Hongyuan Zha - RankMe

512 papers A* 146A 42B 8C 5Misc 6Journal 238Unranked 65

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alignment of Diffusion Model and Flow Matching for Text-to-Image Generation. CoRR Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng
2026	J	`jnl`	Calibrating Tabular Anomaly Detection via Optimal Transport. CoRR Hangting Ye, He Zhao, Wei Fan, Xiaozhuang Song, Dandan Guo, Yi Chang, Hongyuan Zha
2026	J	`jnl`	Corrected Samplers for Discrete Flow Models. CoRR Zhengyan Wan, Yidong Ouyang, Liyan Xie, Fang Fang, Hongyuan Zha, Guang Cheng
2026	J	`jnl`	Epistemic Gain, Aleatoric Cost: Uncertainty Decomposition in Multi-Agent Debate for Math Reasoning. CoRR Dan Qiao, Binbin Chen, Fengyu Cai, Jianlong Chen, Wenhao Li, Fuxin Jiang, Zuzhi Chen, Hongyuan Zha, Tieying Zhang, Baoxiang Wang
2026	J	`jnl`	Learning Roles With Emergent Social Value Orientations. IEEE Trans. Pattern Anal. Mach. Intell. Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha
2026	J	`jnl`	MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning. CoRR Yiyang Lu, Yu He, Jianlong Chen, Hongyuan Zha
2026	J	`jnl`	Milestones over Outcome: Unlocking Geometric Reasoning with Sub-Goal Verifiable Reward. CoRR Jianlong Chen, Daocheng Fu, Shengze Xu, Jiawei Chen, Yuan Feng, Yue Yang, Junchi Yan, Hongyuan Zha, Renqiu Xia
2026	J	`jnl`	Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment. CoRR Haozhong Wang, Zhuo Li, Yibo Yang, He Zhao, Hongyuan Zha, Dandan Guo
2026	J	`jnl`	Talk, Judge, Cooperate: Gossip-Driven Indirect Reciprocity in Self-Interested LLM Agents. CoRR Shuhui Zhu, Yue Lin, Shriya Kaistha, Wenhao Li, Baoxiang Wang, Hongyuan Zha, Gillian K. Hadfield, Pascal Poupart
2026	J	`jnl`	Training-Free Self-Correction for Multimodal Masked Diffusion Models. CoRR Yidong Ouyang, Panwen Hu, Zhengyan Wan, Zhe Wang, Liyan Xie, Dmitriy Bespalov, Ying Nian Wu, Guang Cheng, Hongyuan Zha, Qiang Sun
2025	A*	`conf`	A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations. ICLR Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu
2025	A*	`conf`	Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration. CVPR Jiani Ni, He Zhao, Jintong Gao, Dandan Guo, Hongyuan Zha
2025	J	`jnl`	Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration. CoRR Jiani Ni, He Zhao, Jintong Gao, Dandan Guo, Hongyuan Zha
2025	J	`jnl`	CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling. CoRR Zhengyang Tang, Zihan Ye, Chenyu Huang, Xuhan Huang, Chengpeng Li, Sihang Li, Guanhua Chen, Ming Yan, Zizhuo Wang, Hongyuan Zha, Dayiheng Liu, Benyou Wang
2025	J	`jnl`	Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features. CoRR Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2025	J	`jnl`	Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching. CoRR Zhengyan Wan, Yidong Ouyang, Liyan Xie, Fang Fang, Hongyuan Zha, Guang Cheng
2025	J	`jnl`	Diverse Condensed Data Generation via Class Preserving Distribution Matching. Trans. Mach. Learn. Res. Dandan Guo, Zhuo Li, He Zhao, Mingyuan Zhou, Hongyuan Zha
2025	J	`jnl`	Error Analysis of Discrete Flow with Generator Matching. CoRR Zhengyan Wan, Yidong Ouyang, Qiang Yao, Liyan Xie, Fang Fang, Hongyuan Zha, Guang Cheng
2025	J	`jnl`	Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization. CoRR Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan
2025	A*	`conf`	Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning. ICML Yang Li, Jiale Ma, Yebin Yang, Qitian Wu, Hongyuan Zha, Junchi Yan
2025	J	`jnl`	Information Bargaining: Bilateral Commitment in Bayesian Persuasion. CoRR Yue Lin, Shuhui Zhu, William A. Cunningham, Wenhao Li, Pascal Poupart, Hongyuan Zha, Baoxiang Wang
2025	J	`jnl`	LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis. CoRR Hangting Ye, Jinmeng Li, He Zhao, Mingchen Zhuge, Dandan Guo, Yi Chang, Hongyuan Zha
2025	J	`jnl`	Learning Temporal Features With Alternated Similarity and Proximity Attention for Time-Series Prediction. IEEE Trans. Neural Networks Learn. Syst. Jingyang Chen, Ping Li, Jiancheng Lv, Hongyuan Zha, Kai Zhang, Jie Zhang
2025	A	`conf`	Multi-Agent Credit Assignment with Pretrained Language Models. AISTATS Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hongyuan Zha
2025	A	`conf`	Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. AAMAS Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
2025	J	`jnl`	Offline Multi-agent Reinforcement Learning via Score Decomposition. CoRR Dan Qiao, Wenhao Li, Shanchao Yang, Hongyuan Zha, Baoxiang Wang
2025	J	`jnl`	Policy-Conditioned Policies for Multi-Agent Task Solving. CoRR Yue Lin, Shuhui Zhu, Wenhao Li, Ang Li, Dan Qiao, Pascal Poupart, Hongyuan Zha, Baoxiang Wang
2025	J	`jnl`	Revisiting the Auxiliary Data in Backdoor Purification. CoRR Shaokui Wei, Shanchao Yang, Jiayin Liu, Hongyuan Zha
2025	A*	`conf`	Reward Translation via Reward Machine in Semi-Alignable MDPs. ICML Yun Hua, Haosheng Chen, Wenhao Li, Bo Jin, Baoxiang Wang, Hongyuan Zha, Xiangfeng Wang
2025	J	`jnl`	Synthesizing Minority Samples for Long-tailed Classification via Distribution Matching. Trans. Mach. Learn. Res. Zhuo Li, He Zhao, Jinke Ren, Anningzhe Gao, Dandan Guo, Xiang Wan, Hongyuan Zha
2025	J	`jnl`	TextAtari: 100K Frames Game Playing with Language Agents. CoRR Wenhao Li, Wenwu Li, Chuyun Shen, Junjie Sheng, Zixiao Huang, Di Wu, Yun Hua, Wei Yin, Xiangfeng Wang, Hongyuan Zha, Bo Jin
2025	J	`jnl`	Verbalized Bayesian Persuasion. CoRR Wenhao Li, Yue Lin, Xiangfeng Wang, Bo Jin, Hongyuan Zha, Baoxiang Wang
2024	J	`jnl`	A Transformative Topological Representation for Link Modeling, Prediction and Cross-Domain Network Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Kai Zhang, Junchen Shen, Gaoqi He, Yu Sun, Haibin Ling, Hongyuan Zha, Honglin Li, Jie Zhang
2024	A*	`conf`	A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs. AAAI Sikun Yang, Hongyuan Zha
2024	J	`jnl`	Backdoor Mitigation by Distance-Driven Detoxification. CoRR Shaokui Wei, Jiayin Liu, Hongyuan Zha
2024	A*	`conf`	Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process. ICML Zichong Li, Qunzhi Xu, Zhenghao Xu, Yajun Mei, Tuo Zhao, Hongyuan Zha
2024	A*	`conf`	Carbon Market Simulation with Adaptive Mechanism Design. IJCAI Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang Wang
2024	J	`jnl`	Carbon Market Simulation with Adaptive Mechanism Design. CoRR Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang Wang
2024	A*	`conf`	Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification. ICML Jintong Gao, He Zhao, Dandan Guo, Hongyuan Zha
2024	A*	`conf`	Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization. NeurIPS Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan
2024	J	`jnl`	Learning Fair Representations via Distance Correlation Minimization. IEEE Trans. Neural Networks Learn. Syst. Dandan Guo, Chaojie Wang, Baoxiang Wang, Hongyuan Zha
2024	A*	`conf`	Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. AAAI Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu
2024	A*	`conf`	Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor. NeurIPS Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2024	J	`jnl`	Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor. CoRR Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2024	J	`jnl`	Reliable Off-Policy Evaluation for Reinforcement Learning. Oper. Res. Jie Wang, Rui Gao, Hongyuan Zha
2024	J	`jnl`	Robust Knowledge Adaptation for Dynamic Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Hanjie Li, Changsheng Li, Kaituo Feng, Ye Yuan, Guoren Wang, Hongyuan Zha
2024	A*	`conf`	Transfer Learning for Diffusion Models. NeurIPS Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng
2024	J	`jnl`	Transfer Learning for Diffusion Models. CoRR Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng
2023	J	`jnl`	Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym. CoRR Junjie Sheng, Zixiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hongyuan Zha, Xiangfeng Wang
2023	A*	`conf`	Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). ICDE Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2023	A	`conf`	Diverse Policy Optimization for Structured Action Space. AAMAS Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha
2023	J	`jnl`	Diverse Policy Optimization for Structured Action Space. CoRR Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha
2023	J	`jnl`	Dynamic Latent Graph-Guided Neural Temporal Point Processes. CoRR Sikun Yang, Hongyuan Zha
2023	A	`conf`	Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. SDM Sikun Yang, Hongyuan Zha
2023	J	`jnl`	F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. J. Mach. Learn. Res. Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2023	A*	`conf`	Hierarchical Diffusion for Offline Decision Making. ICML Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha
2023	J	`jnl`	Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
2023	A*	`conf`	Information Design in Multi-Agent Reinforcement Learning. NeurIPS Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang
2023	J	`jnl`	Information Design in Multi-Agent Reinforcement Learning. CoRR Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang
2023	A	`conf`	Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. AAMAS Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha
2023	J	`jnl`	Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. CoRR Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha
2023	J	`jnl`	Learning Roles with Emergent Social Value Orientations. CoRR Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha
2023	A	`conf`	Learning Structured Communication for Multi-Agent Reinforcement Learning. AAMAS Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha
2023	J	`jnl`	Learning to Boost Resilience of Complex Networks via Neural Edge Rewiring. Trans. Mach. Learn. Res. Shanchao Yang, Kaili Ma, Baoxiang Wang, Tianshu Yu, Hongyuan Zha
2023	A	`conf`	Low-rank matrix recovery with unknown correspondence. UAI Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
2023	A	`conf`	Mean Parity Fair Regression in RKHS. AISTATS Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha
2023	J	`jnl`	Mean Parity Fair Regression in RKHS. CoRR Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha
2023	J	`jnl`	Modeling Event Propagation via Graph Biased Temporal Point Process. IEEE Trans. Neural Networks Learn. Syst. Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha
2023	J	`jnl`	Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. CoRR Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
2023	A*	`conf`	Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. NeurIPS Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2023	J	`jnl`	Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. CoRR Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2023	A	`conf`	Reinforcement Learning for Adaptive Mesh Refinement. AISTATS 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	A*	`conf`	SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. ICML Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
2023	J	`jnl`	SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. CoRR Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
2023	J	`jnl`	Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification. CoRR Zichong Li, Qunzhi Xu, Zhenghao Xu, Yajun Mei, Tuo Zhao, Hongyuan Zha
2023	J	`jnl`	Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning. CoRR Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, Hongyuan Zha
2023	A*	`conf`	Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. NeurIPS Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu
2023	J	`jnl`	Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. CoRR Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu
2023	J	`jnl`	The Characteristic Analysis of ESDD and NSDD Detection of Composite Insulators Based on Hyperspectral Technology. IEEE Trans. Instrum. Meas. Hongyuan Zha, Yujun Guo, Yicen Liu, Xueqin Zhang, Song Xiao, Guoqiang Gao, Guangning Wu
2022	A*	`conf`	Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. NeurIPS Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	J	`jnl`	Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. CoRR Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	A	`conf`	Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. AAMAS Jiachen Yang, Ethan Wang, Rakshit S. Trivedi, Tuo Zhao, Hongyuan Zha
2022	J	`jnl`	BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. CoRR Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha
2022	J	`jnl`	Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction. IEEE Trans. Knowl. Data Eng. Xingbo Du, Junchi Yan, Rui Zhang, Hongyuan Zha
2022	A*	`conf`	Dealing with Non-Stationarity in MARL via Trust-Region Decomposition. ICLR Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
2022	J	`jnl`	Differentially Private Estimation of Hawkes Process. CoRR Simiao Zuo, Tianyi Liu, Tuo Zhao, Hongyuan Zha
2022	J	`jnl`	Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model. IEEE Trans. Knowl. Data Eng. Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2022	J	`jnl`	Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. CoRR Sikun Yang, Hongyuan Zha
2022	A*	`conf`	Hessian-Free High-Resolution Nesterov Acceleration For Sampling. ICML Ruilin Li, Hongyuan Zha, Molei Tao
2022	J	`jnl`	Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison. IEEE Trans. Vis. Comput. Graph. Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao
2022	J	`jnl`	Learning Neural Hamiltonian Dynamics: A Methodological Overview. CoRR Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha
2022	A*	`conf`	Learning Prototype-oriented Set Representations for Meta-Learning. ICLR Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha
2022	J	`jnl`	Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation. ACM Trans. Inf. Syst. Wei Zhang, Zeyuan Chen, Hongyuan Zha, Jianyong Wang
2022	J	`jnl`	Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2022	J	`jnl`	Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. CoRR Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu
2022	A*	`conf`	Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. NeurIPS Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	J	`jnl`	Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. CoRR Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	J	`jnl`	Mitigating disparate impact on model accuracy in differentially private learning. Inf. Sci. Wenyan Liu, Xiangfeng Wang, Haikun Zheng, Bo Jin, Xiaoling Wang, Hongyuan Zha
2022	A*	`conf`	Multi-Agent Path Finding with Prioritized Communication Learning. ICRA Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang
2022	J	`jnl`	Multi-Agent Path Finding with Prioritized Communication Learning. CoRR Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang
2022	J	`jnl`	Neural Parametric Fokker-Planck Equation. SIAM J. Numer. Anal. Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou
2022	J	`jnl`	Obtaining Dyadic Fairness by Optimal Transport. CoRR Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha
2022	J	`jnl`	Robust Knowledge Adaptation for Dynamic Graph Neural Networks. CoRR Hanjie Li, Changsheng Li, Kaituo Feng, Ye Yuan, Guoren Wang, Hongyuan Zha
2022	—	`conf`	Self-Training with Differentiable Teacher. NAACL-HLT (Findings) Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha
2022	A*	`conf`	Sqrt(d) Dimension Dependence of Langevin Monte Carlo. ICLR Ruilin Li, Hongyuan Zha, Molei Tao
2022	A*	`conf`	Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification. AAAI Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha
2022	J	`jnl`	Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space. IEEE Trans. Pattern Anal. Mach. Intell. Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, Hongyuan Zha
2022	A*	`conf`	VMAgent: A Practical Virtual Machine Scheduling Platform. IJCAI Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
2021	A*	`conf`	A Hypergradient Approach to Robust Regression without Correspondence. ICLR Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
2021	—	`conf`	A Particle-Evolving Method for Approximating the Optimal Transport Plan. GSI Shu Liu, Haodong Sun, Hongyuan Zha
2021	J	`jnl`	Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. CoRR Jiachen Yang, Ethan Wang, Rakshit S. Trivedi, Tuo Zhao, Hongyuan Zha
2021	A*	`conf`	Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators. NeurIPS Qitian Wu, Rui Gao, Hongyuan Zha
2021	J	`jnl`	Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition. CoRR Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
2021	J	`jnl`	Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient. CoRR Shanchao Yang, Kaili Ma, Baoxiang Wang, Hongyuan Zha
2021	A*	`conf`	Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. AAAI Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha
2021	A*	`conf`	Graph-Based Tri-Attention Network for Answer Ranking in CQA. AAAI Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang
2021	J	`jnl`	Graph-Based Tri-Attention Network for Answer Ranking in CQA. CoRR Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang
2021	A*	`conf`	HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. KDD Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
2021	J	`jnl`	Hawkes Processes on Graphons. CoRR Hongteng Xu, Dixin Luo, Hongyuan Zha
2021	J	`jnl`	Influence Estimation and Maximization via Neural Mean-Field Dynamics. CoRR Shushan He, Hongyuan Zha, Xiaojing Ye
2021	A*	`conf`	Learning Graphons via Structured Gromov-Wasserstein Barycenters. AAAI Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha
2021	J	`jnl`	Learning High Dimensional Wasserstein Geodesics. CoRR Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou
2021	J	`jnl`	Learning Prototype-oriented Set Representations for Meta-Learning. CoRR Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha
2021	A*	`conf`	Learning Stochastic Behaviour from Aggregate Data. ICML Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou
2021	J	`jnl`	Low-rank Matrix Recovery With Unknown Correspondence. CoRR Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
