Hongyuan Zha

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 299

Top Venues

Publications

Sikun Yang, Hongyuan Zha
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs. AAAI (2024)
Shaokui Wei, Hongyuan Zha, Baoyuan Wu
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor. CoRR (2024)
Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng
Transfer Learning for Diffusion Models. CoRR (2024)
Dandan Guo, Chaojie Wang, Baoxiang Wang, Hongyuan Zha
Learning Fair Representations via Distance Correlation Minimization. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang Wang
Carbon Market Simulation with Adaptive Mechanism Design. CoRR (2024)
Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. AAAI (2024)
Kai Zhang, Junchen Shen, Gaoqi He, Yu Sun, Haibin Ling, Hongyuan Zha, Honglin Li, Jie Zhang
A Transformative Topological Representation for Link Modeling, Prediction and Cross-Domain Network Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Jie Wang, Rui Gao, Hongyuan Zha
Reliable Off-Policy Evaluation for Reinforcement Learning. Oper. Res. 72 (2) (2024)
Sikun Yang, Hongyuan Zha
Dynamic Latent Graph-Guided Neural Temporal Point Processes. CoRR (2023)
Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. CoRR (2023)
Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha
Hierarchical Diffusion for Offline Decision Making. ICML (2023)
Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. CoRR (2023)
Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). ICDE (2023)
Junjie Sheng, Zixiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hongyuan Zha, Xiangfeng Wang
Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym. CoRR (2023)
Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha
Mean Parity Fair Regression in RKHS. AISTATS (2023)
Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. CoRR (2023)
Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha
Diverse Policy Optimization for Structured Action Space. CoRR (2023)
Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. NeurIPS (2023)
Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha
Learning Structured Communication for Multi-Agent Reinforcement Learning. AAMAS (2023)
Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Shanchao Yang, Kaili Ma, Baoxiang Wang, Tianshu Yu, Hongyuan Zha
Learning to Boost Resilience of Complex Networks via Neural Edge Rewiring. Trans. Mach. Learn. Res. 2023 (2023)
Hongyuan Zha, Yujun Guo, Yicen Liu, Xueqin Zhang, Song Xiao, Guoqiang Gao, Guangning Wu
The Characteristic Analysis of ESDD and NSDD Detection of Composite Insulators Based on Hyperspectral Technology. IEEE Trans. Instrum. Meas. 72 (2023)
Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
Low-rank matrix recovery with unknown correspondence. UAI (2023)
Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang
Information Design in Multi-Agent Reinforcement Learning. NeurIPS (2023)
Zichong Li, Qunzhi Xu, Zhenghao Xu, Yajun Mei, Tuo Zhao, Hongyuan Zha
Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification. CoRR (2023)
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
Reinforcement Learning for Adaptive Mesh Refinement. AISTATS (2023)
Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha
Mean Parity Fair Regression in RKHS. CoRR (2023)
Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang
Information Design in Multi-Agent Reinforcement Learning. CoRR (2023)
Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. AAMAS (2023)
Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha
Learning Roles with Emergent Social Value Orientations. CoRR (2023)
Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha
Modeling Event Propagation via Graph Biased Temporal Point Process. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, Hongyuan Zha
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning. CoRR (2023)
Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. ICML (2023)
Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. CoRR (2023)
Sikun Yang, Hongyuan Zha
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. SDM (2023)
Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24 (2023)
Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha
Diverse Policy Optimization for Structured Action Space. AAMAS (2023)
Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. NeurIPS (2023)
Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. CoRR (2023)
Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. NeurIPS (2022)
Simiao Zuo, Tianyi Liu, Tuo Zhao, Hongyuan Zha
Differentially Private Estimation of Hawkes Process. CoRR (2022)
Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang
Multi-Agent Path Finding with Prioritized Communication Learning. CoRR (2022)
Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha
Learning Prototype-oriented Set Representations for Meta-Learning. ICLR (2022)
Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha
Obtaining Dyadic Fairness by Optimal Transport. CoRR (2022)
Hanjie Li, Changsheng Li, Kaituo Feng, Ye Yuan, Guoren Wang, Hongyuan Zha
Robust Knowledge Adaptation for Dynamic Graph Neural Networks. CoRR (2022)
Ruilin Li, Hongyuan Zha, Molei Tao
Hessian-Free High-Resolution Nesterov Acceleration For Sampling. ICML (2022)
Wenyan Liu, Xiangfeng Wang, Haikun Zheng, Bo Jin, Xiaoling Wang, Hongyuan Zha
Mitigating disparate impact on model accuracy in differentially private learning. Inf. Sci. 616 (2022)
Sikun Yang, Hongyuan Zha
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. CoRR (2022)
Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. AAMAS (2022)
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36 (2) (2022)
Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang
Multi-Agent Path Finding with Prioritized Communication Learning. ICRA (2022)
Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
VMAgent: A Practical Virtual Machine Scheduling Platform. IJCAI (2022)
Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. NeurIPS (2022)
Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao
Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, Hongyuan Zha
Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. CoRR (2022)
Xingbo Du, Junchi Yan, Rui Zhang, Hongyuan Zha
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu
Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. CoRR (2022)
Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha
Self-Training with Differentiable Teacher. NAACL-HLT (Findings) (2022)
Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. CoRR (2022)
Wei Zhang, Zeyuan Chen, Hongyuan Zha, Jianyong Wang
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation. ACM Trans. Inf. Syst. 40 (2) (2022)
Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou
Neural Parametric Fokker-Planck Equation. SIAM J. Numer. Anal. 60 (3) (2022)
Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha
Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification. AAAI (2022)
Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha
Learning Neural Hamiltonian Dynamics: A Methodological Overview. CoRR (2022)
Ruilin Li, Hongyuan Zha, Molei Tao
Sqrt(d) Dimension Dependence of Langevin Monte Carlo. ICLR (2022)
Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. CoRR (2022)
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition. ICLR (2022)
Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. AAAI (2021)
Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha
Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach. CoRR (2021)
Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou
Learning High Dimensional Wasserstein Geodesics. CoRR (2021)
Qitian Wu, Rui Gao, Hongyuan Zha
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators. NeurIPS (2021)
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 Faissol
Reinforcement Learning for Adaptive Mesh Refinement. CoRR (2021)
Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
A Hypergradient Approach to Robust Regression without Correspondence. ICLR (2021)
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning. CoRR (2021)
Hongteng Xu, Dixin Luo, Hongyuan Zha
Hawkes Processes on Graphons. CoRR (2021)
Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. KDD (2021)
Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
VMAgent: Scheduling Simulator for Reinforcement Learning. CoRR (2021)
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha
Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning. AAMAS (2021)
Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou
Learning Stochastic Behaviour from Aggregate Data. ICML (2021)
Shaojun Ma, Haomin Zhou, Hongyuan Zha
Mean Field Game GAN. CoRR (2021)
Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu
Random Noise Defense Against Query-Based Black-Box Attacks. NeurIPS (2021)
Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang
Graph-Based Tri-Attention Network for Answer Ranking in CQA. CoRR (2021)
Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha
Self-Training with Differentiable Teacher. CoRR (2021)
Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. ICML (2021)
Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha
Learning Prototype-oriented Set Representations for Meta-Learning. CoRR (2021)
Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang
Graph-Based Tri-Attention Network for Answer Ranking in CQA. AAAI (2021)
Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
Low-rank Matrix Recovery With Unknown Correspondence. CoRR (2021)
Shanchao Yang, Kaili Ma, Baoxiang Wang, Hongyuan Zha
Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient. CoRR (2021)
Shushan He, Hongyuan Zha, Xiaojing Ye
Influence Estimation and Maximization via Neural Mean-Field Dynamics. CoRR (2021)
Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. CoRR (2021)
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition. CoRR (2021)
Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu
Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks. CoRR (2021)
Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha
Learning Graphons via Structured Gromov-Wasserstein Barycenters. AAAI (2021)
Ruilin Li, Hongyuan Zha, Molei Tao
Sqrt(d) Dimension Dependence of Langevin Monte Carlo. CoRR (2021)
Shu Liu, Haodong Sun, Hongyuan Zha
A Particle-Evolving Method for Approximating the Optimal Transport Plan. GSI (2021)
Jiachen Yang, Igor Borovikov, Hongyuan Zha
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery. AAMAS (2020)
Rakshit Trivedi, Jiachen Yang, Hongyuan Zha
GraphOpt: Learning Optimization Models of Graph Formation. ICML (2020)
Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. ICLR (2020)
Shushan He, Hongyuan Zha, Xiaojing Ye
Network Diffusions via Neural Mean-Field Dynamics. CoRR (2020)

Hongyuan Zha.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Hongyuan Zha