Zha, Hongyuan

142 publications

ICLR 2025 A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu

ICCV 2025 Backdoor Mitigation by Distance-Driven Detoxification Shaokui Wei, Jiayin Liu, Hongyuan Zha

CVPR 2025 Balancing Two Classifiers via a Simplex ETF Structure for Model Calibration Jiani Ni, He Zhao, Jintong Gao, Dandan Guo, Hongyuan Zha

TMLR 2025 Diverse Condensed Data Generation via Class Preserving Distribution Matching Dandan Guo, Zhuo Li, He Zhao, Mingyuan Zhou, Hongyuan Zha

ICML 2025 Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning Yang Li, Jiale Ma, Yebin Yang, Qitian Wu, Hongyuan Zha, Junchi Yan

NeurIPS 2025 LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas Yun Hua, Shang Gao, Wenhao Li, Haosheng Chen, Bo Jin, Xiangfeng Wang, Jun Luo, Hongyuan Zha

AISTATS 2025 Multi-Agent Credit Assignment with Pretrained Language Models Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hongyuan Zha

ICML 2025 Reward Translation via Reward Machine in Semi-Alignable MDPs Yun Hua, Haosheng Chen, Wenhao Li, Bo Jin, Baoxiang Wang, Hongyuan Zha, Xiangfeng Wang

TMLR 2025 Synthesizing Minority Samples for Long-Tailed Classification via Distribution Matching Zhuo Li, He Zhao, Jinke Ren, Anningzhe Gao, Dandan Guo, Xiang Wan, Hongyuan Zha

AAAI 2024 A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs Sikun Yang, Hongyuan Zha

ICML 2024 Beyond Point Prediction: Score Matching-Based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process Zichong Li, Qunzhi Xu, Zhenghao Xu, Yajun Mei, Tuo Zhao, Hongyuan Zha

IJCAI 2024 Carbon Market Simulation with Adaptive Mechanism Design Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang Wang

ICML 2024 Distribution Alignment Optimization Through Neural Collapse for Long-Tailed Classification Jintong Gao, He Zhao, Dan Dan Guo, Hongyuan Zha

NeurIPS 2024 Fast T2T: Optimization Consistency Speeds up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan

AAAI 2024 Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu

NeurIPS 2024 Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor Shaokui Wei, Hongyuan Zha, Baoyuan Wu

NeurIPS 2024 Transfer Learning for Diffusion Models Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng

ICMLW 2024 Uncertainty-Aware Preference Alignment in Reinforcement Learning from Human Feedback Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu

JMLR 2023 F2A2: Flexible Fully-Decentralized Approximate Actor-Critic for Cooperative Multi-Agent Reinforcement Learning Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha

ICML 2023 Hierarchical Diffusion for Offline Decision Making Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha

NeurIPS 2023 Information Design in Multi-Agent Reinforcement Learning Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang

TMLR 2023 Learning to Boost Resilience of Complex Networks via Neural Edge Rewiring Shanchao Yang, Ma Kaili, Baoxiang Wang, Tianshu Yu, Hongyuan Zha

UAI 2023 Low-Rank Matrix Recovery with Unknown Correspondence Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha

AISTATS 2023 Mean Parity Fair Regression in RKHS Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha

NeurIPS 2023 Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu

AISTATS 2023 Reinforcement Learning for Adaptive Mesh Refinement Jiachen Yang, Tarik Dzanic, Brenden Petersen, Jun Kudo, Ketan Mittal, Vladimir Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio Kolev, Robert Anderson, Daniel Faissol

ICML 2023 SMURF-THP: Score Matching-Based UnceRtainty quantiFication for Transformer Hawkes Process Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha

NeurIPS 2023 Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu

NeurIPS 2022 Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha

ICLR 2022 Dealing with Non-Stationarity in MARL via Trust-Region Decomposition Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha

ICML 2022 Hessian-Free High-Resolution Nesterov Acceleration for Sampling Ruilin Li, Hongyuan Zha, Molei Tao

ICLR 2022 Learning Prototype-Oriented Set Representations for Meta-Learning Dan dan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha

NeurIPS 2022 Learning to Re-Weight Examples with Optimal Transport for Imbalanced Classification Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha

ICLR 2022 Sqrt(d) Dimension Dependence of Langevin Monte Carlo Ruilin Li, Hongyuan Zha, Molei Tao

AAAI 2022 Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha

IJCAI 2022 VMAgent: A Practical Virtual Machine Scheduling Platform Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang

ICLR 2021 A Hypergradient Approach to Robust Regression Without Correspondence Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha

NeurIPS 2021 Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators Qitian Wu, Rui Gao, Hongyuan Zha

AAAI 2021 Generalize a Small Pre-Trained Model to Arbitrarily Large TSP Instances Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha

AAAI 2021 Graph-Based Tri-Attention Network for Answer Ranking in CQA Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang

AAAI 2021 Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha

ICML 2021 Learning Stochastic Behaviour from Aggregate Data Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou

NeurIPS 2021 Random Noise Defense Against Query-Based Black-Box Attacks Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu

ICML 2021 Towards Open-World Recommendation: An Inductive Model-Based Collaborative Filtering Approach Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha

ECCV 2020 AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha

ICLR 2020 CM3: Cooperative Multi-Goal Multi-Stage Multi-Agent Reinforcement Learning Jiachen Yang, Alireza Nakhaei, David Isele, Kikuo Fujimura, Hongyuan Zha

NeurIPSW 2020 Differentiable Top-$k$ with Optimal Transport Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister

NeurIPS 2020 Differentiable Top-K with Optimal Transport Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister

ICML 2020 GraphOpt: Learning Optimization Models of Graph Formation Rakshit Trivedi, Jiachen Yang, Hongyuan Zha

AAAI 2020 Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning Qianming Xue, Wei Zhang, Hongyuan Zha

ICLR 2020 Infinite-Horizon Off-Policy Policy Evaluation with Multiple Behavior Policies Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha

AAAI 2020 Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha

NeurIPS 2020 Learning Strategic Network Emergence Games Rakshit Trivedi, Hongyuan Zha

NeurIPS 2020 Learning to Incentivize Other Learning Agents Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha

NeurIPS 2020 Network Diffusions via Neural Mean-Field Dynamics Shushan He, Hongyuan Zha, Xiaojing Ye

ICLR 2020 Single Episode Policy Transfer in Reinforcement Learning Jiachen Yang, Brenden Petersen, Hongyuan Zha, Daniel Faissol

ICLR 2020 Targeted Sampling of Enlarged Neighborhood via Monte Carlo Tree Search for TSP Zhang-Hua Fu, Kai-Bin Qiu, Meng Qiu, Hongyuan Zha

ICML 2020 Transformer Hawkes Process Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha

UAI 2019 A Fast Proximal Point Method for Computing Exact Wasserstein Distance Yujia Xie, Xiangfeng Wang, Ruijia Wang, Hongyuan Zha

ICLR 2019 DyRep: Learning Representations over Dynamic Graphs Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha

ICML 2019 Gromov-Wasserstein Learning for Graph Matching and Node Embedding Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin Duke

IJCAI 2019 Joint Link Prediction and Network Alignment via Cross-Graph Embedding Xingbo Du, Junchi Yan, Hongyuan Zha

JMLR 2019 Learning to Match via Inverse Optimal Transport Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha

NeurIPS 2019 Meta Learning with Relational Information for Short Sequences Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha

ICML 2019 On Scalable and Efficient Computation of Large Scale Optimal Transport Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha

ICLRW 2019 On Scalable and Efficient Computation of Large Scale Optimal Transport Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha

IJCAI 2018 Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha

IJCAI 2018 Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha

AAAI 2018 Learning Conditional Generative Models for Temporal Point Processes Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha

UAI 2018 Learning Deep Hidden Nonlinear Dynamics from Aggregate Data Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha

ICLR 2018 Learning Deep Mean Field Games for Modeling Large Population Behavior Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha

ICML 2018 Learning Registered Point Processes from Idiosyncratic Observations Hongteng Xu, Lawrence Carin, Hongyuan Zha

