| 2026 | ISCAS | A Power Efficient and Fast Response Cascode FVF LDO Using Voltage Detecting and GB Enhancing Techniques for Cryogenic Quantum Computing. | Chengzhuo Zhao, Mingche Lai, Fangxu Lv, Weixia Xu, Heng Huang, Kewei Xin, Wenchen Wang, Meng Li, Chaolong Xu, Jiliang Liu |
| 2025 | ACL | Improved Unbiased Watermark for Large Language Models. | Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang |
| 2025 | ACL | From Lists to Emojis: How Format Bias Affects Model Alignment. | Xuanchang Zhang, Wei Xiong, Lichang Chen, Tianyi Zhou, Heng Huang, Tong Zhang |
| 2025 | ACL | Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation. | Tong Zheng, Yan Wen, Huiwen Bao, Junfeng Guo, Heng Huang |
| 2025 | CVPR | Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models. | Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang |
| 2025 | CVPR | 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 |
| 2025 | CVPR | LLaVA-Critic: Learning to Evaluate Multimodal Models. | Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li |
| 2025 | EMNLP | Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models. | Yisheng Zhong, Yizhu Wen, Junfeng Guo, Mehran Kafai, Heng Huang, Hanqing Guo, Zhuangdi Zhu |
| 2025 | ICASSP | KLMN: Knowledge distillation based lightweight multi-clue image forgery detection and localization. | Heng Huang, Yaqi Liu, Xin Jin, Song Xiao, Bin Liu |
| 2025 | ICCV | ARGUS: Hallucination and Omission Evaluation in Video-LLMs. | Ruchit Rawal, Reza Shirkavand, Heng Huang, Gowthami Somepalli, Tom Goldstein |
| 2025 | ICCV | Federated Continuous Category Discovery and Learning. | Lixu Wang, Chenxi Liu, Junfeng Guo, Qingqing Ye, Heng Huang, Haibo Hu, Wei Dong |
| 2025 | ICCV | Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. | 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 | ICCV | 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 |
| 2025 | ICDM | Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. | Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan |
| 2025 | ICDM | Selective Channel-Quality-Guided EEG Denoising for Brain Disorder Prediction. | Yang Du, Siyuan Dai, Marcus Zhan, Guodong Liu, Paul M. Thompson, Heng Huang, Haoteng Tang |
| 2025 | ICLR | 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 |
| 2025 | ICLR | A Watermark for Order-Agnostic Language Models. | Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang |
| 2025 | ICLR | Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. | Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang |
| 2025 | ICLR | Towards Optimal Multi-draft Speculative Decoding. | Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang |
| 2025 | ICLR | Identification of Intermittent Temporal Latent Process. | Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang |
| 2025 | ICLR | Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations. | Shaocong Ma, Heng Huang |
| 2025 | ICML | De-mark: Watermark Removal in Large Language Models. | Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang |
| 2025 | ICML | Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness. | Qi He, Peiran Yu, Ziyi Chen, Heng Huang |
| 2025 | IJCAI | Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations. | Wenhan Xian, Feihu Huang, Heng Huang |
| 2025 | Interspeech | A Watermark for Auto-Regressive Speech Generation Models. | Yihan Wu, Ruibo Chen, Georgios Milis, Junfeng Guo, Heng Huang |
| 2025 | MICCAI | Trustworthy Clinical Thinking in MLLMs: Hierarchical Energy-based Reasoning for interpretable MEdical Scans (HERMES). | Florence X. Doo, Huiwen Han, Bradley A. Maron, Heng Huang |
| 2024 | AAAI | Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. | Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang |
| 2024 | AAAI | Adversarial Fairness Network. | Taeuk Jang, Xiaoqian Wang, Heng Huang |
| 2024 | AAAI | On the Role of Server Momentum in Federated Learning. | Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang |
| 2024 | ACL | Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection. | Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang |
| 2024 | AISTATS | Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. | Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu |
| 2024 | CoRL | Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion. | Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermller, Yiannis Aloimonos, Heng Huang, Christopher A. Metzler |
| 2024 | CVPR | Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. | Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai |
| 2024 | CVPR | Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. | Alireza Ganjdanesh, Shangqian Gao, Heng Huang |