2021	J	`jnl`	Mean Field Game GAN. CoRR Shaojun Ma, Haomin Zhou, Hongyuan Zha
2021	J	`jnl`	Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach. CoRR Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha
2021	A*	`conf`	Random Noise Defense Against Query-Based Black-Box Attacks. NeurIPS Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu
2021	J	`jnl`	Reinforcement Learning for Adaptive Mesh Refinement. CoRR 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
2021	J	`jnl`	Self-Training with Differentiable Teacher. CoRR Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha
2021	J	`jnl`	Sqrt(d) Dimension Dependence of Langevin Monte Carlo. CoRR Ruilin Li, Hongyuan Zha, Molei Tao
2021	A	`conf`	Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning. AAMAS Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha
2021	J	`jnl`	Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning. CoRR Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha
2021	J	`jnl`	Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks. CoRR Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu
2021	A*	`conf`	Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. ICML Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha
2021	J	`jnl`	VMAgent: Scheduling Simulator for Reinforcement Learning. CoRR Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
2020	J	`jnl`	A Hypergradient Approach to Robust Regression without Correspondence. CoRR Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
2020	A*	`conf`	Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. WWW Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha
2020	—	`conf`	AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. ECCV (10) Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha
2020	A*	`conf`	Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. WWW Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
2020	J	`jnl`	Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. CoRR Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
2020	A*	`conf`	CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. ICLR Jiachen Yang, Alireza Nakhaei, David Isele, Kikuo Fujimura, Hongyuan Zha
2020	J	`jnl`	Differentiable Top-k Operator with Optimal Transport. CoRR Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister
2020	A*	`conf`	Differentiable Top-k with Optimal Transport. NeurIPS Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister
2020	J	`jnl`	F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. CoRR Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2020	J	`jnl`	Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. CoRR Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha
2020	A*	`conf`	GraphOpt: Learning Optimization Models of Graph Formation. ICML Rakshit S. Trivedi, Jiachen Yang, Hongyuan Zha
2020	J	`jnl`	GraphOpt: Learning Optimization Models of Graph Formation. CoRR Rakshit S. Trivedi, Jiachen Yang, Hongyuan Zha
2020	A*	`conf`	Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. SIGIR Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha
2020	J	`jnl`	Hessian-Free High-Resolution Nesterov Acceleration for Sampling. CoRR Ruilin Li, Hongyuan Zha, Molei Tao
2020	B	`conf`	Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. ICPR Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha
2020	A	`conf`	Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery. AAMAS Jiachen Yang, Igor Borovikov, Hongyuan Zha
2020	J	`jnl`	Hyper-Meta Reinforcement Learning with Sparse Reward. CoRR Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
2020	A*	`conf`	Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. AAAI Qianming Xue, Wei Zhang, Hongyuan Zha
2020	J	`jnl`	Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. CoRR Qianming Xue, Wei Zhang, Hongyuan Zha
2020	J	`jnl`	Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients. CoRR Ruilin Li, Xin Wang, Hongyuan Zha, Molei Tao
2020	J	`jnl`	Inductive Relational Matrix Completion. CoRR Qitian Wu, Hengrui Zhang, Hongyuan Zha
2020	A*	`conf`	Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. ICLR Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha
2020	A	`conf`	Integrating Independent and Centralized Multi-agent Reinforcement Learning for Traffic Signal Network Optimization. AAMAS Zhi Zhang, Jiachen Yang, Hongyuan Zha
2020	J	`jnl`	Learning Cost Functions for Optimal Transport. CoRR Haodong Sun, Haomin Zhou, Hongyuan Zha, Xiaojing Ye
2020	J	`jnl`	Learning Graphons via Structured Gromov-Wasserstein Barycenters. CoRR Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha
2020	A*	`conf`	Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption. AAAI Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha
2020	J	`jnl`	Learning Stochastic Behaviour of Aggregate Data. CoRR Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou
2020	A*	`conf`	Learning Strategic Network Emergence Games. NeurIPS Rakshit S. Trivedi, Hongyuan Zha
2020	J	`jnl`	Learning Structured Communication for Multi-agent Reinforcement Learning. CoRR Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2020	A*	`conf`	Learning to Incentivize Other Learning Agents. NeurIPS Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha
2020	J	`jnl`	Learning to Incentivize Other Learning Agents. CoRR Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha
2020	A*	`conf`	Network Diffusions via Neural Mean-Field Dynamics. NeurIPS Shushan He, Hongyuan Zha, Xiaojing Ye
2020	J	`jnl`	Network Diffusions via Neural Mean-Field Dynamics. CoRR Shushan He, Hongyuan Zha, Xiaojing Ye
2020	J	`jnl`	Neural Parametric Fokker-Planck Equations. CoRR Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou
2020	J	`jnl`	Recurrent Poisson Factorization for Temporal Recommendation. IEEE Trans. Knowl. Data Eng. Seyed Abbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee
2020	J	`jnl`	Reliable Off-policy Evaluation for Reinforcement Learning. CoRR Jie Wang, Rui Gao, Hongyuan Zha
2020	J	`jnl`	STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. IEEE Trans. Image Process. Zhe Ren, Wenhan Luo, Junchi Yan, Wenlong Liao, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha
2020	—	`conf`	Sequential Multi-fusion Network for Multi-channel Video CTR Prediction. DASFAA (3) Wen Wang, Wei Zhang, Wei Feng, Hongyuan Zha
2020	A*	`conf`	Single Episode Policy Transfer in Reinforcement Learning. ICLR Jiachen Yang, Brenden K. Petersen, Hongyuan Zha, Daniel M. Faissol
2020	J	`jnl`	Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation. CoRR Minshuo Chen, Wenjing Liao, Hongyuan Zha, Tuo Zhao
2020	J	`jnl`	Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification. CoRR Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang, Hongyuan Zha
2020	A*	`conf`	Transformer Hawkes Process. ICML Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha
2020	J	`jnl`	Transformer Hawkes Process. CoRR Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha
2020	J	`jnl`	Unsupervised learning of optical flow with patch consistency and occlusion estimation. Pattern Recognit. Zhe Ren, Junchi Yan, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha
2020	B	`conf`	VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing. ICPR Xin Li, Xiangfeng Wang, Bo Jin, Wenjie Zhang, Jun Wang, Hongyuan Zha
2019	A	`conf`	A Fast Proximal Point Method for Computing Exact Wasserstein Distance. UAI Yujia Xie, Xiangfeng Wang, Ruijia Wang, Hongyuan Zha
2019	J	`jnl`	Adversarial Distillation for Efficient Recommendation with External Knowledge. ACM Trans. Inf. Syst. Xu Chen, Yongfeng Zhang, Hongteng Xu, Zheng Qin, Hongyuan Zha
2019	—	`conf`	DyRep: Learning Representations over Dynamic Graphs. ICLR (Poster) Rakshit S. Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha
2019	A*	`conf`	Gromov-Wasserstein Learning for Graph Matching and Node Embedding. ICML Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin
2019	J	`jnl`	Gromov-Wasserstein Learning for Graph Matching and Node Embedding. CoRR Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin
2019	J	`jnl`	Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. CoRR Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha
2019	J	`jnl`	Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery. CoRR Jiachen Yang, Igor Borovikov, Hongyuan Zha
2019	J	`jnl`	Idiomaticity Prediction of Chinese Noun Compounds and Its Applications. IEEE Access Chengyu Wang, Yan Fan, Xiaofeng He, Hongyuan Zha, Aoying Zhou
2019	J	`jnl`	Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. CoRR Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha
2019	J	`jnl`	Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization. CoRR Zhi Zhang, Jiachen Yang, Hongyuan Zha
2019	J	`jnl`	Joint Active Learning with Feature Selection via CUR Matrix Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha
2019	A*	`conf`	Joint Link Prediction and Network Alignment via Cross-graph Embedding. IJCAI Xingbo Du, Junchi Yan, Hongyuan Zha
