Hangyu Mao - RankMe

84 papers A* 16A 6B 2Journal 48Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning. WWW 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
2025	J	`jnl`	Agentic Entropy-Balanced Policy Optimization. CoRR 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
2025	J	`jnl`	Agentic Reinforced Policy Optimization. CoRR Guanting Dong, Hangyu Mao, Kai Ma, Licheng Bao, Yifei Chen, Zhongyuan Wang, Zhongxia Chen, Jiazhen Du, Huiyang Wang, Fuzheng Zhang, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou
2025	—	`conf`	DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering. ACL (1) Rong Cheng, Jinyi Liu, Yan Zheng, Fei Ni, Jiazhen Du, Hangyu Mao, Fuzheng Zhang, Bo Wang, Jianye Hao
2025	J	`jnl`	DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering. CoRR Rong Cheng, Jinyi Liu, Yan Zheng, Fei Ni, Jiazhen Du, Hangyu Mao, Fuzheng Zhang, Bo Wang, Jianye Hao
2025	J	`jnl`	Efficient Missing Key Tag Identification in Large-Scale RFID Systems: An Iterative Verification and Selection Method. IEEE Trans. Mob. Comput. Jiangjin Yin, Xin Xie, Hangyu Mao, Song Guo
2025	J	`jnl`	From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models. CoRR Jinyi Liu, Yan Zheng, Rong Cheng, Qiyu Wu, Wei Guo, Fei Ni, Hebin Liang, Yifu Yuan, Hangyu Mao, Fuzheng Zhang, Jianye Hao
2025	J	`jnl`	GARDO: Reinforcing Diffusion Models without Reward Hacking. CoRR Haoran He, Yuxiao Ye, Jie Liu, Jiajun Liang, Zhiyong Wang, Ziyang Yuan, Xintao Wang, Hangyu Mao, Pengfei Wan, Ling Pan
2025	J	`jnl`	GPG: Generalized Policy Gradient Theorem for Transformer-based Policies. CoRR Hangyu Mao, Guangting Dong, Zhicheng Dou
2025	J	`jnl`	NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence. CoRR Zhicong Li, Hangyu Mao, Jiangjin Yin, Mingzhe Xing, Zhiwei Xu, Yuanxing Zhang, Yang Xiao
2025	—	`conf`	PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-Consistency. DASFAA (2) Zhishuai Li, Xiang Wang, Jingjing Zhao, Sun Yang, Guoqing Du, Xiaoru Hu, Bin Zhang, Yuxiao Ye, Ziyue Li, Hangyu Mao, Rui Zhao
2025	J	`jnl`	QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. Trans. Mach. Learn. Res. Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao
2025	A*	`conf`	Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning. ICML Zhiwei Xu, Kun Hu, Xin Xin, Weiliang Meng, Yiwei Shi, Hangyu Mao, Bin Zhang, Dapeng Li, Jiangjin Yin
2025	A*	`conf`	SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. WWW Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao, Hangyu Mao, Fuzheng Zhang
2025	A*	`conf`	SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. AAAI Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu
2025	J	`jnl`	Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning. CoRR Guanting Dong, Yifei Chen, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Yutao Zhu, Hangyu Mao, Guorui Zhou, Zhicheng Dou, Ji-Rong Wen
2024	J	`jnl`	A General Scenario-Agnostic Reinforcement Learning for Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. Haoyuan Jiang, Ziyue Li, Zhishuai Li, Lei Bai, Hangyu Mao, Wolfgang Ketter, Rui Zhao
2024	J	`jnl`	Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation. CoRR Bin Zhang, Yuxiao Ye, Guoqing Du, Xiaoru Hu, Zhishuai Li, Sun Yang, Chi Harold Liu, Rui Zhao, Ziyue Li, Hangyu Mao
2024	J	`jnl`	Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning. CoRR Zhiwei Xu, Hangyu Mao, Nianmin Zhang, Xin Xin, Pengjie Ren, Dapeng Li, Bin Zhang, Guoliang Fan, Zhumin Chen, Changwei Wang, Jiangjin Yin
2024	A*	`conf`	CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. KDD Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao
2024	J	`jnl`	CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. CoRR Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao
2024	J	`jnl`	DMQR-RAG: Diverse Multi-Query Rewriting for RAG. CoRR Zhicong Li, Jiahao Wang, Zhishu Jiang, Hangyu Mao, Zhongxia Chen, Jiazhen Du, Yuanxing Zhang, Fuzheng Zhang, Di Zhang, Yong Liu
2024	A	`conf`	DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. AAMAS Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao, Rui Zhao
2024	—	`conf`	GESA: A GEneral Scenario-Agnostic Reinforcement Learning for Traffic Signal Control. STRL@IJCAI Haoyuan Jiang, Ziyue Li, Zhishuai Li, Lei Bai, Hangyu Mao, Wolfgang Ketter, Rui Zhao
