| 2026 | ACL | Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment. | Haozhong Wang, Zhuo Li, Yibo Yang, He Zhao, Hongyuan Zha, Dandan Guo |
| 2025 | AISTATS | Multi-Agent Credit Assignment with Pretrained Language Models. | Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hongyuan Zha |
| 2025 | CVPR | Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration. | Jiani Ni, He Zhao, Jintong Gao, Dandan Guo, Hongyuan Zha |
| 2025 | ICCV | Backdoor Mitigation by Distance-Driven Detoxification. | Shaokui Wei, Jiayin Liu, Hongyuan Zha |
| 2025 | ICLR | A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations. | Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu |
| 2025 | ICML | Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning. | Yang Li, Jiale Ma, Yebin Yang, Qitian Wu, Hongyuan Zha, Junchi Yan |
| 2025 | ICML | Reward Translation via Reward Machine in Semi-Alignable MDPs. | Yun Hua, Haosheng Chen, Wenhao Li, Bo Jin, Baoxiang Wang, Hongyuan Zha, Xiangfeng Wang |
| 2024 | AAAI | Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. | Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu |
| 2024 | AAAI | A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs. | Sikun Yang, Hongyuan Zha |
| 2024 | ICML | Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification. | Jintong Gao, He Zhao, Dandan Guo, Hongyuan Zha |
| 2024 | ICML | 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 |
| 2024 | IJCAI | Carbon Market Simulation with Adaptive Mechanism Design. | Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang Wang |
| 2023 | AISTATS | Mean Parity Fair Regression in RKHS. | Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha |
| 2023 | AISTATS | Reinforcement Learning for Adaptive Mesh Refinement. | Jiachen Yang, Tarik Dzanic, Brenden K. Petersen, Jun Kudo, Ketan Mittal, Vladimir Z. Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio V. Kolev, Robert W. Anderson, Daniel M. Faissol |
| 2023 | ICDE | Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). | Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha |
| 2023 | ICML | Hierarchical Diffusion for Offline Decision Making. | Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha |
| 2023 | ICML | 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 |
| 2023 | UAI | Low-rank matrix recovery with unknown correspondence. | Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha |
| 2023 | SDM | Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. | Sikun Yang, Hongyuan Zha |
| 2022 | AAAI | Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification. | Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha |
| 2022 | ICLR | Learning Prototype-oriented Set Representations for Meta-Learning. | Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha |
| 2022 | ICLR | Dealing with Non-Stationarity in MARL via Trust-Region Decomposition. | Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha |
| 2022 | ICLR | Sqrt(d) Dimension Dependence of Langevin Monte Carlo. | Ruilin Li, Hongyuan Zha, Molei Tao |
| 2022 | ICML | Hessian-Free High-Resolution Nesterov Acceleration For Sampling. | Ruilin Li, Hongyuan Zha, Molei Tao |
| 2022 | IJCAI | 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 |
| 2022 | ICRA | Multi-Agent Path Finding with Prioritized Communication Learning. | Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang |
| 2022 | NAACL | Self-Training with Differentiable Teacher. | Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha |
| 2021 | AAAI | Graph-Based Tri-Attention Network for Answer Ranking in CQA. | Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang |
| 2021 | AAAI | Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. | Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha |
| 2021 | AAAI | Learning Graphons via Structured Gromov-Wasserstein Barycenters. | Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha |
| 2021 | ICLR | A Hypergradient Approach to Robust Regression without Correspondence. | Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha |
| 2021 | ICML | Learning Stochastic Behaviour from Aggregate Data. | Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou |
| 2021 | ICML | Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. | Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha |
| 2021 | KDD | HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. | Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha |
| 2020 | AAAI | Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. | Qianming Xue, Wei Zhang, Hongyuan Zha |