| 2024 | CVPR | Device-Wise Federated Network Pruning. | Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang |
| 2024 | CVPR | BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks. | Shangqian Gao, Yanfu Zhang, Feihu Huang, Heng Huang |
| 2024 | CVPR | 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 |
| 2024 | ECCV | Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. | Wentao Bao, Lichang Chen, Heng Huang, Yu Kong |
| 2024 | ECCV | 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, Tom Weidong Cai |
| 2024 | ECCV | Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection. | Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang |
| 2024 | ECCV | 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 |
| 2024 | EMNLP | A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution. | Zhengmian Hu, Tong Zheng, Heng Huang |
| 2024 | FPGA | SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration. | Jinming Zhuang, Zhuoping Yang, Shixin Ji, Heng Huang, Alex K. Jones, Jingtong Hu, Yiyu Shi, Peipei Zhou |
| 2024 | ICLR | On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning. | Ziyi Chen, Yi Zhou, Heng Huang |
| 2024 | ICLR | Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation. | Kai Huang, Hanyun Yin, Heng Huang, Wei Gao |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Unbiased Watermark for Large Language Models. | Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang |
| 2024 | ICLR | FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization. | Junyi Li, Feihu Huang, Heng Huang |
| 2024 | ICLR | A Unified and General Framework for Continual Learning. | Zhenyi Wang, Yan Li, Li Shen, Heng Huang |
| 2024 | ICLR | Dropout Enhanced Bilevel Training. | Peiran Yu, Junyi Li, Heng Huang |
| 2024 | ICML | 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 |
| 2024 | ICML | InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. | Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou |
| 2024 | ICML | Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces. | Ziyi Chen, Heng Huang |
| 2024 | ICML | Accelerated Speculative Sampling Based on Tree Monte Carlo. | Zhengmian Hu, Heng Huang |
| 2024 | ICML | Defense against Model Extraction Attack by Bayesian Active Watermarking. | Zhenyi Wang, Yihan Wu, Heng Huang |
| 2024 | ICML | A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models. | Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang |
| 2024 | ICML | Delving into the Convergence of Generalized Smooth Minimax Optimization. | Wenhan Xian, Ziyi Chen, Heng Huang |
| 2024 | ICML | Retrieval Across Any Domains via Large-scale Pre-trained Model. | Jiexi Yan, Zhihui Yin, Chenghao Xu, Cheng Deng, Heng Huang |
| 2024 | IJCAI | 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 |
| 2023 | AAAI | EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. | Alireza Ganjdanesh, Shangqian Gao, Heng Huang |
| 2023 | AAAI | Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. | Yihan Wu, Aleksandar Bojchevski, Heng Huang |
| 2023 | AAAI | Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. | Xidong Wu, Zhengmian Hu, Heng Huang |
| 2023 | AAAI | Faster Adaptive Federated Learning. | Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang |
| 2023 | AAAI | Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples. | Zhou Zhai, Lei Luo, Heng Huang, Bin Gu |
| 2023 | CVPR | Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets. | Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang |
| 2023 | EMNLP | PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. | Lichang Chen, Jiuhai Chen, Heng Huang, Minhao Cheng |
| 2023 | ICCV | Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. | Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai |
| 2023 | ICCV | Structural Alignment for Network Pruning through Partial Regularization. | Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang |
| 2023 | ICCV | Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning. | Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang |
| 2023 | ICLR | Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. | Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin |
| 2023 | ICML | Tighter Analysis for ProxSkip. | Zhengmian Hu, Heng Huang |
| 2023 | ICML | Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization. | Zhengmian Hu, Xidong Wu, Heng Huang |
| 2023 | ICML | A Law of Robustness beyond Isoperimetry. | Yihan Wu, Heng Huang, Hongyang Zhang |
| 2023 | ISCAS | A Compact 16-Channel Neural Signal Recorder with Wireless Power and Data Transmission. | Heng Huang, Deng Luo, Wei Song, Milin Zhang, Zhihua Wang, Guolin Li |
