Now I study at the School of Data Science, Chinese University of Hong Kong, Shenzhen (CUHK-SZ), as a CS Ph.D. student under the supervision of Prof Guiliang Liu.

Working Experience and Education: I have 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 (PKU), advised by Prof Xiaoqing Lyu (2022).

Research Interests: Reinforcement Learning and the related topics, including:
● Reinforcement Learning
● Embodied AI (Human-Robot Collaboration)
● Multi-Agent Decision on Autonomous Driving
● AI4Science LLM Agent/Workflow

Welcome to communicate and cite!

🔥 News

● 2025.06: 🎉 A paper about cognitive science and reinforcement learning accepted by ICML Workshop 2025.
● 2024.10: 🎉 A poster about safety-critical traffic simulation shown in CCF RL-China 2024.
● 2024.07: 🎉 A paper about multi-vehicle interaction with game theory accepted by ECCV 2024.
● 2023.09: 🎉 A paper about inverse constrained reinforcement learning accepted by NeurIPS 2023.

📝 Publication

2025

Preprint

• Guanren Qiao, Sixu Lin, Ronglai Zuo, Zhizheng Wu, Kui Jia, Guiliang Liu
• SignBot: Learning Human-to-Humanoid Sign Language Interaction (Preprint)
• [paper] [[code (Coming Soon)]] [demo]

Preprint

• Sixu Lin, Guanren Qiao, Yunxin Tai, Ang Li, Kui Jia, Guiliang Liu
• HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion (Preprint)
• [paper] [[code (Coming Soon)]] [demo]

ICML Workshop 2025

• Xingrui Gu, Guanren Qiao, Chuyi Jiang
• Mimicking Human Intuition: Cognitive Belief-Driven Reinforcement Learning (ICML Workshop 2025)
• [paper] [[code (Coming Soon)]]

2024

Preprint

• Guanren Qiao, Guorui Quan, Jiawei Yu, Shujun Jia, Guiliang Liu
• TrafficGamer: Reliable and Flexible Traffic Simulation for Safety-Critical Scenarios with Game-Theoretic Oracles (Preprint)
• [paper] [code] [demo]

ECCV 2024

• Guanren Qiao, Guorui Quan, Rongxiao Qu, Guiliang Liu
• Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model (ECCV 2024)
• [paper] [code]

2023

NeurIPS 2023

• Guanren Qiao, Guiliang Liu, Pascal Poupart, Zhiqiang Xu
• Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations (NeurIPS 2023)
• [paper] [code]

2022

BIBM 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

• 2024.11 🏅 Duan Yong Ping Meritorious Research Award
• 2022.12 🏅 Graduate Entrance Scholarship
• 2022.10 🏆 Gold Prize, China Internet Plus Innovation and Entrepreneurship National Competition
• 2020-2022 🏅 Beijing University of Posts and Telecommunications Merit Student
• 2020-2022 🏅 Beijing University of Posts and Telecommunications Scholarship

💻 Intern

• 2023.02 - 2023.05, The Chinese University of Hong Kong, Shenzhen (Research Assistant)
• 2022.03 - 2022.11, Wangxuan Institute of Computer Technology, Peking University, Beijing (Research Assistant)

🖋️ Service

• Conference Reviewer:
  • AAAI, ICLR, ICCV, NeurIPS
• Journal Reviewer:
  • IEEE Transaction on Artificial Intelligence (TAI)