Huang, Heng

258 publications

ICLR 2025 A Watermark for Order-Agnostic Language Models Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang

ICCV 2025 ARGUS: Hallucination and Omission Evaluation in Video-LLMs Ruchit Rawal, Reza Shirkavand, Heng Huang, Gowthami Somepalli, Tom Goldstein

TMLR 2025 AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving 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

NeurIPS 2025 Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training Reza Shirkavand, Peiran Yu, Qi He, Heng Huang

NeurIPS 2025 Cost-Aware Contrastive Routing for LLMs Reza Shirkavand, Shangqian Gao, Peiran Yu, Heng Huang

ICML 2025 De-Mark: Watermark Removal in Large Language Models Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

CVPR 2025 Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang

IJCAI 2025 Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations Wenhan Xian, Feihu Huang, Heng Huang

ICCV 2025 Federated Continuous Category Discovery and Learning Lixu Wang, Chenxi Liu, Junfeng Guo, Qingqing Ye, Heng Huang, Haibo Hu, Wei Dong

ICCV 2025 GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning Kelin Yu, Sheng Zhang, Harshit Soora, Furong Huang, Heng Huang, Pratap Tokekar, Ruohan Gao

ICLR 2025 Identification of Intermittent Temporal Latent Process Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang

CVPR 2025 LLaVA-Critic: Learning to Evaluate Multimodal Models Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li

ICLRW 2025 Negotiative Alignment: An Interactive Approach to Human-AI Co-Adaptation for Clinical Applications Florence Xini Doo, Nikhil Shah, Pranav Kulkarni, Vishwa Sanjay Parekh, Heng Huang

ICLR 2025 Not All Prompts Are Made Equal: Prompt-Based Pruning of Text-to-Image Diffusion Models Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang

ICLR 2025 OmnixR: Evaluating Omni-Modality Language Models on Reasoning Across Modalities Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong

NeurIPS 2025 On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization Shaocong Ma, Heng Huang

TMLR 2025 Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning Without Strong Duality Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang

ICML 2025 Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness Qi He, Peiran Yu, Ziyi Chen, Heng Huang

ICLR 2025 Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations Shaocong Ma, Heng Huang

NeurIPS 2025 Robust Distortion-Free Watermark for Autoregressive Audio Generation Models Yihan Wu, Georgios Milis, Ruibo Chen, Heng Huang

NeurIPS 2025 Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets Shaocong Ma, Heng Huang

CVPR 2025 SleeperMark: Towards Robust Watermark Against Fine-Tuning Text-to-Image Diffusion Models Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu

ICLRW 2025 Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Viswanathan Swaminathan

ICLR 2025 Towards Optimal Multi-Draft Speculative Decoding Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang

NeurIPS 2025 VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations Qianqian Qiao, DanDan Zheng, Yihang Bo, Bao Peng, Heng Huang, Longteng Jiang, Huaye Wang, Jingdong Chen, Jun Zhou, Xin Jin

ICML 2024 A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang

ICLR 2024 A Unified and General Framework for Continual Learning Zhenyi Wang, Yan Li, Li Shen, Heng Huang

NeurIPS 2024 APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Heng Huang, Shan Gao, Jianfei Liu, Rui Li

ICML 2024 Accelerated Policy Gradient for S-Rectangular Robust MDPs with Large State Spaces Ziyi Chen, Heng Huang

ICML 2024 Accelerated Speculative Sampling Based on Tree Monte Carlo Zhengmian Hu, Heng Huang

AAAI 2024 Adversarial Fairness Network Taeuk Jang, Xiaoqian Wang, Heng Huang

ICLR 2024 AlpaGasus: Training a Better Alpaca with Fewer Data Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin

CVPR 2024 Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang

CVPR 2024 BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks Shangqian Gao, Yanfu Zhang, Feihu Huang, Heng Huang

