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Yaodong Yang 0002
Person information
- affiliation: Chinese University of Hong Kong, Hong Kong
- affiliation (former): Huawei Noah's Ark Lab, China
- affiliation (former): Tianjin University, Tianjin, China
Other persons with the same name
- Yaodong Yang — disambiguation page
- Yaodong Yang 0001
— Peking University, Institute for AI, Beijing, China (and 3 more)
- Yaodong Yang 0003 — University of Nebraska - Lincoln, USA
- Yaodong Yang 0004 — University of Science and Technology Beijing, Beijing, China
- Yaodong Yang 0005 — Hefei University of Technology, School of Mathematics, China
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2020 – today
- 2024
- [c14]Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen, Pheng-Ann Heng:
DPPMask: Masked Image Modeling with Determinantal Point Processes. WACV 2024: 2255-2265 - 2023
- [c13]Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang:
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. ICLR 2023 - [i10]Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Bian Wu, Guangyong Chen, Pheng-Ann Heng:
DPPMask: Masked Image Modeling with Determinantal Point Processes. CoRR abs/2303.12736 (2023) - 2022
- [c12]Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li:
A Unified Diversity Measure for Multiagent Reinforcement Learning. NeurIPS 2022 - [i9]Xiaotian Hao, Weixun Wang
, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao:
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. CoRR abs/2203.05285 (2022) - 2021
- [c11]Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao:
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI 2021: 9834-9842 - [i8]Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng:
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR abs/2103.02225 (2021) - [i7]Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao:
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR abs/2106.00517 (2021) - 2020
- [j3]Leilei Liu, Xianglei Zhu, Yi Ma, Haiyin Piao
, Yaodong Yang, Xiaotian Hao, Yue Fu, Li Wang, Jiajie Peng
:
Combining sequence and network information to enhance protein-protein interaction prediction. BMC Bioinform. 21-S(16): 537 (2020) - [c10]Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei:
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML 2020: 10706-10715 - [i6]Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang:
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR abs/2002.03939 (2020) - [i5]Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei:
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR abs/2002.03950 (2020) - [i4]Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang:
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR abs/2010.09536 (2020)
2010 – 2019
- 2019
- [j2]Hanxu Hou, Tian Gan, Yaodong Yang, Xianglei Zhu, Sen Liu, Weiming Guo, Jianye Hao:
Using deep reinforcement learning to speed up collective cell migration. BMC Bioinform. 20-S(18): 571:1-571:10 (2019) - [j1]Xianglei Zhu, Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Sen Liu, Weiming Guo, Zhenyu Liao:
Attention-based recurrent neural network for influenza epidemic prediction. BMC Bioinform. 20-S(18): 575:1-575:10 (2019) - [c9]Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang:
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. AAMAS 2019: 1315-1323 - [c8]Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu:
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework. AAMAS 2019: 2285-2287 - [c7]Leilei Liu, Yi Ma, Xianglei Zhu, Yaodong Yang, Xiaotian Hao, Li Wang, Jiajie Peng:
Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks. BIBM 2019: 1762-1768 - [c6]Yaodong Yang, Jianye Hao, Yan Zheng
, Chao Yu:
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. IJCAI 2019: 630-636 - [i3]Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang:
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR abs/1905.11100 (2019) - [i2]Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen:
Spectral-based Graph Convolutional Network for Directed Graphs. CoRR abs/1907.08990 (2019) - [i1]Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang:
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. CoRR abs/1909.11468 (2019) - 2018
- [c5]Yaodong Yang, Jianye Hao, Zan Wang, Mingyang Sun, Goran Strbac:
Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid. AAMAS 2018: 2136-2138 - [c4]Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Zhenyu Liao, Xianglei Zhu:
Attention-Based Recurrent Multi-Channel Neural Network for Influenza Epidemic Prediction. BIBM 2018: 1245-1248 - [c3]Tian Gan, Yaodong Yang, Jianye Hao, Zhenyu Liao, Xianglei Zhu:
Speeding up Collective Cell Migration Using Deep Reinforcement Learning. BIBM 2018: 1277-1280 - [c2]Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac:
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid. IJCAI 2018: 569-575 - 2017
- [c1]Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao:
A real-time ensemble classification algorithm for time series data. ICA 2017: 145-150
Coauthor Index
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last updated on 2024-08-16 18:28 CEST by the dblp team
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