Shiyu Chang - RankMe

276 papers A* 78A 11B 3C 1Misc 3Journal 143Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Reinforcement Learning Framework for Robust and Secure LLM Watermarking. EACL (Volume 1: Long Papers) Li An, Yujian Liu, Yepeng Liu, Yuheng Bu, Yang Zhang, Shiyu Chang
2026	J	`jnl`	Ares: Adaptive Reasoning Effort Selection for Efficient LLM Agents. CoRR Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang
2026	J	`jnl`	Chimera: Latency- and Performance-Aware Multi-agent Serving for Heterogeneous LLMs. CoRR Kangqi Ni, Wenyue Hua, Xiaoxiang Shi, Jiang Guo, Shiyu Chang, Tianlong Chen
2026	J	`jnl`	Learning from Online Videos at Inference Time for Computer-Use Agents. Trans. Mach. Learn. Res. Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang
2026	J	`jnl`	RetouchIQ: MLLM Agents for Instruction-Based Image Retouching with Generalist Reward. CoRR Qiucheng Wu, Jing Shi, Simon Jenni, Kushal Kafle, Tianyu Wang, Shiyu Chang, Handong Zhao
2026	J	`jnl`	ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning. Trans. Mach. Learn. Res. Bairu Hou, Yang Zhang, Jiabao Ji, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang
2025	J	`jnl`	A Hierarchical Probabilistic Framework for Incremental Knowledge Tracing in Classroom Settings. CoRR Xinyi Gao, Qiucheng Wu, Yang Zhang, Xuechen Liu, Kaizhi Qian, Ying Xu, Shiyu Chang
2025	—	`conf`	A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation. NAACL (Long Papers) Bairu Hou, Yang Zhang, Jacob Andreas, Shiyu Chang
2025	J	`jnl`	A Reinforcement Learning Framework for Robust and Secure LLM Watermarking. CoRR Li An, Yujian Liu, Yepeng Liu, Yuheng Bu, Yang Zhang, Shiyu Chang
2025	—	`conf`	Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. EMNLP (Findings) Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang
2025	J	`jnl`	Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners. CoRR Jiabao Ji, Yongchao Chen, Yang Zhang, Ramana Rao Kompella, Chuchu Fan, Gaowen Liu, Shiyu Chang
2025	J	`jnl`	DEEPAMBIGQA: Ambiguous Multi-hop Questions for Benchmarking LLM Answer Completeness. CoRR Jiabao Ji, Min Li, Priyanshu Kumar, Shiyu Chang, Saloni Potdar
2025	J	`jnl`	Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning. CoRR Li An, Yujian Liu, Yepeng Liu, Yang Zhang, Yuheng Bu, Shiyu Chang
2025	—	`conf`	Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. IJCNLP-AACL (Short Papers) Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang
2025	A*	`conf`	Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning. ICLR Yujian Liu, Shiyu Chang, Tommi S. Jaakkola, Yang Zhang
2025	J	`jnl`	HarnessLLM: Automatic Testing Harness Generation via Reinforcement Learning. CoRR Yujian Liu, Jiabao Ji, Yang Zhang, Wenbo Guo, Tommi S. Jaakkola, Shiyu Chang
2025	A*	`conf`	Instruction-Following Pruning for Large Language Models. ICML Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei
2025	J	`jnl`	Instruction-Following Pruning for Large Language Models. CoRR Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei
2025	J	`jnl`	KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse. CoRR Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang
2025	J	`jnl`	Learning from Online Videos at Inference Time for Computer-Use Agents. CoRR Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang
2025	J	`jnl`	Rethinking the Text-Vision Reasoning Imbalance in MLLMs through the Lens of Training Recipes. CoRR Guanyu Yao, Qiucheng Wu, Yang Zhang, Zhaowen Wang, Handong Zhao, Shiyu Chang
2025	J	`jnl`	ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning. CoRR Bairu Hou, Yang Zhang, Jiabao Ji, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang
2025	J	`jnl`	VividCam: Learning Unconventional Camera Motions from Virtual Synthetic Videos. CoRR Qiucheng Wu, Handong Zhao, Zhixin Shu, Jing Shi, Yang Zhang, Shiyu Chang
2025	J	`jnl`	WebDART: Dynamic Decomposition and Re-planning for Complex Web Tasks. CoRR Jingbo Yang, Bairu Hou, Wei Wei, Shiyu Chang, Yujia Bao
2024	J	`jnl`	A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation. CoRR Bairu Hou, Yang Zhang, Jacob Andreas, Shiyu Chang
2024	J	`jnl`	A Survey on Data Selection for Language Models. CoRR Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
2024	J	`jnl`	A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
2024	—	`conf`	Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. NAACL (Short Papers) Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang
2024	J	`jnl`	Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. CoRR Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang
2024	J	`jnl`	Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. CoRR Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang
2024	A*	`conf`	Correcting Diffusion Generation Through Resampling. CVPR Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang
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	A*	`conf`	Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. ICML Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang
2024	J	`jnl`	Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. CoRR Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang
2024	J	`jnl`	Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning. CoRR Yujian Liu, Shiyu Chang, Tommi S. Jaakkola, Yang Zhang
2024	A*	`conf`	GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts. NeurIPS Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li
2024	—	`conf`	Impact of In-Pixel Processing Circuit Non-idealities on Multi-object Tracking Accuracy for Autonomous Driving. MWSCAS Janak Sharda, Qiucheng Wu, Shiyu Chang, Shimeng Yu
2024	J	`jnl`	Improving Diffusion Models for Scene Text Editing with Dual Encoders. Trans. Mach. Learn. Res. Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian L. Price, Shiyu Chang
2024	A*	`conf`	Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. NeurIPS Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Kompella, Sijia Liu, Shiyu Chang
2024	J	`jnl`	Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. CoRR Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang
2024	A*	`conf`	Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective. EMNLP Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang
2024	J	`jnl`	Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective. CoRR Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang
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	A*	`conf`	Speech Self-Supervised Learning Using Diffusion Model Synthetic Data. ICML Heting Gao, Kaizhi Qian, Junrui Ni, Chuang Gan, Mark A. Hasegawa-Johnson, Shiyu Chang, Yang Zhang
2024	J	`jnl`	VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs. CoRR Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang
2023	C	`conf`	Audio-Visual Neural Syntax Acquisition. ASRU Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass
2023	J	`jnl`	Audio-Visual Neural Syntax Acquisition. CoRR Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass
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`	Certified Robustness for Large Language Models with Self-Denoising. CoRR Zhen Zhang, Guanhua Zhang, Bairu Hou, Wenqi Fan, Qing Li, Sijia Liu, Yang Zhang, Shiyu Chang
2023	A	`conf`	ClawSAT: Towards Both Robust and Accurate Code Models. SANER Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly
2023	J	`jnl`	Correcting Diffusion Generation through Resampling. CoRR Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang
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	J	`jnl`	Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. CoRR Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang
2023	J	`jnl`	GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts. CoRR Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li
2023	A*	`conf`	Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. ICCV Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang
2023	J	`jnl`	Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. CoRR Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang
2023	J	`jnl`	Improving Diffusion Models for Scene Text Editing with Dual Encoders. CoRR Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian L. Price, Shiyu Chang
2023	A*	`conf`	PromptBoosting: Black-Box Text Classification with Ten Forward Passes. ICML Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang
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`	Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning. NeurIPS Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
2023	J	`jnl`	Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning. CoRR Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
2023	J	`jnl`	Temporal Frame Filtering for Autonomous Driving Using 3D-Stacked Global Shutter CIS With IWO Buffer Memory and Near-Pixel Compute. IEEE Trans. Circuits Syst. I Regul. Pap. Janak Sharda, Wantong Li, Qiucheng Wu, Shiyu Chang, Shimeng Yu
2023	A*	`conf`	TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. ICLR Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang
2023	A*	`conf`	Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. ICML Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang
2023	J	`jnl`	Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. CoRR Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang
2023	A*	`conf`	Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CVPR Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
2023	J	`jnl`	Users are the North Star for AI Transparency. CoRR Alex Mei, Michael Saxon, Shiyu Chang, Zachary C. Lipton, William Yang Wang
2022	A*	`conf`	Adversarial Support Alignment. ICLR Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
2022	J	`jnl`	Adversarial Support Alignment. CoRR Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
2022	A*	`conf`	An Adversarial Framework for Generating Unseen Images by Activation Maximization. AAAI Yang Zhang, Wang Zhou, Gaoyuan Zhang, David D. Cox, Shiyu Chang
2022	J	`jnl`	CLAWSAT: Towards Both Robust and Accurate Code Models. CoRR Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly
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	A*	`conf`	ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers. ICML Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang
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	—	`conf`	DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. NAACL-HLT Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-wen Li, Scott Yih, Yoon Kim, James R. Glass
2022	J	`jnl`	DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. CoRR Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-wen Li, Wen-tau Yih, Yoon Kim, James R. Glass
2022	J	`jnl`	Domain Generalization for Language-Independent Automatic Speech Recognition. Frontiers Artif. Intell. Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson
2022	A*	`conf`	Fairness Reprogramming. NeurIPS Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
2022	J	`jnl`	Fairness Reprogramming. CoRR Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
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	A*	`conf`	How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. ICLR Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu
2022	J	`jnl`	How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. CoRR Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu
2022	J	`jnl`	Improving Self-Supervised Speech Representations by Disentangling Speakers. CoRR Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang
2022	B	`conf`	Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection. COLING Minqian Liu, Shiyu Chang, Lifu Huang
2022	J	`jnl`	Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection. CoRR Minqian Liu, Shiyu Chang, Lifu Huang
2022	A*	`conf`	Learning Stable Classifiers by Transferring Unstable Features. ICML Yujia Bao, Shiyu Chang, Regina Barzilay
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	Misc	`conf`	On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. ICASSP Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David D. Cox, James R. Glass
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	J	`jnl`	PromptBoosting: Black-Box Text Classification with Ten Forward Passes. CoRR Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang
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	—	`conf`	Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. ACL (Findings) Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang
2022	A*	`conf`	Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. ICML Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu
2022	—	`conf`	Temporal Frame Filtering with Near-Pixel Compute for Autonomous Driving. AICAS Wantong Li, Qiucheng Wu, Janak Sharda, Shiyu Chang, Shimeng Yu
2022	J	`jnl`	TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. CoRR Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang
2022	J	`jnl`	Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CoRR Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
2022	A	`conf`	Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition. INTERSPEECH Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson
2022	J	`jnl`	Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition. CoRR Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson
2022	J	`jnl`	WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models. CoRR Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson
2022	A	`conf`	WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models. INTERSPEECH Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson
2021	A	`conf`	Complementary Evidence Identification in Open-Domain Question Answering. EACL Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su
2021	J	`jnl`	Complementary Evidence Identification in Open-Domain Question Answering. CoRR Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su
2021	Misc	`conf`	Continuous Cnn For Nonuniform Time Series. ICASSP Hui Shi, Yang Zhang, Hao Wu, Shiyu Chang, Kaizhi Qian, Mark Hasegawa-Johnson, Jishen Zhao
2021	A*	`conf`	Generating Adversarial Computer Programs using Optimized Obfuscations. ICLR Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly
2021	J	`jnl`	Generating Adversarial Computer Programs using Optimized Obfuscations. CoRR Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly
2021	A*	`conf`	Global Prosody Style Transfer Without Text Transcriptions. ICML Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson
2021	J	`jnl`	Global Rhythm Style Transfer Without Text Transcriptions. CoRR Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson
2021	J	`jnl`	Learning Stable Classifiers by Transferring Unstable Features. CoRR Yujia Bao, Shiyu Chang, Regina Barzilay
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	J	`jnl`	On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. CoRR Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David D. Cox, James R. Glass
2021	A*	`conf`	PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. NeurIPS Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David D. Cox, James R. Glass
2021	J	`jnl`	PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. CoRR Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David D. Cox, James R. Glass
2021	A*	`conf`	Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers. ICML Yujia Bao, Shiyu Chang, Regina Barzilay
2021	J	`jnl`	Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers. CoRR Yujia Bao, Shiyu Chang, Regina Barzilay
2021	J	`jnl`	Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. CoRR Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang
2021	J	`jnl`	Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. CoRR Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu
2021	A*	`conf`	Robust Overfitting may be mitigated by properly learned smoothening. ICLR Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang
2021	A*	`conf`	Self-Progressing Robust Training. AAAI Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das
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	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`	Understanding Interlocking Dynamics of Cooperative Rationalization. NeurIPS Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
2021	J	`jnl`	Understanding Interlocking Dynamics of Cooperative Rationalization. CoRR Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