AAAI 2024 Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang

ICML 2024 Defense Against Model Extraction Attack by Bayesian Active Watermarking Zhenyi Wang, Yihan Wu, Heng Huang

ICML 2024 Delving into the Convergence of Generalized Smooth Minimax Optimization Wenhan Xian, Ziyi Chen, Heng Huang

CVPR 2024 Device-Wise Federated Network Pruning Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang

ICLR 2024 Dropout Enhanced Bilevel Training Peiran Yu, Junyi Li, Heng Huang

CoRL 2024 Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermuller, Yiannis Aloimonos, Heng Huang, Christopher Metzler

ICLR 2024 FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization Junyi Li, Feihu Huang, Heng Huang

ECCV 2024 Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

TMLR 2024 Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems Peiran Yu, Junyi Li, Heng Huang

NeurIPS 2024 Inevitable Trade-Off Between Watermark Strength and Speculative Sampling Efficiency for Language Models Zhengmian Hu, Heng Huang

ICML 2024 InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou

CVPR 2024 Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment Alireza Ganjdanesh, Shangqian Gao, Heng Huang

AISTATS 2024 Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu

ECCV 2024 Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang

NeurIPS 2024 Model Sensitivity Aware Continual Learning Zhenyi Wang, Heng Huang

ICML 2024 ODIN: Disentangled Reward Mitigates Hacking in RLHF Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro

ICLR 2024 On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning Ziyi Chen, Yi Zhou, Heng Huang

AAAI 2024 On the Role of Server Momentum in Federated Learning Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang

IJCAI 2024 Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Shan Gao, Heng Huang, Guangdong Li

ECCV 2024 Prompting Language-Informed Distribution for Compositional Zero-Shot Learning Wentao Bao, Lichang Chen, Heng Huang, Yu Kong

NeurIPS 2024 Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling Junyi Li, Heng Huang

ICML 2024 Retrieval Across Any Domains via Large-Scale Pre-Trained Model Jiexi Yan, Zhihui Yin, Chenghao Xu, Cheng Deng, Heng Huang

ECCV 2024 Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View Jianan Fan, Dongnan Liu, Canran Li, Hang Chang, Heng Huang, Filip Braet, Mei Chen, Weidong Cai

NeurIPS 2024 Robust Reinforcement Learning with General Utility Ziyi Chen, Yan Wen, Zhengmian Hu, Heng Huang

CVPR 2024 Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai

MLJ 2024 Tackle Balancing Constraints in Semi-Supervised Ordinal Regression Chenkang Zhang, Heng Huang, Bin Gu

ICLR 2024 Towards Green AI in Fine-Tuning Large Language Models via Adaptive Backpropagation Kai Huang, Hanyun Yin, Heng Huang, Wei Gao

ICLR 2024 Unbiased Watermark for Large Language Models Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang

NeurIPS 2024 ZeroMark: Towards Dataset Ownership Verification Without Disclosing Watermark Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang

ICML 2023 A Law of Robustness Beyond Isoperimetry Yihan Wu, Heng Huang, Hongyang Zhang

MLJ 2023 A New Large-Scale Learning Algorithm for Generalized Additive Models Bin Gu, Chenkang Zhang, Zhouyuan Huo, Heng Huang

AAAI 2023 Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks Yihan Wu, Aleksandar Bojchevski, Heng Huang

ICML 2023 Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization Zhengmian Hu, Xidong Wu, Heng Huang

NeurIPS 2023 Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems Junyi Li, Feihu Huang, Heng Huang

CVPR 2023 Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang

AAAI 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems Xidong Wu, Zhengmian Hu, Heng Huang

NeurIPS 2023 Domain Watermark: Effective and Harmless Dataset Copyright Protection Is Closed at Hand Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li

AAAI 2023 EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs Alireza Ganjdanesh, Shangqian Gao, Heng Huang

AAAI 2023 Faster Adaptive Federated Learning Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang

AAAI 2023 Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples Zhou Zhai, Lei Luo, Heng Huang, Bin Gu