| 2023 | KDD | Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. | Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang |
| 2022 | AAAI | Balanced Self-Paced Learning for AUC Maximization. | Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang |
| 2022 | AAAI | A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. | Junyi Li, Bin Gu, Heng Huang |
| 2022 | AAAI | Learning Universal Adversarial Perturbation by Adversarial Example. | Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang |
| 2022 | AAAI | Coordinating Momenta for Cross-Silo Federated Learning. | An Xu, Heng Huang |
| 2022 | CIKM | Towards Fairer Classifier via True Fairness Score Path. | Bin Gu, Zhou Zhai, Xiang Li, Heng Huang |
| 2022 | CIKM | An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. | Runxue Bao, Bin Gu, Heng Huang |
| 2022 | CVPR | Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. | An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu |
| 2022 | CVPR | Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning. | Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang |
| 2022 | ECCV | Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. | Alireza Ganjdanesh, Shangqian Gao, Heng Huang |
| 2022 | ECCV | Disentangled Differentiable Network Pruning. | Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang |
| 2022 | ECCV | Recover Fair Deep Classification Models via Altering Pre-trained Structure. | Yanfu Zhang, Shangqian Gao, Heng Huang |
| 2022 | ICDM | Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. | Xidong Wu, Feihu Huang, Heng Huang |
| 2022 | ICDM | Communication-Efficient Adam-Type Algorithms for Distributed Data Mining. | Wenhan Xian, Feihu Huang, Heng Huang |
| 2022 | ICDM | Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. | Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang |
| 2022 | ICLR | Bregman Gradient Policy Optimization. | Feihu Huang, Shangqian Gao, Heng Huang |
| 2022 | ICML | On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum. | Hongchang Gao, Junyi Li, Heng Huang |
| 2022 | ICML | RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval. | Yihan Wu, Hongyang Zhang, Heng Huang |
| 2022 | ICML | Detached Error Feedback for Distributed SGD with Random Sparsification. | An Xu, Heng Huang |
| 2022 | IJCAI | Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. | Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang |
| 2022 | ISCAS | A 16-Channel Neural Recorder with 2.8 nJ/bit, 971.4 kbps sub-2.4 GHz polar transmitter. | Wei Song, Heng Huang, Yusong Wu, Xiliang Liu, Chao Sun, Zijian Tang, Xiaoyan Ma, Tianhe Jiang, Xiong Zhong, Milin Zhang |
| 2022 | KDD | Communication-Efficient Robust Federated Learning with Noisy Labels. | Junyi Li, Jian Pei, Heng Huang |
| 2022 | KDD | Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. | Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang |
| 2021 | AAAI | On the Convergence of Communication-Efficient Local SGD for Federated Learning. | Hongchang Gao, An Xu, Heng Huang |
| 2021 | AAAI | Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. | Zhouyuan Huo, Bin Gu, Heng Huang |
| 2021 | AAAI | Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning. | Wenhan Xian, Feihu Huang, Heng Huang |
| 2021 | AAAI | Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. | An Xu, Zhouyuan Huo, Heng Huang |
| 2021 | AAAI | Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. | Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang |
| 2021 | CIKM | Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. | Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang |
| 2021 | CVPR | Nearest Neighbor Matching for Deep Clustering. | Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang |
| 2021 | CVPR | Network Pruning via Performance Maximization. | Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang |
| 2021 | CVPR | Unsupervised Hyperbolic Metric Learning. | Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang |
| 2021 | ICCV | Adversarial Attack on Deep Cross-Modal Hamming Retrieval. | Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang |
| 2021 | ICCV | Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding. | Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang |
| 2021 | ICCV | Exploration and Estimation for Model Compression. | Yanfu Zhang, Shangqian Gao, Heng Huang |
| 2021 | ICDM | Finding Age Path of Self-Paced Learning. | Bin Gu, Zhou Zhai, Xiang Li, Heng Huang |
| 2021 | ICDM | Unified Fairness from Data to Learning Algorithm. | Yanfu Zhang, Lei Luo, Heng Huang |
| 2021 | ICML | On the Random Conjugate Kernel and Neural Tangent Kernel. | Zhengmian Hu, Heng Huang |
| 2021 | KDD | AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. | Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang |
| 2020 | AAAI | Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. | Wanli Shi, Bin Gu, Xiang Li, Heng Huang |
| 2020 | AAAI | Safe Sample Screening for Robust Support Vector Machine. | Zhou Zhai, Bin Gu, Xiang Li, Heng Huang |
| 2020 | CVPR | Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. | Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang |
| 2020 | CVPR | Discrete Model Compression With Resource Constraint for Deep Neural Networks. | Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang |
| 2020 | CVPR | Towards Transferable Targeted Attack. | Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang |
| 2020 | CVPR | Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. | Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai |
| 2020 | CVPR | LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. | Guanghan Ning, Jian Pei, Heng Huang |
| 2020 | CVPR | On the Acceleration of Deep Learning Model Parallelism With Staleness. | An Xu, Zhouyuan Huo, Heng Huang |
| 2020 | DICTA | Dual-Stage Domain Adaptive Mitosis Detection for Histopathology Images. | Veena Dodballapur, Yang Song, Heng Huang, Mei Chen, Wojciech Chrzanowski, Tom Weidong Cai |
| 2020 | ECAI | Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection. | Zheng Gao, Lujun Zhao, Heng Huang, Hongsong Li, Changlong Sun, Luo Si, Xiaozhong Liu |
| 2020 | ECCV | Binarized Neural Network for Single Image Super Resolution. | Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao |
| 2020 | ICDM | A Heterogeneous Spatiotemporal Network for Lightning Prediction. | Yangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Wen Yao, Dong Zheng, Weitao Lyu, Heng Huang |
| 2020 | ICML | Adversarial Nonnegative Matrix Factorization. | Lei Luo, Yanfu Zhang, Heng Huang |
| 2020 | ICML | Fast OSCAR and OWL Regression via Safe Screening Rules. | Runxue Bao, Bin Gu, Heng Huang |
| 2020 | ICML | Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? | Hongchang Gao, Heng Huang |
| 2020 | ICML | Momentum-Based Policy Gradient Methods. | Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang |
| 2020 | ICML | Sparse Shrunk Additive Models. | Guodong Liu, Hong Chen, Heng Huang |
| 2020 | IJCAI | Sinkhorn Regression. | Lei Luo, Jian Pei, Heng Huang |
| 2020 | KDD | Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. | Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang |
| 2020 | KDD | Faster Secure Data Mining via Distributed Homomorphic Encryption. | Junyi Li, Heng Huang |
| 2020 | MICCAI | Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. | Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang |
| 2020 | MICCAI | Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. | Haozhe Jia, Yong Xia, Weidong Cai, Heng Huang |
| 2019 | AAAI | Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. | Bin Gu, Zhouyuan Huo, Heng Huang |
| 2019 | AAAI | Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. | Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang |
| 2019 | AAAI | Orthogonality-Promoting Dictionary Learning via Bayesian Inference. | Lei Luo, Jie Xu, Cheng Deng, Heng Huang |
| 2019 | AAAI | Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. | Lei Luo, Jie Xu, Cheng Deng, Heng Huang |
| 2019 | CVPR | Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. | Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang |
| 2019 | CVPR | Cross Domain Model Compression by Structurally Weight Sharing. | Shangqian Gao, Cheng Deng, Heng Huang |
| 2019 | CVPR | Balanced Self-Paced Learning for Generative Adversarial Clustering Network. | Kamran Ghasedi, Xiaoqian Wang, Cheng Deng, Heng Huang |
| 2019 | CVPR | 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 |
| 2019 | ICDM | Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. | Runxue Bao, Bin Gu, Heng Huang |
| 2019 | ICML | Demystifying Dropout. | Hongchang Gao, Jian Pei, Heng Huang |
| 2019 | ICML | Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. | Feihu Huang, Songcan Chen, Heng Huang |
| 2019 | IJCAI | Scalable Semi-Supervised SVM via Triply Stochastic Gradients. | Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang |
| 2019 | IJCAI | Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization. | Bin Gu, Wenhan Xian, Heng Huang |
| 2019 | IJCAI | Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. | Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang |
| 2019 | IJCAI | Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. | Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang |
| 2019 | IJCAI | Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss. | Feng Zheng, Cheng Deng, Heng Huang |
