I am a Ph.D. student in School of Intelligence Science and Technology at Peking University (PKU), advised by Prof. Yitao Liang. Before joining PKU, I received my MSc and BA degrees in Control Science and Technology from Beijing Institute of Technology. I work on building open-ended embodied agents with multi-task skills, including visual localization, task planning and decision making.
In particular, I am interested in leveraging large pre-trained Foundation Models to improve generalization of agent capabilities.

🔥 News

  • Jul 2023:  🎉🎉 DEPS received Best Paper Award at ICML 2023 TEACH Workshop!
  • Feb 2023:  🎉🎉 Two papers are accepted by CVPR 2023.

📝 Publications


Graph-Based Contrastive Learning for Description and Detection of Local Features

Zihao Wang, Zhen Li, Xueyi Li, Wenjie Chen, Xiangdong Liu

IEEE Trans. Neural Netw. Learn. Syst. (TNNLS 2022)

💬 Invited Talks

  • 2023.03, Invited talk at City University of Hong Kong and The Hong Kong Polytechnic University on “open-ended embodied agents with multi-task skills”
  • 2022.08, Invited talk at Beijing Institute of General Artificial Intelligence on “learning detection and description of local features”.

🔭 Academic Service

  • Reviewer for ICML, NeurIPS.
  • Teaching Assistant for “Introduction to AI” Fall 2023, Peking University.

💻 Internships

  • 2021.05 - 2021.08, Alibaba Inc, Beijing.

📖 Educations

  • 2022.09 - now, PhD student of Computer Science, Peking University
  • 2019.09 - 2022.06, Master of Control Science and Technology, Beijing Institute of Technology
  • 2015.09 - 2019.06, Bachelor of Automation, Beijing Institute of Technology

🎖 Honors and Awards

  • 2021.10 Chinese National Scholarship
  • 2019.06 Outstanding Graduate of Beijing
  • 2018.11 Autonomy Prize of Indoor Event on 10th International Micro Air Vehicle Competition and Conference, Melbourne.
  • 2018.08 First Prize on China National Robot Competition 2018.
  • 2018.04 Meritorious Winner on American Mathematical Contest In Modeling (MCM) 2018.