Hangyu Mao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
18
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning. | Guanting Dong, Licheng Bao, Zhongyuan Wang, Kangzhi Zhao, Xiaoxi Li, Jiajie Jin, Jinghan Yang, Hangyu Mao, Fuzheng Zhang, Kun Gai, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | SIGIR | Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning. | Guanting Dong, Yifei Chen, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Yutao Zhu, Hangyu Mao, Guorui Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2025 | AAAI | SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. | Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu |
| 2025 | ACL | DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering. | Rong Cheng, Jinyi Liu, Yan Zheng, Fei Ni, Jiazhen Du, Hangyu Mao, Fuzheng Zhang, Bo Wang, Jianye Hao |
| 2025 | DASFAA | PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-Consistency. | Zhishuai Li, Xiang Wang, Jingjing Zhao, Sun Yang, Guoqing Du, Xiaoru Hu, Bin Zhang, Yuxiao Ye, Ziyue Li, Hangyu Mao, Rui Zhao |
| 2025 | ICML | Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning. | Zhiwei Xu, Kun Hu, Xin Xin, Weiliang Meng, Yiwei Shi, Hangyu Mao, Bin Zhang, Dapeng Li, Jiangjin Yin |
| 2025 | WWW | SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. | Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao, Hangyu Mao, Fuzheng Zhang |
| 2024 | DEXA | SQL-to-Schema Enhances Schema Linking in Text-to-SQL. | Sun Yang, Qiong Su, Zhishuai Li, Ziyue Li, Hangyu Mao, Chenxi Liu, Rui Zhao |
| 2024 | EMNLP | TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. | Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Du Qing, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, Xueqian Wang |
| 2024 | ICML | Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach. | Bin Zhang, Hangyu Mao, Lijuan Li, Zhiwei Xu, Dapeng Li, Rui Zhao, Guoliang Fan |
| 2024 | IJCAI | PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. | Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang |
| 2024 | IJCAI | X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. | Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao |
| 2024 | KDD | CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. | Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao |
| 2024 | SECON | Parallel Missing Tag Identification for Anonymous Multiple Users RFID Systems. | Jiangjin Yin, Hangyu Mao, Rongbo Zhu, Shiwei Xu |
| 2023 | ECAI | Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. | Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao |
| 2023 | ICLR | Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. | Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang |
| 2023 | ICSE | Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. | Ming Yan, Junjie Chen, Hangyu Mao, Jiajun Jiang, Jianye Hao, Xingjian Li, Zhao Tian, Zhichao Chen, Dong Li, Zhangkong Xian, Yanwei Guo, Wulong Liu, Bin Wang, Yuefeng Sun, Yongshun Cui |
| 2023 | KDD | A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning. | Mingzhe Xing, Hangyu Mao, Shenglin Yin, Lichen Pan, Zhengchao Zhang, Zhen Xiao, Jieyi Long |
| 2022 | AAAI | What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. | Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang |
| 2022 | IJCAI | Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning. | Mingzhe Xing, Hangyu Mao, Zhen Xiao |
| 2022 | MICCAI | Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. | Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng |
| 2022 | Middleware | Optimizing communication in deep reinforcement learning with | Lichen Pan, Jun Qian, Wei Xia, Hangyu Mao, Jun Yao, Pengze Li, Zhen Xiao |
| 2020 | AAAI | Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. | Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao |
| 2020 | AAAI | Learning Agent Communication under Limited Bandwidth by Message Pruning. | Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni |
| 2018 | PAKDD | Topic-Specific Retweet Count Ranking for Weibo. | Hangyu Mao, Yang Xiao, Yuan Wang, Jiakang Wang, Zhen Xiao |
| 2017 | IJCAI | Identifying Influential Users' Professions via the Microblogs They Forward. | Yuan Wang, Hangyu Mao, Zhen Xiao |
| 2016 | COLING | Predicting Restaurant Consumption Level through Social Media Footprints. | Yang Xiao, Yuan Wang, Hangyu Mao, Zhen Xiao |