2019	A*	`conf`	Learning Robust Representations with Graph Denoising Policy Network. ICDM Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019	J	`jnl`	Learning Robust Representations with Graph Denoising Policy Network. CoRR Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019	J	`jnl`	Learning Time Series Associated Event Sequences With Recurrent Point Process Networks. IEEE Trans. Neural Networks Learn. Syst. Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha
2019	J	`jnl`	Learning to Match via Inverse Optimal Transport. J. Mach. Learn. Res. Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha
2019	A*	`conf`	Meta Learning with Relational Information for Short Sequences. NeurIPS Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha
2019	J	`jnl`	Meta Learning with Relational Information for Short Sequences. CoRR Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha
2019	J	`jnl`	Modeling Event Propagation via Graph Biased Temporal Point Process. CoRR Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha
2019	—	`conf`	On Scalable and Efficient Computation of Large Scale Optimal Transport. DGS@ICLR Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha
2019	A*	`conf`	On Scalable and Efficient Computation of Large Scale Optimal Transport. ICML Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha
2019	J	`jnl`	On Scalable and Efficient Computation of Large Scale Optimal Transport. CoRR Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha
2019	—	`conf`	Parametric Fokker-Planck Equation. GSI Wuchen Li, Shu Liu, Hongyuan Zha, Haomin Zhou
2019	A*	`conf`	Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. SIGIR Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha
2019	J	`jnl`	Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering. CoRR Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2019	J	`jnl`	Single Episode Policy Transfer in Reinforcement Learning. CoRR Jiachen Yang, Brenden K. Petersen, Hongyuan Zha, Daniel M. Faissol
2019	J	`jnl`	Stein Bridging: Enabling Mutual Reinforcement between Explicit and Implicit Generative Models. CoRR Qitian Wu, Rui Gao, Hongyuan Zha
2019	—	`conf`	Visual Anomaly Detection in Event Sequence Data. IEEE BigData Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao
2019	J	`jnl`	Visual Anomaly Detection in Event Sequence Data. CoRR Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao
2019	J	`jnl`	Visual Progression Analysis of Event Sequence Data. IEEE Trans. Vis. Comput. Graph. Shunan Guo, Zhuochen Jin, David Gotz, Fan Du, Hongyuan Zha, Nan Cao
2019	A*	`conf`	Visualizing Uncertainty and Alternatives in Event Sequence Predictions. CHI Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao
2018	J	`jnl`	A Fast Proximal Point Method for Wasserstein Distance. CoRR Yujia Xie, Xiangfeng Wang, Ruijia Wang, Hongyuan Zha
2018	J	`jnl`	A Self-Paced Regularization Framework for Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha
2018	J	`jnl`	A Unified Framework for Manifold Landmarking. IEEE Trans. Signal Process. Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha
2018	J	`jnl`	Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems. IEEE Trans. Neural Networks Learn. Syst. Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao
2018	J	`jnl`	CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. CoRR Jiachen Yang, Alireza Nakhaei, David Isele, Hongyuan Zha, Kikuo Fujimura
2018	—	`conf`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. WWW (Companion Volume) Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
2018	A*	`conf`	Decoupled Learning for Factorial Marked Temporal Point Processes. KDD Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2018	J	`jnl`	Decoupled Learning for Factorial Marked Temporal Point Processes. CoRR Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2018	B	`conf`	Deep Extreme Multi-label Learning. ICMR Wenjie Zhang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha
2018	A*	`conf`	Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. IJCAI Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha
2018	J	`jnl`	Energy Usage Behavior Modeling in Energy Disaggregation via Hawkes Processes. ACM Trans. Intell. Syst. Technol. Liangda Li, Hongyuan Zha
2018	J	`jnl`	EventThread: Visual Summarization and Stage Analysis of Event Sequence Data. IEEE Trans. Vis. Comput. Graph. Shunan Guo, Ke Xu, Rongwen Zhao, David Gotz, Hongyuan Zha, Nan Cao
2018	A*	`conf`	Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. IJCAI Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha
2018	J	`jnl`	Influence prediction for continuous-time information propagation on networks. Networks Heterog. Media Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou
2018	A*	`conf`	Iterative Learning With Open-Set Noisy Labels. CVPR Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia
2018	J	`jnl`	Iterative Learning with Open-set Noisy Labels. CoRR Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia
2018	A*	`conf`	Learning Conditional Generative Models for Temporal Point Processes. AAAI Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha
2018	A	`conf`	Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. UAI Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha
2018	J	`jnl`	Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. CoRR Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha
2018	—	`conf`	Learning Deep Mean Field Games for Modeling Large Population Behavior. ICLR Jiachen Yang, Xiaojing Ye, Rakshit S. Trivedi, Huan Xu, Hongyuan Zha
2018	A*	`conf`	Learning Registered Point Processes from Idiosyncratic Observations. ICML Hongteng Xu, Lawrence Carin, Hongyuan Zha
2018	A*	`conf`	Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. IJCAI Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha
2018	A*	`conf`	Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia. SIGIR Wenwei Liang, Wei Zhang, Bo Jin, Jiangjiang Xu, Linhua Shu, Hongyuan Zha
2018	J	`jnl`	Learning to Optimize via Wasserstein Deep Inverse Optimal Control. CoRR Yichen Wang, Le Song, Hongyuan Zha
2018	J	`jnl`	Learning to Recommend via Inverse Optimal Matching. CoRR Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha
2018	—	`conf`	LinkNBed: Multi-Graph Representation Learning with Entity Linkage. ACL (1) Rakshit S. Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha
2018	J	`jnl`	LinkNBed: Multi-Graph Representation Learning with Entity Linkage. CoRR Rakshit S. Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong
2018	J	`jnl`	On the flexibility of block coordinate descent for large-scale optimization. Neurocomputing Xiangfeng Wang, Wenjie Zhang, Junchi Yan, Xiaoming Yuan, Hongyuan Zha
2018	—	`conf`	Personalized Prescription for Comorbidity. DASFAA (2) Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha
2018	J	`jnl`	Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process. IEEE Access Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2018	J	`jnl`	Representation Learning over Dynamic Graphs. CoRR Rakshit S. Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha
2018	A	`conf`	Sequential Recommendation with User Memory Networks. WSDM Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha
2018	A*	`conf`	Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. KDD Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha
2018	J	`jnl`	Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. CoRR Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha
2018	A*	`conf`	Tau-FPL: Tolerance-Constrained Learning in Linear Time. AAAI Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha
2018	A*	`conf`	User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction. WWW Wei Zhang, Wen Wang, Jun Wang, Hongyuan Zha
2018	J	`jnl`	Visually Explainable Recommendation. CoRR Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, Hongyuan Zha
2018	J	`jnl`	tau-FPL: Tolerance-Constrained Learning in Linear Time. CoRR Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha
2017	—	`conf`	A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering. NIPS Hongteng Xu, Hongyuan Zha
2017	J	`jnl`	A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering. CoRR Hongteng Xu, Hongyuan Zha
2017	—	`conf`	A Divide-and-Conquer Approach for Large-Scale Multi-label Learning. BigMM Wenjie Zhang, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2017	J	`jnl`	A hybrid approach for risk assessment of loan guarantee network. CoRR Zhibin Niu, Dawei Cheng, Junchi Yan, Jiawan Zhang, Liqing Zhang, Hongyuan Zha
2017	J	`jnl`	Active manifold learning via a unified framework for manifold landmarking. CoRR Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha
2017	—	`conf`	Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information. BIBM Jian Pu, Jun Wang, Yingbin Zheng, Hao Ye, Weiwei Shen, Yuxin Li, Hongyuan Zha
2017	J	`jnl`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution. J. Mach. Learn. Res. Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2017	A*	`conf`	Correlated Cascades: Compete or Cooperate. AAAI Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha
2017	J	`jnl`	Cost-Effective Online Trending Topic Detection and Popularity Prediction in Microblogging. ACM Trans. Inf. Syst. Zhongchen Miao, Kai Chen, Yi Fang, Jianhua He, Yi Zhou, Wenjun Zhang, Hongyuan Zha
2017	J	`jnl`	Deep Extreme Multi-label Learning. CoRR Wenjie Zhang, Liwei Wang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha
2017	J	`jnl`	Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations. CoRR Jiachen Yang, Xiaojing Ye, Rakshit S. Trivedi, Huan Xu, Hongyuan Zha
2017	A*	`conf`	ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. AAAI Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha
2017	J	`jnl`	Entropy-based fuzzy support vector machine for imbalanced datasets. Knowl. Based Syst. Qi Fan, Zhe Wang, Dongdong Li, Daqi Gao, Hongyuan Zha
2017	A*	`conf`	Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. WWW Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha
2017	A*	`conf`	Fake News Mitigation via Point Process Based Intervention. ICML Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha
2017	J	`jnl`	Fake News Mitigation via Point Process Based Intervention. CoRR Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha
2017	A*	`conf`	Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. CVPR Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha
2017	—	`conf`	Glioma grading based on 3D multimodal convolutional neural network and privileged learning. BIBM Fangyan Ye, Jian Pu, Jun Wang, Yuxin Li, Hongyuan Zha
2017	J	`jnl`	Hawkes Processes for Invasive Species Modeling and Management. CoRR Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha
2017	A	`conf`	Inferring Private Demographics of New Users in Recommender Systems. MSWiM Mingxuan Sun, Changbin Li, Hongyuan Zha
2017	J	`jnl`	Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks. CoRR Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha
2017	A*	`conf`	Learning Hawkes Processes from Short Doubly-Censored Event Sequences. ICML Hongteng Xu, Dixin Luo, Hongyuan Zha
2017	J	`jnl`	Learning Hawkes Processes from Short Doubly-Censored Event Sequences. CoRR Hongteng Xu, Dixin Luo, Hongyuan Zha
2017	A*	`conf`	Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract). ICDE Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang
2017	A	`conf`	Linking Micro Event History to Macro Prediction in Point Process Models. AISTATS Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song
2017	J	`jnl`	Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha
2017	J	`jnl`	MREKLM: A fast multiple empirical kernel learning machine. Pattern Recognit. Qi Fan, Zhe Wang, Hongyuan Zha, Daqi Gao
2017	J	`jnl`	Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks. CoRR Shuai Xiao, Junchi Yan, Stephen M. Chu, Xiaokang Yang, Hongyuan Zha
2017	A*	`conf`	Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. AAAI Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu
2017	A*	`conf`	On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. AAAI Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu
2017	A*	`conf`	Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). ICDE Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
2017	J	`jnl`	Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. IEEE Trans. Knowl. Data Eng. Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
2017	—	`conf`	Predicting User Activity Level In Point Processes With Mass Transport Equation. NIPS Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song
2017	A*	`conf`	Recurrent Poisson Factorization for Temporal Recommendation. KDD Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee
2017	J	`jnl`	Recurrent Poisson Factorization for Temporal Recommendation. CoRR Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee
2017	J	`jnl`	Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. J. Mach. Learn. Res. Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song
2017	A*	`conf`	Self-Paced Multi-Task Learning. AAAI Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha
2017	J	`jnl`	THAP: A Matlab Toolkit for Learning with Hawkes Processes. CoRR Hongteng Xu, Hongyuan Zha
2017	A*	`conf`	Unsupervised Deep Learning for Optical Flow Estimation. AAAI Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha
2017	—	`conf`	Wasserstein Learning of Deep Generative Point Process Models. NIPS Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha
2017	J	`jnl`	Wasserstein Learning of Deep Generative Point Process Models. CoRR Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha
2016	J	`jnl`	A Fractal-based CNN for Detecting Complicated Curves in AFM Images. CoRR Hongteng Xu, Junchi Yan, Nils Persson, Hongyuan Zha
2016	B	`conf`	A Short Survey of Recent Advances in Graph Matching. ICMR Junchi Yan, Xu-Cheng Yin, Weiyao Lin, Cheng Deng, Hongyuan Zha, Xiaokang Yang
2016	B	`conf`	A constrained clustering based approach for matching a collection of feature sets. ICPR Junchi Yan, Zhe Ren, Hongyuan Zha, Stephen M. Chu
2016	J	`jnl`	A constrained clustering based approach for matching a collection of feature sets. CoRR Junchi Yan, Zhe Ren, Hongyuan Zha, Stephen M. Chu
2016	A*	`conf`	Behavior Driven Topic Transition for Search Task Identification. WWW Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha
2016	A*	`conf`	Household Structure Analysis via Hawkes Processes for Enhancing Energy Disaggregation. IJCAI Liangda Li, Hongyuan Zha
2016	J	`jnl`	ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. CoRR Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
2016	J	`jnl`	Influence Estimation and Maximization in Continuous-Time Diffusion Networks. ACM Trans. Inf. Syst. Manuel Gomez-Rodriguez, Le Song, Nan Du, Hongyuan Zha, Bernhard Schölkopf
2016	J	`jnl`	Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection. IEEE Access Zhongchen Miao, Junchi Yan, Kai Chen, Xiaokang Yang, Hongyuan Zha, Wenjun Zhang
2016	A*	`conf`	Learning Granger Causality for Hawkes Processes. ICML Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha
2016	J	`jnl`	Learning Granger Causality for Hawkes Processes. CoRR Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha
2016	J	`jnl`	Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints. IEEE Trans. Knowl. Data Eng. Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang
2016	A*	`conf`	Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. IJCAI Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha
2016	J	`jnl`	Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization. IEEE Trans. Pattern Anal. Mach. Intell. Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2016	—	`conf`	Multistage Campaigning in Social Networks. NIPS Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha
2016	J	`jnl`	Multistage Campaigning in Social Networks. CoRR Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha
2016	A*	`conf`	On Modeling and Predicting Individual Paper Citation Count over Time. IJCAI Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha
2016	—	`conf`	Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets. CCPR (2) Xin Liu, Junchi Yan, Xiangfeng Wang, Hongyuan Zha
2016	J	`jnl`	Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. CoRR Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song
2016	J	`jnl`	Self-Paced Multi-Task Learning. CoRR Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Hongyuan Zha
2016	J	`jnl`	Spectral Multimodal Hashing and Its Application to Multimedia Retrieval. IEEE Trans. Cybern. Yi Zhen, Yue Gao, Dit-Yan Yeung, Hongyuan Zha, Xuelong Li
2015	J	`jnl`	A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media. CoRR Mehrdad Farajtabar, Safoora Yousefi, Long Q. Tran, Le Song, Hongyuan Zha
2015	J	`jnl`	A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting. CoRR Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2015	A*	`conf`	A Matrix Decomposition Perspective to Multiple Graph Matching. ICCV Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu
2015	J	`jnl`	A Time-Topic Coupled LDA Model for IPTV User Behaviors. IEEE Trans. Broadcast. Ya Zhang, Weiyuan Chen, Hongyuan Zha, Xiao Gu
2015	A*	`conf`	Active Manifold Learning via Gershgorin Circle Guided Sample Selection. AAAI Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport
2015	J	`jnl`	Active Sample Learning and Feature Selection: A Unified Approach. CoRR Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha
2015	A*	`conf`	Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes. SIGIR Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates
2015	A	`conf`	Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. AISTATS Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song
2015	J	`jnl`	Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. CoRR Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Nan Du, Mohammad Zamani, Hongyuan Zha, Le Song
2015	—	`conf`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. NIPS Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2015	J	`jnl`	COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. CoRR Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