| 2020 | AAAI | 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 |
| 2020 | DASFAA | Sequential Multi-fusion Network for Multi-channel Video CTR Prediction. | Wen Wang, Wei Zhang, Wei Feng, Hongyuan Zha |
| 2020 | ECCV | AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. | Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha |
| 2020 | ICLR | Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. | Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha |
| 2020 | ICLR | CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. | Jiachen Yang, Alireza Nakhaei, David Isele, Kikuo Fujimura, Hongyuan Zha |
| 2020 | ICLR | Single Episode Policy Transfer in Reinforcement Learning. | Jiachen Yang, Brenden K. Petersen, Hongyuan Zha, Daniel M. Faissol |
| 2020 | ICML | GraphOpt: Learning Optimization Models of Graph Formation. | Rakshit S. Trivedi, Jiachen Yang, Hongyuan Zha |
| 2020 | ICML | Transformer Hawkes Process. | Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha |
| 2020 | ICPR | VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing. | Xin Li, Xiangfeng Wang, Bo Jin, Wenjie Zhang, Jun Wang, Hongyuan Zha |
| 2020 | ICPR | Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. | Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha |
| 2020 | WWW | Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. | Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha |
| 2020 | WWW | Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. | Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha |
| 2020 | SIGIR | Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. | Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha |
| 2019 | CHI | Visualizing Uncertainty and Alternatives in Event Sequence Predictions. | Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao |
| 2019 | ICDM | Learning Robust Representations with Graph Denoising Policy Network. | Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen |
| 2019 | ICLR | DyRep: Learning Representations over Dynamic Graphs. | Rakshit S. Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha |
| 2019 | ICLR | On Scalable and Efficient Computation of Large Scale Optimal Transport. | Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha |
| 2019 | ICML | On Scalable and Efficient Computation of Large Scale Optimal Transport. | Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha |
| 2019 | ICML | Gromov-Wasserstein Learning for Graph Matching and Node Embedding. | Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin |
| 2019 | IJCAI | Joint Link Prediction and Network Alignment via Cross-graph Embedding. | Xingbo Du, Junchi Yan, Hongyuan Zha |
| 2019 | SIGIR | Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. | Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha |
| 2019 | UAI | A Fast Proximal Point Method for Computing Exact Wasserstein Distance. | Yujia Xie, Xiangfeng Wang, Ruijia Wang, Hongyuan Zha |
| 2018 | AAAI | Learning Conditional Generative Models for Temporal Point Processes. | Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha |
| 2018 | AAAI | Tau-FPL: Tolerance-Constrained Learning in Linear Time. | Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha |
| 2018 | ACL | LinkNBed: Multi-Graph Representation Learning with Entity Linkage. | Rakshit S. Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha |
| 2018 | CVPR | Iterative Learning With Open-Set Noisy Labels. | Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia |
| 2018 | DASFAA | Personalized Prescription for Comorbidity. | Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha |
| 2018 | ICLR | Learning Deep Mean Field Games for Modeling Large Population Behavior. | Jiachen Yang, Xiaojing Ye, Rakshit S. Trivedi, Huan Xu, Hongyuan Zha |
| 2018 | ICML | Learning Registered Point Processes from Idiosyncratic Observations. | Hongteng Xu, Lawrence Carin, Hongyuan Zha |
| 2018 | IJCAI | Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. | Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha |
| 2018 | IJCAI | Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. | Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha |
| 2018 | IJCAI | Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. | Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha |
| 2018 | KDD | Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. | Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha |
| 2018 | KDD | Decoupled Learning for Factorial Marked Temporal Point Processes. | Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha |
| 2018 | WWW | COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. | Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song |
| 2018 | WWW | User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction. | Wei Zhang, Wen Wang, Jun Wang, Hongyuan Zha |
| 2018 | SIGIR | Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia. | Wenwei Liang, Wei Zhang, Bo Jin, Jiangjiang Xu, Linhua Shu, Hongyuan Zha |
| 2018 | UAI | Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. | Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha |
| 2018 | WSDM | Sequential Recommendation with User Memory Networks. | Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha |
| 2017 | AAAI | ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. | Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha |
| 2017 | AAAI | On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. | Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu |
| 2017 | AAAI | Self-Paced Multi-Task Learning. | Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha |
| 2017 | AAAI | Unsupervised Deep Learning for Optical Flow Estimation. | Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha |
| 2017 | AAAI | Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. | Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu |
| 2017 | AAAI | Correlated Cascades: Compete or Cooperate. | Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha |
| 2017 | AISTATS | Linking Micro Event History to Macro Prediction in Point Process Models. | Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song |
| 2017 | CVPR | Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. | Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha |
| 2017 | ICDE | Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract). | Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang |
| 2017 | ICDE | Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). | Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha |
| 2017 | ICML | Fake News Mitigation via Point Process Based Intervention. | Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha |
| 2017 | ICML | Learning Hawkes Processes from Short Doubly-Censored Event Sequences. | Hongteng Xu, Dixin Luo, Hongyuan Zha |
| 2017 | KDD | Recurrent Poisson Factorization for Temporal Recommendation. | Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee |
| 2017 | MSWIM | Inferring Private Demographics of New Users in Recommender Systems. | Mingxuan Sun, Changbin Li, Hongyuan Zha |
| 2017 | WWW | Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. | Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha |
| 2016 | ICML | Learning Granger Causality for Hawkes Processes. | Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha |
| 2016 | IJCAI | Household Structure Analysis via Hawkes Processes for Enhancing Energy Disaggregation. | Liangda Li, Hongyuan Zha |
| 2016 | IJCAI | 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 |
| 2016 | IJCAI | 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 |
| 2016 | ICPR | A constrained clustering based approach for matching a collection of feature sets. | Junchi Yan, Zhe Ren, Hongyuan Zha, Stephen M. Chu |
| 2016 | WWW | Behavior Driven Topic Transition for Search Task Identification. | Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha |
| 2015 | AAAI | Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process. | Liangda Li, Hongyuan Zha |
| 2015 | AAAI | Dictionary Learning with Mutually Reinforcing Group-Graph Structures. | Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu |
| 2015 | AAAI | Active Manifold Learning via Gershgorin Circle Guided Sample Selection. | Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport |
| 2015 | AAAI | Multi-View Point Registration via Alternating Optimization. | Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu |
| 2015 | AAAI | 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 |
| 2015 | AAAI | Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision. | Yi Zhen, Piyush Rai, Hongyuan Zha, Lawrence Carin |
| 2015 | AISTATS | 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 |
| 2015 | CVPR | Discrete hyper-graph matching. | Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu |
| 2015 | ICCV | Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage. | Hongteng Xu, Yang Zhou, Weiyao Lin, Hongyuan Zha |
| 2015 | ICCV | A Matrix Decomposition Perspective to Multiple Graph Matching. | Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu |
| 2015 | IJCAI | Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences. | Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang |
| 2015 | IJCAI | Portfolio Choices with Orthogonal Bandit Learning. | Weiwei Shen, Jun Wang, Yu-Gang Jiang, Hongyuan Zha |
| 2015 | IJCAI | Trailer Generation via a Point Process-Based Visual Attractiveness Model. | Hongteng Xu, Yi Zhen, Hongyuan Zha |
| 2015 | WWW | Co-evolutionary Dynamics of Information Diffusion and Network Structure. | Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song |
| 2015 | SIGIR | Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes. | Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates |
| 2015 | SDM | NetCodec: Community Detection from Individual Activities. | Long Q. Tran, Mehrdad Farajtabar, Le Song, Hongyuan Zha |
| 2014 | AAAI | Learning Parametric Models for Social Infectivity in Multi-Dimensional Hawkes Processes. | Liangda Li, Hongyuan Zha |
| 2014 | CVPR | Manifold Based Dynamic Texture Synthesis from Extremely Few Samples. | Hongteng Xu, Hongyuan Zha, Mark A. Davenport |
| 2014 | ECCV | Graduated Consistency-Regularized Optimization for Multi-graph Matching. | Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, Stephen Mingyu Chu |
| 2014 | KDD | Identifying and labeling search tasks via query-based hawkes processes. | Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha |
| 2014 | WWW | To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. | Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park |
| 2014 | WSDM | Understanding and promoting micro-finance activities in Kiva.org. | Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, Haesun Park |
| 2013 | AISTATS | Uncover Topic-Sensitive Information Diffusion Networks. | Nan Du, Le Song, Hyenkyun Woo, Hongyuan Zha |
| 2013 | AISTATS | Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes. | Ke Zhou, Hongyuan Zha, Le Song |
| 2013 | CIKM | Dyadic event attribution in social networks with mixtures of hawkes processes. | Liangda Li, Hongyuan Zha |
| 2013 | ICCV | Manifold Based Face Synthesis from Sparse Samples. | Hongteng Xu, Hongyuan Zha |
| 2013 | ICCV | Joint Optimization for Consistent Multiple Graph Matching. | Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu |
| 2013 | ICML | Mixture of Mutually Exciting Processes for Viral Diffusion. | Shuang-Hong Yang, Hongyuan Zha |
| 2013 | ICML | Learning Triggering Kernels for Multi-dimensional Hawkes Processes. | Ke Zhou, Hongyuan Zha, Le Song |
| 2013 | IJCAI | Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation. | Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong |
| 2013 | WWW | Cost-effective node monitoring for online hot eventdetection in sina weibo microblogging. | Kai Chen, Yi Zhou, Hongyuan Zha, Jianhua He, Pei Shen, Xiaokang Yang |
| 2013 | WSDM | Learning multiple-question decision trees for cold-start recommendation. | Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha |
| 2012 | AMIA | Utility of a Clinical Support Tool for Outpatient Evaluation of Pediatric Chest Pain. | Thomas Perry, Hongyuan Zha, Matthew Oster, Patricio Frias, Mark L. Braunstein |
| 2012 | CIKM | Collaborative ranking: improving the relevance for tail queries. | Ke Zhou, Xin Li, Hongyuan Zha |
| 2012 | ECCV | On the Convergence of Graph Matching: Graduated Assignment Revisited. | Yu Tian, Junchi Yan, Hequan Zhang, Ya Zhang, Xiaokang Yang, Hongyuan Zha |
| 2012 | KDD | Learning binary codes for collaborative filtering. | Ke Zhou, Hongyuan Zha |
| 2012 | SIGIR | Friend or frenemy?: predicting signed ties in social networks. | Shuang-Hong Yang, Alexander J. Smola, Bo Long, Hongyuan Zha, Yi Chang |
| 2012 | VCIP | Inferring user image-search goals by mining query logs with semi-supervised spectral clustering. | Zheng Lu, Xiaokang Yang, Weiyao Lin, Xiaoling Chen, Hongyuan Zha |
| 2011 | WWW | Video summarization via transferrable structured learning. | Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu |
| 2011 | WWW | Like like alike: joint friendship and interest propagation in social networks. | Shuang-Hong Yang, Bo Long, Alexander J. Smola, Narayanan Sadagopan, Zhaohui Zheng, Hongyuan Zha |
| 2011 | SIGIR | Collaborative competitive filtering: learning recommender using context of user choice. | Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hongyuan Zha, Zhaohui Zheng |
| 2011 | SIGIR | Functional matrix factorizations for cold-start recommendation. | Ke Zhou, Shuang-Hong Yang, Hongyuan Zha |
| 2011 | VCIP | Inferring users' image-search goals with pseudo-images. | Zheng Lu, Xiaokang Yang, Weiyao Lin, Xiaoling Chen, Hongyuan Zha |
