Zipeng Dai

According to our database, Zipeng Dai authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Cooperative Multiagent 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

IEEE Trans. Games, June, 2024

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 Trans. Computers, March, 2024

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

IEEE J. Sel. Areas Commun., March, 2024

CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems.

Zhen Chen, Yong Liao, Youpeng Zhao, Zipeng Dai, Jian Zhao

CoRR, 2024

2023

Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning.

Zipeng Dai, Chi Harold Liu, Rui Han, Guoren Wang, Kin K. Leung, Jian Tang

IEEE Trans. Mob. Comput., April, 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

Proceedings of the Eleventh International Conference on Learning Representations, 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, Ye Yuan, Guoren Wang, Jian Tang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract).

Chi Harold Liu, Yu Wang, Chengzhe Piao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu

Proceedings of the 39th IEEE International Conference on Data Engineering, 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 E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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 Wu

IEEE Trans. Knowl. Data Eng., 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, David Mguni

CoRR, 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

Proceedings of the IEEE INFOCOM 2022, 2022

Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System.

Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao

Proceedings of the Conference on Robot Learning, 2022

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, Kin K. Leung

IEEE Trans. Mob. Comput., 2021

Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning.

Hao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang, Guoren Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach.

Zipeng Dai, Hao Wang, Chi Harold Liu, Rui Han, Jian Tang, Guoren Wang

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach.

Chi Harold Liu, Zipeng Dai, Haoming Yang, Jian Tang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

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

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020