022	A*	`conf`	Cloud2Sketch: Augmenting Clouds with Imaginary Sketches. ACM Multimedia Zhaoyi Wan, Dejia Xu, Zhangyang Wang, Jian Wang, Jiebo Luo
2022	A*	`conf`	Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. ICML Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang
2022	J	`jnl`	Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. CoRR Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang
2022	A*	`conf`	Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. ICLR Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
2022	J	`jnl`	DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. ACM Trans. Design Autom. Electr. Syst. Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin
2022	A*	`conf`	Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. ICML Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang
2022	J	`jnl`	Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. CoRR Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang
2022	J	`jnl`	Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. CoRR Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao
2022	A*	`conf`	Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis. NeurIPS Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang
2022	J	`jnl`	Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis. CoRR Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang
2022	A*	`conf`	Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. ICLR Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2022	—	`conf`	Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. MLHC Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi
2022	J	`jnl`	Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. CoRR Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak Mortazavi
2022	A*	`conf`	DiSparse: Disentangled Sparsification for Multitask Model Compression. CVPR Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi
2022	J	`jnl`	DiSparse: Disentangled Sparsification for Multitask Model Compression. CoRR Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi
2022	—	`conf`	DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment. ECCV (20) Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang
2022	J	`jnl`	DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness. CoRR Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi
2022	—	`conf`	Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent. FAccT Junyuan Hong, Zhangyang Wang, Jiayu Zhou
2022	Misc	`conf`	Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness. ICASSP Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi
2022	J	`jnl`	E CoRR Xin Hu, Zhenyu Wu, Hao-Yu Miao, Siqi Fan, Taiyu Long, Zhenyu Hu, Pengcheng Pi, Yi Wu, Zhou Ren, Zhangyang Wang, Gang Hua
2022	A*	`conf`	EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. CVPR Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie
2022	J	`jnl`	E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles. CoRR Zhenyu Hu, Zhenyu Wu, Pengcheng Pi, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu
2022	A*	`conf`	Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. ICLR Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
2022	J	`jnl`	Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. CoRR Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
2022	J	`jnl`	Equivariant Hypergraph Diffusion Neural Operators. CoRR Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
2022	A*	`conf`	FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. DAC Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022	—	`conf`	Fast and High Quality Image Denoising via Malleable Convolution. ECCV (18) Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
2022	J	`jnl`	Fast and High-Quality Image Denoising via Malleable Convolutions. CoRR Yifan Jiang, Bart Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
2022	A*	`conf`	Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. AAAI Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen
2022	J	`jnl`	Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. CoRR Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Gong Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang
2022	J	`jnl`	Guest Editorial Special Section on Learning With Multimodal Data for Biomedical Informatics. IEEE Trans. Circuits Syst. Video Technol. Zhangyang Wang, Vishal Patel, Bing Yao, Steve B. Jiang, Huimin Lu, Yang Shen
2022	J	`jnl`	How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. CoRR Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang
2022	J	`jnl`	Is Attention All NeRF Needs? CoRR Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2022	A	`conf`	Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. WACV Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang
2022	A*	`conf`	Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining. ICLR Lu Miao, Xiaolong Luo, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang
2022	J	`jnl`	Learning to Optimize: A Primer and A Benchmark. J. Mach. Learn. Res. Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2022	A*	`conf`	Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. ICML Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang
2022	J	`jnl`	Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. CoRR Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang
2022	—	`conf`	Locating Urban Trees near Electric Wires using Google Street View Photos: A New Dataset and A Semi-Supervised Learning Approach in the Wild. CVPR Workshops Artur André Almeida de Macedo Oliveira, Zhangyang Wang, Roberto Hirata
2022	—	`conf`	Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. DALI@MICCAI Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang
2022	J	`jnl`	Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. CoRR Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang
2022	J	`jnl`	M CoRR Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
2022	—	`conf`	Model elasticity for hardware heterogeneity in federated learning systems. FedEdge@MobiCom Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Marculescu
2022	J	`jnl`	More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. CoRR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
2022	A*	`conf`	M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. NeurIPS Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
2022	J	`jnl`	NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes. CoRR Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang
2022	A*	`conf`	Neural Implicit Dictionary Learning via Mixture-of-Expert Training. ICML Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
2022	J	`jnl`	Neural Implicit Dictionary via Mixture-of-Expert Training. CoRR Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
2022	J	`jnl`	NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views. CoRR Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
2022	A*	`conf`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. CoRR Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	J	`jnl`	On the Neural Tangent Kernel Analysis of Randomly Pruned Wide Neural Networks. CoRR Hongru Yang, Zhangyang Wang
2022	A*	`conf`	Optimizer Amalgamation. ICLR Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang
2022	J	`jnl`	Optimizer Amalgamation. CoRR Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang
2022	A*	`conf`	Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. ICML Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J. Smola, Zhangyang Wang
2022	J	`jnl`	Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. CoRR Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex Smola, Zhangyang Wang
2022	A*	`conf`	Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently. ICLR Xiaohan Chen, Jason Zhang, Zhangyang Wang
2022	J	`jnl`	Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. CoRR Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang
2022	—	`conf`	Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction. ECCV (3) Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang
2022	J	`jnl`	Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset. IEEE Trans. Pattern Anal. Mach. Intell. Zhenyu Wu, Haotao Wang, Zhaowen Wang, Hailin Jin, Zhangyang Wang
2022	J	`jnl`	QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks. CoRR Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, Xia Hu
2022	A*	`conf`	Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CVPR Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang
2022	J	`jnl`	Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CoRR Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang
2022	J	`jnl`	Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning. CoRR Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang
2022	J	`jnl`	Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning. Trans. Mach. Learn. Res. Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang
2022	J	`jnl`	Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. CoRR Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang
2022	A*	`conf`	Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets. NeurIPS Ruisi Cai, Zhenyu Zhang, Tianlong Chen, Xiaohan Chen, Zhangyang Wang
2022	A*	`conf`	ReCoRo: Region-Controllable Robust Light Enhancement with User-Specified Imprecise Masks. ACM Multimedia Dejia Xu, Hayk Poghosyan, Shant Navasardyan, Yifan Jiang, Humphrey Shi, Zhangyang Wang
2022	A*	`conf`	Removing Batch Normalization Boosts Adversarial Training. ICML Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang
2022	J	`jnl`	Removing Batch Normalization Boosts Adversarial Training. CoRR Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang
2022	A*	`conf`	RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. ICDM Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
2022	J	`jnl`	RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. CoRR Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
2022	A	`conf`	Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity. WACV Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang
2022	—	`conf`	Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models. ECCV (23) Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang
2022	J	`jnl`	Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2022	A*	`conf`	Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization. NeurIPS Junru Wu, Yi Liang, Feng Han, Hassan Akbari, Zhangyang Wang, Cong Yu
2022	J	`jnl`	Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization. CoRR Junru Wu, Yi Liang, Feng Han, Hassan Akbari, Zhangyang Wang, Cong Yu
2022	J	`jnl`	Search Behavior Prediction: A Hypergraph Perspective. CoRR Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2022	J	`jnl`	Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis. CoRR Gregory Holste, Evangelos K. Oikonomou, Bobak Mortazavi, Zhangyang Wang, Rohan Khera
2022	J	`jnl`	Shape-Matching GAN++: Scale Controllable Dynamic Artistic Text Style Transfer. IEEE Trans. Pattern Anal. Mach. Intell. Shuai Yang, Zhangyang Wang, Jiaying Liu
2022	A*	`conf`	Signal Processing for Implicit Neural Representations. NeurIPS Dejia Xu, Peihao Wang, Yifan Jiang, Zhiwen Fan, Zhangyang Wang
2022	J	`jnl`	Signal Processing for Implicit Neural Representations. CoRR Dejia Xu, Peihao Wang, Yifan Jiang, Zhiwen Fan, Zhangyang Wang
2022	—	`conf`	SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. ECCV (22) Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang
2022	J	`jnl`	SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. CoRR Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang
2022	J	`jnl`	Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model. CoRR Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan
2022	—	`conf`	Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model. ECCV (19) Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan
2022	A*	`conf`	Sparse Winning Tickets are Data-Efficient Image Recognizers. NeurIPS Mukund Varma T., Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2022	A*	`conf`	Sparsity Winning Twice: Better Robust Generalization from More Efficient Training. ICLR Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang
2022	J	`jnl`	Sparsity Winning Twice: Better Robust Generalization from More Efficient Training. CoRR Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang
2022	J	`jnl`	StegaNeRF: Embedding Invisible Information within Neural Radiance Fields. CoRR Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang
2022	J	`jnl`	StyleNAT: Giving Each Head a New Perspective. CoRR Steven Walton, Ali Hassani, Xingqian Xu, Zhangyang Wang, Humphrey Shi
2022	—	`conf`	Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng
2022	A*	`conf`	Symbolic Distillation for Learned TCP Congestion Control. NeurIPS S. P. Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang
2022	J	`jnl`	Symbolic Distillation for Learned TCP Congestion Control. CoRR S. P. Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang
2022	A*	`conf`	Symbolic Learning to Optimize: Towards Interpretability and Scalability. ICLR Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang
2022	J	`jnl`	Symbolic Learning to Optimize: Towards Interpretability and Scalability. CoRR Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang
2022	J	`jnl`	Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search. CoRR Wenqing Zheng, S. P. Sharan, Zhiwen Fan, Kevin Wang, Yihan Xi, Zhangyang Wang
2022	A*	`conf`	The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. CVPR Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang
2022	J	`jnl`	The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. CoRR Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang
2022	A*	`conf`	The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. ICLR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
2022	J	`jnl`	The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. CoRR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
2022	Misc	`conf`	Towards Lifelong Learning of Multilingual Text-to-Speech Synthesis. ICASSP Mu Yang, Shaojin Ding, Tianlong Chen, Tong Wang, Zhangyang Wang
2022	A*	`conf`	Training Your Sparse Neural Network Better with Any Mask. ICML Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Training Your Sparse Neural Network Better with Any Mask. CoRR Ajay Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang
2022	A*	`conf`	Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. NeurIPS Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang
2022	J	`jnl`	Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. CoRR Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang
2022	A*	`conf`	TxVAD: Improved Video Action Detection by Transformers. ACM Multimedia Zhenyu Wu, Zhou Ren, Yi Wu, Zhangyang Wang, Gang Hua
2022	—	`conf`	Unified Implicit Neural Stylization. ECCV (15) Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang
2022	J	`jnl`	Unified Implicit Neural Stylization. CoRR Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang
2022	A*	`conf`	Unified Visual Transformer Compression. ICLR Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
2022	J	`jnl`	Unified Visual Transformer Compression. CoRR Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang
2022	A*	`conf`	Universality of Winning Tickets: A Renormalization Group Perspective. ICML William T. Redman, Tianlong Chen, Zhangyang Wang, Akshunna S. Dogra
2022	J	`jnl`	VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer. CoRR Mengshu Sun, Haoyu Ma, Guoliang Kang, Yifan Jiang, Tianlong Chen, Xiaolong Ma, Zhangyang Wang, Yanzhi Wang
2022	A	`conf`	VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. AISTATS Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian
2022	J	`jnl`	VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. CoRR Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian
2022	A*	`conf`	VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. ICML Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian
2022	J	`jnl`	Versatile Diffusion: Text, Images and Variations All in One Diffusion Model. CoRR Xingqian Xu, Zhangyang Wang, Eric J. Zhang, Kai Wang, Humphrey Shi