NeurIPS 2023 Federated Conditional Stochastic Optimization Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang

NeurIPS 2023 Finding Local Minima Efficiently in Decentralized Optimization Wenhan Xian, Heng Huang

ICLR 2023 Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin

ICCV 2023 Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang

NeurIPS 2023 Optimization and Bayes: A Trade-Off for Overparameterized Neural Networks Zhengmian Hu, Heng Huang

NeurIPS 2023 Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning Junyi Li, Heng Huang

NeurIPS 2023 Solving a Class of Non-Convex Minimax Optimization in Federated Learning Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang

ICCV 2023 Structural Alignment for Network Pruning Through Partial Regularization Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang

ICCV 2023 Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai

ICML 2023 Tighter Analysis for ProxSkip Zhengmian Hu, Heng Huang

AAAI 2022 A Fully Single Loop Algorithm for Bilevel Optimization Without Hessian Inverse Junyi Li, Bin Gu, Heng Huang

JMLR 2022 Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

AAAI 2022 Balanced Self-Paced Learning for AUC Maximization Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang

ICLR 2022 Bregman Gradient Policy Optimization Feihu Huang, Shangqian Gao, Heng Huang

CVPR 2022 Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger R. Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu

NeurIPSW 2022 Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness by Adaptive Budgets Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang

AAAI 2022 Coordinating Momenta for Cross-Silo Federated Learning An Xu, Heng Huang

ICML 2022 Detached Error Feedback for Distributed SGD with Random Sparsification An Xu, Heng Huang

ECCV 2022 Disentangled Differentiable Network Pruning Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang

IJCAI 2022 Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang

NeurIPS 2022 Enhanced Bilevel Optimization via Bregman Distance Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang

NeurIPSW 2022 FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings Junyi Li, Heng Huang

ECCV 2022 Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps Alireza Ganjdanesh, Shangqian Gao, Heng Huang

AAAI 2022 Learning Universal Adversarial Perturbation by Adversarial Example Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang

NeurIPS 2022 MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang

CVPR 2022 Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang

ICML 2022 On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum Hongchang Gao, Junyi Li, Heng Huang

ECCV 2022 Recover Fair Deep Classification Models via Altering Pre-Trained Structure Yanfu Zhang, Shangqian Gao, Heng Huang

ICML 2022 RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval Yihan Wu, Hongyang Zhang, Heng Huang

NeurIPS 2021 A Faster Decentralized Algorithm for Nonconvex Minimax Problems Wenhan Xian, Feihu Huang, Yanfu Zhang, Heng Huang

ICCV 2021 Adversarial Attack on Deep Cross-Modal Hamming Retrieval Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang

JMLR 2021 Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, Cheng Deng, Heng Huang

AAAI 2021 Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning Wenhan Xian, Feihu Huang, Heng Huang

NeurIPS 2021 Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems Feihu Huang, Xidong Wu, Heng Huang

ICCV 2021 Exploration and Estimation for Model Compression Yanfu Zhang, Shangqian Gao, Heng Huang

NeurIPS 2021 Fast Training Method for Stochastic Compositional Optimization Problems Hongchang Gao, Heng Huang

AAAI 2021 Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling Zhouyuan Huo, Bin Gu, Heng Huang

ICCV 2021 Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang

CVPR 2021 Nearest Neighbor Matching for Deep Clustering Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang

CVPR 2021 Network Pruning via Performance Maximization Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang

AAAI 2021 On the Convergence of Communication-Efficient Local SGD for Federated Learning Hongchang Gao, An Xu, Heng Huang

ICML 2021 On the Random Conjugate Kernel and Neural Tangent Kernel Zhengmian Hu, Heng Huang

NeurIPS 2021 Optimal Underdamped Langevin MCMC Method Zhengmian Hu, Feihu Huang, Heng Huang

NeurIPS 2021 SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients Feihu Huang, Junyi Li, Heng Huang

