Predicting Restaurant Consumption Level through Social Media Footprints. - Yang Xiao; Yuan Wang 009; Hangyu Mao; Zhen Xiao (COLING, 2016)

Identifying Influential Users' Professions via the Microblogs They Forward. - Yuan Wang 009; Hangyu Mao; Zhen Xiao (SocInf@IJCAI, 2017)

ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning. - Hangyu Mao; Zhibo Gong; Yan Ni; Xiangyu Liu; Quanbin Wang; Weichen Ke; Chao Ma; Yiping Song; Zhen Xiao (CoRR, 2017)

Topic-Specific Retweet Count Ranking for Weibo. - Hangyu Mao; Yang Xiao; Yuan Wang 009; Jiakang Wang; Zhen Xiao (PAKDD (3), 2018)

Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. - Hangyu Mao; Zhengchao Zhang; Zhen Xiao; Zhibo Gong (AAMAS, 2019)

Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing. - Hangyu Mao; Zhibo Gong; Zhengchao Zhang; Zhen Xiao; Yan Ni (CoRR, 2019)

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. - Hangyu Mao; Wulong Liu; Jianye Hao; Jun Luo 009; Dong Li 016; Zhengchao Zhang; Jun Wang 012; Zhen Xiao (AAAI, 2020)

Learning Agent Communication under Limited Bandwidth by Message Pruning. - Hangyu Mao; Zhengchao Zhang; Zhen Xiao; Zhibo Gong; Yan Ni (AAAI, 2020)

Towards robust and domain agnostic reinforcement learning competitions: MineRL 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; et al. (NeurIPS (Competition and Demos), 2020)

Learning multi-agent communication with double attentional deep reinforcement learning. - Hangyu Mao; Zhengchao Zhang; Zhen Xiao; Zhibo Gong; Yan Ni (Auton. Agents Multi Agent Syst., 2020)

Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing. - Hangyu Mao; Zhibo Gong; Zhen Xiao (CoRR, 2020)

SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition. - Hangyu Mao; Chao Wang; Xiaotian Hao; Yihuan Mao; Yiming Lu; Chengjie Wu; Jianye Hao; Dong Li 016; Pingzhong Tang (DAI, 2021)

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. - Tianpei Yang; Weixun Wang; Hongyao Tang; Jianye Hao; Zhaopeng Meng; Hangyu Mao; Dong Li 016; Wulong Liu; Yingfeng Chen; Yujing Hu; Changjie Fan; Chengwei Zhang 001 (NeurIPS, 2021)

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. - Tianze Zhou; Fubiao Zhang; Kun Shao; Kai Li 022; Wenhan Huang; Jun Luo 009; Weixun Wang; Yaodong Yang 002; Hangyu Mao; Bin Wang 034; Dong Li 016; Wulong Liu; et al. (CoRR, 2021)

Towards robust and domain agnostic reinforcement learning competitions. - 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; et al. (CoRR, 2021)

Structural relational inference actor-critic for multi-agent reinforcement learning. - Xianjie Zhang; Yu Liu 035; Xiujuan Xu; Qiong Huang 003; Hangyu Mao; Anil Carie (Neurocomputing, 2021)

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. - Hongyao Tang; Zhaopeng Meng; Jianye Hao; Chen Chen 077; Daniel Graves; Dong Li 016; Changmin Yu; Hangyu Mao; Wulong Liu; Yaodong Yang 002; Wenyuan Tao; Li Wang (AAAI, 2022)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (AAMAS, 2022)

Deep Belief Network-based Prediction for Gear Noise. - Long Liu; Bin He 006; Dong Zhang; Hangyu Mao (ICMRE, 2022)

Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning. - Mingzhe Xing; Hangyu Mao; Zhen Xiao (IJCAI, 2022)

Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. - Jinpeng Li 004; Guangyong Chen; Hangyu Mao; Danruo Deng; Dong Li 016; Jianye Hao; Qi Dou 001; Pheng-Ann Heng (MICCAI (3), 2022)

Optimizing communication in deep reinforcement learning with XingTian. - Lichen Pan; Jun Qian; Wei Xia; Hangyu Mao; Jun Yao; Pengze Li; Zhen Xiao (Middleware, 2022)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Matthew E. Taylor; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (NeurIPS, 2022)

API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. - Xiaotian Hao; Weixun Wang; Hangyu Mao; Yaodong Yang 002; Dong Li 016; Yan Zheng 002; Zhen Wang 004; Jianye Hao (CoRR, 2022)

PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning. - Yiqun Chen 004; Hangyu Mao; Tianle Zhang; Shiguang Wu 001; Bin Zhang 052; Jianye Hao; Dong Li 016; Bin Wang 034; Hongxing Chang (CoRR, 2022)

Transformer in Transformer as Backbone for Deep Reinforcement Learning. - Hangyu Mao; Rui Zhao 001; Hao Chen 011; Jianye Hao; Yiqun Chen 004; Dong Li 016; Junge Zhang; Zhen Xiao (CoRR, 2022)

Common belief multi-agent reinforcement learning based on variational recurrent models. - Xianjie Zhang; Yu Liu 035; Hangyu Mao; Chao Yu (Neurocomputing, 2022)

Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. - Jingqing Ruan; Xiaotian Hao; Dong Li 016; Hangyu Mao (ECAI, 2023)

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. - Jianye Hao; Xiaotian Hao; Hangyu Mao; Weixun Wang; Yaodong Yang 002; Dong Li 016; Yan Zheng 002; Zhen Wang 004 (ICLR, 2023)

Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. - Ming Yan 010; Junjie Chen 003; Hangyu Mao; Jiajun Jiang; Jianye Hao; Xingjian Li 007; Zhao Tian; Zhichao Chen; Dong Li 016; Zhangkong Xian; Yanwei Guo; Wulong Liu; et al. (ICSE-SEIP, 2023)

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 (KDD, 2023)

Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems. - Bin Zhang 052; Hangyu Mao; Lijuan Li 002; Zhiwei Xu 005; Dapeng Li 001; Rui Zhao 001; Guoliang Fan (CoRR, 2023)

TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents. - Jingqing Ruan; Yihong Chen; Bin Zhang 052; Zhiwei Xu 005; Tianpeng Bao; Guoqing Du; Shiwei Shi; Hangyu Mao; Xingyu Zeng; Rui Zhao 001 (CoRR, 2023)

Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function - with Real Applications in Traffic Domain. - Guanghu Sui; Zhishuai Li; Ziyue Li 002; Sun Yang; Jingqing Ruan; Hangyu Mao; Rui Zhao 001 (CoRR, 2023)

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems. - Yilun Kong; Jingqing Ruan; Yihong Chen; Bin Zhang 052; Tianpeng Bao; Shiwei Shi; Guoqing Du; Xiaoru Hu; Hangyu Mao; Ziyue Li 002; Xingyu Zeng; Rui Zhao 001 (CoRR, 2023)

Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach. - Bin Zhang 052; Hangyu Mao; Jingqing Ruan; Ying Wen 001; Yang Li 116; Shao Zhang; Zhiwei Xu 005; Dapeng Li 001; Ziyue Li 002; Rui Zhao 001; Lijuan Li 002; Guoliang Fan (CoRR, 2023)

A closed-loop digital twin modeling method integrated with carbon footprint analysis. - Bin He 006; Hangyu Mao; Tengyu Li; Jing-Long Xiao (Comput. Ind. Eng., 2023)

Digital Twin-Driven Product Sustainable Design for Low Carbon Footprint. - Bin He; Hangyu Mao (J. Comput. Inf. Sci. Eng., 2023)

DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. - Jiaming Lu; Jingqing Ruan; Haoyuan Jiang; Ziyue Li 002; Hangyu Mao; Rui Zhao 001 (AAMAS, 2024)

PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. - Hangyu Mao; Rui Zhao 001; Ziyue Li 002; Zhiwei Xu 005; Hao Chen 103; Yiqun Chen 004; Bin Zhang 052; Zhen Xiao; Junge Zhang; Jiangjin Yin (AAMAS, 2024)

SQL-to-Schema Enhances Schema Linking in Text-to-SQL. - Sun Yang; Qiong Su; Zhishuai Li; Ziyue Li 002; Hangyu Mao; Chenxi Liu 003; Rui Zhao 001 (DEXA (1), 2024)

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 052; Tianpeng Bao; Shiwei Shi; Du Qing; Xiaoru Hu; Hangyu Mao; Ziyue Li 002; Xingyu Zeng; Rui Zhao 001; et al. (EMNLP (Industry Track), 2024)

Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach. - Bin Zhang 052; Hangyu Mao; Lijuan Li 002; Zhiwei Xu 005; Dapeng Li 001; Rui Zhao 001; Guoliang Fan (ICML, 2024)

PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. - Yiqun Chen 004; Hangyu Mao; Jiaxin Mao; Shiguang Wu 001; Tianle Zhang; Bin Zhang 052; Wei Yang 041; Hongxing Chang (IJCAI, 2024)

X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. - Haoyuan Jiang; Ziyue Li 002; Hua Wei 001; Xuantang Xiong; Jingqing Ruan; Jiaming Lu; Hangyu Mao; Rui Zhao 001 (IJCAI, 2024)

CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. - Jingqing Ruan; Ziyue Li 002; Hua Wei 001; Haoyuan Jiang; Jiaming Lu; Xuantang Xiong; Hangyu Mao; Rui Zhao 001 (KDD, 2024)

Parallel Missing Tag Identification for Anonymous Multiple Users RFID Systems. - Jiangjin Yin; Hangyu Mao; Rongbo Zhu; Shiwei Xu (SECON, 2024)

GESA: A GEneral Scenario-Agnostic Reinforcement Learning for Traffic Signal Control. - Haoyuan Jiang; Ziyue Li 002; Zhishuai Li; Lei Bai 001; Hangyu Mao; Wolfgang Ketter; Rui Zhao 001 (STRL@IJCAI, 2024)

Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation. - Bin Zhang 052; Yuxiao Ye; Guoqing Du; Xiaoru Hu; Zhishuai Li; Sun Yang; Chi Harold Liu; Rui Zhao 001; Ziyue Li 002; Hangyu Mao (CoRR, 2024)

PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency. - Zhishuai Li; Xiang Wang 012; Jingjing Zhao; Sun Yang; Guoqing Du; Xiaoru Hu; Bin Zhang 052; Yuxiao Ye; Ziyue Li 002; Rui Zhao 001; Hangyu Mao (CoRR, 2024)

GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents. - Haoyuan Jiang; Xuantang Xiong; Ziyue Li 002; Hangyu Mao; Guanghu Sui; Jingqing Ruan; Yuheng Cheng; Hua Wei 001; Wolfgang Ketter; Rui Zhao 001 (CoRR, 2024)

Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning. - Zhiwei Xu 005; Hangyu Mao; Nianmin Zhang; Xin Xin 003; Pengjie Ren; Dapeng Li 001; Bin Zhang 052; Guoliang Fan; Zhumin Chen; Changwei Wang 001; Jiangjin Yin (CoRR, 2024)

Mimicking Human Intuition: Cognitive Belief-Driven Q-Learning. - Xingrui Gu; Guanren Qiao; Chuyi Jiang; Tianqing Xia; Hangyu Mao (CoRR, 2024)

DMQR-RAG: Diverse Multi-Query Rewriting for RAG. - Zhicong Li; Jiahao Wang; Zhishu Jiang; Hangyu Mao; Zhongxia Chen; Jiazhen Du; Yuanxing Zhang; Fuzheng Zhang; Di Zhang; Yong Liu (CoRR, 2024)

WToE: Learning When to Explore in Multiagent Reinforcement Learning. - Shaokang Dong; Hangyu Mao; Shangdong Yang; Shengyu Zhu 001; Wenbin Li 006; Jianye Hao; Yang Gao 001 (IEEE Trans. Cybern., 2024)

A General Scenario-Agnostic Reinforcement Learning for Traffic Signal Control. - Haoyuan Jiang; Ziyue Li 002; Zhishuai Li; Lei Bai 001; Hangyu Mao; Wolfgang Ketter; Rui Zhao 001 (IEEE Trans. Intell. Transp. Syst., 2024)

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. - Yongyan Wen; Siyuan Li 003; Rongchang Zuo; Lei Yuan; Hangyu Mao; Peng Liu 008 (AAAI, 2025)

DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering. - Rong Cheng; Jinyi Liu 002; Yan Zheng 002; Fei Ni 001; Jiazhen Du; Hangyu Mao; Fuzheng Zhang; Bo Wang 027; Jianye Hao (ACL (1), 2025)

SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. - Yibin Chen; Yifu Yuan; Zeyu Zhang; Yan Zheng 002; Jinyi Liu 002; Fei Ni 001; Jianye Hao; Hangyu Mao; Fuzheng Zhang (WWW, 2025)

QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. - Yilun Kong; Hangyu Mao; Qi Zhao; Bin Zhang 052; Jingqing Ruan; Li Shen 008; Yongzhe Chang; Xueqian Wang 001; Rui Zhao 001; Dacheng Tao (Trans. Mach. Learn. Res., 2025)

From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models. - Jinyi Liu 002; Yan Zheng 002; Rong Cheng; Qiyu Wu 006; Wei Guo; Fei Ni 001; Hebin Liang; Yifu Yuan; Hangyu Mao; Fuzheng Zhang; Jianye Hao (CoRR, 2025)

Efficient Missing Key Tag Identification in Large-Scale RFID Systems: An Iterative Verification and Selection Method. - Jiangjin Yin; Xin Xie 001; Hangyu Mao; Song Guo 001 (IEEE Trans. Mob. Comput., 2025)

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence. - Zhicong Li; Hangyu Mao; Jiangjin Yin; Mingzhe Xing; Zhiwei Xu 005; Yuanxing Zhang; Yang Xiao (CoRR, 2025)

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning. - Guanting Dong; Yifei Chen 001; Xiaoxi Li; Jiajie Jin; Hongjin Qian; Yutao Zhu 001; Hangyu Mao; Guorui Zhou; Zhicheng Dou; Ji-Rong Wen (CoRR, 2025)

Agentic Reinforced Policy Optimization. - Guanting Dong; Hangyu Mao; Kai Ma; Licheng Bao; Yifei Chen 001; Zhongyuan Wang 006; Zhongxia Chen; Jiazhen Du; Huiyang Wang; Fuzheng Zhang; Guorui Zhou; Yutao Zhu 001; et al. (CoRR, 2025)