I am a year-4 PhD student from the Department of Computer Science and Technology, Beijing Institute of Technology (BIT, 北京理工大学计算机学院), under the supervision of Prof. Chi Harold Liu. I received my Bachelor’s degree in Software Engineering from BIT (2015-2019)
My research interest includes mobile crowdsensing and unmanned vehicles, with the consideration of 5G communication modeling and reinforcement learning techniques. I have published more than 10 papers 
Contact: I’m always glad to discuss or collaborate! If interested, feel free to email me at daizipeng@bit.edu.cn.
🔥 News
- 2022.09: Our paper “Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System” is accepted by CoRL 2022
- 2022.09: 🎉🎉 My google scholar citations have exceeded 100!
- 2022.08: Our paper “Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning” is accepted by ICDE 2023
📝 Publications
🙋♂️ Mobile Crowdsensing
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 |
- 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, ICDE 2023 (Oral) ,
- 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 Transactions on Mobile Computing (TMC), 2022,
- Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning, Hao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang, Guoren Wang, KDD 2021 (best paper award runner up) ,
- Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach, Zipeng Dai, Hao Wang, Chi Harold Liu, Rui Han, Jian Tang, Guoren Wang, INFOCOM 2021 (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, ICDE 2020 (Oral) ,
- Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach, Chi Harold Liu, Zipeng Dai, Haoming Yang, Jian Tang, INFOCOM 2020 (Oral) ,
- 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 Transactions on Mobile Computing (TMC), 2019,
🚖 Unmanned Vehicles
- Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System, Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao, CoRL 2022 (Poster)
🎟 Others
- 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, IEEE Transactions on Games (ToG), 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, ICLR 2023 (Poster)
- 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, AAAI 2023 (Poster)
- 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 Transactions on Knowledge and Data Engineering (TKDE), 2020,
🎖 Honors and Awards
- 2022.10 National Scholarship (Top 1%)
- 2022.05 Student Conference Grant of INFOCOM 2022 (50 worldwide each year)
- 2021.08 Best Paper Award, Applied Data Science Runner Up of KDD 2021 (1/238)
- 2020.10 National Scholarship (Top 1%)
- 2019.09 Outstanding Thesis Award (Undergraduate) in Beijing (only 3 person/college)
- 2017.08 The 3rd place of the Supermarket Robot track (@Home) in RoboCup China 2017
- 2016.12 Future Star of Software Engineering, Beijing Institute of Technology (10/176)
📖 Educations
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2019.06 - Now, PhD, Beijing Institute of Techonolgy, Beijing.
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2015.09 - 2019.06, Undergraduate, Beijing Institute of Techonolgy, Beijing.
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2012.09 - 2015.06, Yaohua High School, Tianjin.
💬 Invited Talks
- 2023.01.17, 基于社会价值取向的无人车交互决策方法, RLChina论文研讨会（第37期）, Online.
- 2022.12.17, Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System, DAI 2022, Tianjin.
- 2022.07.26, Zero-Shot Coordination: A Survey about Human-AI Collaboration, Huawei Noah’s Ark Lab internal discussion, Beijing.
💻 Internships
- 2023.04 - Now, Qiyuan Lab, Beijing. (Mentor: Chao Wang)
- 2021.10 - 2023.03, Huawei Noah’s Ark Lab, Beijing. (Mentor: Kun Shao)
👔 Services
- Conference Reviewer: IEEE INFOCOM’ 21-23, IJCAI’ 21-23, AAMAS’ 23, MRS’ 23
- Journal Reviewer: IEEE Network Magazine, IEEE Transactions on Mobile Computing (TMC), IEEE Transactions on Wireless Communications (TWC), IEEE Transactions on Vehicular Technology (TVT), IEEE Internet of Things Journal (IOT), IEEE Transactions on Network Science and Engineering (TNSE), Chinese Journal of Electronics (电子学报), The Journal of Supercomputing
Design and source code inspired from Yi Ren’s awesome template.