Ce Zhang | Carnegie Mellon University

About Me

Hi there! I’m Ce Zhang and I’m currently pursuing my Master’s degree in Machine Learning at CMU and looking forward to graduating in December 2024. Before this, I earned my B.Eng. in Communication Engineering from Southern University of Science and Technology (SUSTech). My current research interest lie in vision-language models and scene understanding.

Research Interests

Computer Vision: vision-language models, scene understanding
Machine Learning: multi-modal machine learning, transfer learning

News

[Feb. 2024] Our paper “HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation” is accepted to CVPR 2024.
[Sep. 2023] Our paper “Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation” is accepted to WACV 2024.
[Sep. 2023] Our paper “Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems” is accepted to IEEE Transactions on Artificial Intelligence.
[Aug. 2023] Our paper “BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning” is accepted to BMVC 2023.
[Jun. 2023] I am awarded the Top 10 Summa Cum Laude Graduates by Southern University of Science and Technology.

Publications

Preprint

Few-Shot Adaptation of Vision-Language Foundation Models via Dual-Path Inference

Ce Zhang, Simon Stepputtis, Katia Sycara, Yaqi Xie

ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models.

Preprint, under review.

CVPR 2024

HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

Ce Zhang, Simon Stepputtis, Joseph Campbell, Katia Sycara, Yaqi Xie

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Also at NeurIPS 2023 New Frontiers in Graph Learning Workshop.

Seattle, WA, US, June 17-21, 2024

PDF Website Code

IEEE TAI

Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems

Ce Zhang, Kailiang Wu, Zhihai He

IEEE Transactions on Artificial Intelligence, 2023;

Also at First Workshop on Out-of-Distribution Generalization in Robotics at CoRL 2023.

Atlanta, GA, US, November 6-9, 2023

PDF

BMVC 2023

BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning

Yi Zhang*, Ce Zhang*, Zihan Liao, Yushun Tang, Zhihai He (*Equal contribution)

British Machine Vision Conference (BMVC), 2023.

Aberdeen, UK, November 20-24, 2023

PDF Supplementary Website Video

CVPR 2023

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation

Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Vancouver, Canada, June 18-22, 2023

PDF Supplementary Video

CVPR 2023

Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation

Zhehan Kan, Shuoshuo Chen, Ce Zhang, Yushun Tang, Zhihai He

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Vancouver, Canada, June 18-22, 2023

PDF Supplementary Video

Honors and Awards

Top 10 Summa Cum Laude Graduates, Southern University of Science and Technology, June 2023
National Scholarship, Ministry of Education of the People’s Republic of China, Novermber 2022

Services

Journal Reviewer: IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT)
Conference Reviewer: IEEE International Conference on Multimedia and Expo (ICME 2024)