IJCAI 2018 Learning Sequential Correlation for User Generated Textual Content Popularity Prediction Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha

AAAI 2018 Tau-FPL: Tolerance-Constrained Learning in Linear Time Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha

NeurIPS 2017 A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering Hongteng Xu, Hongyuan Zha

JMLR 2017 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song

AAAI 2017 Correlated Cascades: Compete or Cooperate Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha

AAAI 2017 ERMMA: Expected Risk Minimization for Matrix Approximation-Based Recommender Systems Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha

ICML 2017 Fake News Mitigation via Point Process Based Intervention Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Khalil, Shuang Li, Le Song, Hongyuan Zha

CVPR 2017 Fractal Dimension Invariant Filtering and Its CNN-Based Implementation Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha

ICML 2017 Learning Hawkes Processes from Short Doubly-Censored Event Sequences Hongteng Xu, Dixin Luo, Hongyuan Zha

AISTATS 2017 Linking Micro Event History to Macro Prediction in Point Process Models Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song

AAAI 2017 Modeling the Intensity Function of Point Process via Recurrent Neural Networks Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu

AAAI 2017 On Predictive Patent Valuation: Forecasting Patent Citations and Their Types Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu

NeurIPS 2017 Predicting User Activity Level in Point Processes with Mass Transport Equation Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song

JMLR 2017 Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song

AAAI 2017 Self-Paced Multi-Task Learning Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha

AAAI 2017 Unsupervised Deep Learning for Optical Flow Estimation Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha

NeurIPS 2017 Wasserstein Learning of Deep Generative Point Process Models Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha

IJCAI 2016 Household Structure Analysis via Hawkes Processes for Enhancing Energy Disaggregation Liangda Li, Hongyuan Zha

ICML 2016 Learning Granger Causality for Hawkes Processes Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha

IJCAI 2016 Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha

NeurIPS 2016 Multistage Campaigning in Social Networks Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha

IJCAI 2016 On Modeling and Predicting Individual Paper Citation Count over Time Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha

ICCV 2015 A Matrix Decomposition Perspective to Multiple Graph Matching Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen Chu

AAAI 2015 Active Manifold Learning via Gershgorin Circle Guided Sample Selection Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport

AISTATS 2015 Back to the past: Source Identification in Diffusion Networks from Partially Observed Cascades Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song

NeurIPS 2015 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-Evolution Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez, Shuang Li, Hongyuan Zha, Le Song

AAAI 2015 Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, Lawrence Carin

AAAI 2015 Dictionary Learning with Mutually Reinforcing Group-Graph Structures Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu

CVPR 2015 Discrete Hyper-Graph Matching Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu

AAAI 2015 Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process Liangda Li, Hongyuan Zha

IJCAI 2015 Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang

AAAI 2015 Multi-View Point Registration via Alternating Optimization Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu

AAAI 2015 On Machine Learning Towards Predictive Sales Pipeline Analytics Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu, Xiaokang Yang

IJCAI 2015 Portfolio Choices with Orthogonal Bandit Learning Weiwei Shen, Jun Wang, Yu-Gang Jiang, Hongyuan Zha

IJCAI 2015 Trailer Generation via a Point Process-Based Visual Attractiveness Model Hongteng Xu, Yi Zhen, Hongyuan Zha

ICCV 2015 Unsupervised Trajectory Clustering via Adaptive Multi-Kernel-Based Shrinkage Hongteng Xu, Yang Zhou, Weiyao Lin, Hongyuan Zha

ECCV 2014 Graduated Consistency-Regularized Optimization for Multi-Graph Matching Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, Stephen Mingyu Chu

AAAI 2014 Learning Parametric Models for Social Infectivity in Multi-Dimensional Hawkes Processes Liangda Li, Hongyuan Zha

CVPR 2014 Manifold Based Dynamic Texture Synthesis from Extremely Few Samples Hongteng Xu, Hongyuan Zha, Mark A. Davenport

NeurIPS 2014 Shaping Social Activity by Incentivizing Users Mehrdad Farajtabar, Nan Du, Manuel Gomez Rodriguez, Isabel Valera, Hongyuan Zha, Le Song

