📝 Publications

🙋‍♂️ Mobile Crowdsensing

INFOCOM 2022

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

Project |

• IEEE JSAC QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning, Yuxiao Ye, Hao Wang, Chi Harold Liu, Zipeng Dai, Guozheng Li, Guoren Wang, Jian Tang
• ICDE 2023 (Oral) 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, Ye Yuan, Guoren Wang, Jian Tang
• IEEE TMC Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning, Zipeng Dai, Chi Harold Liu, Rui Han, Guoren Wang, Kin K. Leung, Jian Tang
• KDD 2021 (best paper award runner up) Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning, Hao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang, Guoren Wang (Applied Data Science Track)
• INFOCOM 2021 (Oral) Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach, Zipeng Dai, Hao Wang, Chi Harold Liu, Rui Han, Jian Tang, Guoren Wang
• ICDE 2020 (Oral) Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach, Chi Harold Liu, Yinuo Zhao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu, Kin K. Leung
• INFOCOM 2020 (Oral) Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach, Chi Harold Liu, Zipeng Dai, Haoming Yang, Jian Tang
• IEEE TMC Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning, Chi Harold Liu, Zipeng Dai, Yinuo Zhao, Jon Crowcroft, Dapeng Wu, Kin K. Leung

🚖 Unmanned Vehicles

• ICCC 2025 UavNetSim-v1: A Python-based Simulation Platform for UAV Communication Networks, Zihao Zhou, Zipeng Dai, Linyi Huang, Cui Yang, Youjun Xiang, Jie Tang, Kai-kit Wong
• CoRL 2022 Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System, Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao

🎟 Others

• Neurocomputing 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, Liuyu Xiang, Junge Zhang, Zhaofeng He
• AAMAS 2025 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, David Mguni
• IEEE Transactions on Games CuDA2: An Approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems, Zhen Chen, Yong Liao, Youpeng Zhao, Zipeng Dai, Jian Zhao
• IEEE Transactions on Computers HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning, Hao Wang, Bo Tang, Chi Harold Liu, Shangqin Mao, Jiahong Zhou, Zipeng Dai, Yaqi Sun, Qianlong Xie, Xingxing Wang, Dong Wang
• IEEE Transactions on Games Cooperative Multi-Agent Transfer Learning with Coalition Pattern Decomposition, Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
• ICLR 2023 Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints, David Mguni, Aivar Sootla, Juliusz Krzysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang
• AAAI 2023 Learning to Shape Rewards using a Game of Two Partners, David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez-Nieves, Wenbin Song, Feifei Tong, Matthew Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang
• IEEE TKDE Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM, Chi Harold Liu, Yu Wang, Chengzhe Piao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Oliver Wu