| 2010 | CIKM | Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains. | Zhenzhen Kou, Yi Chang, Zhaohui Zheng, Hongyuan Zha |
| 2010 | CIKM | Language pyramid and multi-scale text analysis. | Shuang-Hong Yang, Hongyuan Zha |
| 2010 | WWW | Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM. | Jiang Bian, Xin Li, Fan Li, Zhaohui Zheng, Hongyuan Zha |
| 2010 | WWW | Time is of the essence: improving recency ranking using Twitter data. | Anlei Dong, Ruiqiang Zhang, Pranam Kolari, Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Hongyuan Zha |
| 2010 | UAI | Hybrid Generative/Discriminative Learning for Automatic Image Annotation. | Shuang-Hong Yang, Jiang Bian, Hongyuan Zha |
| 2010 | WSDM | Ranking with query-dependent loss for web search. | Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha |
| 2009 | CIKM | Multi-task learning for learning to rank in web search. | Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Gordon Sun, Belle L. Tseng, Zhaohui Zheng, Yi Chang |
| 2009 | CIKM | Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions. | Mingrui Wu, Yi Chang, Zhaohui Zheng, Hongyuan Zha |
| 2009 | ICIP | Interpolating fine texturess with fields of experts prior. | Kai Guo, Xiaokang Yang, Rui Zhang, Songyu Yu, Hongyuan Zha |
| 2009 | WWW | Learning to recognize reliable users and content in social media with coupled mutual reinforcement. | Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichtein, Hongyuan Zha |
| 2009 | WWW | Enhancing diversity, coverage and balance for summarization through structure learning. | Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu |
| 2009 | WWW | Web-scale classification with naive bayes. | Congle Zhang, Gui-Rong Xue, Yong Yu, Hongyuan Zha |
| 2009 | SIGIR | Global ranking by exploiting user clicks. | Shihao Ji, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-Rong Xue, Olivier Chapelle, Gordon Sun, Hongyuan Zha |
| 2008 | CVPR | Spectral methods for semi-supervised manifold learning. | Zhenyue Zhang, Hongyuan Zha, Min Zhang |
| 2008 | ICASSP | Learning object classes from image thumbnails through deep neural networks. | Erkang Chen, Xiaokang Yang, Hongyuan Zha, Rui Zhang, Wenjun Zhang |
| 2008 | ICDE | Adapting ranking functions to user preference. | Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, Gordon Sun |
| 2008 | WWW | Finding the right facts in the crowd: factoid question answering over social media. | Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyuan Zha |
| 2008 | WWW | Exploring social annotations for information retrieval. | Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, C. Lee Giles |
| 2008 | WWW | Learning multiple graphs for document recommendations. | Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles |
| 2008 | SIGIR | A scalable assistant librarian: hierarchical subject classification of books. | Steven P. Crain, Jian Huang, Hongyuan Zha |
| 2008 | SIGIR | Learning to rank with ties. | Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu |
| 2007 | BIBE | Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization. | Hyunsoo Kim, Haesun Park, Hongyuan Zha |
| 2007 | ICCS | Optimizing Surface Triangulation Via Near Isometry with Reference Meshes. | Xiangmin Jiao, Narasimha R. Bayyana, Hongyuan Zha |
| 2007 | ICDM | Discovering Temporal Communities from Social Network Documents. | Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee Giles |
| 2007 | ICDM | Co-ranking Authors and Documents in a Heterogeneous Network. | Ding Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. Lee Giles |
| 2007 | IJCAI | Learning User Clicks in Web Search. | Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, Hongyuan Zha |
| 2007 | SIGIR | Topic segmentation with shared topic detection and alignment of multiple documents. | Bingjun Sun, Prasenjit Mitra, C. Lee Giles, John Yen, Hongyuan Zha |
| 2007 | SIGIR | A regression framework for learning ranking functions using relative relevance judgments. | Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha |
| 2007 | SDM | Efficient Multiclass Boosting Classification with Active Learning. | Jian Huang, Seyda Ertekin, Yang Song, Hongyuan Zha, C. Lee Giles |
| 2007 | SDM | Distance Preserving Dimension Reduction for Manifold Learning. | Hyunsoo Kim, Haesun Park, Hongyuan Zha |
| 2007 | SDM | Conical Dimension as an Intrinsic Dimension Estimator and its Applications. | Xin Yang, Sebastien Michea, Hongyuan Zha |
| 2006 | CIKM | Multi-task text segmentation and alignment based on weighted mutual information. | Bingjun Sun, Ding Zhou, Hongyuan Zha, John Yen |
| 2006 | CIKM | Incorporating query difference for learning retrieval functions in world wide web search. | Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Sun |
| 2006 | CIKM | Topic evolution and social interactions: how authors effect research. | Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles |
| 2006 | ICDM | Boosting the Feature Space: Text Classification for Unstructured Data on the Web. | Yang Song, Ding Zhou, Jian Huang, Isaac G. Councill, Hongyuan Zha, C. Lee Giles |
| 2006 | ICML | Untitled record | Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha |
| 2006 | ICML | Semi-supervised nonlinear dimensionality reduction. | Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlow |
| 2006 | WWW | Probabilistic models for discovering e-communities. | Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, Hongyuan Zha |
| 2006 | SIGIR | Incorporating query difference for learning retrieval functions in information retrieval. | Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Sun |
| 2005 | CVPR | Protein Interaction Inference as a MAX-SAT Problem. | Ya Zhang, Hongyuan Zha, Chao-Hsien Chu, Xiang Ji |
| 2005 | ICASSP | Spectral analysis of alignment in manifold learning. | Hongyuan Zha, Zhenyue Zhang |
| 2005 | ICCV | Efficient Block Noise Removal Based on Nonlinear Manifolds. | Haoying Fu, Hongyuan Zha, Jesse L. Barlow |
| 2005 | ICML | A new Mallows distance based metric for comparing clusterings. | Ding Zhou, Jia Li, Hongyuan Zha |
| 2005 | ICMLA | Towards discovering organizational structure from email corpus. | Ding Zhou, Yang Song, Hongyuan Zha, Ya Zhang |
| 2005 | SAC | Rule-based word clustering for document metadata extraction. | Hui Han, Eren Manavoglu, Hongyuan Zha, Kostas Tsioutsiouliklis, C. Lee Giles, Xiangmin Zhang |
| 2005 | SAC | A hierarchical naive Bayes mixture model for name disambiguation in author citations. | Hui Han, Wei Xu, Hongyuan Zha, C. Lee Giles |
| 2004 | CVPR | Local Smoothing for Manifold Learning. | Jin Hyeong Park, Zhenyue Zhang, Hongyuan Zha, Rangachar Kasturi |
| 2004 | ECCV | Spectral Clustering for Robust Motion Segmentation. | Jin Hyeong Park, Hongyuan Zha, Rangachar Kasturi |
| 2004 | ICPR | Support Vector Clustering Combined with Spectral Graph Partitioning. | Jin Hyeong Park, Xiang Ji, Hongyuan Zha, Rangachar Kasturi |
| 2004 | UAI | Linear Contour Learning: A Method for Supervised Dimension Reduction. | Bing Li, Hongyuan Zha, Francesca Chiaromonte |
| 2003 | ICCCN | Robust sensor localization algorithm in wireless ad-hoc sensor networks. | Xiang Ji, Hongyuan Zha |
| 2003 | ICML | Isometric Embedding and Continuum ISOMAP. | Hongyuan Zha, Zhenyue Zhang |
| 2003 | IDEAL | Nonlinear Dimension Reduction via Local Tangent Space Alignment. | Zhenyue Zhang, Hongyuan Zha |
| 2003 | PAKDD | Extracting Shared Topics of Multiple Documents. | Xiang Ji, Hongyuan Zha |
| 2003 | SIGIR | Rule-based word clustering for text classification. | Hui Han, Eren Manavoglu, C. Lee Giles, Hongyuan Zha |
| 2003 | SIGIR | Domain-independent text segmentation using anisotropic diffusion and dynamic programming. | Xiang Ji, Hongyuan Zha |
| 2003 | SENSYS | Multidimensional scaling based sensor positioning algorithms in wireless sensor networks. | Xiang Ji, Hongyuan Zha |
| 2003 | SDM | PageRank: HITS and a Unified Framework for Link Analysis. | Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon |
| 2002 | ICDM | Adaptive dimension reduction for clustering high dimensional data. | Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon |
| 2002 | SIGIR | PageRank, HITS and a unified framework for link analysis. | Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon |
| 2002 | SIGIR | Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering. | Hongyuan Zha |
| 2002 | SIGIR | Correlating multilingual documents via bipartite graph modeling. | Hongyuan Zha, Xiang Ji |
| 2001 | CIKM | Bipartite Graph Partitioning and Data Clustering. | Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon |
| 2001 | ICDM | A Min-max Cut Algorithm for Graph Partitioning and Data Clustering. | Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon |
| 2001 | ICDM | Automatic Topic Identification Using Webpage Clustering. | Xiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon |
| 2001 | KDD | A spectral method to separate disconnected and nearly-disconnected web graph components. | Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha |