Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach. - Chi Harold Liu; Yinuo Zhao; Zipeng Dai; Ye Yuan 001; Guoren Wang; Dapeng Wu 001; Kin K. Leung (ICDE, 2020)

Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach. - Chi Harold Liu; Zipeng Dai; Haoming Yang; Jian Tang 008 (INFOCOM, 2020)

Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach. - Zipeng Dai; Hao Wang 193; Chi Harold Liu; Rui Han 001; Jian Tang 008; Guoren Wang (INFOCOM, 2021)

Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning. - Hao Wang 193; Chi Harold Liu; Zipeng Dai; Jian Tang 008; Guoren Wang (KDD, 2021)

Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning. - Chi Harold Liu; Zipeng Dai; Yinuo Zhao; Jon Crowcroft; Dapeng Wu 001; Kin K. Leung (IEEE Trans. Mob. Comput., 2021)

Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. - Zipeng Dai; Tianze Zhou; Kun Shao; David Henry Mguni; Bin Wang 034; Jianye Hao (CoRL, 2022)

AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning. - Zipeng Dai; Chi Harold Liu; Yuxiao Ye; Rui Han 001; Ye Yuan 001; Guoren Wang; Jian Tang 008 (INFOCOM, 2022)

Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. - Taher Jafferjee; Juliusz Krysztof Ziomek; Tianpei Yang; Zipeng Dai; Jianhong Wang; Matthew E. Taylor; Kun Shao; Jun Wang 012; David Mguni (CoRR, 2022)

Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM. - Chi Harold Liu; Yu Wang 115; Chengzhe Piao; Zipeng Dai; Ye Yuan 001; Guoren Wang; Dapeng Wu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Learning to Shape Rewards Using a Game of Two Partners. - David Mguni; Taher Jafferjee; Jianhong Wang; Nicolas Perez Nieves; Wenbin Song; Feifei Tong; Matthew E. Taylor; Tianpei Yang; Zipeng Dai; Hui Chen; Jiangcheng Zhu; Kun Shao; et al. (AAAI, 2023)

Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract). - Chi Harold Liu; Yu Wang 115; Chengzhe Piao; Zipeng Dai; Ye Yuan 001; Guoren Wang; Dapeng Wu 001 (ICDE, 2023)

Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning. - Yuxiao Ye; Chi Harold Liu; Zipeng Dai; Jianxin Zhao 001; Ye Yuan 001; Guoren Wang; Jian Tang 008 (ICDE, 2023)

Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. - David Henry Mguni; Aivar Sootla; Juliusz Ziomek; Oliver Slumbers; Zipeng Dai; Kun Shao; Jun Wang 012 (ICLR, 2023)

Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning. - Zipeng Dai; Chi Harold Liu; Rui Han 001; Guoren Wang; Kin K. Leung; Jian Tang 008 (IEEE Trans. Mob. Comput., 2023)

CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems. - Zhen Chen; Yong Liao; Youpeng Zhao; Zipeng Dai; Jian Zhao 018 (CoRR, 2024)

QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning. - Yuxiao Ye; Hao Wang 193; Chi Harold Liu; Zipeng Dai; Guozheng Li 002; Guoren Wang; Jian Tang 008 (IEEE J. Sel. Areas Commun., 2024)

HiBid: A Cross-Channel Constrained Bidding System With Budget Allocation by Hierarchical Offline Deep Reinforcement Learning. - Hao Wang 193; Bo Tang; Chi Harold Liu; Shangqin Mao; Jiahong Zhou; Zipeng Dai; Yaqi Sun; Qianlong Xie; Xingxing Wang; Dong Wang 022 (IEEE Trans. Computers, 2024)

Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. - Tianze Zhou; Fubiao Zhang; Kun Shao; Zipeng Dai; Kai Li 022; Wenhan Huang; Weixun Wang; Bin Wang 034; Dong Li 016; Wulong Liu; Jianye Hao (IEEE Trans. Games, 2024)

Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction. - Taher Jafferjee; Juliusz Ziomek; Tianpei Yang; Zipeng Dai; Jianhong Wang; Matthew E. Taylor; Kun Shao; Jun Wang 012; David Mguni (AAMAS, 2025)

Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation. - Chenxu Wang; Yonggang Jin; Cheng Hu; Youpeng Zhao; Zipeng Dai; Jian Zhao 018; Shiyu Huang 001; Liuyu Xiang; Junge Zhang; Zhaofeng He (CoRR, 2025)

CuDA2: An Approach for Incorporating Traitor Agents Into Cooperative Multiagent Systems. - Zhen Chen; Yong Liao; Youpeng Zhao; Zipeng Dai; Jian Zhao 018 (IEEE Trans. Games, 2025)

UavNetSim-v1: A Python-based Simulation Platform for UAV Communication Networks. - Zihao Zhou; Zipeng Dai; Linyi Huang; Cui Yang; Youjun Xiang; Jie Tang 002; Kai-Kit Wong (CoRR, 2025)