2024	J	`jnl`	GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents. CoRR Haoyuan Jiang, Xuantang Xiong, Ziyue Li, Hangyu Mao, Guanghu Sui, Jingqing Ruan, Yuheng Cheng, Hua Wei, Wolfgang Ketter, Rui Zhao
2024	J	`jnl`	Mimicking Human Intuition: Cognitive Belief-Driven Q-Learning. CoRR Xingrui Gu, Guanren Qiao, Chuyi Jiang, Tianqing Xia, Hangyu Mao
2024	A	`conf`	PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
2024	J	`jnl`	PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency. CoRR Zhishuai Li, Xiang Wang, Jingjing Zhao, Sun Yang, Guoqing Du, Xiaoru Hu, Bin Zhang, Yuxiao Ye, Ziyue Li, Rui Zhao, Hangyu Mao
2024	A*	`conf`	PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. IJCAI Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang
2024	B	`conf`	Parallel Missing Tag Identification for Anonymous Multiple Users RFID Systems. SECON Jiangjin Yin, Hangyu Mao, Rongbo Zhu, Shiwei Xu
2024	J	`jnl`	QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. CoRR Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao
2024	—	`conf`	SQL-to-Schema Enhances Schema Linking in Text-to-SQL. DEXA (1) Sun Yang, Qiong Su, Zhishuai Li, Ziyue Li, Hangyu Mao, Chenxi Liu, Rui Zhao
2024	J	`jnl`	SQL-to-Schema Enhances Schema Linking in Text-to-SQL. CoRR Sun Yang, Qiong Su, Zhishuai Li, Ziyue Li, Hangyu Mao, Chenxi Liu, Rui Zhao
2024	A*	`conf`	Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach. ICML Bin Zhang, Hangyu Mao, Lijuan Li, Zhiwei Xu, Dapeng Li, Rui Zhao, Guoliang Fan
2024	J	`jnl`	SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks. CoRR Yongyan Wen, Siyuan Li, Rongchang Zuo, Lei Yuan, Hangyu Mao, Peng Liu
2024	—	`conf`	TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. EMNLP (Industry Track) 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	J	`jnl`	WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Trans. Cybern. Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao
2024	A*	`conf`	X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. IJCAI Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao
2024	J	`jnl`	X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. CoRR Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao
2023	A*	`conf`	A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning. KDD Mingzhe Xing, Hangyu Mao, Shenglin Yin, Lichen Pan, Zhengchao Zhang, Zhen Xiao, Jieyi Long
2023	J	`jnl`	A closed-loop digital twin modeling method integrated with carbon footprint analysis. Comput. Ind. Eng. Bin He, Hangyu Mao, Tengyu Li, Jing-Long Xiao
2023	—	`conf`	Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. ICSE-SEIP 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	A*	`conf`	Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. ICLR Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang
2023	J	`jnl`	Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach. CoRR Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Lijuan Li, Guoliang Fan
2023	J	`jnl`	Digital Twin-Driven Product Sustainable Design for Low Carbon Footprint. J. Comput. Inf. Sci. Eng. Bin He, Hangyu Mao
2023	J	`jnl`	DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. CoRR Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao, Rui Zhao
2023	A	`conf`	Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. ECAI Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
2023	J	`jnl`	Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning. CoRR Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
2023	J	`jnl`	PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. CoRR Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
2023	J	`jnl`	Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function - with Real Applications in Traffic Domain. CoRR Guanghu Sui, Zhishuai Li, Ziyue Li, Sun Yang, Jingqing Ruan, Hangyu Mao, Rui Zhao
2023	J	`jnl`	Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems. CoRR Bin Zhang, Hangyu Mao, Lijuan Li, Zhiwei Xu, Dapeng Li, Rui Zhao, Guoliang Fan
2023	J	`jnl`	TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems. CoRR Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao
2023	J	`jnl`	TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents. CoRR Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Guoqing Du, Shiwei Shi, Hangyu Mao, Xingyu Zeng, Rui Zhao