2015	—	`conf`	Co-evolutionary Dynamics of Information Diffusion and Network Structure. WWW (Companion Volume) Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
2015	J	`jnl`	Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach. IEEE Trans. Image Process. Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2015	J	`jnl`	Correlated Cascades: Compete or Cooperate. CoRR Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Le Song, Hongyuan Zha
2015	A*	`conf`	Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision. AAAI Yi Zhen, Piyush Rai, Hongyuan Zha, Lawrence Carin
2015	A*	`conf`	Dictionary Learning with Mutually Reinforcing Group-Graph Structures. AAAI Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu
2015	A*	`conf`	Discrete hyper-graph matching. CVPR Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu
2015	A*	`conf`	Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process. AAAI Liangda Li, Hongyuan Zha
2015	J	`jnl`	Influence Prediction for Continuous-Time Information Propagation on Networks. CoRR Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou
2015	A*	`conf`	Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences. IJCAI Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang
2015	A*	`conf`	Multi-View Point Registration via Alternating Optimization. AAAI Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2015	A	`conf`	NetCodec: Community Detection from Individual Activities. SDM Long Q. Tran, Mehrdad Farajtabar, Le Song, Hongyuan Zha
2015	A*	`conf`	On Machine Learning towards Predictive Sales Pipeline Analytics. AAAI Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu, Xiaokang Yang
2015	—	`conf`	Online trendy topics detection in microblogs with selective user monitoring under cost constraints. ICC Zhongchen Miao, Kai Chen, Yi Zhou, Hongyuan Zha, Jianhua He, Xiaokang Yang, Wenjun Zhang
2015	A*	`conf`	Portfolio Choices with Orthogonal Bandit Learning. IJCAI Weiwei Shen, Jun Wang, Yu-Gang Jiang, Hongyuan Zha
2015	A*	`conf`	Trailer Generation via a Point Process-Based Visual Attractiveness Model. IJCAI Hongteng Xu, Yi Zhen, Hongyuan Zha
2015	A*	`conf`	Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage. ICCV Hongteng Xu, Yang Zhou, Weiyao Lin, Hongyuan Zha
2014	J	`jnl`	Behavior Informatics: A New Perspective. IEEE Intell. Syst. Longbing Cao, Thorsten Joachims, Can Wang, Éric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Yang, Hongyuan Zha, Edoardo Serra, V. S. Subrahmanian
2014	—	`conf`	Graduated Consistency-Regularized Optimization for Multi-graph Matching. ECCV (1) Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, Stephen Mingyu Chu
2014	A*	`conf`	Identifying and labeling search tasks via query-based hawkes processes. KDD Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha
2014	J	`jnl`	Inferring User Image-Search Goals Under the Implicit Guidance of Users. IEEE Trans. Circuits Syst. Video Technol. Zheng Lu, Xiaokang Yang, Weiyao Lin, Hongyuan Zha, Xiaoling Chen
2014	—	`conf`	LatentGesture: active user authentication through background touch analysis. CCHI Premkumar Saravanan, Samuel Clarke, Duen Horng (Polo) Chau, Hongyuan Zha
2014	A*	`conf`	Learning Parametric Models for Social Infectivity in Multi-Dimensional Hawkes Processes. AAAI Liangda Li, Hongyuan Zha
2014	J	`jnl`	Learning the Gain Values and Discount Factors of Discounted Cumulative Gains. IEEE Trans. Knowl. Data Eng. Ke Zhou, Hongyuan Zha, Yi Chang, Gui-Rong Xue
2014	J	`jnl`	Linear Contour Learning: A Method for Supervised Dimension Reduction. CoRR Bing Li, Hongyuan Zha, Francesca Chiaromonte
2014	A*	`conf`	Manifold Based Dynamic Texture Synthesis from Extremely Few Samples. CVPR Hongteng Xu, Hongyuan Zha, Mark A. Davenport
2014	—	`conf`	Shaping Social Activity by Incentivizing Users. NIPS Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
2014	J	`jnl`	Shaping Social Activity by Incentivizing Users. CoRR Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
2014	A*	`conf`	To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. WWW Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park
2014	A	`conf`	Understanding and promoting micro-finance activities in Kiva.org. WSDM Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, Haesun Park
2014	J	`jnl`	You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data. IEEE Trans. Broadcast. Dixin Luo, Hongteng Xu, Hongyuan Zha, Jun Du, Rong Xie, Xiaokang Yang, Wenjun Zhang
2013	J	`jnl`	A New Algorithm for Inferring User Search Goals with Feedback Sessions. IEEE Trans. Knowl. Data Eng. Zheng Lu, Hongyuan Zha, Xiaokang Yang, Weiyao Lin, Zhaohui Zheng
2013	—	`conf`	Cost-effective node monitoring for online hot eventdetection in sina weibo microblogging. WWW (Companion Volume) Kai Chen, Yi Zhou, Hongyuan Zha, Jianhua He, Pei Shen, Xiaokang Yang
2013	A	`conf`	Dyadic event attribution in social networks with mixtures of hawkes processes. CIKM Liangda Li, Hongyuan Zha
2013	J	`jnl`	Improving recency ranking using twitter data. ACM Trans. Intell. Syst. Technol. Yi Chang, Anlei Dong, Pranam Kolari, Ruiqiang Zhang, Yoshiyuki Inagaki, Fernando Diaz, Hongyuan Zha, Yan Liu
2013	A*	`conf`	Joint Optimization for Consistent Multiple Graph Matching. ICCV Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu
2013	A	`conf`	Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes. AISTATS Ke Zhou, Hongyuan Zha, Le Song
2013	—	`conf`	Learning Triggering Kernels for Multi-dimensional Hawkes Processes. ICML (3) Ke Zhou, Hongyuan Zha, Le Song
2013	A	`conf`	Learning multiple-question decision trees for cold-start recommendation. WSDM Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha
2013	—	`conf`	Learning the Hotness of Information Diffusions with Multi-dimensional Hawkes Processes. ADMI Yi Wei, Ke Zhou, Ya Zhang, Hongyuan Zha
2013	A*	`conf`	Manifold Based Face Synthesis from Sparse Samples. ICCV Hongteng Xu, Hongyuan Zha
2013	—	`conf`	Mining IPTV user behaviors with a coupled LDA model. BMSB Weiyuan Chen, Ya Zhang, Hongyuan Zha
2013	—	`conf`	Mixture of Mutually Exciting Processes for Viral Diffusion. ICML (2) Shuang-Hong Yang, Hongyuan Zha
2013	—	`conf`	Scalable Influence Estimation in Continuous-Time Diffusion Networks. NIPS Nan Du, Le Song, Manuel Gomez-Rodriguez, Hongyuan Zha
2013	J	`jnl`	Scalable Influence Estimation in Continuous-Time Diffusion Networks. CoRR Nan Du, Le Song, Manuel Gomez-Rodriguez, Hongyuan Zha
2013	A*	`conf`	Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation. IJCAI Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong
2013	A	`conf`	Uncover Topic-Sensitive Information Diffusion Networks. AISTATS Nan Du, Le Song, Hyenkyun Woo, Hongyuan Zha
2012	J	`jnl`	Adaptive Manifold Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhenyue Zhang, Jing Wang, Hongyuan Zha
2012	J	`jnl`	Advertising Keywords Recommendation for Short-Text Web Pages Using Wikipedia. ACM Trans. Intell. Syst. Technol. Weinan Zhang, Dingquan Wang, Gui-Rong Xue, Hongyuan Zha
2012	A	`conf`	Collaborative ranking: improving the relevance for tail queries. CIKM Ke Zhou, Xin Li, Hongyuan Zha
2012	—	`ch.`	Dimensionality Reduction and Topic Modeling: From Latent Semantic Indexing to Latent Dirichlet Allocation and Beyond. Mining Text Data Steven P. Crain, Ke Zhou, Shuang-Hong Yang, Hongyuan Zha
2012	A*	`conf`	Friend or frenemy?: predicting signed ties in social networks. SIGIR Shuang-Hong Yang, Alexander J. Smola, Bo Long, Hongyuan Zha, Yi Chang
2012	J	`jnl`	Hybrid Generative/Discriminative Learning for Automatic Image Annotation CoRR Shuang-Hong Yang, Jiang Bian, Hongyuan Zha
2012	J	`jnl`	Inducible regularization for low-rank matrix factorizations for collaborative filtering. Neurocomputing Zhenyue Zhang, Keke Zhao, Hongyuan Zha
2012	C	`conf`	Inferring user image-search goals by mining query logs with semi-supervised spectral clustering. VCIP Zheng Lu, Xiaokang Yang, Weiyao Lin, Xiaoling Chen, Hongyuan Zha
2012	A*	`conf`	Learning binary codes for collaborative filtering. KDD Ke Zhou, Hongyuan Zha
2012	J	`jnl`	Learning the Gain Values and Discount Factors of DCG CoRR Ke Zhou, Hongyuan Zha, Gui-Rong Xue, Yong Yu
2012	J	`jnl`	Leveraging Auxiliary Data for Learning to Rank. ACM Trans. Intell. Syst. Technol. Ke Zhou, Jing Bai, Hongyuan Zha, Gui-Rong Xue
2012	J	`jnl`	Multi-task learning to rank for web search. Pattern Recognit. Lett. Yi Chang, Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Zhaohui Zheng
2012	J	`jnl`	Multiscale Semilocal Interpolation With Antialiasing. IEEE Trans. Image Process. Kai Guo, Xiaokang Yang, Hongyuan Zha, Weiyao Lin, Songyu Yu
2012	—	`conf`	On the Convergence of Graph Matching: Graduated Assignment Revisited. ECCV (3) Yu Tian, Junchi Yan, Hequan Zhang, Ya Zhang, Xiaokang Yang, Hongyuan Zha
2012	J	`jnl`	Supervised Laplacian Eigenmaps with Applications in Clinical Diagnostics for Pediatric Cardiology CoRR Thomas Perry, Hongyuan Zha, Patricio Frias, Dadan Zeng, Mark L. Braunstein
2012	Misc	`conf`	Utility of a Clinical Support Tool for Outpatient Evaluation of Pediatric Chest Pain. AMIA Thomas Perry, Hongyuan Zha, Matthew Oster, Patricio Frias, Mark L. Braunstein