| 2019 | KDD | Multi-Horizon Time Series Forecasting with Temporal Attention Learning. | Chenyou Fan, Yuze Zhang, Yi Pan, Xiaoyue Li, Chi Zhang, Rong Yuan, Di Wu, Wensheng Wang, Jian Pei, Heng Huang |
| 2019 | KDD | Conditional Random Field Enhanced Graph Convolutional Neural Networks. | Hongchang Gao, Jian Pei, Heng Huang |
| 2019 | KDD | ProGAN: Network Embedding via Proximity Generative Adversarial Network. | Hongchang Gao, Jian Pei, Heng Huang |
| 2019 | KDD | Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning. | Shuyang Yu, Bin Gu, Kunpeng Ning, Haiyan Chen, Jian Pei, Heng Huang |
| 2019 | MICCAI | Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function. | 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 | MICCAI | HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. | Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia |
| 2018 | AAAI | Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model. | Kamran Ghasedi Dizaji, Heng Huang |
| 2018 | AAAI | Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. | Bin Gu, De Wang, Zhouyuan Huo, Heng Huang |
| 2018 | AAAI | Asynchronous Doubly Stochastic Sparse Kernel Learning. | Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang |
| 2018 | AAAI | Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. | Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang |
| 2018 | AAAI | Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning. | Lei Luo, Heng Huang |
| 2018 | AAAI | Direct Hashing Without Pseudo-Labels. | Feng Zheng, Heng Huang |
| 2018 | AISTATS | Asynchronous Doubly Stochastic Group Regularized Learning. | Bin Gu, Zhouyuan Huo, Heng Huang |
| 2018 | CVPR | Unsupervised Deep Generative Adversarial Hashing Network. | Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng, Heng Huang |
| 2018 | CVPR | Large Kernel Refine Fusion Net for Neuron Membrane Segmentation. | Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Heng Huang, Mei Chen, Weidong Cai |
| 2018 | CVPR | Direct Shape Regression Networks for End-to-End Face Alignment. | Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang |
| 2018 | ICDM | Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. | Zhouyuan Huo, Xue Jiang, Heng Huang |
| 2018 | ICML | Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. | Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang |
| 2018 | ICML | Decoupled Parallel Backpropagation with Convergence Guarantee. | Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang |
| 2018 | IJCAI | Joint Generative Moment-Matching Network for Learning Structural Latent Code. | Hongchang Gao, Heng Huang |
| 2018 | IJCAI | Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models. | Hongchang Gao, Heng Huang |
| 2018 | IJCAI | Deep Attributed Network Embedding. | Hongchang Gao, Heng Huang |
| 2018 | IJCAI | New Balanced Active Learning Model and Optimization Algorithm. | Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang |
| 2018 | IJCAI | Multi-Level Metric Learning via Smoothed Wasserstein Distance. | Jie Xu, Lei Luo, Cheng Deng, Heng Huang |
| 2018 | IJCAI | Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding. | Feng Zheng, Xin Miao, Heng Huang |
| 2018 | KDD | Semi-Supervised Generative Adversarial Network for Gene Expression Inference. | Kamran Ghasedi Dizaji, Xiaoqian Wang, Heng Huang |
| 2018 | KDD | Self-Paced Network Embedding. | Hongchang Gao, Heng Huang |
| 2018 | KDD | New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. | Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang |
| 2018 | KDD | New Robust Metric Learning Model Using Maximum Correntropy Criterion. | Jie Xu, Lei Luo, Cheng Deng, Heng Huang |
| 2018 | MICCAI | Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. | Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen |
| 2017 | AAAI | Local Centroids Structured Non-Negative Matrix Factorization. | Hongchang Gao, Feiping Nie, Heng Huang |
| 2017 | AAAI | Video Recovery via Learning Variation and Consistency of Images. | Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang |
| 2017 | AAAI | Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization. | Zhouyuan Huo, Heng Huang |
| 2017 | AAAI | Semi-Supervised Classifications via Elastic and Robust Embedding. | Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang |
| 2017 | AAAI | Multiclass Capped ℓp-Norm SVM for Robust Classifications. | Feiping Nie, Xiaoqian Wang, Heng Huang |
| 2017 | ICCV | Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. | Kamran Ghasedi Dizaji, Amirhossein Herandi, Cheng Deng, Weidong Cai, Heng Huang |
| 2017 | ICCV | Locally-Transferred Fisher Vectors for Texture Classification. | Yang Song, Fan Zhang, Qing Li, Heng Huang, Lauren J. O'Donnell, Weidong Cai |