2022	A*	`conf`	VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution. CVPR Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang
2022	J	`jnl`	VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution. CoRR Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang
2022	—	`conf`	You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. LoG Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
2022	J	`jnl`	You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. CoRR Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
2021	—	`conf`	"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization. CVPR Workshops Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
2021	J	`jnl`	"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization. CoRR Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
2021	J	`jnl`	A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives. Int. J. Comput. Vis. Siyuan Li, Wenqi Ren, Feng Wang, Iago Breno Araujo, Eric K. Tokuda, Roberto Hirata Junior, Roberto M. Cesar Jr., Zhangyang Wang, Xiaochun Cao
2021	A*	`conf`	A Design Space Study for LISTA and Beyond. ICLR Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang
2021	J	`jnl`	A Design Space Study for LISTA and Beyond. CoRR Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang
2021	J	`jnl`	A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation. CoRR Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
2021	A*	`conf`	A Unified Lottery Ticket Hypothesis for Graph Neural Networks. ICML Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
2021	J	`jnl`	A Unified Lottery Ticket Hypothesis for Graph Neural Networks. CoRR Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
2021	J	`jnl`	AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. IEEE Trans. Mob. Comput. Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Hui Liu, Zhangyang Wang, Yingyan Lin
2021	J	`jnl`	Adversarial Feature Augmentation and Normalization for Visual Recognition. CoRR Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu
2021	—	`conf`	An Al-based Spatial Knowledge Graph for Enhancing Spatial Data and Knowledge Search and Discovery. GeoSearch@SIGSPATIAL Zhe Zhang, Zhangyang Wang, Angela Li, Xinyue Ye, E. Lynn Usery, Diya Li
2021	A*	`conf`	AugMax: Adversarial Composition of Random Augmentations for Robust Training. NeurIPS Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang
2021	J	`jnl`	AugMax: Adversarial Composition of Random Augmentations for Robust Training. CoRR Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang
2021	J	`jnl`	Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. CoRR Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang
2021	J	`jnl`	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. CoRR Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2021	J	`jnl`	Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study. CoRR Zhenyu Wu, Zhaowen Wang, Ye Yuan, Jianming Zhang, Zhangyang Wang, Hailin Jin
2021	J	`jnl`	Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study. ACM Trans. Multim. Comput. Commun. Appl. Zhenyu Wu, Zhaowen Wang, Ye Yuan, Jianming Zhang, Zhangyang Wang, Hailin Jin
2021	J	`jnl`	Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data. CoRR Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S. Glicksberg
2021	J	`jnl`	Bridging the Gap Between Computational Photography and Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster, Michael Albright, Pedro Davalos, Scott McCloskey, Ben Miller, Asong Tambo, Sushobhan Ghosh, Sudarshan Nagesh, Ye Yuan, Yueyu Hu, Junru Wu, Wenhan Yang, Xiaoshuai Zhang, Jiaying Liu, Zhangyang Wang, Hwann-Tzong Chen, Tzu-Wei Huang, Wen-Chi Chin, Yi-Chun Li, Mahmoud Lababidi, Charles Otto, Walter J. Scheirer
2021	J	`jnl`	CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise. CoRR Zeyuan Chen, Yifan Jiang, Dong Liu, Zhangyang Wang
2021	A*	`conf`	Chasing Sparsity in Vision Transformers: An End-to-End Exploration. NeurIPS Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
2021	J	`jnl`	Chasing Sparsity in Vision Transformers: An End-to-End Exploration. CoRR Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
2021	J	`jnl`	Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. CoRR Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
2021	A*	`conf`	Contrastive Syn-to-Real Generalization. ICLR Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar
2021	J	`jnl`	Contrastive Syn-to-Real Generalization. CoRR Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar
2021	J	`jnl`	Contrastive learning improves critical event prediction in COVID-19 patients. Patterns Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
2021	J	`jnl`	Controllable Sketch-to-Image Translation for Robust Face Synthesis. IEEE Trans. Image Process. Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo
2021	J	`jnl`	Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. CoRR Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang
2021	J	`jnl`	DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. CoRR Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin
2021	J	`jnl`	DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. CoRR Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Zhangyang Wang, Ahmed Hassan Awadallah
2021	A*	`conf`	Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective. NeurIPS Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
2021	A*	`conf`	Debiased Subjective Assessment of Real-World Image Enhancement. CVPR Peibei Cao, Zhangyang Wang, Kede Ma
2021	J	`jnl`	Debiased Subjective Assessment of Real-World Image Enhancement. CoRR Peibei Cao, Zhangyang Wang, Kede Ma
2021	J	`jnl`	Deep Adversarial Data Augmentation for Extremely Low Data Regimes. IEEE Trans. Circuits Syst. Video Technol. Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qifeng Lin, Qing Ling
2021	A*	`conf`	Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems. NeurIPS Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang
2021	J	`jnl`	Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems. CoRR Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang
2021	—	`conf`	Dissecting the High-Frequency Bias in Convolutional Neural Networks. CVPR Workshops Antonio A. Abello, Roberto Hirata, Zhangyang Wang
2021	—	`conf`	DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. BHI Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi
2021	—	`conf`	E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. CVPR Workshops Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu
2021	—	`conf`	EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. ACL/IJCNLP (1) Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu
2021	J	`jnl`	EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. CoRR Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu
2021	A*	`conf`	Efficient Lottery Ticket Finding: Less Data is More. ICML Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang
2021	J	`jnl`	Efficient Lottery Ticket Finding: Less Data is More. CoRR Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang
2021	J	`jnl`	EnlightenGAN: Deep Light Enhancement Without Paired Supervision. IEEE Trans. Image Process. Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
2021	J	`jnl`	Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts. J. Chem. Inf. Model. Mostafa Karimi, Di Wu, Zhangyang Wang, Yang Shen
2021	J	`jnl`	Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition. CoRR Jiebin Yan, Yu Zhong, Yuming Fang, Zhangyang Wang, Kede Ma
2021	J	`jnl`	Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition. Int. J. Comput. Vis. Jiebin Yan, Yu Zhong, Yuming Fang, Zhangyang Wang, Kede Ma
2021	J	`jnl`	Fast Sequential Feature Extraction for Recurrent Neural Network-Based Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Andong Ma, Anthony M. Filippi, Zhangyang Wang, Zhengcong Yin, Da Huo, Xiao Li, Burak Güneralp
