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ORCIDHongyuan Zha
Person information
- affiliation: The Chinese University of Hong Kong, Shenzhen, China
- affiliation (former): Georgia Institute of Technology, Atlanta, GA, USA
- affiliation (former): Penn State, University Park, USA
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2020 – today
- 2024
[j85]Jie Wang
, Rui Gao, Hongyuan Zha:
Reliable Off-Policy Evaluation for Reinforcement Learning. Oper. Res. 72(2): 699-716 (2024)- [j84]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): 6126-6138 (2024) - [j83]Dandan Guo, Chaojie Wang, Baoxiang Wang, Hongyuan Zha:
Learning Fair Representations via Distance Correlation Minimization. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2139-2152 (2024) - [c263]Sikun Yang, Hongyuan Zha:
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs. AAAI 2024: 16343-16351 - [c262]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: 20185-20193 - [c261]Jintong Gao, He Zhao, Dandan Guo, Hongyuan Zha:
Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification. ICML 2024 - [c260]Zichong Li, Qunzhi Xu, Zhenghao Xu, Yajun Mei, Tuo Zhao, Hongyuan Zha:
Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process. ICML 2024 - [i125]Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor. CoRR abs/2405.16112 (2024) - [i124]Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng:
Transfer Learning for Diffusion Models. CoRR abs/2405.16876 (2024) - [i123]Han Wang, Wenhao Li, Hongyuan Zha, Baoxiang Wang:
Carbon Market Simulation with Adaptive Mechanism Design. CoRR abs/2406.07875 (2024) - 2023
- [j82]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: 178:1-178:75 (2023) - [j81]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: 1-8 (2023) - [j80]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): 2683-2696 (2023) - [j79]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) - [j78]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): 1681-1691 (2023) - [c259]Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha:
Mean Parity Fair Regression in RKHS. AISTATS 2023: 4602-4628 - [c258]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: 5997-6014 - [c257]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: 436-438 - [c256]Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha:
Diverse Policy Optimization for Structured Action Space. AAMAS 2023: 819-828 - [c255]Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha:
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. AAMAS 2023: 2784-2786 - [c254]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). ICDE 2023: 3763-3764 - [c253]Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha:
Hierarchical Diffusion for Offline Decision Making. ICML 2023: 20035-20064 - [c252]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: 20210-20220 - [c251]Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang:
Information Design in Multi-Agent Reinforcement Learning. NeurIPS 2023 - [c250]Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu:
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. NeurIPS 2023 - [c249]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. NeurIPS 2023 - [c248]Sikun Yang, Hongyuan Zha:
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. SDM 2023: 181-189 - [c247]Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha:
Low-rank matrix recovery with unknown correspondence. UAI 2023: 2111-2122 - [i122]Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha:
Learning Roles with Emergent Social Value Orientations. CoRR abs/2301.13812 (2023) - [i121]Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha:
Mean Parity Fair Regression in RKHS. CoRR abs/2302.10409 (2023) - [i120]Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha:
Diverse Policy Optimization for Structured Action Space. CoRR abs/2302.11917 (2023) - [i119]Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha:
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. CoRR abs/2305.06227 (2023) - [i118]Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang:
Information Design in Multi-Agent Reinforcement Learning. CoRR abs/2305.06807 (2023) - [i117]Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, Hongyuan Zha:
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning. CoRR abs/2305.10865 (2023) - [i116]Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang:
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. CoRR abs/2306.05353 (2023) - [i115]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. CoRR abs/2306.16697 (2023) - [i114]Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu:
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. CoRR abs/2307.10562 (2023) - [i113]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 abs/2310.16310 (2023) - [i112]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 abs/2310.16336 (2023) - [i111]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 abs/2312.03290 (2023) - [i110]Sikun Yang, Hongyuan Zha:
Dynamic Latent Graph-Guided Neural Temporal Point Processes. CoRR abs/2312.16083 (2023) - 2022
- [j77]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): 50 (2022) - [j76]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: 108-126 (2022) - [j75]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): 8618-8634 (2022) - [j74]Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou:
Neural Parametric Fokker-Planck Equation. SIAM J. Numer. Anal. 60(3): 1385-1449 (2022) - [j73]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): 573-586 (2022) - [j72]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): 1080-1095 (2022) - [j71]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): 26:1-26:28 (2022) - [j70]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): 4531-4545 (2022) - [c246]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: 9251-9259 - [c245]Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha:
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. AAMAS 2022: 1436-1445 - [c244]Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha:
Learning Prototype-oriented Set Representations for Meta-Learning. ICLR 2022 - [c243]Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha:
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition. ICLR 2022 - [c242]Ruilin Li, Hongyuan Zha, Molei Tao:
Sqrt(d) Dimension Dependence of Langevin Monte Carlo. ICLR 2022 - [c241]Ruilin Li, Hongyuan Zha, Molei Tao:
Hessian-Free High-Resolution Nesterov Acceleration For Sampling. ICML 2022: 13125-13162 - [c240]Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang:
Multi-Agent Path Finding with Prioritized Communication Learning. ICRA 2022: 10695-10701 - [c239]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: 5944-5947 - [c238]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: 933-949 - [c237]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 - [c236]Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha:
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. NeurIPS 2022 - [i109]Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang:
Multi-Agent Path Finding with Prioritized Communication Learning. CoRR abs/2202.03634 (2022) - [i108]Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha:
Obtaining Dyadic Fairness by Optimal Transport. CoRR abs/2202.04520 (2022) - [i107]Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha:
Learning Neural Hamiltonian Dynamics: A Methodological Overview. CoRR abs/2203.00128 (2022) - [i106]Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha:
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. CoRR abs/2206.12654 (2022) - [i105]Hanjie Li, Changsheng Li, Kaituo Feng, Ye Yuan, Guoren Wang, Hongyuan Zha:
Robust Knowledge Adaptation for Dynamic Graph Neural Networks. CoRR abs/2207.10839 (2022) - [i104]Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha:
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. CoRR abs/2208.02951 (2022) - [i103]Simiao Zuo, Tianyi Liu, Tuo Zhao, Hongyuan Zha:
Differentially Private Estimation of Hawkes Process. CoRR abs/2209.07303 (2022) - [i102]Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha:
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. CoRR abs/2210.04144 (2022) - [i101]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 abs/2210.17178 (2022) - [i100]Sikun Yang, Hongyuan Zha:
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. CoRR abs/2212.14527 (2022) - 2021
- [c235]Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha:
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. AAAI 2021: 7474-7482 - [c234]Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha:
Learning Graphons via Structured Gromov-Wasserstein Barycenters. AAAI 2021: 10505-10513 - [c233]Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang:
Graph-Based Tri-Attention Network for Answer Ranking in CQA. AAAI 2021: 14463-14471 - [c232]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: 773-781 - [c231]Shu Liu, Haodong Sun, Hongyuan Zha:
A Particle-Evolving Method for Approximating the Optimal Transport Plan. GSI 2021: 878-887 - [c230]Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha:
A Hypergradient Approach to Robust Regression without Correspondence. ICLR 2021 - [c229]Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou:
Learning Stochastic Behaviour from Aggregate Data. ICML 2021: 7258-7267 - [c228]Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha:
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. ICML 2021: 11329-11339 - [c227]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: 637-645 - [c226]Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu:
Random Noise Defense Against Query-Based Black-Box Attacks. NeurIPS 2021: 7650-7663 - [c225]Qitian Wu, Rui Gao, Hongyuan Zha:
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators. NeurIPS 2021: 11274-11286 - [i99]Hongteng Xu, Dixin Luo, Hongyuan Zha:
Hawkes Processes on Graphons. CoRR abs/2102.02741 (2021) - [i98]Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou:
Learning High Dimensional Wasserstein Geodesics. CoRR abs/2102.02992 (2021) - [i97]Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha:
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning. CoRR abs/2102.04775 (2021) - [i96]Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha:
Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition. CoRR abs/2102.10616 (2021) - [i95]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. CoRR abs/2103.01342 (2021) - [i94]Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang:
Graph-Based Tri-Attention Network for Answer Ranking in CQA. CoRR abs/2103.03583 (2021) - [i93]Shaojun Ma, Haomin Zhou, Hongyuan Zha:
Mean Field Game GAN. CoRR abs/2103.07855 (2021) - [i92]Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu:
Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks. CoRR abs/2104.11470 (2021) - [i91]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 abs/2105.08268 (2021) - [i90]Shushan He, Hongyuan Zha, Xiaojing Ye:
Influence Estimation and Maximization via Neural Mean-Field Dynamics. CoRR abs/2106.02608 (2021) - [i89]Ruilin Li, Hongyuan Zha, Molei Tao:
Sqrt(d) Dimension Dependence of Langevin Monte Carlo. CoRR abs/2109.03839 (2021) - [i88]Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha:
Self-Training with Differentiable Teacher. CoRR abs/2109.07049 (2021) - [i87]Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha:
Low-rank Matrix Recovery With Unknown Correspondence. CoRR abs/2110.07959 (2021) - [i86]Shanchao Yang, Kaili Ma, Baoxiang Wang, Hongyuan Zha:
Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient. CoRR abs/2110.09035 (2021) - [i85]Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha:
Learning Prototype-oriented Set Representations for Meta-Learning. CoRR abs/2110.09140 (2021) - [i84]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 abs/2112.04785 (2021) - [i83]Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha:
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. CoRR abs/2112.10859 (2021) - 2020
- [j69]Zhe Ren, Junchi Yan, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
Unsupervised learning of optical flow with patch consistency and occlusion estimation. Pattern Recognit. 103: 107191 (2020) - [j68]Zhe Ren, Wenhan Luo, Junchi Yan, Wenlong Liao, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. IEEE Trans. Image Process. 29: 9113-9124 (2020) - [j67]Seyed Abbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee:
Recurrent Poisson Factorization for Temporal Recommendation. IEEE Trans. Knowl. Data Eng. 32(1): 121-134 (2020) - [c224]Qianming Xue, Wei Zhang, Hongyuan Zha:
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. AAAI 2020: 9362-9369 - [c223]Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha:
Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption. AAAI 2020: 9571-9578 - [c222]Jiachen Yang, Igor Borovikov, Hongyuan Zha:
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery. AAMAS 2020: 1566-1574 - [c221]Zhi Zhang, Jiachen Yang, Hongyuan Zha:
Integrating Independent and Centralized Multi-agent Reinforcement Learning for Traffic Signal Network Optimization. AAMAS 2020: 2083-2085 - [c220]Wen Wang, Wei Zhang, Wei Feng, Hongyuan Zha:
Sequential Multi-fusion Network for Multi-channel Video CTR Prediction. DASFAA (3) 2020: 3-18 - [c219]Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha:
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. ECCV (10) 2020: 633-649 - [c218]Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha:
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. ICLR 2020 - [c217]Jiachen Yang, Alireza Nakhaei, David Isele, Kikuo Fujimura, Hongyuan Zha:
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. ICLR 2020 - [c216]Jiachen Yang, Brenden K. Petersen, Hongyuan Zha, Daniel M. Faissol:
Single Episode Policy Transfer in Reinforcement Learning. ICLR 2020 - [c215]Rakshit Trivedi, Jiachen Yang, Hongyuan Zha:
GraphOpt: Learning Optimization Models of Graph Formation. ICML 2020: 9603-9613 - [c214]Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha:
Transformer Hawkes Process. ICML 2020: 11692-11702 - [c213]Xin Li, Xiangfeng Wang, Bo Jin, Wenjie Zhang, Jun Wang, Hongyuan Zha:
VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing. ICPR 2020: 1836-1843 - [c212]Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha:
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. ICPR 2020: 1859-1866 - [c211]Shushan He, Hongyuan Zha, Xiaojing Ye:
Network Diffusions via Neural Mean-Field Dynamics. NeurIPS 2020 - [c210]