| 2017 | IJCAI | Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning. | Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-Lai Chung, Heng Huang |
| 2017 | IJCAI | Joint Capped Norms Minimization for Robust Matrix Recovery. | Feiping Nie, Zhouyuan Huo, Heng Huang |
| 2017 | IJCAI | Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. | Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang |
| 2017 | IJCAI | Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. | Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang |
| 2017 | KDD | Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping. | Bin Gu, Guodong Liu, Heng Huang |
| 2016 | AAAI | Optimal Discrete Matrix Completion. | Zhouyuan Huo, Ji Liu, Heng Huang |
| 2016 | AAAI | The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation. | Wenhao Jiang, Hongchang Gao, Fu-Lai Chung, Heng Huang |
| 2016 | AAAI | New l1-Norm Relaxations and Optimizations for Graph Clustering. | Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang |
| 2016 | AAAI | The Constrained Laplacian Rank Algorithm for Graph-Based Clustering. | Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang |
| 2016 | AAAI | Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. | Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang |
| 2016 | ECCV | Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors. | Yang Song, Qing Li, Heng Huang, Dagan Feng, Mei Chen, Tom Weidong Cai |
| 2016 | ICDM | New Robust Clustering Model for Identifying Cancer Genome Landscapes. | Hongchang Gao, Xiaoqian Wang, Heng Huang |
| 2016 | ICDM | New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. | Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang |
| 2016 | ICDM | Learning Task Relational Structure for Multi-task Feature Learning. | De Wang, Feiping Nie, Heng Huang |
| 2016 | IJCAI | Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint. | Feiping Nie, Heng Huang |
| 2016 | IJCAI | Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering. | De Wang, Feiping Nie, Heng Huang |
| 2016 | ICTAI | A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. | Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang |
| 2016 | KDD | Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm. | Zhouyuan Huo, Feiping Nie, Heng Huang |
| 2016 | KDD | Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix. | Xiaoqian Wang, Feiping Nie, Heng Huang |
| 2016 | MICCAI | New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment. | Zhouyuan Huo, Dinggang Shen, Heng Huang |
| 2015 | AAAI | Large-Scale Multi-View Spectral Clustering via Bipartite Graph. | Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang |
| 2015 | AAAI | Learning Robust Locality Preserving Projection via p-Order Minimization. | Hua Wang, Feiping Nie, Heng Huang |
| 2015 | AAAI | A Closed Form Solution to Multi-View Low-Rank Regression. | Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang |
| 2015 | CIKM | Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF. | Hongchang Gao, Feiping Nie, Tom Weidong Cai, Heng Huang |
| 2015 | CIKM | Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization. | Peng Li, Tom Weidong Cai, Heng Huang |
| 2015 | CVPR | Fusing subcategory probabilities for texture classification. | Yang Song, Weidong Cai, Qing Li, Fan Zhang, David Dagan Feng, Heng Huang |
| 2015 | ICCV | Multi-view Subspace Clustering. | Hongchang Gao, Feiping Nie, Xuelong Li, Heng Huang |
| 2015 | ICONIP | Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears. | Afaf Tareef, Yang Song, Weidong Cai, Heng Huang, Yue Wang, Dagan Feng, Mei Chen |
| 2015 | IJCAI | A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering. | Jin Huang, Feiping Nie, Heng Huang |
| 2015 | IJCAI | Robust Dictionary Learning with Capped l1-Norm. | Wenhao Jiang, Feiping Nie, Heng Huang |
| 2015 | IJCAI | Discriminative Unsupervised Dimensionality Reduction. | Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang |
| 2015 | KDD | Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning. | Hongchang Gao, Lin Yan, Weidong Cai, Heng Huang |
| 2015 | MICCAI | Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. | Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaqun Goi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin, Li Shen, Heng Huang |
| 2014 | AAAI | A Convex Formulation for Semi-Supervised Multi-Label Feature Selection. | Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang |
| 2014 | AAAI | Globally and Locally Consistent Unsupervised Projection. | Hua Wang, Feiping Nie, Heng Huang |
| 2014 | AAAI | Low-Rank Tensor Completion with Spatio-Temporal Consistency. | Hua Wang, Feiping Nie, Heng Huang |
