Yaodong Yang - RankMe

37 papers A* 9A 6Misc 1Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Boosting In-Silicon Directed Evolution with Fine-Tuned Protein Language Model and Tree Search. CoRR Yaodong Yang, Yang Wang, Jinpeng Li, Pei Guo, Da Han, Guangyong Chen, Pheng-Ann Heng
2025	A	`conf`	Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. AAMAS Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng
2025	J	`jnl`	Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. CoRR Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng
2024	A	`conf`	DPPMask: Masked Image Modeling with Determinantal Point Processes. WACV Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen, Pheng-Ann Heng
2024	A*	`conf`	Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. ICML Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng
2023	A*	`conf`	Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. ICLR Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang
2023	J	`jnl`	DPPMask: Masked Image Modeling with Determinantal Point Processes. CoRR Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Bian Wu, Guangyong Chen, Pheng-Ann Heng
2022	A*	`conf`	A Unified Diversity Measure for Multiagent Reinforcement Learning. NeurIPS Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li
2022	J	`jnl`	API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. CoRR Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao
2022	A*	`conf`	Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng
2022	A*	`conf`	What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
2021	J	`jnl`	Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR 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
2021	A	`conf`	Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. AAMAS Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor
2021	J	`jnl`	Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. CoRR Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor
2021	A*	`conf`	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
2021	J	`jnl`	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
2020	J	`jnl`	Combining sequence and network information to enhance protein-protein interaction prediction. BMC Bioinform. Leilei Liu, Xianglei Zhu, Yi Ma, Haiyin Piao, Yaodong Yang, Xiaotian Hao, Yue Fu, Li Wang, Jiajie Peng
2020	A*	`conf`	Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
2020	J	`jnl`	Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
2020	J	`jnl`	Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang
2020	Misc	`conf`	SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang
2020	J	`jnl`	SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang
2020	J	`jnl`	What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
2019	J	`jnl`	Attention-based recurrent neural network for influenza epidemic prediction. BMC Bioinform. Xianglei Zhu, Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Sen Liu, Weiming Guo, Zhenyu Liao
2019	J	`jnl`	Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang
2019	A	`conf`	Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. AAMAS Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
2019	J	`jnl`	Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. CoRR Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
2019	—	`conf`	Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks. BIBM Leilei Liu, Yi Ma, Xianglei Zhu, Yaodong Yang, Xiaotian Hao, Li Wang, Jiajie Peng
2019	A*	`conf`	Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. IJCAI Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu
2019	A	`conf`	Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework. AAMAS Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu
2019	J	`jnl`	Spectral-based Graph Convolutional Network for Directed Graphs. CoRR Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen
2019	J	`jnl`	Using deep reinforcement learning to speed up collective cell migration. BMC Bioinform. Hanxu Hou, Tian Gan, Yaodong Yang, Xianglei Zhu, Sen Liu, Weiming Guo, Jianye Hao
2018	—	`conf`	Attention-Based Recurrent Multi-Channel Neural Network for Influenza Epidemic Prediction. BIBM Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Zhenyu Liao, Xianglei Zhu
2018	A	`conf`	Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid. AAMAS Yaodong Yang, Jianye Hao, Zan Wang, Mingyang Sun, Goran Strbac
2018	A*	`conf`	Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid. IJCAI Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac
2018	—	`conf`	Speeding up Collective Cell Migration Using Deep Reinforcement Learning. BIBM Tian Gan, Yaodong Yang, Jianye Hao, Zhenyu Liao, Xianglei Zhu
2017	—	`conf`	A real-time ensemble classification algorithm for time series data. ICA Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao