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Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning


Oct 31, 2022
Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu

* 11 pages, 5 figures, 11 tables 

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Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport


Oct 09, 2022
Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha


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Differentially Private Estimation of Hawkes Process


Sep 15, 2022
Simiao Zuo, Tianyi Liu, Tuo Zhao, Hongyuan Zha


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Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification


Aug 05, 2022
Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha


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Robust Knowledge Adaptation for Dynamic Graph Neural Networks


Jul 22, 2022
Hanjie Li, Changsheng Li, Kaituo Feng, Ye Yuan, Guoren Wang, Hongyuan Zha

* 14 pages, 6 figures 

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BackdoorBench: A Comprehensive Benchmark of Backdoor Learning


Jun 25, 2022
Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha

* 30 pages, 14 figures, 10 tables 

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Learning Neural Hamiltonian Dynamics: A Methodological Overview


Feb 28, 2022
Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha


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Multi-Agent Path Finding with Prioritized Communication Learning


Feb 10, 2022
Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang

* 7 pages, 5 figures, 3 tables, ICRA 2022 Camera Ready 

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Obtaining Dyadic Fairness by Optimal Transport


Feb 09, 2022
Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha

* 7 pages, 5 figures, Accepted in the 1st International Workshop on Optimal Transport and Structured Data Modeling 

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VMAgent: Scheduling Simulator for Reinforcement Learning


Dec 09, 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


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