ICCV 2013 Joint Optimization for Consistent Multiple Graph Matching Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu

AISTATS 2013 Learning Social Infectivity in Sparse Low-Rank Networks Using Multi-Dimensional Hawkes Processes Ke Zhou, Hongyuan Zha, Le Song

ICML 2013 Learning Triggering Kernels for Multi-Dimensional Hawkes Processes Ke Zhou, Hongyuan Zha, Le Song

ICCV 2013 Manifold Based Face Synthesis from Sparse Samples Hongteng Xu, Hongyuan Zha

ICML 2013 Mixture of Mutually Exciting Processes for Viral Diffusion Shuang-Hong Yang, Hongyuan Zha

NeurIPS 2013 Scalable Influence Estimation in Continuous-Time Diffusion Networks Nan Du, Le Song, Manuel Gomez Rodriguez, Hongyuan Zha

IJCAI 2013 Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong

AISTATS 2013 Uncover Topic-Sensitive Information Diffusion Networks Nan Du, Le Song, Hyenkyun Woo, Hongyuan Zha

ECCV 2012 On the Convergence of Graph Matching: Graduated Assignment Revisited Yu Tian, Junchi Yan, Hequan Zhang, Ya Zhang, Xiaokang Yang, Hongyuan Zha

AISTATS 2011 Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality Shuang–Hong Yang, Steven P. Crain, Hongyuan Zha

UAI 2010 Hybrid Generative/Discriminative Learning for Automatic Image Annotation Shuang-Hong Yang, Jiang Bian, Hongyuan Zha

NeurIPS 2009 Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora Shuang-hong Yang, Hongyuan Zha, Bao-gang Hu

ECML-PKDD 2009 Variational Graph Embedding for Globally and Locally Consistent Feature Extraction Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou, Bao-Gang Hu

NeurIPS 2008 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm Andrew Smith, Hongyuan Zha, Xiao-ming Wu

CVPR 2008 Spectral Methods for Semi-Supervised Manifold Learning Zhenyue Zhang, Hongyuan Zha, Min Zhang

NeurIPS 2007 A General Boosting Method and Its Application to Learning Ranking Functions for Web Search Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun

IJCAI 2007 Learning User Clicks in Web Search Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, Hongyuan Zha

ICML 2006 R1-PCA: Rotational Invariant L1-Norm Principal Component Analysis for Robust Subspace Factorization Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha

ICML 2006 Semi-Supervised Nonlinear Dimensionality Reduction Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlow

NeurIPS 2005 A Domain Decomposition Method for Fast Manifold Learning Zhenyue Zhang, Hongyuan Zha

ICML 2005 A New Mallows Distance Based Metric for Comparing Clusterings Ding Zhou, Jia Li, Hongyuan Zha

ICCV 2005 Efficient Block Noise Removal Based on Nonlinear Manifolds Haoying Fu, Hongyuan Zha, Jesse L. Barlow

CVPR 2005 Protein Interaction Inference as a MAX-SAT Problem Ya Zhang, Hongyuan Zha, Chao-Hsien Chu, Xiang Ji

CVPRW 2005 Protein Interaction Inference as a MAX-SAT Problem Ya Zhang, Hongyuan Zha, Chao-Hsien Chu, Xiang Ji

NeurIPS 2004 Adaptive Manifold Learning Jing Wang, Zhenyue Zhang, Hongyuan Zha

UAI 2004 Linear Contour Learning: A Method for Supervised Dimension Reduction Bing Li, Hongyuan Zha, Francesca Chiaromonte

CVPR 2004 Local Smoothing for Manifold Learning Jin Hyeong Park, Zhenyue Zhang, Hongyuan Zha, Rangachar Kasturi

ECCV 2004 Spectral Clustering for Robust Motion Segmentation Jin Hyeong Park, Hongyuan Zha, Rangachar Kasturi

ICML 2003 Isometric Embedding and Continuum ISOMAP Hongyuan Zha, Zhenyue Zhang

NeurIPS 2001 Spectral Relaxation for K-Means Clustering Hongyuan Zha, Xiaofeng He, Chris Ding, Ming Gu, Horst D. Simon