Heng Huang - RankMe

772 papers A* 257A 19B 9C 9Misc 8Journal 342Unranked 124

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are We Evaluating the Edit Locality of LLM Model Editing Properly? CoRR Wei Liu, Haomei Xu, Hongkai Liu, Zhiying Deng, Ruixuan Li, Heng Huang, Yee Whye Teh, Wee Sun Lee
2026	J	`jnl`	CRESTomics: Analyzing Carotid Plaques in the CREST-2 Trial with a New Additive Classification Model. CoRR Pranav Kulkarni, Brajesh K. Lal, Georges Jreij, Sai Vallamchetla, Langford Green, Jenifer Voeks, John Huston, Lloyd Edwards, George Howard, Bradley A. Maron, Thomas G. Brott, James F. Meschia, Florence X. Doo, Heng Huang
2026	J	`jnl`	MC CoRR Xuehao Cui, Ruibo Chen, Yihan Wu, Heng Huang
2026	J	`jnl`	MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention. IEEE Trans. Medical Imaging Tianyi Wang, Jianan Fan, Dingxin Zhang, Dongnan Liu, Yong Xia, Heng Huang, Weidong Cai
2026	J	`jnl`	More Haste, Less Speed: Weaker Single-Layer Watermark Improves Distortion-Free Watermark Ensembles. CoRR Ruibo Chen, Yihan Wu, Xuehao Cui, Jingqi Zhang, Heng Huang
2026	J	`jnl`	Parallel-Probe: Towards Efficient Parallel Thinking via 2D Probing. CoRR Tong Zheng, Chengsong Huang, Runpeng Dai, Yun He, Rui Liu, Xin Ni, Huiwen Bao, Kaishen Wang, Hongtu Zhu, Jiaxin Huang, Furong Huang, Heng Huang
2026	J	`jnl`	Prepare Reasoning Language Models for Multi-Agent Debate with Self-Debate Reinforcement Learning. CoRR Chenxi Liu, Yanshuo Chen, Ruibo Chen, Tianyi Xiong, Tong Zheng, Heng Huang
2026	J	`jnl`	Provably Efficient Algorithms for S- and Non-Rectangular Robust MDPs with General Parameterization. CoRR Anirudh Satheesh, Ziyi Chen, Furong Huang, Heng Huang
2026	J	`jnl`	R2-Router: A New Paradigm for LLM Routing with Reasoning. CoRR Jiaqi Xue, Qian Lou, Jiarong Xing, Heng Huang
2026	J	`jnl`	Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds. CoRR Shaocong Ma, Heng Huang
2026	J	`jnl`	Unsafe by Reciprocity: How Generation-Understanding Coupling Undermines Safety in Unified Multimodal Models. CoRR Kaishen Wang, Heng Huang
2026	J	`jnl`	X-Mark: Saliency-Guided Robust Dataset Ownership Verification for Medical Imaging. CoRR Pranav Kulkarni, Junfeng Guo, Heng Huang
2025	J	`jnl`	A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang
2025	J	`jnl`	A Watermark for Auto-Regressive Image Generation Models. CoRR Yihan Wu, Xuehao Cui, Ruibo Chen, Georgios Milis, Heng Huang
2025	A	`conf`	A Watermark for Auto-Regressive Speech Generation Models. INTERSPEECH Yihan Wu, Ruibo Chen, Georgios Milis, Junfeng Guo, Heng Huang
2025	A*	`conf`	A Watermark for Order-Agnostic Language Models. ICLR Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang
2025	J	`jnl`	ARGUS: Hallucination and Omission Evaluation in Video-LLMs. CoRR Ruchit Rawal, Reza Shirkavand, Heng Huang, Gowthami Somepalli, Tom Goldstein
2025	A*	`conf`	AUDIO WATERMARK: Dynamic and Harmless Watermark for Black-box Voice Dataset Copyright Protection. USENIX Security Symposium Hanqing Guo, Junfeng Guo, Bocheng Chen, Yuanda Wang, Xun Chen, Heng Huang, Qiben Yan, Li Xiao
2025	J	`jnl`	Achieve Performatively Optimal Policy for Performative Reinforcement Learning. CoRR Ziyi Chen, Heng Huang
2025	J	`jnl`	An Efficient and Adaptive Watermark Detection System with Tile-based Error Correction. CoRR Xinrui Zhong, Xinze Feng, Jingwei Zuo, Fanjiang Ye, Yi Mu, Junfeng Guo, Heng Huang, Myungjin Lee, Yuke Wang
2025	J	`jnl`	An Ensemble Framework for Unbiased Language Model Watermarking. CoRR Yihan Wu, Ruibo Chen, Georgios Milis, Heng Huang
2025	J	`jnl`	Analyzing and Evaluating Unbiased Language Model Watermark. CoRR Yihan Wu, Xuehao Cui, Ruibo Chen, Heng Huang
2025	—	`conf`	Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation. ACL (Findings) Tong Zheng, Yan Wen, Huiwen Bao, Junfeng Guo, Heng Huang
2025	J	`jnl`	Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation. CoRR Tong Zheng, Yan Wen, Huiwen Bao, Junfeng Guo, Heng Huang
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`	BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis. Neural Networks Kai Ye, Haoteng Tang, Siyuan Dai, Igor Fortel, Paul M. Thompson, Scott Mackin, Alex D. Leow, Heng Huang, Liang Zhan
2025	J	`jnl`	Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training. CoRR Reza Shirkavand, Qi He, Peiran Yu, Heng Huang
2025	J	`jnl`	Catalog-Native LLM: Speaking Item-ID Dialect with Less Entanglement for Recommendation. CoRR Reza Shirkavand, Xiaokai Wei, Chen Wang, Zheng Hui, Heng Huang, Michelle Gong
2025	—	`conf`	Characterizing Amyloid Pathogenic Spread in Alzheimer's Disease Through A Network Diffusion Model. BCB Frederick H. Xu, Duy Duong-Tran, Heng Huang, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Yize Zhao, Li Shen
2025	J	`jnl`	Client-Centric Federated Adaptive Optimization. CoRR Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang
2025	J	`jnl`	CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems. CoRR Yan Wen, Junfeng Guo, Heng Huang
2025	J	`jnl`	Cost-Aware Contrastive Routing for LLMs. CoRR Reza Shirkavand, Shangqian Gao, Peiran Yu, Heng Huang
2025	A*	`conf`	De-mark: Watermark Removal in Large Language Models. ICML Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
2025	J	`jnl`	Dynamic Feedback Engines: Layer-Wise Control for Self-Regulating Continual Learning. CoRR Hengyi Wu, Zhenyi Wang, Heng Huang
2025	A*	`conf`	Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models. CVPR Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang
2025	J	`jnl`	Enhancing privacy in biosecurity with watermarked protein design. Bioinform. Yanshuo Chen, Zhengmian Hu, Yihan Wu, Ruibo Chen, Yongrui Jin, Marcus Zhan, Chengjin Xie, Wei Chen, Heng Huang
2025	A*	`conf`	Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations. IJCAI Wenhan Xian, Feihu Huang, Heng Huang
2025	J	`jnl`	Explore Data Left Behind in Reinforcement Learning for Reasoning Language Models. CoRR Chenxi Liu, Junjie Liang, Yuqi Jia, Bochuan Cao, Yang Bai, Heng Huang, Xun Chen
2025	J	`jnl`	Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction. Bioinform. Yanshuo Chen, Zhengmian Hu, Wei Chen, Heng Huang
2025	—	`conf`	From Lists to Emojis: How Format Bias Affects Model Alignment. ACL (1) Xuanchang Zhang, Wei Xiong, Lichang Chen, Tianyi Zhou, Heng Huang, Tong Zhang
2025	J	`jnl`	GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning. CoRR Kelin Yu, Sheng Zhang, Harshit Soora, Furong Huang, Heng Huang, Pratap Tokekar, Ruohan Gao
2025	J	`jnl`	Global Model Selection for Semi-Supervised Support Vector Machine via Solution Paths. IEEE Trans. Neural Networks Learn. Syst. Yajing Fan, Shuyang Yu, Bin Gu, Ziran Xiong, Zhou Zhai, Heng Huang, Yi Chang
2025	J	`jnl`	Global Model Selection via Solution Paths for Robust Support Vector Machine. IEEE Trans. Pattern Anal. Mach. Intell. Zhou Zhai, Bin Gu, Cheng Deng, Heng Huang
2025	A*	`conf`	Identification of Intermittent Temporal Latent Process. ICLR Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang
2025	J	`jnl`	ImAgent: A Unified Multimodal Agent Framework for Test-Time Scalable Image Generation. CoRR Kaishen Wang, Ruibo Chen, Tong Zheng, Heng Huang
2025	—	`conf`	Improved Unbiased Watermark for Large Language Models. ACL (1) Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
2025	J	`jnl`	Improved Unbiased Watermark for Large Language Models. CoRR Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
2025	J	`jnl`	Improving Text-to-Image Generation with Input-Side Inference-Time Scaling. CoRR Ruibo Chen, Jiacheng Pan, Heng Huang, Zhenheng Yang
2025	A*	`conf`	LLaVA-Critic: Learning to Evaluate Multimodal Models. CVPR Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li
2025	J	`jnl`	Learning to Reason via Mixture-of-Thought for Logical Reasoning. CoRR Tong Zheng, Lichang Chen, Simeng Han, R. Thomas McCoy, Heng Huang
2025	J	`jnl`	Leave No TRACE: Black-box Detection of Copyrighted Dataset Usage in Large Language Models via Watermarking. CoRR Jingqi Zhang, Ruibo Chen, Yingqing Yang, Peihua Mai, Heng Huang, Yan Pang
2025	J	`jnl`	MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention. CoRR Tianyi Wang, Jianan Fan, Dingxin Zhang, Dongnan Liu, Yong Xia, Heng Huang, Tom Weidong Cai
2025	A*	`conf`	Modality Plug-and-Play: Runtime Modality Adaptation in LLM-Driven Autonomous Mobile Systems. MobiCom Kai Huang, Xiangyu Yin, Heng Huang, Wei Gao
2025	J	`jnl`	Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining. CoRR Chenxi Liu, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Tianyi Zhou, Heng Huang
2025	J	`jnl`	Model Correlation Detection via Random Selection Probing. CoRR Ruibo Chen, Sheng Zhang, Yihan Wu, Tong Zheng, Peihua Mai, Heng Huang
2025	J	`jnl`	Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following. CoRR Tianyi Xiong, Yi Ge, Ming Li, Zuolong Zhang, Pranav Kulkarni, Kaishen Wang, Qi He, Zeying Zhu, Chenxi Liu, Ruibo Chen, Tong Zheng, Yanshuo Chen, Xiyao Wang, Renrui Zhang, Wenhu Chen, Heng Huang
2025	—	`conf`	Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. ICCVW Zixuan Wen, Bojian Hou, Weiqing He, Shu Yang, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
2025	A*	`conf`	Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. ICLR Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang
2025	A*	`conf`	OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities. ICLR Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong
2025	J	`jnl`	On Structuring Hyperspherical Manifold for Probing Novel Biomedical Entities. IEEE Trans. Pattern Anal. Mach. Intell. Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai
2025	J	`jnl`	On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization. CoRR Shaocong Ma, Heng Huang
2025	J	`jnl`	Parallel-R1: Towards Parallel Thinking via Reinforcement Learning. CoRR Tong Zheng, Hongming Zhang, Wenhao Yu, Xiaoyang Wang, Runpeng Dai, Rui Liu, Huiwen Bao, Chengsong Huang, Heng Huang, Dong Yu
2025	—	`conf`	Predicting Longitudinal Cognitive Decline via Multimodal Deep Learning Fusing Brain MRI and Clinical Data. SIPAIM Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H. Ankarath, Christopher Patterson, Emma J. Gleave, Sophia I. Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M. Thompson
2025	J	`jnl`	Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment. CoRR Ziyi Chen, Junyi Li, Peiran Yu, Heng Huang
2025	J	`jnl`	R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression. CoRR Kun Zhao, Siyuan Dai, Yingying Zhang, Guodong Liu, Pengfei Gu, Chenghua Lin, Paul M. Thompson, Alex D. Leow, Heng Huang, Lifang He, Liang Zhan, Haoteng Tang
2025	J	`jnl`	Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality. CoRR Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang
2025	J	`jnl`	Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality. Trans. Mach. Learn. Res. Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang
2025	A*	`conf`	Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness. ICML Qi He, Peiran Yu, Ziyi Chen, Heng Huang
2025	J	`jnl`	Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness. CoRR Qi He, Peiran Yu, Ziyi Chen, Heng Huang
2025	A*	`conf`	Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations. ICLR Shaocong Ma, Heng Huang
2025	J	`jnl`	Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations. CoRR Shaocong Ma, Heng Huang
2025	J	`jnl`	Robust Distortion-Free Watermark for Autoregressive Audio Generation Models. CoRR Yihan Wu, Georgios Milis, Ruibo Chen, Heng Huang
2025	J	`jnl`	Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets. CoRR Shaocong Ma, Heng Huang
2025	—	`conf`	Selective Channel-Quality-Guided EEG Denoising for Brain Disorder Prediction. ICDM (Workshops) Yang Du, Siyuan Dai, Marcus Zhan, Guodong Liu, Paul M. Thompson, Heng Huang, Haoteng Tang
2025	A*	`conf`	SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models. CVPR Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu
2025	J	`jnl`	Stagewise Training With Exponentially Growing Training Sets. IEEE Trans. Neural Networks Learn. Syst. Bin Gu, Hilal AlQuabeh, William de Vazelhes, Zhouyuan Huo, Heng Huang
2025	J	`jnl`	Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness. CoRR Yu Feng, Dingxin Zhang, Runkai Zhao, Yong Xia, Heng Huang, Tom Weidong Cai
2025	J	`jnl`	Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Ownership Verification with Reasoning. CoRR Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Yanshuo Chen, Heng Huang
2025	A*	`conf`	Towards Optimal Multi-draft Speculative Decoding. ICLR Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang
2025	J	`jnl`	Towards Optimal Multi-draft Speculative Decoding. CoRR Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang
2025	J	`jnl`	Trade-off in Estimating the Number of Byzantine Clients in Federated Learning. CoRR Ziyi Chen, Su Zhang, Heng Huang
2025	—	`conf`	Trustworthy Clinical Thinking in MLLMs: Hierarchical Energy-based Reasoning for interpretable MEdical Scans (HERMES). Agentic AI/CREATE/Clinical MLLMs@MICCAI Florence X. Doo, Huiwen Han, Bradley A. Maron, Heng Huang
2025	J	`jnl`	Understanding Catastrophic Interference On the Identifibility of Latent Representations. CoRR Yuke Li, Yujia Zheng, Tianyi Xiong, Zhenyi Wang, Heng Huang
