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Hangyu Mao
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2020 – today
- 2024
- [j7]Shaokang Dong
, Hangyu Mao
WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 54(8): 4789-4801 (2024) - [j6]Haoyuan Jiang, Ziyue Li
A General Scenario-Agnostic Reinforcement Learning for Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 25(9): 11330-11344 (2024) - [c29]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: 1283-1291 - [c28]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: 1363-1371 - [c27]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: 139-145 - [c26]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:
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. EMNLP (Industry Track) 2024: 371-385 - [c25]Bin Zhang, Hangyu Mao, Lijuan Li, Zhiwei Xu, Dapeng Li, Rui Zhao, Guoliang Fan:
Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach. ICML 2024 - [c24]Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang:
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. IJCAI 2024: 31-39 - [c23]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. IJCAI 2024: 94-102 - [c22]Jingqing Ruan
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. KDD 2024: 2500-2511 - [c21]Haoyuan Jiang, Ziyue Li, Zhishuai Li, Lei Bai, Hangyu Mao, Wolfgang Ketter, Rui Zhao:
GESA: A GEneral Scenario-Agnostic Reinforcement Learning for Traffic Signal Control. STRL@IJCAI 2024 - [i29]Bin Zhang, Yuxiao Ye, Guoqing Du, Xiaoru Hu, Zhishuai Li, Sun Yang, Chi Harold Liu, Rui Zhao, Ziyue Li
Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation. CoRR abs/2403.02951 (2024) - [i28]Zhishuai Li, Xiang Wang, Jingjing Zhao, Sun Yang, Guoqing Du, Xiaoru Hu, Bin Zhang, Yuxiao Ye, Ziyue Li
PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency. CoRR abs/2403.09732 (2024) - [i27]Haoyuan Jiang, Ziyue Li
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. CoRR abs/2404.12090 (2024) - [i26]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 abs/2405.09593 (2024) - [i25]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 abs/2405.17152 (2024) - [i24]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 abs/2407.10811 (2024) - [i23]Zhiwei Xu, Hangyu Mao, Nianmin Zhang, Xin Xin, Pengjie Ren, Dapeng Li, Bin Zhang, Guoliang Fan, Zhumin Chen, Changwei Wang, Jiangjin Yin:
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2408.09501 (2024) - [i22]Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao:
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. CoRR abs/2408.10504 (2024) - [i21]Xingrui Gu, Guanren Qiao, Chuyi Jiang, Tianqing Xia, Hangyu Mao:
Mimicking Human Intuition: Cognitive Belief-Driven Q-Learning. CoRR abs/2410.01739 (2024) - 2023
- [j5]Bin He
A closed-loop digital twin modeling method integrated with carbon footprint analysis. Comput. Ind. Eng. 182: 109389 (2023) - [j4]Bin He, Hangyu Mao:
Digital Twin-Driven Product Sustainable Design for Low Carbon Footprint. J. Comput. Inf. Sci. Eng. 23(6) (2023) - [c20]Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao:
Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. ECAI 2023: 2010-2017 - [c19]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 - [c18]Ming Yan
Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. ICSE-SEIP 2023: 343-354 - [c17]Mingzhe Xing
A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning. KDD 2023: 2776-2788 - [i20]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 abs/2305.07856 (2023) - [i19]Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao:
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning. CoRR abs/2307.15530 (2023) - [i18]Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents. CoRR abs/2308.03427 (2023) - [i17]Guanghu Sui, Zhishuai Li, Ziyue Li
Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function - with Real Applications in Traffic Domain. CoRR abs/2310.18752 (2023) - [i16]Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems. CoRR abs/2311.11315 (2023) - [i15]Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu
Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach. CoRR abs/2311.13884 (2023) - [i14]Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. CoRR abs/2312.14532 (2023) - [i13]Hangyu Mao, Rui Zhao, Ziyue Li
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. CoRR abs/2312.15863 (2023) - 2022
- [j3]Xianjie Zhang, Yu Liu, Hangyu Mao, Chao Yu:
Common belief multi-agent reinforcement learning based on variational recurrent models. Neurocomputing 513: 341-350 (2022) - [c16]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: 8441-8449 - [c15]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: 1630-1632 - [c14]Long Liu, Bin He
Deep Belief Network-based Prediction for Gear Noise. ICMRE 2022: 50-54 - [c13]Mingzhe Xing, Hangyu Mao, Zhen Xiao:
Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning. IJCAI 2022: 564-570 - [c12]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: 217-226 - [c11]Lichen Pan, Jun Qian, Wei Xia, Hangyu Mao, Jun Yao, Pengze Li, Zhen Xiao:
Optimizing communication in deep reinforcement learning with XingTian. Middleware 2022: 255-268 - [c10]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 - [i12]Xiaotian Hao, Weixun Wang
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. CoRR abs/2203.05285 (2022) - [i11]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 abs/2210.08872 (2022) - [i10]Hangyu Mao, Rui Zhao, Hao Chen
Transformer in Transformer as Backbone for Deep Reinforcement Learning. CoRR abs/2212.14538 (2022) - 2021
- [j2]Xianjie Zhang, Yu Liu, Xiujuan Xu, Qiong Huang
Structural relational inference actor-critic for multi-agent reinforcement learning. Neurocomputing 459: 383-394 (2021) - [c9]Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu
SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition. DAI 2021: 38-51 - [c8]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: 17037-17048 - [i9]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 abs/2106.00517 (2021) - [i8]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 abs/2106.03748 (2021) - [i7]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 abs/2111.08857 (2021) - 2020
- [j1]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): 32 (2020) - [c7]Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni:
Learning Agent Communication under Limited Bandwidth by Message Pruning. AAAI 2020: 5142-5149 - [c6]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: 7219-7226 - [c5]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: 233-252 - [i6]Hangyu Mao, Zhibo Gong, Zhen Xiao:
Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing. CoRR abs/2003.03433 (2020)
2010 – 2019
- 2019
- [c4]Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong:
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. AAMAS 2019: 1108-1116 - [i5]Hangyu Mao, Zhibo Gong, Zhengchao Zhang, Zhen Xiao, Yan Ni:
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing. CoRR abs/1903.05561 (2019) - [i4]Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao:
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR abs/1912.01160 (2019) - [i3]Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni:
Learning Agent Communication under Limited Bandwidth by Message Pruning. CoRR abs/1912.05304 (2019) - 2018
- [c3]Hangyu Mao, Yang Xiao, Yuan Wang, Jiakang Wang, Zhen Xiao:
Topic-Specific Retweet Count Ranking for Weibo. PAKDD (3) 2018: 625-637 - [i2]Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong:
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. CoRR abs/1811.07029 (2018) - 2017
- [c2]Yuan Wang, Hangyu Mao, Zhen Xiao:
Identifying Influential Users' Professions via the Microblogs They Forward. SocInf@IJCAI 2017: 33-44 - [i1]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 abs/1706.03235 (2017) - 2016
- [c1]Yang Xiao, Yuan Wang, Hangyu Mao, Zhen Xiao:
Predicting Restaurant Consumption Level through Social Media Footprints. COLING 2016: 3328-3338
Coauthor Index
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last updated on 2024-12-08 01:32 CET by the dblp team
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