Xiaotian Hao

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 40

Top Topics

Stochastic Games

Protein Interaction

Multiagent Systems

Reinforcement Learning

Top Venues

Publications

Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. AAAI (2024)
Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAAI (2024)
Xi Zeng, Xiaotian Hao, Hongyao Tang, Zhentao Tang, Shaoqing Jiao, Dazhi Lu, Jiajie Peng
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning. AAAI (2024)
Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao
A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. CIKM (2023)
Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning. CoRR (2023)
Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao
ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 37 (2) (2023)
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)
Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. ECAI (2023)
Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAMAS (2023)
Ji Cheng, Da Yan, Wenwen Qu, Xiaotian Hao, Cheng Long, Wilfred Ng, Xiaoling Wang
Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods. ACM Trans. Database Syst. 47 (2) (2022)
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 (2022)
Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS (2022)
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. ICML (2022)
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. CoRR (2022)
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition. DAI (2021)
Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. NeurIPS (2021)
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition. CoRR (2021)
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute
Towards robust and domain agnostic reinforcement learning competitions. CoRR (2021)
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. CoRR (2020)
Hanchao Wang, Hongyao Tang, Jianye Hao, Xiaotian Hao, Yue Fu, Yi Ma
Large Scale Deep Reinforcement Learning in War-games. BIBM (2020)
Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhao-Peng Meng, Xiaotian Hao
Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments. J. Comput. Sci. Technol. 35 (2) (2020)
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. CoRR (2020)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. AAAI (2020)
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. ICML (2020)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. ICLR (2020)
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. (16) (2020)
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute
Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020. NeurIPS (Competition and Demos) (2020)
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. IJCAI (2020)
Ji Cheng, Guimu Guo, Da Yan, Xiaotian Hao, Wilfred Ng
EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models. IEEE BigData (2019)
Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. CoRR (2019)
Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. AAMAS (2019)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. CoRR (2019)
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai
Learning Adaptive Display Exposure for Real-Time Advertising. CIKM (2019)
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)
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)
Ji Cheng, Da Yan, Xiaotian Hao, Wilfred Ng
Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach. ICDE (2019)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. CoRR (2019)
Xiaotian Hao, Jianye Hao, Wang Li, Hanxu Hou
Effective norm emergence in cell systems under limited communication. BMC Bioinform. (5) (2018)
Xiaotian Hao, Jianye Hao, Wang Li
Effective norm emergence in cell systems under limited communication. BIBM (2017)
Xiaotian Hao, Ji Cheng, Jan Vosecky, Wilfred Ng
Towards a Query-Less News Search Framework on Twitter. DASFAA (2) (2017)
Kai Xing, Di Jiang, Wilfred Ng, Xiaotian Hao
ADI: Towards a Framework of App Developer Inspection. DASFAA (2) (2014)