2011	A	`conf`	Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality. AISTATS Shuang-Hong Yang, Steven P. Crain, Hongyuan Zha
2011	A*	`conf`	Collaborative competitive filtering: learning recommender using context of user choice. SIGIR Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hongyuan Zha, Zhaohui Zheng
2011	A*	`conf`	Functional matrix factorizations for cold-start recommendation. SIGIR Ke Zhou, Shuang-Hong Yang, Hongyuan Zha
2011	C	`conf`	Inferring users' image-search goals with pseudo-images. VCIP Zheng Lu, Xiaokang Yang, Weiyao Lin, Xiaoling Chen, Hongyuan Zha
2011	A*	`conf`	Like like alike: joint friendship and interest propagation in social networks. WWW Shuang-Hong Yang, Bo Long, Alexander J. Smola, Narayanan Sadagopan, Zhaohui Zheng, Hongyuan Zha
2011	J	`jnl`	Simple and effective variational optimization of surface and volume triangulations. Eng. Comput. Xiangmin Jiao, Duo Wang, Hongyuan Zha
2011	A*	`conf`	Video summarization via transferrable structured learning. WWW Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu
2010	A	`conf`	Hybrid Generative/Discriminative Learning for Automatic Image Annotation. UAI Shuang-Hong Yang, Jiang Bian, Hongyuan Zha
2010	A	`conf`	Language pyramid and multi-scale text analysis. CIKM Shuang-Hong Yang, Hongyuan Zha
2010	A	`conf`	Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains. CIKM Zhenzhen Kou, Yi Chang, Zhaohui Zheng, Hongyuan Zha
2010	A*	`conf`	Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM. WWW Jiang Bian, Xin Li, Fan Li, Zhaohui Zheng, Hongyuan Zha
2010	A	`conf`	Ranking with query-dependent loss for web search. WSDM Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
2010	A*	`conf`	Time is of the essence: improving recency ranking using Twitter data. WWW Anlei Dong, Ruiqiang Zhang, Pranam Kolari, Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Hongyuan Zha
2009	—	`conf`	Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora. NIPS Shuang-Hong Yang, Hongyuan Zha, Bao-Gang Hu
2009	A*	`conf`	Enhancing diversity, coverage and balance for summarization through structure learning. WWW Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu
2009	A*	`conf`	Global ranking by exploiting user clicks. SIGIR Shihao Ji, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-Rong Xue, Olivier Chapelle, Gordon Sun, Hongyuan Zha
2009	B	`conf`	Interpolating fine texturess with fields of experts prior. ICIP Kai Guo, Xiaokang Yang, Rui Zhang, Songyu Yu, Hongyuan Zha
2009	A*	`conf`	Learning distance metric for regression by semidefinite programming with application to human age estimation. ACM Multimedia Bo Xiao, Xiaokang Yang, Yi Xu, Hongyuan Zha
2009	A*	`conf`	Learning to recognize reliable users and content in social media with coupled mutual reinforcement. WWW Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichtein, Hongyuan Zha
2009	—	`conf`	Metric Learning for Regression Problems and Human Age Estimation. PCM Bo Xiao, Xiaokang Yang, Hongyuan Zha, Yi Xu, Thomas S. Huang
2009	A	`conf`	Multi-task learning for learning to rank in web search. CIKM Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Gordon Sun, Belle L. Tseng, Zhaohui Zheng, Yi Chang
2009	A	`conf`	Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions. CIKM Mingrui Wu, Yi Chang, Zhaohui Zheng, Hongyuan Zha
2009	J	`jnl`	Spectral Properties of the Alignment Matrices in Manifold Learning. SIAM Rev. Hongyuan Zha, Zhenyue Zhang
2009	J	`jnl`	The Social Future of Web Search: Modeling, Exploiting, and Searching Collaboratively Generated Content. IEEE Data Eng. Bull. Eugene Agichtein, Evgeniy Gabrilovich, Hongyuan Zha
2009	—	`conf`	Variational Graph Embedding for Globally and Locally Consistent Feature Extraction. ECML/PKDD (2) Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou, Bao-Gang Hu
2009	A*	`conf`	Web-scale classification with naive bayes. WWW Congle Zhang, Gui-Rong Xue, Yong Yu, Hongyuan Zha
2008	—	`conf`	A few bad votes too many?: towards robust ranking in social media. AIRWeb Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyuan Zha
2008	A*	`conf`	A scalable assistant librarian: hierarchical subject classification of books. SIGIR Steven P. Crain, Jian Huang, Hongyuan Zha
2008	—	`conf`	Adapting ranking functions to user preference. ICDE Workshops Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, Gordon Sun
2008	—	`conf`	Consistent computation of first- and second-order differential quantities for surface meshes. Symposium on Solid and Physical Modeling Xiangmin Jiao, Hongyuan Zha
2008	—	`conf`	Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm. NIPS Andrew Smith, Xiaoming Huo, Hongyuan Zha
2008	A*	`conf`	Exploring social annotations for information retrieval. WWW Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, C. Lee Giles
2008	A*	`conf`	Finding the right facts in the crowd: factoid question answering over social media. WWW Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyuan Zha
2008	A*	`conf`	Learning multiple graphs for document recommendations. WWW Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles
2008	Misc	`conf`	Learning object classes from image thumbnails through deep neural networks. ICASSP Erkang Chen, Xiaokang Yang, Hongyuan Zha, Rui Zhang, Wenjun Zhang
2008	A*	`conf`	Learning to rank with ties. SIGIR Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu
2008	—	`conf`	Query-level learning to rank using isotonic regression. Allerton Zhaohui Zheng, Hongyuan Zha, Gordon Sun
2008	—	`conf`	Simple and Effective Variational Optimization of Surface and Volume Triangulations. IMR Xiangmin Jiao, Duo Wang, Hongyuan Zha
2008	A*	`conf`	Spectral methods for semi-supervised manifold learning. CVPR Zhenyue Zhang, Hongyuan Zha, Min Zhang
2007	—	`conf`	A Comparison of Unsupervised Dimension Reduction Algorithms for Classification. BIBM Jaegul Choo, Hyunsoo Kim, Haesun Park, Hongyuan Zha
2007	—	`conf`	A General Boosting Method and its Application to Learning Ranking Functions for Web Search. NIPS Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun
2007	A*	`conf`	A regression framework for learning ranking functions using relative relevance judgments. SIGIR Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha
2007	A*	`conf`	Co-ranking Authors and Documents in a Heterogeneous Network. ICDM Ding Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. Lee Giles
2007	A	`conf`	Conical Dimension as an Intrinsic Dimension Estimator and its Applications. SDM Xin Yang, Sebastien Michea, Hongyuan Zha
2007	J	`jnl`	Continuum Isomap for manifold learnings. Comput. Stat. Data Anal. Hongyuan Zha, Zhenyue Zhang
2007	—	`conf`	DAG-guided parallel asynchronous variational integrators with super-elements. SCSC Jen-Chih Huang, Xiangmin Jiao, Richard M. Fujimoto, Hongyuan Zha
2007	A*	`conf`	Discovering Temporal Communities from Social Network Documents. ICDM Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee Giles
2007	C	`conf`	Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization. BIBE Hyunsoo Kim, Haesun Park, Hongyuan Zha
2007	A	`conf`	Distance Preserving Dimension Reduction for Manifold Learning. SDM Hyunsoo Kim, Haesun Park, Hongyuan Zha
2007	A	`conf`	Efficient Multiclass Boosting Classification with Active Learning. SDM Jian Huang, Seyda Ertekin, Yang Song, Hongyuan Zha, C. Lee Giles
2007	—	`conf`	IKNN: Informative K-Nearest Neighbor Pattern Classification. PKDD Yang Song, Jian Huang, Ding Zhou, Hongyuan Zha, C. Lee Giles
2007	A*	`conf`	Learning User Clicks in Web Search. IJCAI Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, Hongyuan Zha
2007	J	`jnl`	Machine Learning and Robust Data Mining. Comput. Stat. Data Anal. Christophe Croux, Efstratios Gallopoulos, Stefan Van Aelst, Hongyuan Zha
2007	Misc	`conf`	Optimizing Surface Triangulation Via Near Isometry with Reference Meshes. International Conference on Computational Science (1) Xiangmin Jiao, Narasimha R. Bayyana, Hongyuan Zha
2007	A*	`conf`	Topic segmentation with shared topic detection and alignment of multiple documents. SIGIR Bingjun Sun, Prasenjit Mitra, C. Lee Giles, John Yen, Hongyuan Zha
2006	J	`jnl`	2nd Special issue on matrix computations and statistics. Comput. Stat. Data Anal. Jesse L. Barlow, Haesun Park, Patrick J. F. Groenen, Hongyuan Zha
2006	A*	`conf`	Boosting the Feature Space: Text Classification for Unstructured Data on the Web. ICDM Yang Song, Ding Zhou, Jian Huang, Isaac G. Councill, Hongyuan Zha, C. Lee Giles
2006	A*	`conf`	Incorporating query difference for learning retrieval functions in information retrieval. SIGIR Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Sun
2006	A	`conf`	Incorporating query difference for learning retrieval functions in world wide web search. CIKM Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Sun
2006	A	`conf`	Multi-task text segmentation and alignment based on weighted mutual information. CIKM Bingjun Sun, Ding Zhou, Hongyuan Zha, John Yen
2006	A*	`conf`	Probabilistic models for discovering e-communities. WWW Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, Hongyuan Zha
2006	A*	`conf`	Semi-supervised nonlinear dimensionality reduction. ICML Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlow
2006	J	`jnl`	Splice site prediction using support vector machines with a Bayes kernel. Expert Syst. Appl. Ya Zhang, Chao-Hsien Chu, Yixin Chen, Hongyuan Zha, Xiang Ji
2006	A	`conf`	Topic evolution and social interactions: how authors effect research. CIKM Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles
2006	J	`jnl`	Towards Inferring Protein Interactions: Challenges and Solutions. EURASIP J. Adv. Signal Process. Ya Zhang, Hongyuan Zha, Chao-Hsien Chu, Xiang Ji
2006	J	`jnl`	Two-way Poisson mixture models for simultaneous document classification and word clustering. Comput. Stat. Data Anal. Jia Li, Hongyuan Zha
2005	—	`conf`	A Domain Decomposition Method for Fast Manifold Learning. NIPS Zhenyue Zhang, Hongyuan Zha
2005	—	`conf`	A Time-Series Biclustering Algorithm for Revealing Co-Regulated Genes. ITCC (1) Ya Zhang, Hongyuan Zha, Chao-Hsien Chu
2005	Misc	`conf`	A hierarchical naive Bayes mixture model for name disambiguation in author citations. SAC Hui Han, Wei Xu, Hongyuan Zha, C. Lee Giles
2005	A*	`conf`	A new Mallows distance based metric for comparing clusterings. ICML Ding Zhou, Jia Li, Hongyuan Zha
2005	A*	`conf`	Efficient Block Noise Removal Based on Nonlinear Manifolds. ICCV Haoying Fu, Hongyuan Zha, Jesse L. Barlow
2005	—	`conf`	Name disambiguation in author citations using a K-way spectral clustering method. JCDL Hui Han, Hongyuan Zha, C. Lee Giles
2005	—	`conf`	Protein Interaction Inference as a MAX-SAT Problem. CVPR Workshops Ya Zhang, Hongyuan Zha, Chao-Hsien Chu, Xiang Ji
2005	Misc	`conf`	Rule-based word clustering for document metadata extraction. SAC Hui Han, Eren Manavoglu, Hongyuan Zha, Kostas Tsioutsiouliklis, C. Lee Giles, Xiangmin Zhang
2005	—	`conf`	Spectral analysis of alignment in manifold learning. ICASSP (5) Hongyuan Zha, Zhenyue Zhang
2005	C	`conf`	Towards discovering organizational structure from email corpus. ICMLA Ding Zhou, Yang Song, Hongyuan Zha, Ya Zhang
2004	—	`conf`	Adaptive Manifold Learning. NIPS Jing Wang, Zhenyue Zhang, Hongyuan Zha
2004	J	`jnl`	Correlating summarization of multi-source news with k-way graph bi-clustering. SIGKDD Explor. Ya Zhang, Chao-Hsien Chu, Xiang Ji, Hongyuan Zha
2004	—	`conf`	Dynamic cluster structure for object detection and tracking in wireless ad-hoc sensor networks. ICC Xiang Ji, Hongyuan Zha, John J. Metzner, George Kesidis
2004	—	`conf`	Exploring Support Vector Machines and Random Forests for Spam Detection. CEAS Gordon Rios, Hongyuan Zha
2004	A	`conf`	Linear Contour Learning: A Method for Supervised Dimension Reduction. UAI Bing Li, Hongyuan Zha, Francesca Chiaromonte
2004	J	`jnl`	Link Analysis: Hubs and Authorities on the World Wide Web. SIAM Rev. Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, Parry Husbands, Horst D. Simon
2004	—	`conf`	Local Smoothing for Manifold Learning. CVPR (2) Jin Hyeong Park, Zhenyue Zhang, Hongyuan Zha, Rangachar Kasturi
2004	J	`jnl`	Low-Rank Approximations with Sparse Factors II: Penalized Methods with Discrete Newton-Like Iterations. SIAM J. Matrix Anal. Appl. Zhenyue Zhang, Hongyuan Zha, Horst D. Simon
2004	J	`jnl`	Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment. SIAM J. Sci. Comput. Zhenyue Zhang, Hongyuan Zha
2004	—	`conf`	Spectral Clustering for Robust Motion Segmentation. ECCV (4) Jin Hyeong Park, Hongyuan Zha, Rangachar Kasturi
2004	—	`conf`	Support Vector Clustering Combined with Spectral Graph Partitioning. ICPR (4) Jin Hyeong Park, Xiang Ji, Hongyuan Zha, Rangachar Kasturi
2004	—	`conf`	Two supervised learning approaches for name disambiguation in author citations. JCDL Hui Han, C. Lee Giles, Hongyuan Zha, Cheng Li, Kostas Tsioutsiouliklis
2003	—	`conf`	Automatic Document Metadata Extraction Using Support Vector Machines. JCDL Hui Han, C. Lee Giles, Eren Manavoglu, Hongyuan Zha, Zhenyue Zhang, Edward A. Fox
2003	—	`conf`	Correlating Summarization of A Pair of Multilingual Documents. RIDE Xiang Ji, Hongyuan Zha
2003	A*	`conf`	Domain-independent text segmentation using anisotropic diffusion and dynamic programming. SIGIR Xiang Ji, Hongyuan Zha
2003	B	`conf`	Extracting Shared Topics of Multiple Documents. PAKDD Xiang Ji, Hongyuan Zha
2003	A*	`conf`	Isometric Embedding and Continuum ISOMAP. ICML Hongyuan Zha, Zhenyue Zhang
2003	Misc	`conf`	Multidimensional scaling based sensor positioning algorithms in wireless sensor networks. SenSys Xiang Ji, Hongyuan Zha
2003	C	`conf`	Nonlinear Dimension Reduction via Local Tangent Space Alignment. IDEAL Zhenyue Zhang, Hongyuan Zha
2003	A	`conf`	PageRank: HITS and a Unified Framework for Link Analysis. SDM Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon
2003	B	`conf`	Robust sensor localization algorithm in wireless ad-hoc sensor networks. ICCCN Xiang Ji, Hongyuan Zha
2003	A*	`conf`	Rule-based word clustering for text classification. SIGIR Hui Han, Eren Manavoglu, C. Lee Giles, Hongyuan Zha
2002	A*	`conf`	Adaptive dimension reduction for clustering high dimensional data. ICDM Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon
2002	A*	`conf`	Correlating multilingual documents via bipartite graph modeling. SIGIR Hongyuan Zha, Xiang Ji
2002	A*	`conf`	Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering. SIGIR Hongyuan Zha
2002	J	`jnl`	Low-Rank Approximations with Sparse Factors I: Basic Algorithms and Error Analysis. SIAM J. Matrix Anal. Appl. Zhenyue Zhang, Hongyuan Zha, Horst D. Simon
2002	A*	`conf`	PageRank, HITS and a unified framework for link analysis. SIGIR Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon
2002	J	`jnl`	Preface. Comput. Stat. Data Anal. Jesse L. Barlow, Michael W. Berry, Axel Ruhe, Hongyuan Zha
2002	J	`jnl`	Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment CoRR Zhenyue Zhang, Hongyuan Zha
2002	—	`conf`	Simultaneous Classification and Feature Clustering Using Discriminant Vector Quantization with Applications to Microarray Data Analysis. CSB Jia Li, Hongyuan Zha
2002	—	`conf`	Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. PKDD Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon
2002	J	`jnl`	Web document clustering using hyperlink structures. Comput. Stat. Data Anal. Xiaofeng He, Hongyuan Zha, Chris H. Q. Ding, Horst D. Simon
2001	A*	`conf`	A Min-max Cut Algorithm for Graph Partitioning and Data Clustering. ICDM Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon
2001	A*	`conf`	A spectral method to separate disconnected and nearly-disconnected web graph components. KDD Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha
2001	A*	`conf`	Automatic Topic Identification Using Webpage Clustering. ICDM Xiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon
2001	A	`conf`	Bipartite Graph Partitioning and Data Clustering. CIKM Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
2001	J	`jnl`	Bipartite graph partitioning and data clustering CoRR Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
2001	—	`conf`	Spectral Relaxation for K-means Clustering. NIPS Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
2001	J	`jnl`	Structure and Perturbation Analysis of Truncated SVDs for Column-Partitioned Matrices. SIAM J. Matrix Anal. Appl. Zhenyue Zhang, Hongyuan Zha
2000	J	`jnl`	Low-Rank Matrix Approximation Using the Lanczos Bidiagonalization Process with Applications. SIAM J. Sci. Comput. Horst D. Simon, Hongyuan Zha
2000	J	`jnl`	Matrices with Low-Rank-Plus-Shift Structure: Partial SVD and Latent Semantic Indexing. SIAM J. Matrix Anal. Appl. Hongyuan Zha, Zhenyue Zhang
1999	J	`jnl`	On Updating Problems in Latent Semantic Indexing. SIAM J. Sci. Comput. Hongyuan Zha, Horst D. Simon
1998	J	`jnl`	A Cubically Convergent Parallelizable Method for the Hermitian Eigenvalue Problem. SIAM J. Matrix Anal. Appl. Hongyuan Zha, Zhenyue Zhang
1998	J	`jnl`	Growth in Gaussian Elimination, Orthogonal Matrices, and the 2-Norm. SIAM J. Matrix Anal. Appl. Jesse L. Barlow, Hongyuan Zha
1998	—	`conf`	Large-Scale SVD and Subspace-Based Methods for Information Retrieval. IRREGULAR Hongyuan Zha, Osni Marques, Horst D. Simon
1996	J	`jnl`	Fast algorithms for direction-of-arrival finding using large ESPRIT arrays. Signal Process. Hongyuan Zha
1996	—	`conf`	Indexing Management for Distributed Linear Hash Files. DEXA Workshop Shang-Sheng Tung, Hongyuan Zha, Thomas F. Keefe
1995	J	`jnl`	Comments on Large Least Squares Problems Involving Kronecker Products. SIAM J. Matrix Anal. Appl. Hongyuan Zha
1993	—	`ch.`	10 The total least squares problem. Computational Statistics Sabine Van Huffel, Hongyuan Zha
1993	J	`jnl`	A New Preprocessing Algorithm for the Computation of the Generalized Singular Value Decomposition. SIAM J. Sci. Comput. Zhaojun Bai, Hongyuan Zha
1993	J	`jnl`	An efficient Total Least Squares algorithm based on a rank-revealing two-sided orthogonal decomposition. Numer. Algorithms Sabine Van Huffel, Hongyuan Zha