Credit to GPT-4o

Xuanqi Zhang (张烜旗)

I am an incoming PhD student at University of British Columbia supervised by Prof. Xiaoxiao Li . I worked as a Research Assistant in Lab of Image, Intelligence and Innovation led by Prof. Wonsook Lee. My research primarily focuses on machine learning and deep learning algorithms & systems.

I am graduating from University of Ottawa as a M.CS. student. Previously, I worked as a Research Assistant with Prof. Y. Chen . I received my B.E. in Computer Science from the Harbin Institute of Technology, Shenzhen in 2023.

I love playing badminton 🏸 and Go ⚪⚫ in my free time. I am also open to collaborating with people to explore the possibilities of machine learning and artificial intelligence in various fields. The best way to reach me is via email: xuanqizhang.cn@gmail.com

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News

  • 04/2025: 1st place at CVPR 2025 PBVS Challenge on Thermal Image Super-Resolution.
  • 02/2025: I receive Four Year Doctoral Fellowship (4YF) at UBC.
  • 01/2025: I start work as a TA in course "Computer Graphics CSI4130".
  • 08/2024: A paper is accepted to TETCI.
  • 01/2024: I start work as a TA in course "DatabaseI CSI2132".
  • 09/2023: I start work as a TA in course "DatabaseII CSI3130".
  • 03/2023: A paper is accepted to TKDD.

Honors and Awards

  • 1st place at CVPR 2025 PBVS challenge, 2025
  • Four Year Doctoral Fellowship (4YF) at University of British Columbia, 2025-2029
  • Special Merit Scholarship at University of Ottawa, 2023-2024
  • Best Bachelor's Thesis (top 1/322) at HIT Shenzhen, 2023
  • Undergraduate Academic Scholarship at HIT Shenzhen, 2021
  • Exellent Freshman Scholarship at HIT Shenzhen, 2019

Academic Services

    Journal Reviewer:

    IEEE TCSVT; IEEE Signal Processing Letters; Neurocomputing; Pattern Recognition

    Conference Reviewer:

    ICME 2025

Publications

2025

Advancing 3D Gaussian Splatting Editing with Complementary and Consensus Information
Xuanqi Zhang, Jieun Lee, Chris Joslin, Wonsook Lee
Arxiv.

3D Gaussian Splatting and Camera Poses Joint Optimization for Motion Blur Images via Low-pass Filter
Xuanqi Zhang, Wonsook Lee, Chris Joslin
Canadian AI 2025.

2024

LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network
Xuanqi Zhang, Haijin Zeng, Jinwang Pan, Qiangqiang Shen, Yongyong Chen
Arxiv.

Dual Completion Learning for Incomplete Multi-view Clustering
Qiangqiang Shen*, Xuanqi Zhang*, Shuqin Wang, Yuanman Li, Yongsheng Liang, Yongyong Chen
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI).

2023

Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: from Matrix to Tensor
Xuanqi Zhang, Qiangqiang Shen, Yongyong Chen, Guokai Zhang, Zhongyun Hua, Jingyong Su
ACM Transactions on Knowledge Discovery from Data (TKDD).

* co-first author

 

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