2021	A*	`conf`	Federated Adversarial Debiasing for Fair and Transferable Representations. KDD Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou
2021	J	`jnl`	Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. CoRR Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen
2021	J	`jnl`	Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning. CoRR Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
2021	J	`jnl`	Font Completion and Manipulation by Cycling Between Multi-Modality Representations. CoRR Ye Yuan, Wuyang Chen, Zhaowen Wang, Matthew Fisher, Zhifei Zhang, Zhangyang Wang, Hailin Jin
2021	J	`jnl`	FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. CoRR Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021	A*	`conf`	GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. ICCV Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu
2021	J	`jnl`	GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. CoRR Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu
2021	J	`jnl`	Good Students Play Big Lottery Better. CoRR Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang
2021	A*	`conf`	Graph Contrastive Learning Automated. ICML Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang
2021	J	`jnl`	Graph Contrastive Learning Automated. CoRR Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang
2021	A*	`conf`	Hyperparameter Tuning is All You Need for LISTA. NeurIPS Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2021	J	`jnl`	Hyperparameter Tuning is All You Need for LISTA. CoRR Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2021	J	`jnl`	IA-RED CoRR Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva
2021	A*	`conf`	IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. NeurIPS Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva
2021	A*	`conf`	Improving Contrastive Learning on Imbalanced Data via Open-World Sampling. NeurIPS Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
2021	J	`jnl`	Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling. CoRR Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
2021	A*	`conf`	InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. DAC Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin
2021	J	`jnl`	InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. CoRR Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin
2021	A*	`conf`	Learning A Minimax Optimizer: A Pilot Study. ICLR Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang
2021	A*	`conf`	Learning Model-Based Privacy Protection under Budget Constraints. AAAI Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
2021	J	`jnl`	Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors. CoRR Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj
2021	J	`jnl`	Learning to Optimize: A Primer and A Benchmark. CoRR Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2021	A*	`conf`	Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning. ICLR Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang
2021	A*	`conf`	Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective. ICLR Wuyang Chen, Xinyu Gong, Zhangyang Wang
2021	J	`jnl`	Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective. CoRR Wuyang Chen, Xinyu Gong, Zhangyang Wang
2021	J	`jnl`	On Dynamic Noise Influence in Differentially Private Learning. CoRR Junyuan Hong, Zhangyang Wang, Jiayu Zhou
2021	J	`jnl`	Practical Machine Learning Safety: A Survey and Primer. CoRR Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa
2021	J	`jnl`	Report on UG2+ challenge Track 1: Assessing algorithms to improve video object detection and classification from unconstrained mobility platforms. Comput. Vis. Image Underst. Sreya Banerjee, Rosaura G. VidalMata, Zhangyang Wang, Walter J. Scheirer
2021	A*	`conf`	Robust Overfitting may be mitigated by properly learned smoothening. ICLR Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang
2021	J	`jnl`	SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization. CoRR Aaditya Singh, Shreeshail Hingane, Xinyu Gong, Zhangyang Wang
2021	A	`conf`	SAFIN: Arbitrary Style Transfer with Self-Attentive Factorized Instance Normalization. ICME Aaditya Singh, Shreeshail Hingane, Xinyu Gong, Zhangyang Wang
2021	A*	`conf`	SSH: A Self-Supervised Framework for Image Harmonization. ICCV Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang
2021	J	`jnl`	SSH: A Self-Supervised Framework for Image Harmonization. CoRR Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang
2021	J	`jnl`	Sandwich Batch Normalization. CoRR Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang
2021	A*	`conf`	Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
2021	J	`jnl`	Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? CoRR Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
2021	J	`jnl`	Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks. CoRR Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2021	A*	`conf`	Searching for Two-Stream Models in Multivariate Space for Video Recognition. ICCV Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan
2021	J	`jnl`	Searching for Two-Stream Models in Multivariate Space for Video Recognition. CoRR Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan
2021	A*	`conf`	Self-Damaging Contrastive Learning. ICML Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang
2021	J	`jnl`	Self-Damaging Contrastive Learning. CoRR Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
2021	J	`jnl`	Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs. CoRR Abduallah A. Mohamed, Huancheng Chen, Zhangyang Wang, Christian G. Claudel
2021	J	`jnl`	SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. CoRR Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang
2021	—	`conf`	Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. BHI Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi
2021	A*	`conf`	Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. NeurIPS Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021	J	`jnl`	Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. CoRR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021	A*	`conf`	Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm. ICML Mingkang Zhu, Tianlong Chen, Zhangyang Wang
2021	J	`jnl`	Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm. CoRR Mingkang Zhu, Tianlong Chen, Zhangyang Wang
2021	A*	`conf`	Stronger NAS with Weaker Predictors. NeurIPS Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan
2021	—	`conf`	The 2020 Low-Power Computer Vision Challenge. AICAS Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan
2021	A*	`conf`	The Elastic Lottery Ticket Hypothesis. NeurIPS Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
2021	J	`jnl`	The Elastic Lottery Ticket Hypothesis. CoRR Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang
2021	A*	`conf`	The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models. CVPR Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang
2021	J	`jnl`	Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis. CoRR Mu Yang, Shaojin Ding, Tianlong Chen, Tong Wang, Zhangyang Wang
2021	A*	`conf`	TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up. NeurIPS Yifan Jiang, Shiyu Chang, Zhangyang Wang
2021	J	`jnl`	TransGAN: Two Transformers Can Make One Strong GAN. CoRR Yifan Jiang, Shiyu Chang, Zhangyang Wang
2021	A*	`conf`	Troubleshooting Blind Image Quality Models in the Wild. CVPR Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2021	J	`jnl`	Troubleshooting Blind Image Quality Models in the Wild. CoRR Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2021	A*	`conf`	UMEC: Unified model and embedding compression for efficient recommendation systems. ICLR Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu
2021	J	`jnl`	Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly. CoRR Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
2021	J	`jnl`	UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution. CoRR Xingqian Xu, Zhangyang Wang, Humphrey Shi
2021	J	`jnl`	Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics. CoRR Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang
2021	A*	`conf`	Undistillable: Making A Nasty Teacher That CANNOT teach students. ICLR Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang
2021	J	`jnl`	Undistillable: Making A Nasty Teacher That CANNOT teach students. CoRR Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang
2021	J	`jnl`	Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective. CoRR William T. Redman, Tianlong Chen, Akshunna S. Dogra, Zhangyang Wang
2021	Misc	`conf`	VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. ICASSP Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2021	J	`jnl`	Weak NAS Predictors Are All You Need. CoRR Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan
2021	A*	`conf`	You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. NeurIPS Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang
2021	J	`jnl`	You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. CoRR Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang
2020	J	`jnl`	Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans. Image Process. Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin
2020	A*	`conf`	Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CVPR Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang
2020	J	`jnl`	Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CoRR Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang
2020	J	`jnl`	An adversarial learning framework for preserving users' anonymity in face-based emotion recognition. CoRR Vansh Narula, Zhangyang Wang, Theodora Chaspari
2020	A*	`conf`	AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. ICML Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
2020	J	`jnl`	AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. CoRR Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
2020	J	`jnl`	AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation. CoRR Xinyu Gong, Wuyang Chen, Yifan Jiang, Ye Yuan, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
2020	A	`conf`	AutoSpeech: Neural Architecture Search for Speaker Recognition. INTERSPEECH Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang
2020	J	`jnl`	AutoSpeech: Neural Architecture Search for Speaker Recognition. CoRR Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang
2020	A*	`conf`	Automated Synthetic-to-Real Generalization. ICML Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar
2020	J	`jnl`	Automated Synthetic-to-Real Generalization. CoRR Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar
2020	A	`conf`	Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification. WACV Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua
2020	J	`jnl`	Can 3D Adversarial Logos Cloak Humans? CoRR Tianlong Chen, Yi Wang, Jingyang Zhou, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang
2020	J	`jnl`	Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. IEEE Trans. Image Process. Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang
2020	A	`conf`	DAVID: Dual-Attentional Video Deblurring. WACV Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang
2020	—	`conf`	Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches. ECCV (15) Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo
2020	J	`jnl`	Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches. CoRR Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo
2020	A*	`conf`	Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. ICLR Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference. IEEE J. Sel. Top. Signal Process. Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin
2020	A*	`conf`	Eliminating the Invariance on the Loss Landscape of Linear Autoencoders. ICML Reza Oftadeh, Jiayi Shen, Zhangyang Wang, Dylan A. Shell
2020	A*	`conf`	FasterSeg: Searching for Faster Real-time Semantic Segmentation. ICLR Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
2020	—	`conf`	Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification. CVPR Workshops Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang
2020	J	`jnl`	Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification. CoRR Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang
2020	A*	`conf`	FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. NeurIPS Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. CoRR Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin
2020	A*	`conf`	Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. AAAI Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. CoRR Jianghao Shen, Yonggan Fu, Yue Wang, Pengfei Xu, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding. IEEE Trans. Circuits Syst. Video Technol. Dong Liu, Ke Sun, Zhangyang Wang, Runsheng Liu, Zheng-Jun Zha
2020	J	`jnl`	GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework. CoRR Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang
2020	—	`conf`	GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework. ECCV (4) Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang
2020	B	`conf`	GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data. ICPR Ameer Hamza Shakur, Xiaoning Qian, Zhangyang Wang, Bobak Mortazavi, Shuai Huang
2020	A*	`conf`	Graph Contrastive Learning with Augmentations. NeurIPS Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
2020	J	`jnl`	Graph Contrastive Learning with Augmentations. CoRR Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
2020	J	`jnl`	Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity. CoRR Jianghao Shen, Sicheng Wang, Zhangyang Wang
2020	—	`conf`	HALO: Hardware-Aware Learning to Optimize. ECCV (9) Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin
2020	A*	`conf`	I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. ICLR Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2020	J	`jnl`	I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. CoRR Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
2020	—	`conf`	In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation. CVPR Workshops Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang
2020	A*	`conf`	L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. CVPR Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2020	J	`jnl`	L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. CoRR Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2020	J	`jnl`	Learning Simple Thresholded Features With Sparse Support Recovery. IEEE Trans. Circuits Syst. Video Technol. Hongyu Xu, Zhangyang Wang, Haichuan Yang, Ding Liu, Ji Liu
2020	A*	`conf`	MATE: Plugging in Model Awareness to Task Embedding for Meta Learning. NeurIPS Xiaohan Chen, Zhangyang Wang, Siyu Tang, Krikamol Muandet
2020	A*	`conf`	MM-Hand: 3D-Aware Multi-Modal Guided Hand Generation for 3D Hand Pose Synthesis. ACM Multimedia Zhenyu Wu, Duc Hoang, Shih-Yao Lin, Yusheng Xie, Liangjian Chen, Yen-Yu Lin, Zhangyang Wang, Wei Fan
2020	J	`jnl`	MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis. CoRR Zhenyu Wu, Duc Hoang, Shih-Yao Lin, Yusheng Xie, Liangjian Chen, Yen-Yu Lin, Zhangyang Wang, Wei Fan
2020	A*	`conf`	NADS: Neural Architecture Distribution Search for Uncertainty Awareness. ICML Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian
2020	J	`jnl`	NADS: Neural Architecture Distribution Search for Uncertainty Awareness. CoRR Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian
2020	A*	`conf`	Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. NeurIPS Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang
2020	J	`jnl`	Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. CoRR Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang
2020	J	`jnl`	PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning. CoRR Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang
2020	A*	`conf`	Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. CVPR Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker
2020	—	`conf`	Practical Solutions for Machine Learning Safety in Autonomous Vehicles. SafeAI@AAAI Sina Mohseni, Mandar Pitale, Vasu Singh, Zhangyang Wang
2020	A*	`conf`	Robust Pre-Training by Adversarial Contrastive Learning. NeurIPS Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
2020	J	`jnl`	Robust Pre-Training by Adversarial Contrastive Learning. CoRR Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
2020	J	`jnl`	Safeguarded Learned Convex Optimization. CoRR Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2020	A*	`conf`	Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. ICML Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang
2020	J	`jnl`	Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. CoRR Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang
2020	A*	`conf`	Self-Supervised Learning for Generalizable Out-of-Distribution Detection. AAAI Sina Mohseni, Mandar Pitale, J. B. S. Yadawa, Zhangyang Wang
2020	A*	`conf`	ShiftAddNet: A Hardware-Inspired Deep Network. NeurIPS Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	ShiftAddNet: A Hardware-Inspired Deep Network. CoRR Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin
2020	A*	`conf`	SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. ISCA Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin
2020	J	`jnl`	SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. CoRR Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin
2020	A*	`conf`	The Lottery Ticket Hypothesis for Pre-trained BERT Networks. NeurIPS Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin
2020	J	`jnl`	The Lottery Ticket Hypothesis for Pre-trained BERT Networks. CoRR Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin
2020	J	`jnl`	The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models. CoRR Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang
2020	A*	`conf`	Training Stronger Baselines for Learning to Optimize. NeurIPS Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang
2020	J	`jnl`	Training Stronger Baselines for Learning to Optimize. CoRR Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang
2020	A*	`conf`	Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. ICLR Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang
2020	J	`jnl`	Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. CoRR Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang
2020	A	`conf`	Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. AISTATS Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
2020	J	`jnl`	Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. CoRR Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
2020	J	`jnl`	Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing. CoRR Junru Wu, Xiang Yu, Buyu Liu, Zhangyang Wang, Manmohan Chandraker
2020	J	`jnl`	VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms. CoRR Ting-Kuei Hu, Fernando Gama, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2020	—	`conf`	What Does CNN Shift Invariance Look Like? A Visualization Study. ECCV Workshops (5) Jake Lee, Junfeng Yang, Zhangyang Wang
2020	J	`jnl`	What Does CNN Shift Invariance Look Like? A Visualization Study. CoRR Jake Lee, Junfeng Yang, Zhangyang Wang
2020	A*	`conf`	When Does Self-Supervision Help Graph Convolutional Networks? ICML Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2020	J	`jnl`	When Does Self-Supervision Help Graph Convolutional Networks? CoRR Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2019	—	`conf`	A Novel Framework for 3D-2D Vertebra Matching. MIPR Hanchao Yu, Yang Fu, Haichao Yu, Yunchao Wei, Xinchao Wang, Jianbo Jiao, Matthew Bramler, Thenkurussi Kesavadas, Honghui Shi, Zhangyang Wang, Bihan Wen, Thomas S. Huang
2019	A*	`conf`	ABD-Net: Attentive but Diverse Person Re-Identification. ICCV Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang
2019	J	`jnl`	ABD-Net: Attentive but Diverse Person Re-Identification. CoRR Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang
2019	—	`conf`	ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA. ICLR (Poster) Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2019	A	`conf`	Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. AISTATS Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian
2019	J	`jnl`	Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. CoRR Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian
2019	J	`jnl`	Adversarially Trained Model Compression: When Robustness Meets Efficiency. CoRR Shupeng Gui, Haotao Wang, Chen Yu, Haichuan Yang, Zhangyang Wang, Ji Liu
2019	J	`jnl`	All-In-One Underwater Image Enhancement using Domain-Adversarial Learning. CoRR Pritish Uplavikar, Zhenyu Wu, Zhangyang Wang
2019	—	`conf`	All-in-One Underwater Image Enhancement Using Domain-Adversarial Learning. CVPR Workshops Pritish M. Uplavikar, Zhenyu Wu, Zhangyang Wang
2019	J	`jnl`	ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands. CoRR Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang
2019	—	`conf`	ArcticNet: A Deep Learning Solution to Classify the Arctic Area. CVPR Workshops Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang
2019	A*	`conf`	AutoGAN: Neural Architecture Search for Generative Adversarial Networks. ICCV Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang
2019	J	`jnl`	AutoGAN: Neural Architecture Search for Generative Adversarial Networks. CoRR Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang
2019	J	`jnl`	Benchmarking Single-Image Dehazing and Beyond. IEEE Trans. Image Process. Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, Zhangyang Wang
2019	J	`jnl`	Bridging the Gap Between Computational Photography and Visual Recognition. CoRR Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster, Michael Albright, Pedro Davalos, Scott McCloskey, Ben Miller, Asong Tambo, Sushobhan Ghosh, Sudarshan Nagesh, Ye Yuan, Yueyu Hu, Junru Wu, Wenhan Yang, Xiaoshuai Zhang, Jiaying Liu, Zhangyang Wang, Hwann-Tzong Chen, Tzu-Wei Huang, Wen-Chi Chin, Yi-Chun Li, Mahmoud Lababidi, Charles Otto, Walter J. Scheirer
2019	J	`jnl`	Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification. CoRR Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua
2019	A*	`conf`	Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. CVPR Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian
2019	J	`jnl`	Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. CoRR Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian
2019	—	`conf`	Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation. MICCAI (6) Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Zhangyang Wang, Jim Xiuquan Ji, Xiaoning Qian, Steve B. Jiang
2019	A*	`conf`	Controllable Artistic Text Style Transfer via Shape-Matching GAN. ICCV Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu, Zongming Guo
2019	J	`jnl`	Controllable Artistic Text Style Transfer via Shape-Matching GAN. CoRR Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu, Zongming Guo
2019	J	`jnl`	Convolutional Sparse Coding for Compressed Sensing CT Reconstruction. CoRR Peng Bao, Wenjun Xia, Kang Yang, Weiyan Chen, Mianyi Chen, Yan Xi, Shanzhou Niu, Jiliu Zhou, He Zhang, Huaiqiang Sun, Zhangyang Wang, Yi Zhang
2019	J	`jnl`	Convolutional Sparse Coding for Compressed Sensing CT Reconstruction. IEEE Trans. Medical Imaging Peng Bao, Huaiqiang Sun, Zhangyang Wang, Yi Zhang, Wenjun Xia, Kang Yang, Weiyan Chen, Mianyi Chen, Yan Xi, Shanzhou Niu, Jiliu Zhou, He Zhang
2019	—	`conf`	Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-Directional Text-Image Matching. ICCV Workshops Xiaojing Yu, Tianlong Chen, Yang Yang, Michael Mugo, Zhangyang Wang
2019	Misc	`conf`	DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. ICASSP Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling
2019	J	`jnl`	DAVID: Dual-Attentional Video Deblurring. CoRR Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang
2019	A*	`conf`	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better. ICCV Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
2019	J	`jnl`	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better. CoRR Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
2019	J	`jnl`	DeepAffinity: interpretable deep learning of compound-protein affinity through unified recurrent and convolutional neural networks. Bioinform. Mostafa Karimi, Di Wu, Zhangyang Wang, Yang Shen
2019	A*	`conf`	Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. ICCV Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang
2019	J	`jnl`	Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. CoRR Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang
2019	J	`jnl`	Drawing early-bird tickets: Towards more efficient training of deep networks. CoRR Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk
2019	J	`jnl`	Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference. CoRR Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan M. Nguyen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin
2019	J	`jnl`	E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving. CoRR Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang
2019	A*	`conf`	E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings. NeurIPS Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang
2019	J	`jnl`	Enhance Visual Recognition Under Adverse Conditions via Deep Networks. IEEE Trans. Image Process. Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, Thomas S. Huang
2019	J	`jnl`	EnlightenGAN: Deep Light Enhancement without Paired Supervision. CoRR Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
2019	J	`jnl`	Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts. CoRR Mostafa Karimi, Di Wu, Zhangyang Wang, Yang Shen
2019	J	`jnl`	FasterSeg: Searching for Faster Real-time Semantic Segmentation. CoRR Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
2019	J	`jnl`	Hyperspectral Image Classification Using Similarity Measurements-Based Deep Recurrent Neural Networks. Remote. Sens. Andong Ma, Anthony M. Filippi, Zhangyang Wang, Zhengcong Yin
2019	J	`jnl`	In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation. CoRR Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang
2019	A*	`conf`	Learning to Optimize in Swarms. NeurIPS Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen
2019	J	`jnl`	Learning to Optimize in Swarms. CoRR Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen
2019	A*	`conf`	Model Compression with Adversarial Robustness: A Unified Optimization Framework. NeurIPS Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu
2019	A*	`conf`	Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. ICML Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2019	J	`jnl`	Plug-and-Play Methods Provably Converge with Properly Trained Denoisers. CoRR Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2019	J	`jnl`	Practical Solutions for Machine Learning Safety in Autonomous Vehicles. CoRR Sina Mohseni, Mandar Pitale, Vasu Singh, Zhangyang Wang
2019	J	`jnl`	Predicting Model Failure using Saliency Maps in Autonomous Driving Systems. CoRR Sina Mohseni, Akshay Jagadeesh, Zhangyang Wang
2019	J	`jnl`	Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset. CoRR Haotao Wang, Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, Hailin Jin
2019	J	`jnl`	Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms. CoRR Sreya Banerjee, Rosaura G. VidalMata, Zhangyang Wang, Walter J. Scheirer
2019	J	`jnl`	Segmentation-Aware Image Denoising without Knowing True Segmentation. CoRR Sicheng Wang, Bihan Wen, Junru Wu, Dacheng Tao, Zhangyang Wang
2019	—	`conf`	Self-Reproducing Video Frame Interpolation. MIPR Jiajun Deng, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang
2019	A*	`conf`	Single Image Deraining: A Comprehensive Benchmark Analysis. CVPR Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Marcondes Cesar Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao
2019	J	`jnl`	Single Image Deraining: A Comprehensive Benchmark Analysis. CoRR Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Marcondes Cesar Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao
2019	J	`jnl`	UG CoRR Ye Yuan, Wenhan Yang, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang
2018	J	`jnl`	Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? CoRR Nitin Bansal, Xiaohan Chen, Zhangyang Wang
2018	A*	`conf`	Can We Gain More from Orthogonality Regularizations in Training Deep Networks? NeurIPS Nitin Bansal, Xiaohan Chen, Zhangyang Wang
2018	J	`jnl`	Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. CoRR Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang
2018	J	`jnl`	DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. CoRR Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling
2018	A*	`conf`	Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. ICML Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin
2018	J	`jnl`	Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. CoRR Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin
2018	J	`jnl`	DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks. CoRR Mostafa Karimi, Di Wu, Zhangyang Wang, Yang Shen
2018	A*	`conf`	End-to-End United Video Dehazing and Detection. AAAI Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng
2018	—	`conf`	Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity. ICDM Workshops Jianghao Shen, Sicheng Wang, Zhangyang Wang
2018	J	`jnl`	Improved Techniques for Learning to Dehaze and Beyond: A Collective Study. CoRR Yu Liu, Guanlong Zhao, Boyuan Gong, Yang Li, Ritu Raj, Niraj Goel, Satya Kesav, Sandeep Gottimukkala, Zhangyang Wang, Wenqi Ren, Dacheng Tao
2018	J	`jnl`	L CoRR Ke Sun, Zhangyang Wang, Dong Liu, Runsheng Liu
2018	J	`jnl`	Learning Simple Thresholded Features with Sparse Support Recovery. CoRR Zhangyang Wang, Hongyu Xu, Haichuan Yang, Ding Liu, Ji Liu
2018	J	`jnl`	Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach. IEEE Trans. Image Process. Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Xinchao Wang, Thomas S. Huang
2018	A*	`conf`	MusicMapp: A Deep Learning Based Solution for Music Exploration and Visual Interaction. ACM Multimedia Mohammed Habibullah Baig, Jibin Rajan Varghese, Zhangyang Wang
2018	A*	`conf`	Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. AAAI Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang
2018	A*	`conf`	Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. KDD Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou
2018	J	`jnl`	Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. CoRR Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou
2018	A*	`conf`	Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds. NeurIPS Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2018	J	`jnl`	Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds. CoRR Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2018	—	`conf`	Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study. ECCV (16) Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, Hailin Jin
2018	J	`jnl`	Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study. CoRR Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, Hailin Jin
2018	J	`jnl`	U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting. CoRR Ramakrishna Prabhu, Xiaojing Yu, Zhangyang Wang, Ding Liu, Anxiao Jiang
2018	—	`conf`	VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (5) Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song
2018	A*	`conf`	Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training. AAAI Bowen Cheng, Ding Liu, Zhangyang Wang, Haichao Zhang, Thomas S. Huang
2018	A*	`conf`	When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. IJCAI Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang
2017	A*	`conf`	AOD-Net: All-in-One Dehazing Network. ICCV Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng
2017	J	`jnl`	An All-in-One Network for Dehazing and Beyond. CoRR Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng
2017	—	`conf`	Balanced Two-Stage Residual Networks for Image Super-Resolution. CVPR Workshops Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang
2017	J	`jnl`	Biomedical informatics with optimization and machine learning. EURASIP J. Bioinform. Syst. Biol. Thomas S. Huang, Jiayu Zhou, Zhangyang Wang, Qing Ling, Yang Shen
2017	B	`conf`	Computed tomography super-resolution using convolutional neural networks. ICIP Haichao Yu, Ding Liu, Honghui Shi, Hanchao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramler, Thomas S. Huang
2017	A*	`conf`	Doubly Sparsifying Network. IJCAI Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang
2017	J	`jnl`	End-to-End United Video Dehazing and Detection. CoRR Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, Dan Feng
2017	J	`jnl`	Enhance Visual Recognition under Adverse Conditions via Deep Networks. CoRR Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, Thomas S. Huang
2017	J	`jnl`	Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects. IEEE Trans. Image Process. Xinchao Wang, Bin Fan, Shiyu Chang, Zhangyang Wang, Xianming Liu, Dacheng Tao, Thomas S. Huang
2017	B	`conf`	Image aesthetics assessment using Deep Chatterjee's machine. IJCNN Zhangyang Wang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane M. Beck, Thomas S. Huang
2017	—	`conf`	NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo
2017	J	`jnl`	Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. CoRR Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang
2017	J	`jnl`	RESIDE: A Benchmark for Single Image Dehazing. CoRR Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, Zhangyang Wang
2017	J	`jnl`	Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach. CoRR Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang
2017	A*	`conf`	Robust Video Super-Resolution with Learned Temporal Dynamics. ICCV Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas S. Huang
2017	B	`conf`	Robust emotion recognition from low quality and low bit rate video: A deep learning approach. ACII Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang
2017	A	`conf`	Transformed Anti-Sparse Hashing. BMVC Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang
2016	J	`jnl`	$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CoRR Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Thomas S. Huang
2016	J	`jnl`	Brain-Inspired Deep Networks for Image Aesthetics Assessment. CoRR Zhangyang Wang, Florin Dolcos, Diane M. Beck, Shiyu Chang, Thomas S. Huang
2016	A*	`conf`	D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CVPR Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang
2016	J	`jnl`	Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters. CoRR Zhangyang Wang, Liang Zhang, Yingzhen Yang, Jiayu Zhou, Georgios B. Giannakis, Thomas S. Huang
2016	A*	`conf`	Epitomic Image Super-Resolution. AAAI Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang
2016	A*	`conf`	Learning A Deep ℓ IJCAI Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang
2016	J	`jnl`	Learning A Deep ℓ CoRR Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang
2016	A	`conf`	Learning A Task-Specific Deep Architecture For Clustering. SDM Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Meng Wang, Thomas S. Huang
2016	A*	`conf`	Learning Deep ℓ AAAI Zhangyang Wang, Qing Ling, Thomas S. Huang
2016	A*	`conf`	Studying Very Low Resolution Recognition Using Deep Networks. CVPR Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang
2016	J	`jnl`	Studying Very Low Resolution Recognition Using Deep Networks. CoRR Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang
2016	—	`—`	Task-specific and interpretable feature learning Zhangyang Wang
2016	A*	`conf`	UnitBox: An Advanced Object Detection Network. ACM Multimedia Jiahui Yu, Yuning Jiang, Zhangyang Wang, Zhimin Cao, Thomas S. Huang
2016	J	`jnl`	UnitBox: An Advanced Object Detection Network. CoRR Jiahui Yu, Yuning Jiang, Zhangyang Wang, Zhimin Cao, Thomas S. Huang
2015	A*	`conf`	A Joint Optimization Framework of Sparse Coding and Discriminative Clustering. IJCAI Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang
2015	J	`jnl`	Decentralized Recommender Systems. CoRR Zhangyang Wang, Xianming Liu, Shiyu Chang, Jiayu Zhou, Guo-Jun Qi, Thomas S. Huang
2015	A*	`conf`	DeepFont: A System for Font Recognition and Similarity. ACM Multimedia Zhangyang Wang, Jianchao Yang, Hailin Jin, Jonathan Brandt, Eli Shechtman, Aseem Agarwala, Zhaowen Wang, Yuyan Song, Joseph Hsieh, Sarah Kong, Thomas S. Huang
2015	A*	`conf`	DeepFont: Identify Your Font from An Image. ACM Multimedia Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang
2015	J	`jnl`	DeepFont: Identify Your Font from An Image. CoRR Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang
2015	J	`jnl`	Designing A Composite Dictionary Adaptively From Joint Examples. CoRR Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang
2015	C	`conf`	Designing a composite dictionary adaptively from joint examples. VCIP Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang
2015	J	`jnl`	Learning A Task-Specific Deep Architecture For Clustering. CoRR Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Thomas S. Huang
2015	J	`jnl`	Learning Deep ℓ CoRR Zhangyang Wang, Qing Ling, Thomas S. Huang
2015	J	`jnl`	Learning Super-Resolution Jointly From External and Internal Examples. IEEE Trans. Image Process. Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang
2015	J	`jnl`	Learning Super-Resolution Jointly from External and Internal Examples. CoRR Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang
2015	—	`conf`	Real-World Font Recognition Using Deep Network and Domain Adaptation. ICLR (Workshop) Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang
2015	J	`jnl`	Self-Tuned Deep Super Resolution. CoRR Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang
2015	—	`conf`	Self-tuned deep super resolution. CVPR Workshops Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang
2015	J	`jnl`	Semisupervised Hyperspectral Classification Using Task-Driven Dictionary Learning With Laplacian Regularization. IEEE Trans. Geosci. Remote. Sens. Zhangyang Wang, Nasser M. Nasrabadi, Thomas S. Huang
2015	—	`book`	Sparse Coding and its Applications in Computer Vision Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Yingzhen Yang, Ding Liu, Thomas S. Huang
2014	A	`conf`	A joint perspective towards image super-resolution: Unifying external- and self-examples. WACV Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang
2014	—	`conf`	Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP. CVPR Workshops Zhaowen Wang, Zhangyang Wang, Mark Moll, Po-Sen Huang, Devin K. Grady, Nasser M. Nasrabadi, Thomas S. Huang, Lydia E. Kavraki, Mark Hasegawa-Johnson
2014	A*	`conf`	Data Clustering by Laplacian Regularized L1-Graph. AAAI Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang
2014	—	`conf`	On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification. NIPS Yingzhen Yang, Feng Liang, Shuicheng Yan, Zhangyang Wang, Thomas S. Huang
2014	A	`conf`	Regularized l1-Graph for Data Clustering. BMVC Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiawei Han, Thomas S. Huang
2013	J	`jnl`	Detection of Blotch and Scratch in Video Based on Video Decomposition. IEEE Trans. Circuits Syst. Video Technol. Houqiang Li, Zhenbo Lu, Zhangyang Wang, Qing Ling, Weiping Li
2013	J	`jnl`	Multi-Level Video Frame Interpolation: Exploiting the Interaction Among Different Levels. IEEE Trans. Circuits Syst. Video Technol. Zhefei Yu, Houqiang Li, Zhangyang Wang, Zeng Hu, Chang Wen Chen
2013	J	`jnl`	Robust Temporal-Spatial Decomposition and Its Applications in Video Processing. IEEE Trans. Circuits Syst. Video Technol. Zhangyang Wang, Houqiang Li, Qing Ling, Weiping Li
2012	C	`conf`	Mixed Gaussian-impulse video noise removal via temporal-spatial decomposition. ISCAS Zhangyang Wang, Houqiang Li, Qing Ling, Weiping Li
2012	B	`conf`	Video error concealment via total variation regularized matrix completion. ICIP Zhefei Yu, Zhangyang Wang, Zeng Hu, Houqiang Li, Qing Ling
2012	B	`conf`	Video frame interpolation using 3-D total variation regularized completion. ICIP Zhefei Yu, Zhangyang Wang, Zeng Hu, Qing Ling, Houqiang Li