About Me

I’m Shaofei Cai (蔡少斐 in Chinese, caishaofei@stu.pku.edu.cn). Now I am a PhD student in the School of Intelligence Science and Technology, Peking University, under the directing of Yitao Liang since 2022. I received my bachelor degree from Xi’an Jiaotong University in 2019. Besides, I received my master degree from Institue of Computing Technology, Chinese Academy of Science in 2022, under the directing of Liang Li since 2019. My research interest are computer vision and decision making. I’m also interested in graph neural architecture search.

🔥 News

• 2023.03:  🎉🎉 Our paper ‘‘Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction’’ is accepted by the IEEE Computer Vision and Patter Recognition (CVPR) 2023.
• 2022.08:  🎉🎉 Our paper ‘‘DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing’’ is accepted by the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023.
• 2022.03:  🎉🎉 Our paper ‘‘Automatic Relation-aware Graph Network Proliferation’’ is accepted by the IEEE Computer Vision and Patter Recognition (CVPR) 2022 and is selected for an oral presentation.
• 2021.03:  🎉🎉 Our paper ‘‘Rethinking Graph Neural Architecture Search from Message-Passing’’ is accepted by the IEEE Computer Vision and Patter Recognition (CVPR) 2021.

📝 Publications

Arxiv

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

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

School of Intelligence Science and Technology, Peking University

Arxiv | | Open World | Minecraft

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

School of Intelligence Science and Technology, Peking University

CVPR 2023 | | | Open World | Minecraft

CVPR 2022

Automatic Relation-aware Graph Network Proliferation

Shaofei Cai, Liang Li, Xinzhe Han, Jiebo Luo, Zheng-jun Zha, Qingming Huang

Institue of Computing Technology, Chinese Academy of Science

CVPR 2022 (Oral) | | | | | GNAS

CVPR 2021

Rethinking Graph Neural Architecture Search from Message-Passing

Shaofei Cai, Liang Li, Jincan Deng, Beichen Zhang, Zheng-Jun Zha, Li Su, Qingming Huang

Institue of Computing Technology, Chinese Academy of Science

CVPR 2021 | | | GNAS

WACV 2023

DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing

Bingchuan Li*, Shaofei Cai*, Wei Liu, Peng Zhang, Miao Hua, Qian He, Zili Yi

Beijing Bytedance Technology Co. LTD

WACV 2023 | | | GAN

ACM MM 2020

IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning

Zhenhuan Liu, Jincan Deng, Liang Li, Shaofei Cai, Qianqian Xu, Shuhui Wang, Qingming Huang

Institue of Computing Technology, Chinese Academy of Science

ACM MM 2020 (Oral) | | GAN

Under Review

Semantic and Correlation Disentangled Graph Propagation for Multi-label Image Recognition

Shaofei Cai, Liang Li, Xinzhe Han, Qi Tian, Qingming Huang

Institue of Computing Technology, Chinese Academy of Science

TNNLS (Under Review) |

Arxiv

Edge-featured Graph Neural Architecture Search

Shaofei Cai, Liang Li, Xinzhe Han, Zheng-jun Zha, Qingming Huang

Institue of Computing Technology, Chinese Academy of Science

Arxiv | | GNAS

🎖 Honors and Awards

📖 Educations

2022.09 - now, PhD student

School of Artifical Intelligence

Peking University, Beijing

2019.09 - 2022.06, Master

Institute of Computing Technology, Chinese Academy of Sciences

University of Chinese Academy of Sciences, Beijing

2015.09 - 2019.06, Undergraduate

Software College

Xi’an Jiaotong University, Xi’an

💻 Internships