张策

张策

Ce Zhang
cezhang@cs.cmu.edu

Carnegie Mellon University

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.

Visit the personal homepage for more information: https://zhangce01.github.io/

Research Interests

  • Computer Vision
  • Machine Learning

Personal Honors

  • 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

Paper

  • HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
    Ce Zhang, Simon Stepputtis, Joseph Campbell, Katia Sycara, Yaqi Xie
    NeurIPS 2023 New Frontiers in Graph Learning Workshop.
    Submitted to CVPR 2024
  • 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.
  • 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.
  • 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.
  • 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.
  • Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation
    Xueting Hu, Ce Zhang, Yi Zhang, Bowen Hai, Ke Yu, Zhihai He
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
  • Unsupervised Prototype Adapter for Vision-Languange Models
    Yi Zhang, Ce Zhang, Xueting Hu, Zhihai He
    Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023.

Graduation Destination

  • M.Sc. in Machine Learning program, Carnegie Mellon University
Education
  • M.Sc. in Machine Leaning, 2023-Present

    Carnegie Mellon University

  • B.Eng. in Communication Engineering, 2019-2023

    Southern University of Science and Technology