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

NeurIPS 2023

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Best Paper Award, ICML 2023 TEACH Workshop

Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang

NeurIPS 2023 | Paper | Code

CVPR 2023

Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction

Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

CVPR 2023 | Paper | Code

CVPR 2023

Learning Transformation-Predictive Representations for Detection and Description of Local Features

Zihao Wang, Chunxu Wu, Yifei Yang, Zhen Li

CVPR 2023

TNNLS

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)

IJCAI 2021

Local Representation is NOT Enough: Soft Point-wise Transformer for descriptor and Detector of Local Features

Zihao Wang, Xueyi Li, Zhen Li

IJCAI 2021

💬 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.