AAAI 2021 Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang

AAAI 2021 Step-Ahead Error Feedback for Distributed Training with Compressed Gradient An Xu, Zhouyuan Huo, Heng Huang

MLJ 2021 Triply Stochastic Gradient Method for Large-Scale Nonlinear Similar Unlabeled Classification Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang

CVPR 2021 Unsupervised Hyperbolic Metric Learning Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang

JMLR 2020 A Unified Q-Memorization Framework for Asynchronous Stochastic Optimization Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang

ICML 2020 Adversarial Nonnegative Matrix Factorization Lei Luo, Yanfu Zhang, Heng Huang

ECCV 2020 Binarized Neural Network for Single Image Super Resolution Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao

ICML 2020 Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? Hongchang Gao, Heng Huang

ICML 2020 Fast OSCAR and OWL Regression via Safe Screening Rules Runxue Bao, Bin Gu, Heng Huang

CVPRW 2020 LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking Guanghan Ning, Jian Pei, Heng Huang

ICML 2020 Momentum-Based Policy Gradient Methods Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

AAAI 2020 Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization Wanli Shi, Bin Gu, Xiang Li, Heng Huang

AAAI 2020 Safe Sample Screening for Robust Support Vector Machine Zhou Zhai, Bin Gu, Xiang Li, Heng Huang

IJCAI 2020 Sinkhorn Regression Lei Luo, Jian Pei, Heng Huang

ICML 2020 Sparse Shrunk Additive Models Guodong Liu, Hong Chen, Heng Huang

IJCAI 2019 Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization Bin Gu, Wenhan Xian, Heng Huang

IJCAI 2019 Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss Feng Zheng, Cheng Deng, Heng Huang

NeurIPS 2019 Curvilinear Distance Metric Learning Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang

ICML 2019 Demystifying Dropout Hongchang Gao, Jian Pei, Heng Huang

AAAI 2019 Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

ICML 2019 Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization Feihu Huang, Songcan Chen, Heng Huang

CVPRW 2019 Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Heng Huang, Mei Chen, Hanchuan Peng, Weidong Cai

AAAI 2019 Orthogonality-Promoting Dictionary Learning via Bayesian Inference Lei Luo, Jie Xu, Cheng Deng, Heng Huang

IJCAI 2019 Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang

AAAI 2019 Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees Lei Luo, Jie Xu, Cheng Deng, Heng Huang

IJCAI 2019 Scalable Semi-Supervised SVM via Triply Stochastic Gradients Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang

AAAI 2019 Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy Bin Gu, Zhouyuan Huo, Heng Huang

IJCAI 2019 Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang

AAAI 2018 Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang

AISTATS 2018 Asynchronous Doubly Stochastic Group Regularized Learning Bin Gu, Zhouyuan Huo, Heng Huang

AAAI 2018 Asynchronous Doubly Stochastic Sparse Kernel Learning Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang

NeurIPS 2018 Bilevel Distance Metric Learning for Robust Image Recognition Jie Xu, Lei Luo, Cheng Deng, Heng Huang

ICML 2018 Decoupled Parallel Backpropagation with Convergence Guarantee Zhouyuan Huo, Bin Gu, Yang, Heng Huang

IJCAI 2018 Deep Attributed Network Embedding Hongchang Gao, Heng Huang

AAAI 2018 Direct Hashing Without Pseudo-Labels Feng Zheng, Heng Huang

IJCAI 2018 Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding Feng Zheng, Xin Miao, Heng Huang

ICML 2018 Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang

AAAI 2018 Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization Bin Gu, De Wang, Zhouyuan Huo, Heng Huang

IJCAI 2018 Joint Generative Moment-Matching Network for Learning Structural Latent Code Hongchang Gao, Heng Huang

CVPRW 2018 Large Kernel Refine Fusion Net for Neuron Membrane Segmentation Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Heng Huang, Mei Chen, Weidong Cai