2025	J	`jnl`	Web IP at Risk: Prevent Unauthorized Real-Time Retrieval by Large Language Models. CoRR Yisheng Zhong, Yizhu Wen, Junfeng Guo, Mehran Kafai, Heng Huang, Hanqing Guo, Zhuangdi Zhu
2025	A*	`conf`	Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models. EMNLP Yisheng Zhong, Yizhu Wen, Junfeng Guo, Mehran Kafai, Heng Huang, Hanqing Guo, Zhuangdi Zhu
2025	—	`conf`	Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. ICDM (Workshops) Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan
2025	J	`jnl`	Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. CoRR Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan
2025	J	`jnl`	Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization. CoRR Ziyi Chen, Peiran Yu, Heng Huang
2024	A*	`conf`	A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution. EMNLP Zhengmian Hu, Tong Zheng, Heng Huang
2024	J	`jnl`	A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution. CoRR Zhengmian Hu, Tong Zheng, Heng Huang
2024	J	`jnl`	A Bayesian Federated Learning Framework With Online Laplace Approximation. IEEE Trans. Pattern Anal. Mach. Intell. Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao
2024	J	`jnl`	A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. Comput. Optim. Appl. Chuan He, Heng Huang, Zhaosong Lu
2024	A*	`conf`	A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models. ICML Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang
2024	A*	`conf`	A Unified and General Framework for Continual Learning. ICLR Zhenyi Wang, Yan Li, Li Shen, Heng Huang
2024	J	`jnl`	A Unified and General Framework for Continual Learning. CoRR Zhenyi Wang, Yan Li, Li Shen, Heng Huang
2024	J	`jnl`	A Watermark for Order-Agnostic Language Models. CoRR Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang
2024	A*	`conf`	Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces. ICML Ziyi Chen, Heng Huang
2024	A*	`conf`	Accelerated Speculative Sampling Based on Tree Monte Carlo. ICML Zhengmian Hu, Heng Huang
2024	A*	`conf`	Adversarial Fairness Network. AAAI Taeuk Jang, Xiaoqian Wang, Heng Huang
2024	A*	`conf`	AlpaGasus: Training a Better Alpaca with Fewer Data. ICLR Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
2024	J	`jnl`	Asynchronous Parallel Large-Scale Gaussian Process Regression. IEEE Trans. Neural Networks Learn. Syst. Zhiyuan Dang, Bin Gu, Cheng Deng, Heng Huang
2024	A*	`conf`	Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. CVPR Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang
2024	J	`jnl`	Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. CoRR Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang
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	A*	`conf`	BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks. CVPR Shangqian Gao, Yanfu Zhang, Feihu Huang, Heng Huang
2024	J	`jnl`	Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding. CoRR Heng Huang, Lin Zhao, Zihao Wu, Xiaowei Yu, Jing Zhang, Xintao Hu, Dajiang Zhu, Tianming Liu
2024	—	`conf`	Brain Image Synthesis Using Incomplete Multimodal Data. ISBI Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang
2024	J	`jnl`	Causality-Invariant Interactive Mining for Cross-Modal Similarity Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jiexi Yan, Cheng Deng, Heng Huang, Wei Liu
2024	J	`jnl`	Cell as Point: One-Stage Framework for Efficient Cell Tracking. CoRR Yaxuan Song, Jianan Fan, Heng Huang, Mei Chen, Tom Weidong Cai
2024	A*	`conf`	Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. AAAI Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang
2024	J	`jnl`	Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. IEEE Trans. Neural Networks Learn. Syst. Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan
2024	J	`jnl`	Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework. CoRR Zhengwei Yang, Yuke Li, Qiang Sun, Basura Fernando, Heng Huang, Zheng Wang
2024	J	`jnl`	De-mark: Watermark Removal in Large Language Models. CoRR Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
2024	A*	`conf`	Defense against Model Extraction Attack by Bayesian Active Watermarking. ICML Zhenyi Wang, Yihan Wu, Heng Huang
2024	A*	`conf`	Delving into the Convergence of Generalized Smooth Minimax Optimization. ICML Wenhan Xian, Ziyi Chen, Heng Huang
2024	A*	`conf`	Device-Wise Federated Network Pruning. CVPR Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang
2024	J	`jnl`	Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions. CoRR Yihan Wu, Ruibo Chen, Zhengmian Hu, Yanshuo Chen, Junfeng Guo, Hongyang Zhang, Heng Huang
2024	A*	`conf`	Dropout Enhanced Bilevel Training. ICLR Peiran Yu, Junyi Li, Heng Huang
2024	J	`jnl`	EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Peiyan Dong, Jinming Zhuang, Zhuoping Yang, Shixin Ji, Yanyu Li, Dongkuan Xu, Heng Huang, Jingtong Hu, Alex K. Jones, Yiyu Shi, Yanzhi Wang, Peipei Zhou
2024	J	`jnl`	Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models. CoRR Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang
2024	J	`jnl`	Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning. CoRR Zhaoxin Fan, Runmin Jiang, Junhao Wu, Xin Huang, Tianyang Wang, Heng Huang, Min Xu
2024	Misc	`conf`	Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion. CoRL Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermüller, Yiannis Aloimonos, Heng Huang, Christopher A. Metzler
2024	J	`jnl`	Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion. CoRR Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermüller, Yiannis Aloimonos, Heng Huang, Christopher A. Metzler
2024	J	`jnl`	Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction. CoRR Yanshuo Chen, Zhengmian Hu, Wei Chen, Heng Huang
2024	A*	`conf`	FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization. ICLR Junyi Li, Feihu Huang, Heng Huang
2024	—	`book`	Federated Learning - From Algorithms to System Implementation Federated Learning Liefeng Bo, Heng Huang, Songxiang Gu, Yanqing Chen
2024	J	`jnl`	Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt. CoRR Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
2024	—	`conf`	Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt. ECCV (81) Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
2024	J	`jnl`	From Lists to Emojis: How Format Bias Affects Model Alignment. CoRR Xuanchang Zhang, Wei Xiong, Lichang Chen, Tianyi Zhou, Heng Huang, Tong Zhang
2024	J	`jnl`	From Pixels to Prose: A Large Dataset of Dense Image Captions. CoRR Vasu Singla, Kaiyu Yue, Sukriti Paul, Reza Shirkavand, Mayuka Jayawardhana, Alireza Ganjdanesh, Heng Huang, Abhinav Bhatele, Gowthami Somepalli, Tom Goldstein
2024	J	`jnl`	Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems. Trans. Mach. Learn. Res. Peiran Yu, Junyi Li, Heng Huang
2024	A*	`conf`	Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models. NeurIPS Zhengmian Hu, Heng Huang
2024	J	`jnl`	Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models. CoRR Zhengmian Hu, Heng Huang
2024	J	`jnl`	Innovative super-resolution in spatial transcriptomics: a transformer model exploiting histology images and spatial gene expression. Briefings Bioinform. Chongyue Zhao, Zhongli Xu, Xinjun Wang, Shiyue Tao, William A Macdonald, Kun He, Amanda C. Poholek, Kong Chen, Heng Huang, Wei Chen
2024	A*	`conf`	InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. ICML Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou
2024	—	`conf`	Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. MICCAI (2) Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
2024	J	`jnl`	Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. CoRR Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul Thompson, Heng Huang, Liang Zhan
2024	J	`jnl`	Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
2024	A*	`conf`	Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. CVPR Alireza Ganjdanesh, Shangqian Gao, Heng Huang
2024	J	`jnl`	Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. CoRR Alireza Ganjdanesh, Shangqian Gao, Heng Huang
2024	J	`jnl`	Kernel Path for Semisupervised Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. Zhou Zhai, Heng Huang, Bin Gu
2024	J	`jnl`	LLaVA-Critic: Learning to Evaluate Multimodal Models. CoRR Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li
2024	A	`conf`	Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. AISTATS Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu
2024	J	`jnl`	MLPHand: Real Time Multi-View 3D Hand Mesh Reconstruction via MLP Modeling. CoRR Jian Yang, Jiakun Li, Guoming Li, Zhen Shen, Huai-yu Wu, Zhaoxin Fan, Heng Huang
2024	J	`jnl`	Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection. CoRR Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang
2024	—	`conf`	Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection. ECCV (61) Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang
2024	A*	`conf`	Model Sensitivity Aware Continual Learning. NeurIPS Zhenyi Wang, Heng Huang
2024	—	`conf`	Neurodegenerative Disease Prediction via Transferable Deep Networks. ISBI Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang
2024	J	`jnl`	New Scalable and Efficient Online Pairwise Learning Algorithm. IEEE Trans. Neural Networks Learn. Syst. Bin Gu, Runxue Bao, Chenkang Zhang, Heng Huang
2024	J	`jnl`	Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. CoRR Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang
2024	A*	`conf`	ODIN: Disentangled Reward Mitigates Hacking in RLHF. ICML Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro
2024	J	`jnl`	ODIN: Disentangled Reward Mitigates Hacking in RLHF. CoRR Lichang Chen, Chen Zhu, Davit Soselia, Jiuhai Chen, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro
2024	J	`jnl`	OPTune: Efficient Online Preference Tuning. CoRR Lichang Chen, Jiuhai Chen, Chenxi Liu, John Kirchenbauer, Davit Soselia, Chen Zhu, Tom Goldstein, Tianyi Zhou, Heng Huang
2024	J	`jnl`	Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms. Neural Comput. Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang
2024	J	`jnl`	Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms. CoRR Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang
2024	J	`jnl`	OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities. CoRR Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong
2024	A*	`conf`	On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning. ICLR Ziyi Chen, Yi Zhou, Heng Huang
2024	A*	`conf`	On the Role of Server Momentum in Federated Learning. AAAI Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang
2024	—	`conf`	Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. ECCV (14) Wentao Bao, Lichang Chen, Heng Huang, Yu Kong
2024	A*	`conf`	Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling. NeurIPS Junyi Li, Heng Huang
2024	J	`jnl`	Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling. CoRR Junyi Li, Heng Huang
2024	A*	`conf`	Retrieval Across Any Domains via Large-scale Pre-trained Model. ICML Jiexi Yan, Zhihui Yin, Chenghao Xu, Cheng Deng, Heng Huang
2024	—	`conf`	Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View. ECCV (73) Jianan Fan, Dongnan Liu, Canran Li, Hang Chang, Heng Huang, Filip Braet, Mei Chen, Tom Weidong Cai
2024	J	`jnl`	Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View. CoRR Jianan Fan, Dongnan Liu, Canran Li, Hang Chang, Heng Huang, Filip Braet, Mei Chen, Weidong Cai
2024	A*	`conf`	Robust Reinforcement Learning with General Utility. NeurIPS Ziyi Chen, Yan Wen, Zhengmian Hu, Heng Huang
2024	A	`conf`	SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration. FPGA Jinming Zhuang, Zhuoping Yang, Shixin Ji, Heng Huang, Alex K. Jones, Jingtong Hu, Yiyu Shi, Peipei Zhou
2024	J	`jnl`	SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration. CoRR Jinming Zhuang, Zhuoping Yang, Shixin Ji, Heng Huang, Alex K. Jones, Jingtong Hu, Yiyu Shi, Peipei Zhou
2024	A*	`conf`	Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. CVPR Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai
2024	J	`jnl`	Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. CoRR Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai
2024	J	`jnl`	SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models. CoRR Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu
2024	J	`jnl`	Tackle balancing constraints in semi-supervised ordinal regression. Mach. Learn. Chenkang Zhang, Heng Huang, Bin Gu
2024	J	`jnl`	Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks. IEEE Trans. Neural Networks Learn. Syst. Zheng Wang, Feiping Nie, Hua Wang, Heng Huang, Fei Wang
2024	A*	`conf`	Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation. ICLR Kai Huang, Hanyun Yin, Heng Huang, Wei Gao
2024	A*	`conf`	Unbiased Watermark for Large Language Models. ICLR Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang
2024	—	`conf`	Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection. ACL (Findings) Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang
2024	J	`jnl`	Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection. CoRR Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang
2024	A*	`conf`	ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark. NeurIPS Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang
2023	J	`jnl`	A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. CoRR Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang
2023	A*	`conf`	A Law of Robustness beyond Isoperimetry. ICML Yihan Wu, Heng Huang, Hongyang Zhang
2023	J	`jnl`	A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. CoRR Chuan He, Heng Huang, Zhaosong Lu
2023	J	`jnl`	A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2023	J	`jnl`	A new large-scale learning algorithm for generalized additive models. Mach. Learn. Bin Gu, Chenkang Zhang, Zhouyuan Huo, Heng Huang
2023	J	`jnl`	Adaptive Hierarchical Similarity Metric Learning With Noisy Labels. IEEE Trans. Image Process. Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang
2023	A*	`conf`	Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. AAAI Yihan Wu, Aleksandar Bojchevski, Heng Huang
2023	J	`jnl`	AlpaGasus: Training A Better Alpaca with Fewer Data. CoRR Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
2023	J	`jnl`	Backdoor Learning on Sequence to Sequence Models. CoRR Lichang Chen, Minhao Cheng, Heng Huang
2023	A*	`conf`	Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization. ICML Zhengmian Hu, Xidong Wu, Heng Huang
2023	—	`conf`	Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. MICCAI (3) Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
2023	A*	`conf`	Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems. NeurIPS Junyi Li, Feihu Huang, Heng Huang
2023	J	`jnl`	Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems. CoRR Junyi Li, Feihu Huang, Heng Huang
2023	J	`jnl`	Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. CoRR Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang
2023	A*	`conf`	Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets. CVPR Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang
2023	J	`jnl`	Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets. CoRR Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang
2023	A*	`conf`	Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. AAAI Xidong Wu, Zhengmian Hu, Heng Huang
2023	J	`jnl`	Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. CoRR Xidong Wu, Zhengmian Hu, Heng Huang
2023	J	`jnl`	Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement. IEEE Trans. Multim. Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Tom Weidong Cai
2023	J	`jnl`	Deep Prompt Tuning for Graph Transformers. CoRR Reza Shirkavand, Heng Huang
2023	J	`jnl`	DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models. CoRR Yihan Wu, Zhengmian Hu, Hongyang Zhang, Heng Huang
2023	A*	`conf`	Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. NeurIPS Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
2023	J	`jnl`	Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. CoRR Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
2023	J	`jnl`	Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction. CoRR Xiangyu Xu, Lichang Chen, Changjiang Cai, Huangying Zhan, Qingan Yan, Pan Ji, Junsong Yuan, Heng Huang, Yi Xu
2023	A*	`conf`	EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. AAAI Alireza Ganjdanesh, Shangqian Gao, Heng Huang
2023	A*	`conf`	Faster Adaptive Federated Learning. AAAI Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang
2023	A*	`conf`	Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples. AAAI Zhou Zhai, Lei Luo, Heng Huang, Bin Gu
2023	J	`jnl`	FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging. CoRR Junyi Li, Feihu Huang, Heng Huang
2023	A*	`conf`	Federated Conditional Stochastic Optimization. NeurIPS Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang
2023	J	`jnl`	Federated Conditional Stochastic Optimization. CoRR Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang
2023	J	`jnl`	Federated Continual Novel Class Learning. CoRR Lixu Wang, Chenxi Liu, Junfeng Guo, Jiahua Dong, Xiao Wang, Heng Huang, Qi Zhu
2023	A*	`conf`	Finding Local Minima Efficiently in Decentralized Optimization. NeurIPS Wenhan Xian, Heng Huang
2023	J	`jnl`	GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset. CoRR Ruibo Chen, Tianyi Xiong, Yihan Wu, Guodong Liu, Zhengmian Hu, Lichang Chen, Yanshuo Chen, Chenxi Liu, Heng Huang
2023	—	`conf`	Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen
2023	J	`jnl`	Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson
2023	J	`jnl`	InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. CoRR Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou
2023	J	`jnl`	Iteratively Re-Weighted Method for Sparsity-Inducing Norms. IEEE Trans. Knowl. Data Eng. Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Xuelong Li, Heng Huang
2023	A*	`conf`	Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. ICLR Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin
2023	A*	`conf`	Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning. ICCV Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang
2023	J	`jnl`	On the Role of Server Momentum in Federated Learning. CoRR Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang
2023	A*	`conf`	Optimization and Bayes: A Trade-off for Overparameterized Neural Networks. NeurIPS Zhengmian Hu, Heng Huang
2023	A	`conf`	PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones. MobiSys Xiangyu Yin, Kai Huang, Erick Forno, Wei Chen, Heng Huang, Wei Gao
2023	A*	`conf`	PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. EMNLP Lichang Chen, Jiuhai Chen, Heng Huang, Minhao Cheng
2023	J	`jnl`	PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. CoRR Lichang Chen, Heng Huang, Minhao Cheng
2023	J	`jnl`	Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers. CoRR Reza Shirkavand, Fei Zhang, Heng Huang
2023	J	`jnl`	Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. CoRR Wentao Bao, Lichang Chen, Heng Huang, Yu Kong
2023	J	`jnl`	Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. CoRR Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Heng Huang, Jiuxiang Gu, Tianyi Zhou
2023	A*	`conf`	Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning. NeurIPS Junyi Li, Heng Huang
2023	A*	`conf`	Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. KDD Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang
2023	J	`jnl`	Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. CoRR Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang
2023	J	`jnl`	Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation. CoRR Yihan Wu, Brandon Y. Feng, Heng Huang
2023	J	`jnl`	Signed graph representation learning for functional-to-structural brain network mapping. Medical Image Anal. Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
2023	A*	`conf`	Solving a Class of Non-Convex Minimax Optimization in Federated Learning. NeurIPS Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang
2023	J	`jnl`	Solving a Class of Non-Convex Minimax Optimization in Federated Learning. CoRR Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang
2023	A*	`conf`	Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection. ACM Multimedia Maosen Li, Xurong Li, Kun Yu, Cheng Deng, Heng Huang, Feng Mao, Hui Xue, Minghao Li
2023	A*	`conf`	Structural Alignment for Network Pruning through Partial Regularization. ICCV Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang
2023	A*	`conf`	Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. ICCV Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai
2023	J	`jnl`	Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. CoRR Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Tom Weidong Cai
2023	A*	`conf`	Tighter Analysis for ProxSkip. ICML Zhengmian Hu, Heng Huang
2023	J	`jnl`	Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. CoRR Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan
2023	J	`jnl`	Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation. CoRR Kai Huang, Hanyun Yin, Heng Huang, Wei Gao
2023	J	`jnl`	Unbiased Watermark for Large Language Models. CoRR Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang
2023	J	`jnl`	When do you need Chain-of-Thought Prompting for ChatGPT? CoRR Jiuhai Chen, Lichang Chen, Heng Huang, Tianyi Zhou
2022	J	`jnl`	3D bi-directional transformer U-Net for medical image segmentation. Frontiers Big Data Xiyao Fu, Zhexian Sun, Haoteng Tang, Eric M. Zou, Heng Huang, Yong Wang, Liang Zhan
2022	A*	`conf`	A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. AAAI Junyi Li, Bin Gu, Heng Huang
2022	J	`jnl`	Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization. J. Mach. Learn. Res. Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
2022	J	`jnl`	Adversarial Weight Perturbation Improves Generalization in Graph Neural Network. CoRR Yihan Wu, Aleksandar Bojchevski, Heng Huang
2022	A	`conf`	An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. CIKM Runxue Bao, Bin Gu, Heng Huang
2022	J	`jnl`	An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. CoRR Runxue Bao, Bin Gu, Heng Huang
2022	J	`jnl`	BI AVAN: Brain inspired Adversarial Visual Attention Network. CoRR Heng Huang, Lin Zhao, Xintao Hu, Haixing Dai, Lu Zhang, Dajiang Zhu, Tianming Liu
2022	A*	`conf`	Balanced Self-Paced Learning for AUC Maximization. AAAI Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang
2022	J	`jnl`	Balanced Self-Paced Learning for AUC Maximization. CoRR Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang
2022	A*	`conf`	Bregman Gradient Policy Optimization. ICLR Feihu Huang, Shangqian Gao, Heng Huang
2022	A*	`conf`	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
2022	J	`jnl`	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
2022	A*	`conf`	Communication-Efficient Adam-Type Algorithms for Distributed Data Mining. ICDM Wenhan Xian, Feihu Huang, Heng Huang
2022	J	`jnl`	Communication-Efficient Adam-Type Algorithms for Distributed Data Mining. CoRR Wenhan Xian, Feihu Huang, Heng Huang
2022	A*	`conf`	Communication-Efficient Robust Federated Learning with Noisy Labels. KDD Junyi Li, Jian Pei, Heng Huang
2022	J	`jnl`	Communication-Efficient Robust Federated Learning with Noisy Labels. CoRR Junyi Li, Jian Pei, Heng Huang
2022	J	`jnl`	Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. CoRR Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan
2022	A*	`conf`	Coordinating Momenta for Cross-Silo Federated Learning. AAAI An Xu, Heng Huang
2022	J	`jnl`	DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. IEEE Trans. Medical Imaging Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai
2022	J	`jnl`	Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement. CoRR Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Weidong Cai
2022	J	`jnl`	Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. CoRR Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang
2022	A*	`conf`	Detached Error Feedback for Distributed SGD with Random Sparsification. ICML An Xu, Heng Huang
2022	—	`conf`	Disentangled Differentiable Network Pruning. ECCV (11) Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang
2022	J	`jnl`	Distributed Dynamic Safe Screening Algorithms for Sparse Regularization. CoRR Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang
2022	A*	`conf`	Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. IJCAI Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang
2022	A*	`conf`	Enhanced Bilevel Optimization via Bregman Distance. NeurIPS Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang
2022	—	`conf`	Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. MICCAI (1) Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
2022	A*	`conf`	Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. ICDM Xidong Wu, Feihu Huang, Heng Huang
2022	J	`jnl`	Faster Adaptive Federated Learning. CoRR Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang
2022	J	`jnl`	Faster Stochastic Quasi-Newton Methods. IEEE Trans. Neural Networks Learn. Syst. Qingsong Zhang, Feihu Huang, Cheng Deng, Heng Huang
2022	J	`jnl`	FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings. CoRR Junyi Li, Heng Huang
2022	J	`jnl`	Functional2Structural: Cross-Modality Brain Networks Representation Learning. CoRR Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
2022	J	`jnl`	HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging. CoRR Haozhe Jia, Chao Bai, Tom Weidong Cai, Heng Huang, Yong Xia
2022	—	`conf`	Hierarchical Brain Embedding Using Explainable Graph Learning. ISBI Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan
2022	J	`jnl`	How Many Data Are Needed for Robust Learning? CoRR Hongyang Zhang, Yihan Wu, Heng Huang
2022	A*	`conf`	Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. KDD Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang
2022	—	`conf`	Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. ECCV (21) Alireza Ganjdanesh, Shangqian Gao, Heng Huang
2022	J	`jnl`	Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. CoRR Alireza Ganjdanesh, Shangqian Gao, Heng Huang
2022	J	`jnl`	Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyuan Dang, Xiang Li, Bin Gu, Cheng Deng, Heng Huang
2022	A*	`conf`	Learning Universal Adversarial Perturbation by Adversarial Example. AAAI Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang
2022	J	`jnl`	Learning multi-scale synergic discriminative features for prostate image segmentation. Pattern Recognit. Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia
2022	J	`jnl`	Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction. CoRR Junyi Li, Feihu Huang, Heng Huang
2022	A*	`conf`	MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. NeurIPS Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang
2022	B	`conf`	Multi-modal Genotype and Phenotype Mutual Learning to Enhance Single-Modal Input Based Longitudinal Outcome Prediction. RECOMB Alireza Ganjdanesh, Jipeng Zhang, Wei Chen, Heng Huang
2022	J	`jnl`	Multimodal Genotype and Phenotype Data Integration to Improve Partial Data-Based Longitudinal Prediction. J. Comput. Biol. Alireza Ganjdanesh, Jipeng Zhang, Sarah Yan, Wei Chen, Heng Huang
2022	A*	`conf`	Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning. CVPR Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang
2022	A*	`conf`	On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum. ICML Hongchang Gao, Junyi Li, Heng Huang
2022	Misc	`conf`	Out-Clinic Pulmonary Disease Evaluation via Acoustic Sensing and Multi-Task Learning on Commodity Smartphones. SenSys Xiangyu Yin, Kai Huang, Erick Forno, Wei Chen, Heng Huang, Wei Gao
2022	—	`conf`	Predicting Spatio-Temporal Human Brain Response Using fMRI. MICCAI (1) Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
2022	J	`jnl`	Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. IEEE Trans. Neural Networks Learn. Syst. Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang
2022	—	`conf`	Recover Fair Deep Classification Models via Altering Pre-trained Structure. ECCV (13) Yanfu Zhang, Shangqian Gao, Heng Huang
2022	A*	`conf`	RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval. ICML Yihan Wu, Hongyang Zhang, Heng Huang
2022	J	`jnl`	RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval. CoRR Yihan Wu, Hongyang Zhang, Heng Huang
2022	—	`conf`	Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. MICCAI (1) Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
2022	A*	`conf`	Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. WWW Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang
2022	J	`jnl`	Scaling Up Generalized Kernel Methods. IEEE Trans. Pattern Anal. Mach. Intell. Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang
2022	A*	`conf`	Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. ICDM Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang
2022	J	`jnl`	Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond. CoRR Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Tom Weidong Cai
2022	A	`conf`	Towards Fairer Classifier via True Fairness Score Path. CIKM Bin Gu, Zhou Zhai, Xiang Li, Heng Huang
2022	J	`jnl`	Towards Robust Dataset Learning. CoRR Yihan Wu, Xinda Li, Florian Kerschbaum, Heng Huang, Hongyang Zhang
2022	J	`jnl`	Towards bi-directional skip connections in encoder-decoder architectures and beyond. Medical Image Anal. Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai
2022	J	`jnl`	Wavelet-Based Dual Recursive Network for Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. Jingwei Xin, Jie Li, Xinrui Jiang, Nannan Wang, Heng Huang, Xinbo Gao
2021	A*	`conf`	A Faster Decentralized Algorithm for Nonconvex Minimax Problems. NeurIPS Wenhan Xian, Feihu Huang, Yanfu Zhang, Heng Huang
2021	J	`jnl`	A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. CoRR Junyi Li, Bin Gu, Heng Huang
2021	J	`jnl`	A New Framework for Variance-Reduced Hamiltonian Monte Carlo. CoRR Zhengmian Hu, Feihu Huang, Heng Huang
2021	J	`jnl`	AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization. CoRR Feihu Huang, Heng Huang
2021	J	`jnl`	Adaptive Hierarchical Similarity Metric Learning with Noisy Labels. CoRR Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang
2021	A*	`conf`	Adversarial Attack on Deep Cross-Modal Hamming Retrieval. ICCV Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang
2021	J	`jnl`	An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization. CoRR Xiyuan Wei, Bin Gu, Heng Huang
2021	A*	`conf`	AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. KDD Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang
2021	J	`jnl`	AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. CoRR Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang
2021	J	`jnl`	BiAdam: Fast Adaptive Bilevel Optimization Methods. CoRR Feihu Huang, Heng Huang
2021	—	`conf`	BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. MICCAI (1) Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai
2021	J	`jnl`	BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. CoRR Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai
2021	J	`jnl`	Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity. J. Mach. Learn. Res. Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, Cheng Deng, Heng Huang
2021	J	`jnl`	Blind Image Clustering for Camera Source Identification via Row-Sparsity Optimization. IEEE Trans. Multim. Xiang Jiang, Shikui Wei, Ting Liu, Ruizhen Zhao, Yao Zhao, Heng Huang
2021	J	`jnl`	Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan
2021	J	`jnl`	Bregman Gradient Policy Optimization. CoRR Feihu Huang, Shangqian Gao, Heng Huang
2021	J	`jnl`	CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. Neural Networks Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
2021	A*	`conf`	Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning. AAAI Wenhan Xian, Feihu Huang, Heng Huang
2021	J	`jnl`	Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning. CoRR Feihu Huang, Junyi Li, Heng Huang
2021	J	`jnl`	DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. CoRR Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai
2021	J	`jnl`	Data Augmentation for Object Detection via Differentiable Neural Rendering. CoRR Guanghan Ning, Guang Chen, Chaowei Tan, Si Luo, Liefeng Bo, Heng Huang
2021	J	`jnl`	Deep Large-Scale Multitask Learning Network for Gene Expression Inference. J. Comput. Biol. Kamran Ghasedi Dizaji, Wei Chen, Heng Huang
2021	A	`conf`	Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. CIKM Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang
2021	—	`conf`	Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. MICCAI (7) Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang
2021	J	`jnl`	Double Momentum SGD for Federated Learning. CoRR An Xu, Heng Huang
2021	J	`jnl`	Doubly Contrastive Deep Clustering. CoRR Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang
2021	J	`jnl`	Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. Bin Gu, Zhou Zhai, Cheng Deng, Heng Huang
2021	A*	`conf`	Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems. NeurIPS Feihu Huang, Xidong Wu, Heng Huang
2021	J	`jnl`	Enhanced Bilevel Optimization via Bregman Distance. CoRR Feihu Huang, Heng Huang
2021	A*	`conf`	Exploration and Estimation for Model Compression. ICCV Yanfu Zhang, Shangqian Gao, Heng Huang
2021	A*	`conf`	Fast Training Method for Stochastic Compositional Optimization Problems. NeurIPS Hongchang Gao, Heng Huang
2021	A	`conf`	Faster Stochastic Second Order Method for Large-Scale Machine Learning Models. SDM Hongchang Gao, Heng Huang
2021	J	`jnl`	Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform. CoRR Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen
2021	A*	`conf`	Finding Age Path of Self-Paced Learning. ICDM Bin Gu, Zhou Zhai, Xiang Li, Heng Huang
2021	—	`conf`	HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging. BrainLes@MICCAI (2) Haozhe Jia, Chao Bai, Weidong Cai, Heng Huang, Yong Xia
2021	J	`jnl`	Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions. IEEE Trans. Biomed. Eng. Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Li Shen, Heng Huang
2021	—	`conf`	Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. BIBM Mansu Kim, Jaesik Kim, Jeffrey Qu, Heng Huang, Qi Long, Kyung-Ah Sohn, Dokyoon Kim, Li Shen
2021	A*	`conf`	Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. AAAI Zhouyuan Huo, Bin Gu, Heng Huang
2021	A*	`conf`	Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding. ICCV Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang
2021	J	`jnl`	Learning Sampling Policy for Faster Derivative Free Optimization. CoRR Zhou Zhai, Bin Gu, Heng Huang
2021	A*	`conf`	Nearest Neighbor Matching for Deep Clustering. CVPR Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang
2021	A*	`conf`	Network Pruning via Performance Maximization. CVPR Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang
2021	J	`jnl`	Non-Greedy L21-Norm Maximization for Principal Component Analysis. IEEE Trans. Image Process. Feiping Nie, Lai Tian, Heng Huang, Chris Ding
2021	A*	`conf`	On the Convergence of Communication-Efficient Local SGD for Federated Learning. AAAI Hongchang Gao, An Xu, Heng Huang
2021	A*	`conf`	On the Random Conjugate Kernel and Neural Tangent Kernel. ICML Zhengmian Hu, Heng Huang
2021	A*	`conf`	Optimal Underdamped Langevin MCMC Method. NeurIPS Zhengmian Hu, Feihu Huang, Heng Huang
2021	J	`jnl`	Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm. CoRR Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, Heng Huang
2021	J	`jnl`	PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images. IEEE Trans. Medical Imaging Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai
2021	J	`jnl`	PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2021	J	`jnl`	Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images. IEEE Trans. Image Process. Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai
2021	—	`conf`	Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. MICCAI (5) Giacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu
2021	A*	`conf`	SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. NeurIPS Feihu Huang, Junyi Li, Heng Huang
2021	J	`jnl`	SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients. CoRR Feihu Huang, Junyi Li, Heng Huang
2021	J	`jnl`	Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. IEEE Trans. Neural Networks Learn. Syst. Bin Gu, Xiang Geng, Xiang Li, Wanli Shi, Guansheng Zheng, Cheng Deng, Heng Huang
2021	A*	`conf`	Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. AAAI Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang
2021	J	`jnl`	Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. CoRR Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang
2021	J	`jnl`	Sparse Modal Additive Model. IEEE Trans. Neural Networks Learn. Syst. Hong Chen, Yingjie Wang, Feng Zheng, Cheng Deng, Heng Huang
2021	A*	`conf`	Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. AAAI An Xu, Zhouyuan Huo, Heng Huang
2021	A	`conf`	SwitchFlow: preemptive multitasking for deep learning. Middleware Xiaofeng Wu, Jia Rao, Wei Chen, Hang Huang, Chris H. Q. Ding, Heng Huang
2021	J	`jnl`	Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. Mach. Learn. Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang
2021	A*	`conf`	Unified Fairness from Data to Learning Algorithm. ICDM Yanfu Zhang, Lei Luo, Heng Huang
2021	A*	`conf`	Unsupervised Hyperbolic Metric Learning. CVPR Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang
2020	J	`jnl`	3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images. IEEE Trans. Medical Imaging Haozhe Jia, Yong Xia, Yang Song, Donghao Zhang, Heng Huang, Yanning Zhang, Weidong Cai
2020	—	`conf`	A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network. ISBI Yurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan
2020	A*	`conf`	A Heterogeneous Spatiotemporal Network for Lightning Prediction. ICDM Yangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Wen Yao, Dong Zheng, Weitao Lyu, Heng Huang
2020	J	`jnl`	A Unified q-Memorization Framework for Asynchronous Stochastic Optimization. J. Mach. Learn. Res. Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang
2020	J	`jnl`	Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization. CoRR Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
2020	J	`jnl`	Adaptive Serverless Learning. CoRR Hongchang Gao, Heng Huang
2020	A*	`conf`	Adversarial Nonnegative Matrix Factorization. ICML Lei Luo, Yanfu Zhang, Heng Huang
2020	—	`conf`	BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. MICCAI (1) Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai
2020	J	`jnl`	BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. CoRR Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai
2020	—	`conf`	Binarized Neural Network for Single Image Super Resolution. ECCV (4) Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao
2020	A*	`conf`	Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? ICML Hongchang Gao, Heng Huang
2020	J	`jnl`	Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images. CoRR Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai
2020	J	`jnl`	CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning. CoRR Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
2020	B	`conf`	Deep Large-Scale Multi-task Learning Network for Gene Expression Inference. RECOMB Kamran Ghasedi Dizaji, Wei Chen, Heng Huang
2020	J	`jnl`	Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. Yujie Li, Heng Huang, Hanbo Chen, Tianming Liu
2020	J	`jnl`	Deep-learning-based prediction of late age-related macular degeneration progression. Nat. Mach. Intell. Qi Yan, Daniel E. Weeks, Hongyi Xin, Anand Swaroop, Emily Y. Chew, Heng Huang, Ying Ding, Wei Chen
2020	A*	`conf`	Discrete Model Compression With Resource Constraint for Deep Neural Networks. CVPR Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang
2020	Misc	`conf`	Dual-Stage Domain Adaptive Mitosis Detection for Histopathology Images. DICTA Veena Dodballapur, Yang Song, Heng Huang, Mei Chen, Wojciech Chrzanowski, Tom Weidong Cai
2020	J	`jnl`	Exploit Where Optimizer Explores via Residuals. CoRR An Xu, Zhouyuan Huo, Heng Huang
2020	A*	`conf`	Fast OSCAR and OWL Regression via Safe Screening Rules. ICML Runxue Bao, Bin Gu, Heng Huang
2020	J	`jnl`	Fast OSCAR and OWL Regression via Safe Screening Rules. CoRR Runxue Bao, Bin Gu, Heng Huang
2020	J	`jnl`	Faster On-Device Training Using New Federated Momentum Algorithm. CoRR Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin, Heng Huang
2020	A*	`conf`	Faster Secure Data Mining via Distributed Homomorphic Encryption. KDD Junyi Li, Heng Huang
2020	J	`jnl`	Faster Secure Data Mining via Distributed Homomorphic Encryption. CoRR Junyi Li, Heng Huang
2020	J	`jnl`	Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. CoRR Feihu Huang, Songcan Chen, Heng Huang
2020	A*	`conf`	Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. KDD Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang
2020	J	`jnl`	Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. CoRR Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang
2020	J	`jnl`	Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
2020	J	`jnl`	Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold. CoRR Feihu Huang, Shangqian Gao, Heng Huang
2020	—	`conf`	H BrainLes@MICCAI (2) Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia
2020	J	`jnl`	H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. CoRR Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia
2020	J	`jnl`	Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu
2020	J	`jnl`	Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee. CoRR Junyi Li, Bin Gu, Heng Huang
2020	J	`jnl`	Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction. IEEE Trans. Medical Imaging Lodewijk Brand, Kai Nichols, Hua Wang, Li Shen, Heng Huang
2020	J	`jnl`	Large Batch Training Does Not Need Warmup. CoRR Zhouyuan Huo, Bin Gu, Heng Huang
2020	—	`ch.`	Large-Scale Kernel Method for Vertical Federated Learning. Federated Learning Zhiyuan Dang, Bin Gu, Heng Huang
2020	—	`conf`	Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. MICCAI (4) Haozhe Jia, Yong Xia, Weidong Cai, Heng Huang
2020	—	`conf`	LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. CVPR Workshops Guanghan Ning, Jian Pei, Heng Huang
2020	J	`jnl`	Local-Density Subspace Distributed Clustering for High-Dimensional Data. IEEE Trans. Parallel Distributed Syst. Yangli-ao Geng, Qingyong Li, Mingfei Liang, Chong-Yung Chi, Juan Tan, Heng Huang
2020	J	`jnl`	Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu
2020	A*	`conf`	Momentum-Based Policy Gradient Methods. ICML Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
2020	J	`jnl`	Momentum-Based Policy Gradient Methods. CoRR Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
2020	A*	`conf`	Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. CVPR Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang
2020	A*	`conf`	On the Acceleration of Deep Learning Model Parallelism With Staleness. CVPR An Xu, Zhouyuan Huo, Heng Huang
2020	J	`jnl`	Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training. CoRR An Xu, Zhouyuan Huo, Heng Huang
2020	J	`jnl`	Periodic Stochastic Gradient Descent with Momentum for Decentralized Training. CoRR Hongchang Gao, Heng Huang
2020	Misc	`conf`	Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. PSB Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen
2020	—	`conf`	Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. MICCAI (1) Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang
2020	J	`jnl`	Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. CoRR Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang
2020	A*	`conf`	Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. AAAI Wanli Shi, Bin Gu, Xiang Li, Heng Huang
2020	J	`jnl`	Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model. IEEE Trans. Neural Networks Learn. Syst. Kamran Ghasedi Dizaji, Hongchang Gao, Yanhua Yang, Heng Huang, Cheng Deng
2020	A*	`conf`	Safe Sample Screening for Robust Support Vector Machine. AAAI Zhou Zhai, Bin Gu, Xiang Li, Heng Huang
2020	A*	`conf`	Sinkhorn Regression. IJCAI Lei Luo, Jian Pei, Heng Huang
2020	A*	`conf`	Sparse Shrunk Additive Models. ICML Guodong Liu, Hong Chen, Heng Huang
2020	A*	`conf`	Towards Transferable Targeted Attack. CVPR Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang
2020	J	`jnl`	Training Faster with Compressed Gradient. CoRR An Xu, Zhouyuan Huo, Heng Huang
2020	A*	`conf`	Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. CVPR Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai
2020	J	`jnl`	Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting. CoRR Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai
2019	J	`jnl`	An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. CoRR Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang
2019	J	`jnl`	Approaching Machine Learning Fairness through Adversarial Network. CoRR Xiaoqian Wang, Heng Huang
2019	A*	`conf`	Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization. IJCAI Bin Gu, Wenhan Xian, Heng Huang
2019	A*	`conf`	Balanced Self-Paced Learning for Generative Adversarial Clustering Network. CVPR Kamran Ghasedi, Xiaoqian Wang, Cheng Deng, Heng Huang
2019	A*	`conf`	Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss. IJCAI Feng Zheng, Cheng Deng, Heng Huang
2019	—	`conf`	Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study. MBIA/MFCA@MICCAI Yanfu Zhang, Liang Zhan, Paul M. Thompson, Heng Huang
2019	—	`conf`	Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function. MICCAI (5) Igor Fortel, Mitchell Butler, Laura E. Korthauer, Liang Zhan, Olusola Ajilore, Ira Driscoll, Anastasios Sidiropoulos, Yanfu Zhang, Lei Guo, Heng Huang, Dan Schonfeld, Alex D. Leow
2019	—	`conf`	Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding. MBIA/MFCA@MICCAI Haoteng Tang, Lei Guo, Emily L. Dennis, Paul M. Thompson, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan
2019	A*	`conf`	Conditional Random Field Enhanced Graph Convolutional Neural Networks. KDD Hongchang Gao, Jian Pei, Heng Huang
2019	A*	`conf`	Cross Domain Model Compression by Structurally Weight Sharing. CVPR Shangqian Gao, Cheng Deng, Heng Huang
2019	A*	`conf`	Curvilinear Distance Metric Learning. NeurIPS Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang
2019	J	`jnl`	Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci. IEEE Trans. Biomed. Eng. Shu Zhang, Huan Liu, Heng Huang, Yu Zhao, Xi Jiang, Brook Bowers, Lei Guo, Xiaoping Hu, Mar Sanchez, Tianming Liu
2019	A*	`conf`	Demystifying Dropout. ICML Hongchang Gao, Jian Pei, Heng Huang
2019	J	`jnl`	Discovering hierarchical common brain networks via multimodal deep belief network. Medical Image Anal. Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu
2019	J	`jnl`	Diversely Stale Parameters for Efficient Training of CNNs. CoRR An Xu, Zhouyuan Huo, Heng Huang
2019	A*	`conf`	Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. ICDM Runxue Bao, Bin Gu, Heng Huang
2019	—	`conf`	Explore the Hierarchical Auditory Information Processing Via Deep Convolutional Autoencoder. ISBI Liting Wang, Xintao Hu, Huan Liu, Heng Huang, Lei Guo, Tianming Liu
2019	—	`conf`	Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. ISBI Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang, Qinglin Dong, Lei Guo, Xianqiao Wang, Tianming Liu
2019	J	`jnl`	Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics. Neurocomputing Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu
2019	A*	`conf`	Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. AAAI Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang
2019	J	`jnl`	Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. CoRR Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang
2019	A*	`conf`	Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. ICML Feihu Huang, Songcan Chen, Heng Huang
2019	—	`conf`	HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. MICCAI (2) Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia
2019	J	`jnl`	Harmonic Mean Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. Shuai Zheng, Chris Ding, Feiping Nie, Heng Huang
2019	A*	`conf`	Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. CVPR Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang
2019	J	`jnl`	Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. CoRR Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang
2019	—	`conf`	Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome. ISBI Lei Guo, Haoteng Tang, Qi Wang, Emily L. Dennis, Dajiang Zhu, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan
2019	—	`conf`	Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions. MICCAI (4) Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Heng Huang, Li Shen
2019	—	`conf`	Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. MICCAI (4) Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang
2019	—	`conf`	Large-Scale Machine Learning Algorithms for Biomedical Data Science. BCB Heng Huang
2019	J	`jnl`	LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. CoRR Guanghan Ning, Heng Huang
2019	—	`conf`	Mask-Driven Mitosis Detection In Histopathology Images. ISBI Veena Dodballapur, Yang Song, Heng Huang, Mei Chen, Wojciech Chrzanowski, Weidong Cai
2019	A*	`conf`	Multi-Horizon Time Series Forecasting with Temporal Attention Learning. KDD Chenyou Fan, Yuze Zhang, Yi Pan, Xiaoyue Li, Chi Zhang, Rong Yuan, Di Wu, Wensheng Wang, Jian Pei, Heng Huang
2019	—	`ed.`	Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings MBIA/MFCA@MICCAI Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang C. Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer
2019	—	`conf`	Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing. CVPR Workshops Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Heng Huang, Mei Chen, Hanchuan Peng, Weidong Cai
2019	J	`jnl`	Nesting-structured nuclear norm minimization for spatially correlated matrix variate. Pattern Recognit. Lei Luo, Jian Yang, Yigong Zhang, Yong Xu, Heng Huang
2019	—	`conf`	New Graph-Blind Convolutional Network for Brain Connectome Data Analysis. IPMI Yanfu Zhang, Heng Huang
2019	J	`jnl`	Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity. CoRR Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
2019	A*	`conf`	Orthogonality-Promoting Dictionary Learning via Bayesian Inference. AAAI Lei Luo, Jie Xu, Cheng Deng, Heng Huang
2019	A*	`conf`	Ouroboros: On Accelerating Training of Transformer-Based Language Models. NeurIPS Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin
2019	J	`jnl`	Ouroboros: On Accelerating Training of Transformer-Based Language Models. CoRR Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin
2019	A*	`conf`	ProGAN: Network Embedding via Proximity Generative Adversarial Network. KDD Hongchang Gao, Jian Pei, Heng Huang
2019	J	`jnl`	Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. CoRR Wanli Shi, Bin Gu, Xiang Li, Heng Huang
2019	A*	`conf`	Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. IJCAI Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang
2019	J	`jnl`	Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. CoRR Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang
2019	J	`jnl`	Region and Object based Panoptic Image Synthesis through Conditional GANs. CoRR Heng Wang, Donghao Zhang, Yang Song, Heng Huang, Mei Chen, Weidong Cai
2019	J	`jnl`	Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. CoRR Feiping Nie, Hua Wang, Zheng Wang, Heng Huang
2019	A*	`conf`	Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. AAAI Lei Luo, Jie Xu, Cheng Deng, Heng Huang
2019	J	`jnl`	Safe Sample Screening for Robust Support Vector Machine. CoRR Zhou Zhai, Bin Gu, Xiang Li, Heng Huang
2019	A*	`conf`	Scalable Semi-Supervised SVM via Triply Stochastic Gradients. IJCAI Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang
2019	J	`jnl`	Scalable Semi-Supervised SVM via Triply Stochastic Gradients. CoRR Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang
2019	A*	`conf`	Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. AAAI Bin Gu, Zhouyuan Huo, Heng Huang
2019	—	`conf`	Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. IPMI Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu
2019	J	`jnl`	Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation. IEEE Trans. Knowl. Data Eng. Wenhao Jiang, Hongchang Gao, Wei Lu, Wei Liu, Fu-Lai Chung, Heng Huang
2019	J	`jnl`	Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining. CoRR Zhouyuan Huo, Heng Huang
2019	A*	`conf`	Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning. KDD Shuyang Yu, Bin Gu, Kunpeng Ning, Haiyan Chen, Jian Pei, Heng Huang
2019	A*	`conf`	Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. IJCAI Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang
2019	J	`jnl`	Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. CoRR Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang
2018	J	`jnl`	3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation. CoRR Haozhe Jia, Yang Song, Donghao Zhang, Heng Huang, Dagan Feng, Michael J. Fulham, Yong Xia, Weidong Cai
2018	A*	`conf`	Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. AAAI Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang
2018	A	`conf`	Asynchronous Doubly Stochastic Group Regularized Learning. AISTATS Bin Gu, Zhouyuan Huo, Heng Huang
2018	A*	`conf`	Asynchronous Doubly Stochastic Sparse Kernel Learning. AAAI Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang
2018	A*	`conf`	Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. ICDM Zhouyuan Huo, Xue Jiang, Heng Huang
2018	A*	`conf`	Bilevel Distance Metric Learning for Robust Image Recognition. NeurIPS Jie Xu, Lei Luo, Cheng Deng, Heng Huang
2018	J	`jnl`	Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression. Neuroinformatics Xiaoqian Wang, Xiantong Zhen, Quanzheng Li, Dinggang Shen, Heng Huang
2018	J	`jnl`	Conditional generative adversarial network for gene expression inference. Bioinform. Xiaoqian Wang, Kamran Ghasedi Dizaji, Heng Huang
2018	J	`jnl`	Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts. Neuroinformatics Shijie Zhao, Junwei Han, Xi Jiang, Heng Huang, Huan Liu, Jinglei Lv, Lei Guo, Tianming Liu
2018	A*	`conf`	Decoupled Parallel Backpropagation with Convergence Guarantee. ICML Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang
2018	J	`jnl`	Decoupled Parallel Backpropagation with Convergence Guarantee. CoRR Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang
2018	A*	`conf`	Deep Attributed Network Embedding. IJCAI Hongchang Gao, Heng Huang
2018	A*	`conf`	Direct Hashing Without Pseudo-Labels. AAAI Feng Zheng, Heng Huang
2018	A*	`conf`	Direct Shape Regression Networks for End-to-End Face Alignment. CVPR Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang
2018	A*	`conf`	Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding. IJCAI Feng Zheng, Xin Miao, Heng Huang
2018	A*	`conf`	Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. ICML Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang
2018	Misc	`conf`	Genotype-Phenotype association study via new multi-task learning model. PSB Zhouyuan Huo, Dinggang Shen, Heng Huang
2018	J	`jnl`	Heavy-Tailed Noise Suppression and Derivative Wavelet Scalogram for Detecting DNA Copy Number Aberrations. IEEE ACM Trans. Comput. Biol. Bioinform. Nha Nguyen, An P. N. Vo, Haibin Sun, Heng Huang
2018	A*	`conf`	Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. AAAI Bin Gu, De Wang, Zhouyuan Huo, Heng Huang
2018	A*	`conf`	Joint Generative Moment-Matching Network for Learning Structural Latent Code. IJCAI Hongchang Gao, Heng Huang
2018	A	`conf`	Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd Labels. WSDM Kamran Ghasedi Dizaji, Yanhua Yang, Heng Huang
2018	—	`conf`	Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. MICCAI (1) Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2018	—	`conf`	Large Kernel Refine Fusion Net for Neuron Membrane Segmentation. CVPR Workshops Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Heng Huang, Mei Chen, Weidong Cai
2018	—	`conf`	Latent source mining of fMRI data via deep belief network. ISBI Lei Li, Xintao Hu, Heng Huang, Chunlin He, Liting Wang, Junwei Han, Lei Quo, Wei Zhang, Tianming Liu
2018	J	`jnl`	Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model. J. Comput. Biol. Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2018	A*	`conf`	Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning. AAAI Lei Luo, Heng Huang
2018	—	`conf`	Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemes. ISBI Zhe Guo, Xiang Li, Heng Huang, Ning Quo, Quanzheng Li
2018	J	`jnl`	Modeling Task fMRI Data Via Deep Convolutional Autoencoder. IEEE Trans. Medical Imaging Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu
2018	—	`conf`	Modeling task fMRI data via mixture of deep expert networks. ISBI Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu
2018	A*	`conf`	Multi-Level Metric Learning via Smoothed Wasserstein Distance. IJCAI Jie Xu, Lei Luo, Cheng Deng, Heng Huang
2018	J	`jnl`	Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells. IEEE Trans. Medical Imaging Afaf Tareef, Yang Song, Heng Huang, Dagan Feng, Mei Chen, Yue Wang, Weidong Cai
2018	A*	`conf`	New Balanced Active Learning Model and Optimization Algorithm. IJCAI Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang
2018	A*	`conf`	New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. KDD Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang
2018	A*	`conf`	New Robust Metric Learning Model Using Maximum Correntropy Criterion. KDD Jie Xu, Lei Luo, Cheng Deng, Heng Huang
2018	J	`jnl`	Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification. IEEE Trans. Neural Networks Learn. Syst. Lei Luo, Jian Yang, Bob Zhang, Jielin Jiang, Heng Huang
2018	—	`conf`	Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. MICCAI (2) Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai
2018	J	`jnl`	Quantitative trait loci identification for brain endophenotypes via new additive model with random networks. Bioinform. Xiaoqian Wang, Hong Chen, Jingwen Yan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2018	A*	`conf`	Self-Paced Network Embedding. KDD Hongchang Gao, Heng Huang
2018	A*	`conf`	Semi-Supervised Generative Adversarial Network for Gene Expression Inference. KDD Kamran Ghasedi Dizaji, Xiaoqian Wang, Heng Huang
2018	A*	`conf`	Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model. AAAI Kamran Ghasedi Dizaji, Heng Huang
2018	Misc	`conf`	Session introduction. PSB Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang
2018	A*	`conf`	Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models. IJCAI Hongchang Gao, Heng Huang
2018	—	`conf`	Temporal Correlation Structure Learning for MCI Conversion Prediction. MICCAI (3) Xiaoqian Wang, Weidong Cai, Dinggang Shen, Heng Huang
2018	A*	`conf`	Training Neural Networks Using Features Replay. NeurIPS Zhouyuan Huo, Bin Gu, Heng Huang
2018	J	`jnl`	Training Neural Networks Using Features Replay. CoRR Zhouyuan Huo, Bin Gu, Heng Huang
2018	A*	`conf`	Unsupervised Deep Generative Adversarial Hashing Network. CVPR Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng, Heng Huang
2017	J	`jnl`	Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization. CoRR Zhouyuan Huo, Bin Gu, Heng Huang
2017	A*	`conf`	Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. AAAI Zhouyuan Huo, Heng Huang
2017	J	`jnl`	Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation. Neurocomputing Afaf Tareef, Yang Song, Weidong Cai, Heng Huang, Hang Chang, Yue Wang, Michael J. Fulham, Dagan Feng, Mei Chen
2017	A*	`conf`	Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. ICCV Kamran Ghasedi Dizaji, Amirhossein Herandi, Cheng Deng, Weidong Cai, Heng Huang
2017	J	`jnl`	Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. CoRR Kamran Ghasedi Dizaji, Amirhossein Herandi, Heng Huang
2017	J	`jnl`	Dual discriminative local coding for tissue aging analysis. Medical Image Anal. Yang Song, Qing Li, Fan Zhang, Heng Huang, Dagan Feng, Yue Wang, Mei Chen, Weidong Cai
2017	J	`jnl`	Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics. CoRR Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu
2017	J	`jnl`	From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. Hua Wang, Lin Yan, Heng Huang, Chris H. Q. Ding
2017	—	`conf`	Group Sparse Additive Machine. NIPS Hong Chen, Xiaoqian Wang, Cheng Deng, Heng Huang
2017	A*	`conf`	Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping. KDD Bin Gu, Guodong Liu, Heng Huang
2017	A*	`conf`	Joint Capped Norms Minimization for Robust Matrix Recovery. IJCAI Feiping Nie, Zhouyuan Huo, Heng Huang
2017	—	`conf`	Learning A Structured Optimal Bipartite Graph for Co-Clustering. NIPS Feiping Nie, Xiaoqian Wang, Cheng Deng, Heng Huang
2017	A*	`conf`	Local Centroids Structured Non-Negative Matrix Factorization. AAAI Hongchang Gao, Feiping Nie, Heng Huang
2017	A*	`conf`	Locally-Transferred Fisher Vectors for Texture Classification. ICCV Yang Song, Fan Zhang, Qing Li, Heng Huang, Lauren J. O'Donnell, Weidong Cai
2017	B	`conf`	Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. RECOMB Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2017	J	`jnl`	Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification. IEEE Trans. Medical Imaging Yang Song, Qing Li, Heng Huang, Dagan Feng, Mei Chen, Weidong Cai
2017	J	`jnl`	Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers. IEEE Trans. Big Data Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen
2017	J	`jnl`	Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes. CoRR Zhe Guo, Xiang Li, Heng Huang, Ning Guo, Quanzheng Li
2017	—	`conf`	Modeling Task fMRI Data via Deep Convolutional Autoencoder. IPMI Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu
2017	A*	`conf`	Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. IJCAI Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang
2017	A*	`conf`	Multiclass Capped ℓp-Norm SVM for Robust Classifications. AAAI Feiping Nie, Xiaoqian Wang, Heng Huang
2017	J	`jnl`	Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling. Neurocomputing Afaf Tareef, Yang Song, Heng Huang, Yue Wang, Dagan Feng, Mei Chen, Weidong Cai
2017	A*	`conf`	Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. IJCAI Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang
2017	—	`conf`	Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model. IPMI Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2017	J	`jnl`	Refined Spectral Clustering via Embedded Label Propagation. Neural Comput. Yan-shuo Chang, Feiping Nie, Zhihui Li, Xiaojun Chang, Heng Huang
2017	—	`conf`	Regularized Modal Regression with Applications in Cognitive Impairment Prediction. NIPS Xiaoqian Wang, Hong Chen, Weidong Cai, Dinggang Shen, Heng Huang
2017	A*	`conf`	Semi-Supervised Classifications via Elastic and Robust Embedding. AAAI Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang
2017	—	`conf`	Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification. MICCAI (3) Yang Song, Hang Chang, Heng Huang, Weidong Cai
2017	A*	`conf`	Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning. IJCAI Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-Lai Chung, Heng Huang
2017	A*	`conf`	Video Recovery via Learning Variation and Consistency of Images. AAAI Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang
2016	J	`jnl`	A Closed Form Solution to Multi-View Low-Rank Regression. CoRR Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang
2016	B	`conf`	A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. ICTAI Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang
2016	J	`jnl`	A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. CoRR Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang
2016	J	`jnl`	Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction. CoRR Bin Gu, Zhouyuan Huo, Heng Huang
2016	J	`jnl`	Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization. CoRR Zhouyuan Huo, Heng Huang
2016	J	`jnl`	Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors. BMC Bioinform. Yang Song, Weidong Cai, Heng Huang, Dagan Feng, Yue Wang, Mei Chen
2016	J	`jnl`	Clinical Information Extraction via Convolutional Neural Network. CoRR Peng Li, Heng Huang
2016	J	`jnl`	Convex Sparse PCA for Unsupervised Feature Learning. ACM Trans. Knowl. Discov. Data Xiaojun Chang, Feiping Nie, Yi Yang, Chengqi Zhang, Heng Huang
2016	J	`jnl`	Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction. CoRR Zhouyuan Huo, Bin Gu, Heng Huang
2016	J	`jnl`	Distributed Asynchronous Stochastic Dual Coordinate Ascent without Duality. CoRR Zhouyuan Huo, Heng Huang
2016	A*	`conf`	Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. AAAI Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang
2016	J	`jnl`	Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding. CoRR Peng Li, Heng Huang
2016	—	`conf`	Error Analysis of Generalized Nyström Kernel Regression. NIPS Hong Chen, Haifeng Xia, Heng Huang, Weidong Cai
2016	A*	`conf`	Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering. IJCAI De Wang, Feiping Nie, Heng Huang
2016	—	`conf`	Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors. ECCV Workshops (1) Yang Song, Qing Li, Heng Huang, Dagan Feng, Mei Chen, Tom Weidong Cai
2016	J	`jnl`	Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization. CoRR Bin Gu, Zhouyuan Huo, Heng Huang
2016	—	`conf`	Latent source mining in FMRI data via deep neural network. ISBI Heng Huang, Xintao Hu, Junwei Han, Jinglei Lv, Nian Liu, Lei Guo, Tianming Liu
2016	A*	`conf`	Learning Task Relational Structure for Multi-task Feature Learning. ICDM De Wang, Feiping Nie, Heng Huang
2016	—	`conf`	New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. MICCAI (1) Zhouyuan Huo, Dinggang Shen, Heng Huang
2016	A*	`conf`	New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. ICDM Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang
2016	A*	`conf`	New Robust Clustering Model for Identifying Cancer Genome Landscapes. ICDM Hongchang Gao, Xiaoqian Wang, Heng Huang
2016	A*	`conf`	New l1-Norm Relaxations and Optimizations for Graph Clustering. AAAI Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang
2016	J	`jnl`	Non-Greedy L21-Norm Maximization for Principal Component Analysis. CoRR Feiping Nie, Heng Huang
2016	A*	`conf`	Optimal Discrete Matrix Completion. AAAI Zhouyuan Huo, Ji Liu, Heng Huang
2016	C	`conf`	Performance evaluation of two magnetic recovery circuits of forward converter. IAS Dongdong Ye, Dinghao Sun, Wei-Jen Lee, Heng Huang, Yang Zhang
2016	—	`conf`	Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease. MICCAI (1) Xiaoqian Wang, Dinggang Shen, Heng Huang
2016	A*	`conf`	Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm. KDD Zhouyuan Huo, Feiping Nie, Heng Huang
2016	A*	`conf`	Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix. KDD Xiaoqian Wang, Feiping Nie, Heng Huang
2016	—	`conf`	Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations. MICCAI (1) Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen
2016	J	`jnl`	Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2016	J	`jnl`	Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2016	A*	`conf`	Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint. IJCAI Feiping Nie, Heng Huang
2016	—	`conf`	Texture analysis of tissue aging using global and cluster constrained local coding. ISBI Yang Song, Weidong Cai, Fan Zhang, Heng Huang, David Dagan Feng, Yue Wang, Mei Chen
2016	A*	`conf`	The Constrained Laplacian Rank Algorithm for Graph-Based Clustering. AAAI Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang
2016	A*	`conf`	The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation. AAAI Wenhao Jiang, Hongchang Gao, Fu-Lai Chung, Heng Huang
2016	—	`conf`	UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports. SemEval@NAACL-HLT Peng Li, Heng Huang
2016	—	`conf`	UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation. SemEval@NAACL-HLT Peng Li, Heng Huang
2016	J	`jnl`	Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction. CoRR Bin Gu, Zhouyuan Huo, Heng Huang
2015	A*	`conf`	A Closed Form Solution to Multi-View Low-Rank Regression. AAAI Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang
2015	A*	`conf`	A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering. IJCAI Jin Huang, Feiping Nie, Heng Huang
2015	J	`jnl`	Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers. CoRR Wenhao Jiang, Feiping Nie, Korris Fu-Lai Chung, Heng Huang
2015	A*	`conf`	Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning. KDD Hongchang Gao, Lin Yan, Weidong Cai, Heng Huang
2015	—	`conf`	Bone texture characterization with fisher encoding of local descriptors. ISBI Yang Song, Weidong Cai, Fan Zhang, Heng Huang, Yun Zhou, David Dagan Feng
2015	J	`jnl`	Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. J. Comput. Biol. Hua Wang, Heng Huang, Chris H. Q. Ding
2015	A*	`conf`	Discriminative Unsupervised Dimensionality Reduction. IJCAI Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang
2015	C	`conf`	Factors that impact the accuracy of clustering based load forecasting. IAS Xin Wang, Wei-Jen Lee, Heng Huang, Robert Louis Szabados, David Yanshi Wang, Peter Van Olinda
2015	J	`jnl`	Feature Selection via Global Redundancy Minimization. IEEE Trans. Knowl. Data Eng. De Wang, Feiping Nie, Heng Huang
2015	A*	`conf`	Fusing subcategory probabilities for texture classification. CVPR Yang Song, Weidong Cai, Qing Li, Fan Zhang, David Dagan Feng, Heng Huang
2015	—	`conf`	GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2015	—	`conf`	Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. MICCAI (2) Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaquín Goñi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin, Li Shen, Heng Huang
2015	J	`jnl`	Joint Schatten p-norm and ℓ Knowl. Inf. Syst. Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2015	J	`jnl`	Large Margin Local Estimate With Applications to Medical Image Classification. IEEE Trans. Medical Imaging Yang Song, Tom Weidong Cai, Heng Huang, Yun Zhou, David Dagan Feng, Yue Wang, Michael J. Fulham, Mei Chen
2015	J	`jnl`	Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization. ACM Trans. Knowl. Discov. Data Hua Wang, Feiping Nie, Heng Huang
2015	A*	`conf`	Large-Scale Multi-View Spectral Clustering via Bipartite Graph. AAAI Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang
2015	A*	`conf`	Learning Robust Locality Preserving Projection via p-Order Minimization. AAAI Hua Wang, Feiping Nie, Heng Huang
2015	—	`conf`	Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears. ICONIP (1) Afaf Tareef, Yang Song, Weidong Cai, Heng Huang, Yue Wang, Dagan Feng, Mei Chen
2015	J	`jnl`	Locality-constrained Subcluster Representation Ensemble for lung image classification. Medical Image Anal. Yang Song, Tom Weidong Cai, Heng Huang, Yun Zhou, Yue Wang, David Dagan Feng
2015	A*	`conf`	Multi-view Subspace Clustering. ICCV Hongchang Gao, Feiping Nie, Xuelong Li, Heng Huang
2015	A	`conf`	Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF. CIKM Hongchang Gao, Feiping Nie, Tom Weidong Cai, Heng Huang
2015	A*	`conf`	Robust Dictionary Learning with Capped l1-Norm. IJCAI Wenhao Jiang, Feiping Nie, Heng Huang
2015	J	`jnl`	Sparse representation of whole-brain fMRI signals for identification of functional networks. Medical Image Anal. Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Shu Zhang, Xintao Hu, Junwei Han, Heng Huang, Jing Zhang, Lei Guo, Tianming Liu
2015	J	`jnl`	Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities. IEEE Trans. Smart Grid Franklin L. Quilumba, Wei-Jen Lee, Heng Huang, David Yanshi Wang, Robert L. Szabados
2015	A	`conf`	Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization. CIKM Peng Li, Tom Weidong Cai, Heng Huang
2014	A*	`conf`	A Convex Formulation for Semi-Supervised Multi-Label Feature Selection. AAAI Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang
2014	J	`jnl`	A Convex Sparse PCA for Feature Analysis. CoRR Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang
2014	—	`conf`	A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	J	`jnl`	A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Anal. Guorong Wu, Qian Wang, Daoqiang Zhang, Feiping Nie, Heng Huang, Dinggang Shen
2014	C	`conf`	An overview of AMI data preprocessing to enhance the performance of load forecasting. IAS Franklin L. Quilumba, Wei-Jen Lee, Heng Huang, David Yanshi Wang, Robert L. Szabados
2014	A*	`conf`	Clustering and projected clustering with adaptive neighbors. KDD Feiping Nie, Xiaoqian Wang, Heng Huang
2014	B	`conf`	Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. RECOMB Hua Wang, Heng Huang, Chris H. Q. Ding
2014	J	`jnl`	DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms. IEEE ACM Trans. Comput. Biol. Bioinform. Vangelis Metsis, Fillia Makedon, Dinggang Shen, Heng Huang
2014	J	`jnl`	Emotion Detection via Discriminant Laplacian Embedding. Univers. Access Inf. Soc. Hua Wang, Heng Huang, Fillia Makedon
2014	—	`conf`	Flexible Shift-Invariant Locality and Globality Preserving Projections. ECML/PKDD (2) Feiping Nie, Xiao Cai, Heng Huang
2014	A*	`conf`	Globally and Locally Consistent Unsupervised Projection. AAAI Hua Wang, Feiping Nie, Heng Huang
2014	—	`conf`	Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. MICCAI (3) De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang
2014	—	`conf`	Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning. ISBI Jingwen Yan, Heng Huang, Sungeun Kim, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	—	`conf`	Large Margin Aggregation of Local Estimates for Medical Image Classification. MICCAI (2) Yang Song, Tom Weidong Cai, Heng Huang, Yun Zhou, David Dagan Feng, Mei Chen
2014	A*	`conf`	Large-scale adaptive semi-supervised learning via unified inductive and transductive model. KDD De Wang, Feiping Nie, Heng Huang
2014	J	`jnl`	Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies. IEEE Trans. Medical Imaging Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Yun Zhou, Michael J. Fulham, David Dagan Feng
2014	A*	`conf`	Linear Time Solver for Primal SVM. ICML Feiping Nie, Yizhen Huang, Heng Huang
2014	A*	`conf`	Low-Rank Tensor Completion with Spatio-Temporal Consistency. AAAI Hua Wang, Feiping Nie, Heng Huang
2014	J	`jnl`	Lung Nodule Classification With Multilevel Patch-Based Context Analysis. IEEE Trans. Biomed. Eng. Fan Zhang, Yang Song, Weidong Cai, Min-Zhao Lee, Yun Zhou, Heng Huang, Shimin Shan, Michael J. Fulham, David Dagan Feng
2014	A*	`conf`	Optimal Mean Robust Principal Component Analysis. ICML Feiping Nie, Jianjun Yuan, Heng Huang
2014	A*	`conf`	Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization. ICML Hua Wang, Feiping Nie, Heng Huang
2014	J	`jnl`	Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization. Pers. Ubiquitous Comput. Hua Wang, Heng Huang, Monica Basco, Molly Lopez, Fillia Makedon
2014	J	`jnl`	Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	—	`conf`	Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK). ECML/PKDD (3) De Wang, Feiping Nie, Heng Huang
2014	A*	`conf`	Video Motion Segmentation Using New Adaptive Manifold Denoising Model. CVPR Dijun Luo, Heng Huang
2013	—	`conf`	A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. MICCAI (2) Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen
2013	A*	`conf`	Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. IJCAI Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2013	A*	`conf`	Early Active Learning via Robust Representation and Structured Sparsity. IJCAI Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2013	A*	`conf`	Exact Top-k Feature Selection via l2, 0-Norm Constraint. IJCAI Xiao Cai, Feiping Nie, Heng Huang
2013	J	`jnl`	Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks. J. Comput. Biol. Hua Wang, Heng Huang, Chris H. Q. Ding
2013	A*	`conf`	Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model. ICCV Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang
2013	A*	`conf`	Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. CVPR Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2013	—	`conf`	Multi-View Clustering and Feature Learning via Structured Sparsity. ICML (3) Hua Wang, Feiping Nie, Heng Huang
2013	A*	`conf`	Multi-View K-Means Clustering on Big Data. IJCAI Xiao Cai, Feiping Nie, Heng Huang
2013	—	`ed.`	Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings MBIA Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin
2013	—	`conf`	Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. MBIA Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2013	A*	`conf`	New Graph Structured Sparsity Model for Multi-label Image Annotations. ICCV Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang
2013	A*	`conf`	On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions. KDD Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang
2013	J	`jnl`	Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. J. Comput. Biol. Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie
2013	A*	`conf`	Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. IJCAI Hua Wang, Heng Huang, Chris H. Q. Ding
2013	J	`jnl`	Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling. BMC Bioinform. Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng, Mei Chen
2013	A*	`conf`	Robust Discrete Matrix Completion. AAAI Jin Huang, Feiping Nie, Heng Huang
2013	J	`jnl`	Robust Manifold Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2013	—	`conf`	Robust and Discriminative Self-Taught Learning. ICML (3) Hua Wang, Feiping Nie, Heng Huang
2013	A*	`conf`	Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization. ICCV Hua Wang, Feiping Nie, Weidong Cai, Heng Huang
2013	—	`conf`	Similarity Guided Feature Labeling for Lesion Detection. MICCAI (1) Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Stefan Eberl, Michael J. Fulham, Dagan Feng
2013	A*	`conf`	Social Trust Prediction Using Rank-k Matrix Recovery. IJCAI Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding
2013	J	`jnl`	Social trust prediction using heterogeneous networks. ACM Trans. Knowl. Discov. Data Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu, Yu Lei
2013	A*	`conf`	Spectral Rotation versus K-Means in Spectral Clustering. AAAI Jin Huang, Feiping Nie, Heng Huang
2013	—	`conf`	Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. IPMI De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2013	A*	`conf`	Supervised and Projected Sparse Coding for Image Classification. AAAI Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2013	J	`jnl`	Toward structural sparsity: an explicit ℓ Knowl. Inf. Syst. Dijun Luo, Chris H. Q. Ding, Heng Huang
2013	—	`conf`	Towards adaptive dialogue systems for assistive living environments. IUI Companion Alexandros Papangelis, Vangelis Karkaletsis, Heng Huang
2012	A*	`conf`	An Iterative Locally Linear Embedding Algorithm. ICML Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie
2012	—	`conf`	Context Enhanced Graphical Model for Object Localization in Medical Images. MCV Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng
2012	—	`conf`	Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. NIPS Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie
2012	J	`jnl`	From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	B	`conf`	Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks. RECOMB Hua Wang, Heng Huang, Chris H. Q. Ding
2012	—	`conf`	Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes. MICCAI (2) Hanbo Chen, Xiao Cai, Dajiang Zhu, Feiping Nie, Tianming Liu, Heng Huang
2012	—	`conf`	High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction. NIPS Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinform. Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012	J	`jnl`	Joint stage recognition and anatomical annotation of Bioinform. Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding
2012	A*	`conf`	Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. AAAI Feiping Nie, Heng Huang, Chris H. Q. Ding
2012	A*	`conf`	Multi-label ReliefF and F-statistic feature selections for image annotation. CVPR Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao
2012	—	`conf`	Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. MBIA Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen
2012	J	`jnl`	No Silver Bullet: Identifying Security Vulnerabilities in Anonymization Protocols for Hospital Databases. Int. J. Heal. Inf. Syst. Informatics Nan Zhang, Liam O'Neill, Gautam Das, Xiuzhen Cheng, Heng Huang
2012	—	`conf`	Object localization in medical images based on graphical model with contrast and interest-region terms. CVPR Workshops Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng
2012	A*	`conf`	Parallelization with Multiplicative Algorithms for Big Data Mining. ICDM Dijun Luo, Chris H. Q. Ding, Heng Huang
2012	B	`conf`	Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. RECOMB Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie
2012	A*	`conf`	Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. ICDM Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding
2012	A*	`conf`	Robust and discriminative distance for Multi-Instance Learning. CVPR Hua Wang, Feiping Nie, Heng Huang
2012	C	`conf`	Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Multi-task Learning. ISM Hua Wang, Dhiraj Joshi, Jiebo Luo, Heng Huang, Minwoo Park
2012	—	`conf`	Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. ECCV (6) Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding
2012	A	`conf`	Trust prediction via aggregating heterogeneous social networks. CIKM Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu
2011	—	`conf`	Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms. PAKDD (1) Dijun Luo, Chris H. Q. Ding, Heng Huang
2011	A*	`conf`	Ball Ranking Machine for Content-Based Multimedia Retrieval. IJCAI Dijun Luo, Heng Huang
2011	A*	`conf`	Cauchy Graph Embedding. ICML Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang
2011	A*	`conf`	Cluster Indicator Decomposition for Efficient Matrix Factorization. IJCAI Dijun Luo, Chris H. Q. Ding, Heng Huang
2011	A	`conf`	Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. CIKM Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang
2011	A*	`conf`	Consensus spectral clustering in near-linear time. ICDE Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie
2011	—	`conf`	Cost effective depression patient thought record categorization via self-taught learning. PETRA Hua Wang, Heng Huang, Monica Basco, Molly Lopez, Fillia Makedon
2011	A*	`conf`	Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. SIGIR Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding
2011	A*	`conf`	Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. ICCV Dijun Luo, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Dyadic transfer learning for cross-domain image classification. ICCV Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering. IJCAI Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon
2011	—	`conf`	Graph Evolution via Social Diffusion Processes. ECML/PKDD (2) Dijun Luo, Chris H. Q. Ding, Heng Huang
2011	A*	`conf`	Heterogeneous image feature integration via multi-modal spectral clustering. CVPR Xiao Cai, Feiping Nie, Heng Huang, Farhad Kamangar
2011	—	`conf`	Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. MICCAI (3) Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2011	A*	`conf`	Image annotation using bi-relational graph of images and semantic labels. CVPR Hua Wang, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Learning Instance Specific Distance for Multi-Instance Classification. AAAI Hua Wang, Feiping Nie, Heng Huang
2011	A*	`conf`	Learning frame relevance for video classification. ACM Multimedia Hua Wang, Feiping Nie, Heng Huang, Yi Yang
2011	A*	`conf`	Linear Discriminant Analysis: New Formulations and Overfit Analysis. AAAI Dijun Luo, Chris H. Q. Ding, Heng Huang
2011	C	`conf`	Load model development for next generation appliances. IAS Franklin L. Quilumba, Wei-Jen Lee, Heng Huang, David Yanshi Wang, Robert Louis Szabados
2011	—	`conf`	Maximum Margin Multi-Instance Learning. NIPS Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding
2011	A*	`conf`	Multi-Class L2, 1-Norm Support Vector Machine. ICDM Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. AAAI Dijun Luo, Chris H. Q. Ding, Heng Huang
2011	—	`conf`	Multi-Subspace Representation and Discovery. ECML/PKDD (2) Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang
2011	A*	`conf`	Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. ICDM Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Robust Principal Component Analysis with Non-Greedy l IJCAI Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang
2011	A	`conf`	Robust nonnegative matrix factorization using L21-norm. CIKM Deguang Kong, Chris H. Q. Ding, Heng Huang
2011	A	`conf`	Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. CIKM Hua Wang, Heng Huang, Chris H. Q. Ding
2011	A*	`conf`	Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen
2011	A*	`conf`	Unsupervised and semi-supervised learning via ℓ1-norm graph. ICCV Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2010	—	`conf`	An interactive user interface system for Alzheimer's intervention. PETRA Fillia Makedon, Rong Zhang, Georgios Alexandrakis, Charles B. Owen, Heng Huang, Andrew J. Saykin
2010	—	`conf`	Directed Graph Learning via High-Order Co-linkage Analysis. ECML/PKDD (3) Hua Wang, Chris H. Q. Ding, Heng Huang
2010	A*	`conf`	Discriminant Laplacian Embedding. AAAI Hua Wang, Heng Huang, Chris H. Q. Ding
2010	—	`conf`	Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization. NIPS Feiping Nie, Heng Huang, Xiao Cai, Chris H. Q. Ding
2010	—	`conf`	Emotion detection via discriminative kernel method. PETRA Hua Wang, Heng Huang, Yanzi Hu, Mindi Anderson, Pamela R. Rollins, Fillia Makedon
2010	—	`conf`	Image Categorization Using Directed Graphs. ECCV (3) Hua Wang, Heng Huang, Chris H. Q. Ding
2010	—	`conf`	Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. ECML/PKDD (2) Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang
2010	J	`jnl`	Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet. Bioinform. Nha Nguyen, Heng Huang, Soontorn Oraintara, An P. N. Vo
2010	A*	`conf`	Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. AAAI Hua Wang, Chris H. Q. Ding, Heng Huang
2010	—	`conf`	Multi-label Feature Transform for Image Classifications. ECCV (4) Hua Wang, Heng Huang, Chris H. Q. Ding
2010	—	`conf`	Multi-label Linear Discriminant Analysis. ECCV (6) Hua Wang, Chris H. Q. Ding, Heng Huang
2010	J	`jnl`	On the eigenvectors of Mach. Learn. Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie
2010	J	`jnl`	Solenoid and non-solenoid protein recognition using stationary wavelet packet transform. Bioinform. An P. N. Vo, Nha Nguyen, Heng Huang
2010	J	`jnl`	Stationary Wavelet Packet Transform and Dependent Laplacian Bivariate Shrinkage Estimator for Array-CGH Data Smoothing. J. Comput. Biol. Nha Nguyen, Heng Huang, Soontorn Oraintara, An P. N. Vo
2010	A*	`conf`	Towards Structural Sparsity: An Explicit l2/l0 Approach. ICDM Dijun Luo, Chris H. Q. Ding, Heng Huang
2009	J	`jnl`	An event driven framework for assistive CPS environments. SIGBED Rev. Fillia Makedon, Zhengyi Le, Heng Huang, Eric Becker, Dimitrios I. Kosmopoulos
2009	J	`jnl`	Are Tensor Decomposition Solutions Unique? On the global convergence of HOSVD and ParaFac algorithms CoRR Dijun Luo, Heng Huang, Chris H. Q. Ding
2009	Misc	`conf`	Heterogeneous Data Fusion to Type Brain Tumor Biopsies. AIAI Vangelis Metsis, Heng Huang, Fillia Makedon, Aria Tzika
2009	A*	`conf`	Image annotation using multi-label correlated Green's function. ICCV Hua Wang, Heng Huang, Chris H. Q. Ding
2009	A*	`conf`	Link prediction of multimedia social network via unsupervised face recognition. ACM Multimedia Dijun Luo, Heng Huang
2009	A*	`conf`	Non-negative Laplacian Embedding. ICDM Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li
2009	J	`jnl`	Peak Detection in Mass Spectrometry by Gabor Filters and Envelope Analysis. J. Bioinform. Comput. Biol. Nha Nguyen, Heng Huang, Soontorn Oraintara, An P. N. Vo
2009	A*	`conf`	Symmetric two dimensional linear discriminant analysis (2DLDA). CVPR Dijun Luo, Chris H. Q. Ding, Heng Huang
2008	—	`conf`	High dimensional statistical shape model for medical image analysis. ISBI Heng Huang, Fillia Makedon, Roderick W. McColl
2008	—	`conf`	Requirements for implementation of localization into real-world assistive environments. PETRA Eric Becker, Yurong Xu, Heng Huang, Fillia Makedon
2008	A*	`conf`	Robust tensor factorization using R1 norm. CVPR Heng Huang, Chris H. Q. Ding
2008	A*	`conf`	Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering. KDD Heng Huang, Chris H. Q. Ding, Dijun Luo, Tao Li
2008	A*	`conf`	Tensor reduction error analysis - Applications to video compression and classification. CVPR Chris H. Q. Ding, Heng Huang, Dijun Luo
2007	—	`conf`	A Feature Extraction Metod for Multimedia data Analysis in Robot Wireless Sensor Networks. WIAMIS Heng Huang, Fillia Makedon, Dan O. Popa, Harry E. Stephanou, James Ford, Yurong Xu
2007	C	`conf`	A New Hybrid Technique for Dermatological Image Registration. BIBE Heng Huang, Paul R. Bergstresser
2007	C	`conf`	A New Smoothing Model for Analyzing Array CGH Data. BIBE Nha Nguyen, Heng Huang, Soontorn Oraintara, An P. N. Vo
2007	J	`jnl`	A Novel Surface Registration Algorithm With Biomedical Modeling Applications. IEEE Trans. Inf. Technol. Biomed. Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Andrew J. Saykin, Justin D. Pearlman
2007	—	`conf`	A garbage-collecting typed assembly language. TLDI Chris Hawblitzel, Heng Huang, Lea Wittie, Juan Chen
2007	C	`conf`	Denoising of Array-Based DNA Copy Number Data Using The Dual-tree Complex Wavelet Transform. BIBE Nha Nguyen, Heng Huang, Soontorn Oraintara, Yuhang Wang
2007	—	`conf`	Efficient Registration of 3D SPHARM Surfaces. CRV Li Shen, Heng Huang, Fillia Makedon, Andrew J. Saykin
2007	C	`conf`	Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. BIBE Li Shen, Andrew J. Saykin, Moo K. Chung, Heng Huang
2007	—	`conf`	Surface Harmonics for Shape Modeling. ICIP (2) Heng Huang, Li Shen
2007	J	`jnl`	Three-dimensional Models for Cardiac Bioelectricity Simulation: Cell to Organ. Simul. Heng Huang, Li Shen, Nha Nguyen
2006	—	`conf`	A Spatio-Temporal Modeling Method for Shape Representation. 3DPVT Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Justin D. Pearlman
2006	B	`conf`	Fast surface alignment for cardiac spatio-temporal modeling: application to ischemic cardiac shape modeling. Image Processing Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman
2006	—	`conf`	Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis. 3DPVT Heng Huang, Lei Zhang, Dimitris Samaras, Li Shen, Rong Zhang, Fillia Makedon, Justin D. Pearlman
2006	—	`conf`	Spatio-temporal analysis tool for modeling pulmonary nodules in MR images. Image-Guided Procedures Li Shen, Heng Huang, James Ford, Chia-Hsin Lu, Ling Gao, Wei Zheng, Fillia Makedon, Justin D. Pearlman
2005	—	`conf`	A New Test System for Stability Measurement of Marker Gene Selection in DNA Microarray Data Analysis. Panhellenic Conference on Informatics Fei Xiong, Heng Huang, James C. Ford, Fillia Makedon, Justin D. Pearlman
2005	A	`conf`	A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis. MICCAI Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman
2005	Misc	`conf`	A clustering-based approach for prediction of cardiac resynchronization therapy. SAC Heng Huang, Li Shen, Fillia Makedon, Sheng Zhang, Mark Greenberg, Ling Gao, Justin D. Pearlman
2005	—	`conf`	An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography. Image-Guided Procedures Li Shen, Ling Gao, Zhenwu Zhuang, Ebo DeMuinck, Heng Huang, Fillia Makedon, Justin D. Pearlman
2005	B	`conf`	Functional analysis of cardiac MR images using SPHARM modeling. Image Processing Heng Huang, Li Shen, James Ford, Fillia Makedon, Rong Zhang, Ling Gao, Justin D. Pearlman
2005	—	`conf`	K-means+ Method for Improving Gene Selection for Classification of Microarray Data. CSB Workshops Heng Huang, Rong Zhang, Fei Xiong, Fillia Makedon, Li Shen, Bruce Hettleman, Justin D. Pearlman
2005	A	`conf`	Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis. MICCAI Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman