Hangyu Mao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 56

Top Topics

Referential Integrity

Agent Communication

Reinforcement Learning

Top Venues

Publications

Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. CoRR (2024)
Zhishuai Li, Xiang Wang, Jingjing Zhao, Sun Yang, Guoqing Du, Xiaoru Hu, Bin Zhang, Yuxiao Ye, Ziyue Li, Rui Zhao, Hangyu Mao
PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency. CoRR (2024)
Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao
WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 54 (8) (2024)
Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao, Rui Zhao
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. AAMAS (2024)
Sun Yang, Qiong Su, Zhishuai Li, Ziyue Li, Hangyu Mao, Chenxi Liu, Rui Zhao
SQL-to-Schema Enhances Schema Linking in Text-to-SQL. CoRR (2024)
Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS (2024)
Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. CoRR (2024)
Sun Yang, Qiong Su, Zhishuai Li, Ziyue Li, Hangyu Mao, Chenxi Liu, Rui Zhao
SQL-to-Schema Enhances Schema Linking in Text-to-SQL. DEXA (1) (2024)
Haoyuan Jiang, Xuantang Xiong, Ziyue Li, Hangyu Mao, Guanghu Sui, Jingqing Ruan, Yuheng Cheng, Hua Wei, Wolfgang Ketter, Rui Zhao
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents. CoRR (2024)
Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. KDD (2024)
Bin Zhang, Yuxiao Ye, Guoqing Du, Xiaoru Hu, Zhishuai Li, Sun Yang, Chi Harold Liu, Rui Zhao, Ziyue Li, Hangyu Mao
Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation. CoRR (2024)
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
Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. ICSE-SEIP (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)
Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. CoRR (2023)
Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Guoqing Du, Shiwei Shi, Hangyu Mao, Xingyu Zeng, Rui Zhao
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents. CoRR (2023)
Bin Zhang, Hangyu Mao, Lijuan Li, Zhiwei Xu, Dapeng Li, Rui Zhao, Guoliang Fan
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems. CoRR (2023)
Bin He, Hangyu Mao
Digital Twin-Driven Product Sustainable Design for Low Carbon Footprint. J. Comput. Inf. Sci. Eng. 23 (6) (2023)
Guanghu Sui, Zhishuai Li, Ziyue Li, Sun Yang, Jingqing Ruan, Hangyu Mao, Rui Zhao
Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function - with Real Applications in Traffic Domain. CoRR (2023)
Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao, Rui Zhao
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. CoRR (2023)
Mingzhe Xing, Hangyu Mao, Shenglin Yin, Lichen Pan, Zhengchao Zhang, Zhen Xiao, Jieyi Long
A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning. KDD (2023)
Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems. CoRR (2023)
Bin He, Hangyu Mao, Tengyu Li, Jing-Long Xiao
A closed-loop digital twin modeling method integrated with carbon footprint analysis. Comput. Ind. Eng. 182 (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)
Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Lijuan Li, Guoliang Fan
Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach. CoRR (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)
Long Liu, Bin He, Dong Zhang, Hangyu Mao
Deep Belief Network-based Prediction for Gear Noise. ICMRE (2022)
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI (2022)
Mingzhe Xing, Hangyu Mao, Zhen Xiao
Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning. IJCAI (2022)
Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
Multiagent Q-learning with Sub-Team Coordination. AAMAS (2022)
Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao
Transformer in Transformer as Backbone for Deep Reinforcement Learning. CoRR (2022)
Yiqun Chen, Hangyu Mao, Tianle Zhang, Shiguang Wu, Bin Zhang, Jianye Hao, Dong Li, Bin Wang, Hongxing Chang
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning. CoRR (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)
Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. MICCAI (3) (2022)
Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
Multiagent Q-learning with Sub-Team Coordination. NeurIPS (2022)
Xianjie Zhang, Yu Liu, Hangyu Mao, Chao Yu
Common belief multi-agent reinforcement learning based on variational recurrent models. Neurocomputing 513 (2022)
Lichen Pan, Jun Qian, Wei Xia, Hangyu Mao, Jun Yao, Pengze Li, Zhen Xiao
. Middleware (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)
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)
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 (2021)
Xianjie Zhang, Yu Liu, Xiujuan Xu, Qiong Huang, Hangyu Mao, Anil Carie
Structural relational inference actor-critic for multi-agent reinforcement learning. Neurocomputing 459 (2021)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS (2021)
Hangyu Mao, Zhibo Gong, Zhen Xiao
Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing. CoRR (2020)
Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. AAAI (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)
Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni
Learning multi-agent communication with double attentional deep reinforcement learning. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni
Learning Agent Communication under Limited Bandwidth by Message Pruning. AAAI (2020)
Hangyu Mao, Zhibo Gong, Zhengchao Zhang, Zhen Xiao, Yan Ni
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing. CoRR (2019)
Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR (2019)
Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. AAMAS (2019)
Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni
Learning Agent Communication under Limited Bandwidth by Message Pruning. CoRR (2019)
Hangyu Mao, Yang Xiao, Yuan Wang, Jiakang Wang, Zhen Xiao
Topic-Specific Retweet Count Ranking for Weibo. PAKDD (3) (2018)
Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. CoRR (2018)
Yuan Wang, Hangyu Mao, Zhen Xiao
Identifying Influential Users' Professions via the Microblogs They Forward. SocInf@IJCAI (2017)
Hangyu Mao, Zhibo Gong, Yan Ni, Xiangyu Liu, Quanbin Wang, Weichen Ke, Chao Ma, Yiping Song, Zhen Xiao
ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning. CoRR (2017)
Yang Xiao, Yuan Wang, Hangyu Mao, Zhen Xiao
Predicting Restaurant Consumption Level through Social Media Footprints. COLING (2016)