AAAI 2018 Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning Lei Luo, Heng Huang

IJCAI 2018 Multi-Level Metric Learning via Smoothed Wasserstein Distance Jie Xu, Lei Luo, Cheng Deng, Heng Huang

IJCAI 2018 New Balanced Active Learning Model and Optimization Algorithm Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang

AAAI 2018 Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model Kamran Ghasedi Dizaji, Heng Huang

IJCAI 2018 Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models Hongchang Gao, Heng Huang

NeurIPS 2018 Training Neural Networks Using Features Replay Zhouyuan Huo, Bin Gu, Heng Huang

AAAI 2017 Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization Zhouyuan Huo, Heng Huang

ICCV 2017 Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization Kamran Ghasedi Dizaji, Amirhossein Herandi, Cheng Deng, Weidong Cai, Heng Huang

NeurIPS 2017 Group Sparse Additive Machine Hong Chen, Xiaoqian Wang, Cheng Deng, Heng Huang

IJCAI 2017 Joint Capped Norms Minimization for Robust Matrix Recovery Feiping Nie, Zhouyuan Huo, Heng Huang

NeurIPS 2017 Learning a Structured Optimal Bipartite Graph for Co-Clustering Feiping Nie, Xiaoqian Wang, Cheng Deng, Heng Huang

AAAI 2017 Local Centroids Structured Non-Negative Matrix Factorization Hongchang Gao, Feiping Nie, Heng Huang

ICCV 2017 Locally-Transferred Fisher Vectors for Texture Classification Yang Song, Fan Zhang, Qing Li, Heng Huang, Lauren J. O'Donnell, Weidong Cai

IJCAI 2017 Multi-Class Support Vector Machine via Maximizing Multi-Class Margins Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang

AAAI 2017 Multiclass Capped ℓp-Norm SVM for Robust Classifications Feiping Nie, Xiaoqian Wang, Heng Huang

IJCAI 2017 Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang

NeurIPS 2017 Regularized Modal Regression with Applications in Cognitive Impairment Prediction Xiaoqian Wang, Hong Chen, Weidong Cai, Dinggang Shen, Heng Huang

AAAI 2017 Semi-Supervised Classifications via Elastic and Robust Embedding Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang

IJCAI 2017 Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-Lai Chung, Heng Huang

AAAI 2017 Video Recovery via Learning Variation and Consistency of Images Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang

AAAI 2016 Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang

NeurIPS 2016 Error Analysis of Generalized Nyström Kernel Regression Hong Chen, Haifeng Xia, Heng Huang, Weidong Cai

IJCAI 2016 Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering De Wang, Feiping Nie, Heng Huang

ECCV 2016 Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors Yang Song, Qing Li, Heng Huang, Dagan Feng, Mei Chen, Tom Weidong Cai

ECCVW 2016 Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors Yang Song, Qing Li, Heng Huang, Dagan Feng, Mei Chen, Tom Weidong Cai

AAAI 2016 New L1-Norm Relaxations and Optimizations for Graph Clustering Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang

AAAI 2016 Optimal Discrete Matrix Completion Zhouyuan Huo, Ji Liu, Heng Huang

IJCAI 2016 Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint Feiping Nie, Heng Huang

AAAI 2016 The Constrained Laplacian Rank Algorithm for Graph-Based Clustering Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang

AAAI 2016 The L2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation Wenhao Jiang, Hongchang Gao, Fu-Lai Chung, Heng Huang

AAAI 2015 A Closed Form Solution to Multi-View Low-Rank Regression Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang

IJCAI 2015 A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering Jin Huang, Feiping Nie, Heng Huang

IJCAI 2015 Discriminative Unsupervised Dimensionality Reduction Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang

CVPR 2015 Fusing Subcategory Probabilities for Texture Classification Yang Song, Weidong Cai, Qing Li, Fan Zhang, David Dagan Feng, Heng Huang

AAAI 2015 Large-Scale Multi-View Spectral Clustering via Bipartite Graph Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang

AAAI 2015 Learning Robust Locality Preserving Projection via P-Order Minimization Hua Wang, Feiping Nie, Heng Huang

ICCV 2015 Multi-View Subspace Clustering Hongchang Gao, Feiping Nie, Xuelong Li, Heng Huang

IJCAI 2015 Robust Dictionary Learning with Capped L1-Norm Wenhao Jiang, Feiping Nie, Heng Huang

AAAI 2014 A Convex Formulation for Semi-Supervised Multi-Label Feature Selection Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang

ECML-PKDD 2014 Flexible Shift-Invariant Locality and Globality Preserving Projections Feiping Nie, Xiao Cai, Heng Huang

AAAI 2014 Globally and Locally Consistent Unsupervised Projection Hua Wang, Feiping Nie, Heng Huang

ICML 2014 Linear Time Solver for Primal SVM Feiping Nie, Yizhen Huang, Heng Huang

AAAI 2014 Low-Rank Tensor Completion with Spatio-Temporal Consistency Hua Wang, Feiping Nie, Heng Huang

ICML 2014 Optimal Mean Robust Principal Component Analysis Feiping Nie, Jianjun Yuan, Heng Huang

ICML 2014 Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization Hua Wang, Feiping Nie, Heng Huang

ECML-PKDD 2014 Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-Means Clustering (TRACK) De Wang, Feiping Nie, Heng Huang

CVPR 2014 Video Motion Segmentation Using New Adaptive Manifold Denoising Model Dijun Luo, Heng Huang

IJCAI 2013 Adaptive Loss Minimization for Semi-Supervised Elastic Embedding Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

IJCAI 2013 Early Active Learning via Robust Representation and Structured Sparsity Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

IJCAI 2013 Exact Top-K Feature Selection via L2, 0-Norm Constraint Xiao Cai, Feiping Nie, Heng Huang

ICCV 2013 Heterogeneous Image Features Integration via Multi-Modal Semi-Supervised Learning Model Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang

CVPR 2013 Heterogeneous Visual Features Fusion via Sparse Multimodal Machine Hua Wang, Feiping Nie, Heng Huang, Chris Ding

ICML 2013 Multi-View Clustering and Feature Learning via Structured Sparsity Hua Wang, Feiping Nie, Heng Huang

IJCAI 2013 Multi-View K-Means Clustering on Big Data Xiao Cai, Feiping Nie, Heng Huang

ICCV 2013 New Graph Structured Sparsity Model for Multi-Label Image Annotations Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang

IJCAI 2013 Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations Hua Wang, Heng Huang, Chris H. Q. Ding

AAAI 2013 Robust Discrete Matrix Completion Jin Huang, Feiping Nie, Heng Huang

ICML 2013 Robust and Discriminative Self-Taught Learning Hua Wang, Feiping Nie, Heng Huang

ICCV 2013 Semi-Supervised Robust Dictionary Learning via Efficient L-Norms Minimization Hua Wang, Feiping Nie, Weidong Cai, Heng Huang

IJCAI 2013 Social Trust Prediction Using Rank-K Matrix Recovery Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding

AAAI 2013 Spectral Rotation Versus K-Means in Spectral Clustering Jin Huang, Feiping Nie, Heng Huang

AAAI 2013 Supervised and Projected Sparse Coding for Image Classification Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding

ICML 2012 An Iterative Locally Linear Embedding Algorithm Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie

NeurIPS 2012 Forging the Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach Dijun Luo, Heng Huang, Feiping Nie, Chris H. Ding

NeurIPS 2012 High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen

AAAI 2012 Low-Rank Matrix Recovery via Efficient Schatten P-Norm Minimization Feiping Nie, Heng Huang, Chris H. Q. Ding

CVPR 2012 Multi-Label ReliefF and F-Statistic Feature Selections for Image Annotation Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao

CVPRW 2012 Object Localization in Medical Images Based on Graphical Model with Contrast and Interest-Region Terms Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng

CVPR 2012 Robust and Discriminative Distance for Multi-Instance Learning Hua Wang, Feiping Nie, Heng Huang

ECCV 2012 Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-Relational Graph Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding

IJCAI 2011 Ball Ranking Machine for Content-Based Multimedia Retrieval Dijun Luo, Heng Huang

ICML 2011 Cauchy Graph Embedding Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang

IJCAI 2011 Cluster Indicator Decomposition for Efficient Matrix Factorization Dijun Luo, Chris H. Q. Ding, Heng Huang

ICCV 2011 Discriminative High Order SVD: Adaptive Tensor Subspace Selection for Image Classification, Clustering, and Retrieval Dijun Luo, Heng Huang, Chris H. Q. Ding

ICCV 2011 Dyadic Transfer Learning for Cross-Domain Image Classification Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding

IJCAI 2011 Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon

ECML-PKDD 2011 Graph Evolution via Social Diffusion Processes Dijun Luo, Chris H. Q. Ding, Heng Huang

CVPR 2011 Heterogeneous Image Feature Integration via Multi-Modal Spectral Clustering Xiao Cai, Feiping Nie, Heng Huang, Farhad Kamangar

CVPR 2011 Image Annotation Using Bi-Relational Graph of Images and Semantic Labels Hua Wang, Heng Huang, Chris H. Q. Ding

AAAI 2011 Learning Instance Specific Distance for Multi-Instance Classification Hua Wang, Feiping Nie, Heng Huang

AAAI 2011 Linear Discriminant Analysis: New Formulations and Overfit Analysis Dijun Luo, Chris H. Q. Ding, Heng Huang

NeurIPS 2011 Maximum Margin Multi-Instance Learning Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Ding

AAAI 2011 Multi-Level Cluster Indicator Decompositions of Matrices and Tensors Dijun Luo, Chris H. Q. Ding, Heng Huang

ECML-PKDD 2011 Multi-Subspace Representation and Discovery Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang

IJCAI 2011 Robust Principal Component Analysis with Non-Greedy L1-Norm Maximization Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang

ICCV 2011 Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen

ICCV 2011 Unsupervised and Semi-Supervised Learning via ℓ1-Norm Graph Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding

ECML-PKDD 2010 Directed Graph Learning via High-Order Co-Linkage Analysis Hua Wang, Chris H. Q. Ding, Heng Huang

AAAI 2010 Discriminant Laplacian Embedding Hua Wang, Heng Huang, Chris H. Q. Ding

NeurIPS 2010 Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization Feiping Nie, Heng Huang, Xiao Cai, Chris H. Ding

ECCV 2010 Image Categorization Using Directed Graphs Hua Wang, Heng Huang, Chris H. Q. Ding

ECML-PKDD 2010 Improved MinMax Cut Graph Clustering with Nonnegative Relaxation Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang

AAAI 2010 Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor Hua Wang, Chris H. Q. Ding, Heng Huang

ECCV 2010 Multi-Label Feature Transform for Image Classifications Hua Wang, Heng Huang, Chris H. Q. Ding

ECCV 2010 Multi-Label Linear Discriminant Analysis Hua Wang, Chris H. Q. Ding, Heng Huang

MLJ 2010 On the Eigenvectors of P-Laplacian Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie

ICCV 2009 Image Annotation Using Multi-Label Correlated Green's Function Hua Wang, Heng Huang, Chris H. Q. Ding

CVPR 2009 Symmetric Two Dimensional Linear Discriminant Analysis (2DLDA) Dijun Luo, Chris H. Q. Ding, Heng Huang

CVPR 2008 Robust Tensor Factorization Using R1 Norm Heng Huang, Chris H. Q. Ding

CVPR 2008 Tensor Reduction Error Analysis - Applications to Video Compression and Classification Chris H. Q. Ding, Heng Huang, Dijun Luo