2021	A	`conf`	Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding. Interspeech Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson
2021	—	`conf`	extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. Canadian AI Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
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`	Can 3D Adversarial Logos Cloak Humans? CoRR Tianlong Chen, Yi Wang, Jingyang Zhou, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang
2020	A*	`conf`	Few-shot Text Classification with Distributional Signatures. ICLR Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay
2020	—	`conf`	Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. EMNLP (1) Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang
2020	J	`jnl`	Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. CoRR Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang
2020	A*	`conf`	Invariant Rationalization. ICML Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
2020	J	`jnl`	Invariant Rationalization. CoRR Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
2020	J	`jnl`	Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. CoRR Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
2020	J	`jnl`	Lifelong Object Detection. CoRR Wang Zhou, Shiyu Chang, Norma E. Sosa, Hendrik F. Hamann, David D. Cox
2020	A*	`conf`	Proper Network Interpretability Helps Adversarial Robustness in Classification. ICML Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
2020	J	`jnl`	Proper Network Interpretability Helps Adversarial Robustness in Classification. CoRR Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
2020	J	`jnl`	Self-Progressing Robust Training. CoRR Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das
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`	Unsupervised Speech Decomposition via Triple Information Bottleneck. ICML Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson, David D. Cox
2020	J	`jnl`	Unsupervised Speech Decomposition via Triple Information Bottleneck. CoRR Kaizhi Qian, Yang Zhang, Shiyu Chang, David D. Cox, Mark Hasegawa-Johnson
2019	A*	`conf`	A Game Theoretic Approach to Class-wise Selective Rationalization. NeurIPS Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
2019	J	`jnl`	A Game Theoretic Approach to Class-wise Selective Rationalization. CoRR Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
2019	J	`jnl`	A Stratified Approach to Robustness for Randomly Smoothed Classifiers. CoRR Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola
2019	A*	`conf`	Additive Adversarial Learning for Unbiased Authentication. CVPR Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu
2019	J	`jnl`	Additive Adversarial Learning for Unbiased Authentication. CoRR Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu
2019	J	`jnl`	An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack. CoRR Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian
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	A*	`conf`	AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss. ICML Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson
2019	—	`conf`	Context-Aware Conversation Thread Detection in Multi-Party Chat. EMNLP/IJCNLP (1) Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu
2019	A*	`conf`	Coupled Variational Recurrent Collaborative Filtering. KDD Qingquan Song, Shiyu Chang, Xia Hu
2019	J	`jnl`	Coupled Variational Recurrent Collaborative Filtering. CoRR Qingquan Song, Shiyu Chang, Xia Hu
2019	—	`conf`	Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. ACL (1) Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar
2019	J	`jnl`	Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. CoRR Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar
2019	J	`jnl`	Few-shot Text Classification with Distributional Signatures. CoRR Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay
2019	A*	`conf`	Hybrid Reinforcement Learning with Expert State Sequences. AAAI Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
2019	J	`jnl`	Hybrid Reinforcement Learning with Expert State Sequences. CoRR Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
2019	—	`conf`	Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. NAACL-HLT (1) Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	J	`jnl`	Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. CoRR Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	—	`conf`	Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. ACL (1) Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	J	`jnl`	Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. CoRR Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	J	`jnl`	Meta Reasoning over Knowledge Graphs. CoRR Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019	—	`conf`	Out-of-Domain Detection for Low-Resource Text Classification Tasks. EMNLP/IJCNLP (1) Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu
2019	J	`jnl`	Out-of-Domain Detection for Low-Resource Text Classification Tasks. CoRR Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu
2019	—	`conf`	Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. EMNLP/IJCNLP (1) Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola
2019	J	`jnl`	Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. CoRR Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola
2019	—	`conf`	Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. ACL (1) Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao
2019	J	`jnl`	Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. CoRR Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao
2019	—	`conf`	Self-Supervised Learning for Contextualized Extractive Summarization. ACL (1) Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019	J	`jnl`	Self-Supervised Learning for Contextualized Extractive Summarization. CoRR Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019	—	`conf`	Sentence Embedding Alignment for Lifelong Relation Extraction. NAACL-HLT (1) Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019	J	`jnl`	Sentence Embedding Alignment for Lifelong Relation Extraction. CoRR Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019	—	`conf`	Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. MRQA@EMNLP Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang
2019	J	`jnl`	Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. CoRR Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang
2019	—	`conf`	TWEETQA: A Social Media Focused Question Answering Dataset. ACL (1) Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	J	`jnl`	TWEETQA: A Social Media Focused Question Answering Dataset. CoRR Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019	A*	`conf`	Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers. NeurIPS Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola
2019	J	`jnl`	Zero-Shot Voice Style Transfer with Only Autoencoder Loss. CoRR Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson
2018	—	`conf`	A Co-Matching Model for Multi-choice Reading Comprehension. ACL (2) Shuohang Wang, Mo Yu, Jing Jiang, Shiyu Chang
2018	J	`jnl`	A Co-Matching Model for Multi-choice Reading Comprehension. CoRR Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang
2018	J	`jnl`	A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization. CoRR Bowen Cheng, Yunchao Wei, Jiahui Yu, Shiyu Chang, Jinjun Xiong, Wen-mei W. Hwu, Thomas S. Huang, Humphrey Shi
2018	A*	`conf`	Co-Regularized Deep Multi-Network Embedding. WWW Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang
2018	Misc	`conf`	Deep Learning Based Speech Beamforming. ICASSP Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei A. F. Florêncio, Mark Hasegawa-Johnson
2018	J	`jnl`	Deep Learning Based Speech Beamforming. CoRR Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei A. F. Florêncio, Mark Hasegawa-Johnson
2018	A*	`conf`	Deriving Machine Attention from Human Rationales. EMNLP Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay
2018	J	`jnl`	Deriving Machine Attention from Human Rationales. CoRR Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay
2018	—	`conf`	Diverse Few-Shot Text Classification with Multiple Metrics. NAACL-HLT Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018	J	`jnl`	Diverse Few-Shot Text Classification with Multiple Metrics. CoRR Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018	—	`conf`	Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. ICLR (Poster) Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
2018	A*	`conf`	Image Super-Resolution via Dual-State Recurrent Networks. CVPR Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang
2018	J	`jnl`	Image Super-Resolution via Dual-State Recurrent Networks. CoRR Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang
2018	A*	`conf`	Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. EMNLP Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai
2018	J	`jnl`	Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. CoRR Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai
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	B	`conf`	Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. ICPP Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao
2018	J	`jnl`	Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. CoRR Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao
2018	A*	`conf`	One-Shot Relational Learning for Knowledge Graphs. EMNLP Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2018	J	`jnl`	One-Shot Relational Learning for Knowledge Graphs. CoRR Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2018	A*	`conf`	R AAAI Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang
2018	A*	`conf`	Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. IJCAI Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang
2018	J	`jnl`	Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. CoRR Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang
2018	A*	`conf`	Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization. NeurIPS Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini
2018	J	`jnl`	Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization. CoRR Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini
2017	—	`conf`	Dilated Recurrent Neural Networks. NIPS Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang
2017	J	`jnl`	Dilated Recurrent Neural Networks. CoRR Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang
2017	J	`jnl`	Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. CoRR Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
2017	—	`conf`	Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang
2017	J	`jnl`	Fast Generation for Convolutional Autoregressive Models. CoRR Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, 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	A*	`conf`	Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification. ICCV Shuangjie Xu, Yu Cheng, Kang Gu, Yang Yang, Shiyu Chang, Pan Zhou
2017	J	`jnl`	Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification. CoRR Shuangjie Xu, Yu Cheng, Kang Gu, Yang Yang, Shiyu Chang, Pan Zhou
2017	J	`jnl`	LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia. IEEE Trans. Image Process. Jinhui Tang, Shiyu Chang, Guo-Jun Qi, Qi Tian, Yong Rui, Thomas S. Huang
2017	—	`conf`	On the improvement of classifying EEG recordings using neural networks. IEEE BigData Yiran Zhao, Shuochao Yao, Shaohan Hu, Shiyu Chang, Raghu K. Ganti, Mudhakar Srivatsa, Shen Li, Tarek F. Abdelzaher
2017	J	`jnl`	R CoRR Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang
2017	J	`jnl`	Robust Task Clustering for Deep Many-Task Learning. CoRR Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou
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	A	`conf`	Speech Enhancement Using Bayesian Wavenet. INTERSPEECH Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei Florêncio, Mark Hasegawa-Johnson
2017	A*	`conf`	Streaming Recommender Systems. WWW Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2017	A	`conf`	Transformed Anti-Sparse Hashing. BMVC Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang
2017	J	`jnl`	Unsupervised Sequential Outlier Detection With Deep Architectures. IEEE Trans. Image Process. Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, Thomas S. Huang
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	A*	`conf`	Epitomic Image Super-Resolution. AAAI Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang
2016	J	`jnl`	Fast Wavenet Generation Algorithm. CoRR Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016	J	`jnl`	Large-scale supervised similarity learning in networks. Knowl. Inf. Syst. Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, 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`	Low-Rank Sparse Feature Selection for Patient Similarity Learning. ICDM Mengting Zhan, Shilei Cao, Buyue Qian, Shiyu Chang, Jishang Wei
2016	A*	`conf`	Positive-Unlabeled Learning in Streaming Networks. KDD Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016	A*	`conf`	Robust Convex Clustering Analysis. ICDM Qi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou
2016	—	`—`	Similarity learning in the era of big data Shiyu Chang
2016	J	`jnl`	Streaming Recommender Systems. CoRR Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, 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
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	A*	`conf`	A Space Alignment Method for Cold-Start TV Show Recommendations. IJCAI Shiyu Chang, Jiayu Zhou, Pirooz Chubak, Junling Hu, 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`	Heterogeneous Network Embedding via Deep Architectures. KDD Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, 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 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	A	`conf`	Negative Link Prediction in Social Media. WSDM Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu
2015	A	`conf`	Scalable Similarity Learning Using Large Margin Neighborhood Embedding. WACV Zhaowen Wang, Jianchao Yang, Zhe Lin, Jonathan Brandt, Shiyu Chang, 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
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	J	`jnl`	Blind Image Deblurring Using Spectral Properties of Convolution Operators. IEEE Trans. Image Process. Guangcan Liu, Shiyu Chang, Yi Ma
2014	—	`conf`	Collaborative Recommendation of Photo-Taking Geolocations. GeoMM Thomas Phan, Jiayu Zhou, Shiyu Chang, Junling Hu, Juhan Lee
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	A*	`conf`	Factorized Similarity Learning in Networks. ICDM Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang
2014	A*	`conf`	Learning Local Semantic Distances with Limited Supervision. ICDM Shiyu Chang, Charu C. Aggarwal, Thomas S. Huang
2014	—	`ch.`	Multimedia Classification. Data Classification: Algorithms and Applications Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang
2014	J	`jnl`	Negative Link Prediction in Social Media. CoRR Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu
2014	J	`jnl`	Scalable Similarity Learning using Large Margin Neighborhood Embedding. CoRR Zhaowen Wang, Jianchao Yang, Zhe Lin, Jonathan Brandt, Shiyu Chang, Thomas S. Huang
2013	—	`ch.`	Clustering Multimedia Data. Data Clustering: Algorithms and Applications Shen-Fu Tsai, Guo-Jun Qi, Shiyu Chang, Min-Hsuan Tsai, Thomas S. Huang
2013	A*	`conf`	Learning Locally-Adaptive Decision Functions for Person Verification. CVPR Zhen Li, Shiyu Chang, Feng Liang, Thomas S. Huang, Liangliang Cao, John R. Smith
2013	—	`conf`	Localizing Web Videos from Heterogeneous Images. AAAI (Late-Breaking Developments) Xianming Liu, Yue Gao, Rongrong Ji, Shiyu Chang, Thomas S. Huang
2013	A*	`conf`	Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree. ICDM Shiyu Chang, Guo-Jun Qi, Jinhui Tang, Qi Tian, Yong Rui, Thomas S. Huang
2012	—	`conf`	Beyond Mahalanobis distance: Learning second-order discriminant function for people verification. CVPR Workshops Zhen Li, Liangliang Cao, Shiyu Chang, John R. Smith, Thomas S. Huang
2011	A*	`conf`	Towards cross-category knowledge propagation for learning visual concepts. CVPR Guo-Jun Qi, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang