dong’s personal blog
Research
My current research focuses on multiagent reinforcement learning and AI for drug discovery.
Timeline
2022.08 - Now: PhD student in The Chinese University of Hong Kong. (MiuLar Lab,
supervised by Prof. Pheng Ann Heng and Prof. Guangyong Chen).
2021.12 - 2022.07: Research Assistant in The Chinese University of Hong Kong.
2021.07 - 2021.12: Visiting Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen.
2020.07 - 2021.03: Researcher in Decision Making & Reasoning Lab, Noah’s Ark Lab, Huawei, Hong Kong.
2019.09 - 2020.01: Internship in Quantum Lab, Tencent, Shenzhen.
2019.01 - 2019.06: Internship in Fuxi AI Lab, Netease, Hangzhou.
2017.09 - 2020.02: Master in Software Engineering, Tianjin University. (TJU-RLLAB, supervised by Prof. Jianye Hao)
2013.09 - 2017.07: Bachelor in Software Engineering, Tianjin University.
Publication
2024
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[Communications Biology] Yaodong Yang, Guangyong Chen, Jinpeng Li, Junyou Li, Odin Zhang, Xujun Zhang, Lanqing Li, Jianye Hao, Ercheng Wang & Pheng-Ann Heng. 2024.
“Enabling target-aware molecule generation to follow multi objectives with Pareto MCTS”. Communications Biology 7, 1074
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[ICML 2024] Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng. 2024.
“Sample-Efficient Multiagent Reinforcement Learning with Reset Replay.”
In Proceedings of the 41st International Conference on Machine Learning.
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[WACV 2024] Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen, Pheng-Ann Heng. 2024.
“DPPMask: Masked Image Modeling with Determinantal Point Processes.”
In Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision.
2023
2022
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[NeurIPS 2022] Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao and Pheng Ann Heng. 2022.
“Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing.”
In Proceedings of the 36th Conference on Neural Information Processing Systems.
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[AAAI 2022] Tang, Hongyao, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao and Li Wang. 2022.
“What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.”
In Proceedings of the 36th AAAI Conference on Artificial Intelligence, 8441-8449.
2021
2020
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Yang, Yaodong, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, and Hongyao Tang. 2020.
“Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning.”
CoRR abs/2002.03939.
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[ICML 2020] Yang, Yaodong, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, and Zhongyu Wei. 2020.
“Q-Value Path Decomposition for Deep Multiagent Reinforcement Learning.”
In Proceedings of the 37th International Conference on Machine Learning.
2019
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[IJCAI 2019] Yang, Yaodong, Jianye Hao, Yan Zheng, and Chao Yu. 2019.
“Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework.”
In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 630–636.
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[AAMAS 2019] Hao, Xiaotian, Weixun Wang, Jianye Hao, and Yaodong Yang. 2019.
“Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems.”
In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 1315–1323.
2018
Service
Reviewer for IJCAI (2021, 2022, 2023, 2024), NeurIPS (2023, 2024), ICLR (2024, 2025), ICML (2024), AAAI (2025).
Reviewer for Applied Energy, Information Sciences, Neural Networks.
Email: yydapple@gmail.com.
Copyright
[CC BY-SA 4.0 International License]