| 2014 | CVPR | Video Motion Segmentation Using New Adaptive Manifold Denoising Model. | Dijun Luo, Heng Huang |
| 2014 | ICML | Linear Time Solver for Primal SVM. | Feiping Nie, Yizhen Huang, Heng Huang |
| 2014 | ICML | Optimal Mean Robust Principal Component Analysis. | Feiping Nie, Jianjun Yuan, Heng Huang |
| 2014 | ICML | Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization. | Hua Wang, Feiping Nie, Heng Huang |
| 2014 | KDD | Clustering and projected clustering with adaptive neighbors. | Feiping Nie, Xiaoqian Wang, Heng Huang |
| 2014 | KDD | Large-scale adaptive semi-supervised learning via unified inductive and transductive model. | De Wang, Feiping Nie, Heng Huang |
| 2014 | MICCAI | A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. | Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2013 | AAAI | Robust Discrete Matrix Completion. | Jin Huang, Feiping Nie, Heng Huang |
| 2013 | AAAI | Spectral Rotation versus K-Means in Spectral Clustering. | Jin Huang, Feiping Nie, Heng Huang |
| 2013 | AAAI | Supervised and Projected Sparse Coding for Image Classification. | Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2013 | CVPR | Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. | Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2013 | ICCV | New Graph Structured Sparsity Model for Multi-label Image Annotations. | Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang |
| 2013 | ICCV | Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model. | Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang |
| 2013 | ICCV | Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization. | Hua Wang, Feiping Nie, Weidong Cai, Heng Huang |
| 2013 | ICML | Robust and Discriminative Self-Taught Learning. | Hua Wang, Feiping Nie, Heng Huang |
| 2013 | ICML | Multi-View Clustering and Feature Learning via Structured Sparsity. | Hua Wang, Feiping Nie, Heng Huang |
| 2013 | IJCAI | Exact Top-k Feature Selection via l2, 0-Norm Constraint. | Xiao Cai, Feiping Nie, Heng Huang |
| 2013 | IJCAI | Multi-View K-Means Clustering on Big Data. | Xiao Cai, Feiping Nie, Heng Huang |
| 2013 | IJCAI | Social Trust Prediction Using Rank-k Matrix Recovery. | Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding |
| 2013 | IJCAI | Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. | Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2013 | IJCAI | Early Active Learning via Robust Representation and Structured Sparsity. | Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2013 | IJCAI | Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2013 | IUI | Towards adaptive dialogue systems for assistive living environments. | Alexandros Papangelis, Vangelis Karkaletsis, Heng Huang |
| 2013 | KDD | On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions. | Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang |
| 2013 | MICCAI | A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. | Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen |
| 2012 | AAAI | Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. | Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2012 | CIKM | Trust prediction via aggregating heterogeneous social networks. | Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu |
| 2012 | CVPR | Multi-label ReliefF and F-statistic feature selections for image annotation. | Deguang Kong, Chris H. Q. Ding, Heng Huang, Haifeng Zhao |
| 2012 | CVPR | 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 |
| 2012 | CVPR | Robust and discriminative distance for Multi-Instance Learning. | Hua Wang, Feiping Nie, Heng Huang |
| 2012 | ECCV | Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph. | Xiao Cai, Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2012 | ICDM | Parallelization with Multiplicative Algorithms for Big Data Mining. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2012 | ICDM | Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. | Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding |
| 2012 | ICML | An Iterative Locally Linear Embedding Algorithm. | Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie |
| 2012 | ISM | Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Multi-task Learning. | Hua Wang, Dhiraj Joshi, Jiebo Luo, Heng Huang, Minwoo Park |
| 2012 | MICCAI | Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes. | Hanbo Chen, Xiao Cai, Dajiang Zhu, Feiping Nie, Tianming Liu, Heng Huang |
| 2011 | AAAI | Linear Discriminant Analysis: New Formulations and Overfit Analysis. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2011 | AAAI | Multi-Level Cluster Indicator Decompositions of Matrices and Tensors. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2011 | AAAI | Learning Instance Specific Distance for Multi-Instance Classification. | Hua Wang, Feiping Nie, Heng Huang |