2022	J	`jnl`	API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. CoRR Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao
2022	J	`jnl`	Common belief multi-agent reinforcement learning based on variational recurrent models. Neurocomputing Xianjie Zhang, Yu Liu, Hangyu Mao, Chao Yu
2022	—	`conf`	Deep Belief Network-based Prediction for Gear Noise. ICMRE Long Liu, Bin He, Dong Zhang, Hangyu Mao
2022	A*	`conf`	Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning. IJCAI Mingzhe Xing, Hangyu Mao, Zhen Xiao
2022	—	`conf`	Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. MICCAI (3) Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng
2022	A	`conf`	Multiagent Q-learning with Sub-Team Coordination. AAMAS Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022	A*	`conf`	Multiagent Q-learning with Sub-Team Coordination. NeurIPS Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022	A	`conf`	Optimizing communication in deep reinforcement learning with Middleware Lichen Pan, Jun Qian, Wei Xia, Hangyu Mao, Jun Yao, Pengze Li, Zhen Xiao
2022	J	`jnl`	PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning. CoRR Yiqun Chen, Hangyu Mao, Tianle Zhang, Shiguang Wu, Bin Zhang, Jianye Hao, Dong Li, Bin Wang, Hongxing Chang
2022	J	`jnl`	Transformer in Transformer as Backbone for Deep Reinforcement Learning. CoRR Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao
2022	A*	`conf`	What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
2021	A*	`conf`	An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
2021	J	`jnl`	Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR 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
2021	—	`conf`	SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition. DAI Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
2021	J	`jnl`	SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition. CoRR Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
2021	J	`jnl`	Structural relational inference actor-critic for multi-agent reinforcement learning. Neurocomputing Xianjie Zhang, Yu Liu, Xiujuan Xu, Qiong Huang, Hangyu Mao, Anil Carie
2021	J	`jnl`	Towards robust and domain agnostic reinforcement learning competitions. CoRR 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
2020	A*	`conf`	Learning Agent Communication under Limited Bandwidth by Message Pruning. AAAI Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni
2020	J	`jnl`	Learning multi-agent communication with double attentional deep reinforcement learning. Auton. Agents Multi Agent Syst. Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni
2020	A*	`conf`	Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. AAAI Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
2020	J	`jnl`	Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing. CoRR Hangyu Mao, Zhibo Gong, Zhen Xiao
2020	—	`conf`	Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020. NeurIPS (Competition and Demos) 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
2019	J	`jnl`	Learning Agent Communication under Limited Bandwidth by Message Pruning. CoRR Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni
2019	J	`jnl`	Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing. CoRR Hangyu Mao, Zhibo Gong, Zhengchao Zhang, Zhen Xiao, Yan Ni
2019	A	`conf`	Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. AAMAS Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong
2019	J	`jnl`	Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
2018	J	`jnl`	Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. CoRR Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong
2018	—	`conf`	Topic-Specific Retweet Count Ranking for Weibo. PAKDD (3) Hangyu Mao, Yang Xiao, Yuan Wang, Jiakang Wang, Zhen Xiao
2017	J	`jnl`	ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning. CoRR Hangyu Mao, Zhibo Gong, Yan Ni, Xiangyu Liu, Quanbin Wang, Weichen Ke, Chao Ma, Yiping Song, Zhen Xiao
2017	—	`conf`	Identifying Influential Users' Professions via the Microblogs They Forward. SocInf@IJCAI Yuan Wang, Hangyu Mao, Zhen Xiao
2016	B	`conf`	Predicting Restaurant Consumption Level through Social Media Footprints. COLING Yang Xiao, Yuan Wang, Hangyu Mao, Zhen Xiao