Now I study at the School of Data Science, Chinese University of Hong Kong, Shenzhen (CUHK-SZ), as a Ph.D. student under the supervision of Prof Guiliang Liu.
Working Experience and Education: I received my Bachelor’s degree at the School of Computer Science and Technology, Beijing University of Posts and Telecommunications (BUPT). I also finished a research internship at Wangxuan Institute of Computer Technology, Peking University, advised by Prof Xiaoqing Lyu (2022).
Research Interests: Reinforcement Learning and the related topics, including:
● Inverse Constrained Reinforcement Learning
● Multi-agent Reinforcement Learning
● Safe Reinforcement Learning
● Applications of AI agent, Graph Neural Network, and Autonomous Driving
Welcome to communicate and follow!
🔥 News
● 2024.07: one paper accepted by ECCV 2024.
● 2023.09: one paper accepted by NeurIPS 2023.
● 2023.08: I am a Ph.D. student at the Chinese University of Hong Kong, Shenzhen.
📝 Publication
2024
- Guanren Qiao, Guorui Quan, Rongxiao Qu, Guiliang Liu
- Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model (ECCV 2024)
- [paper (coming soon)] [code (coming soon)]
2023
2022
- Ruiqi Jia, Wentao Xie, Baole Wei, Guanren Qiao, Zonglin Yang, Xiaoqing Lyu, Zhi Tang
- Molecular Formula Image Segmentation with Shape Constraint Loss and Data Augmentation (BIBM 2022)
- [paper]
🏅 Honor
- 2022.12 Graduate Entrance Scholarship
- 2022.10 Gold Prize, China Internet Plus Innovation and Entrepreneurship National Competition
- 2020-2022 School-level Merit Student
- 2020-2022 School-level Scholarship
📖 Teaching
- 2023.09-2023.12, DDA4210 Advanced machine learning
- 2024.02-2024.05, CSC1004 Java Program Project
💻 Intern
- 2023.02 - 2023.05, The Chinese University of Hong Kong, Shenzhen (Research Assistant)
- 2022.11 - 2023.02, Heisenzhidong, Beijing (Algorithm Intern)
- 2022.03 - 2022.11, Wangxuan Institute of Computer Technology, Peking University, Beijing (Research Assistant)