| 2011 | CIKM | Robust nonnegative matrix factorization using L21-norm. | Deguang Kong, Chris H. Q. Ding, Heng Huang |
| 2011 | CIKM | Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. | Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang |
| 2011 | CIKM | Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2011 | CVPR | Heterogeneous image feature integration via multi-modal spectral clustering. | Xiao Cai, Feiping Nie, Heng Huang, Farhad Kamangar |
| 2011 | CVPR | Image annotation using bi-relational graph of images and semantic labels. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2011 | ICCV | Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval. | Dijun Luo, Heng Huang, Chris H. Q. Ding |
| 2011 | ICCV | Unsupervised and semi-supervised learning via ℓ1-norm graph. | Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2011 | ICCV | Dyadic transfer learning for cross-domain image classification. | Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2011 | ICCV | 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 |
| 2011 | ICDE | Consensus spectral clustering in near-linear time. | Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie |
| 2011 | ICDM | Multi-Class L2, 1-Norm Support Vector Machine. | Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2011 | ICDM | Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. | Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding |
| 2011 | ICML | Cauchy Graph Embedding. | Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang |
| 2011 | IJCAI | Cluster Indicator Decomposition for Efficient Matrix Factorization. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2011 | IJCAI | Ball Ranking Machine for Content-Based Multimedia Retrieval. | Dijun Luo, Heng Huang |
| 2011 | IJCAI | Robust Principal Component Analysis with Non-Greedy l | Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang |
| 2011 | IJCAI | Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering. | Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon |
| 2010 | AAAI | Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor. | Hua Wang, Chris H. Q. Ding, Heng Huang |
| 2010 | AAAI | Discriminant Laplacian Embedding. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2010 | ECCV | Multi-label Linear Discriminant Analysis. | Hua Wang, Chris H. Q. Ding, Heng Huang |
| 2010 | ECCV | Image Categorization Using Directed Graphs. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2010 | ECCV | Multi-label Feature Transform for Image Classifications. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2010 | ICDM | Towards Structural Sparsity: An Explicit l2/l0 Approach. | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2009 | CVPR | Symmetric two dimensional linear discriminant analysis (2DLDA). | Dijun Luo, Chris H. Q. Ding, Heng Huang |
| 2009 | ICCV | Image annotation using multi-label correlated Green's function. | Hua Wang, Heng Huang, Chris H. Q. Ding |
| 2009 | ICDM | Non-negative Laplacian Embedding. | Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li |
| 2008 | CVPR | Tensor reduction error analysis - Applications to video compression and classification. | Chris H. Q. Ding, Heng Huang, Dijun Luo |
| 2008 | CVPR | Robust tensor factorization using R1 norm. | Heng Huang, Chris H. Q. Ding |
| 2008 | KDD | Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering. | Heng Huang, Chris H. Q. Ding, Dijun Luo, Tao Li |
| 2007 | BIBE | A New Hybrid Technique for Dermatological Image Registration. | Heng Huang, Paul R. Bergstresser |
| 2007 | BIBE | A New Smoothing Model for Analyzing Array CGH Data. | Nha Nguyen, Heng Huang, Soontorn Oraintara, An P. N. Vo |
| 2007 | BIBE | Denoising of Array-Based DNA Copy Number Data Using The Dual-tree Complex Wavelet Transform. | Nha Nguyen, Heng Huang, Soontorn Oraintara, Yuhang Wang |
| 2007 | BIBE | Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. | Li Shen, Andrew J. Saykin, Moo K. Chung, Heng Huang |
| 2007 | ICIP | Surface Harmonics for Shape Modeling. | Heng Huang, Li Shen |
| 2005 | MICCAI | Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis. | Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman |
| 2005 | MICCAI | A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis. | Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman |
| 2004 | IGARSS | Post-classification smoothing of digital classification map of St. Louis, Missouri. | Heng Huang, Justin J. Legarsky, Srikanth Gudimetla, Curt H. Davis |