Jiaqi Tang 唐家祺

Hangzhou, China

Dolomites.jpg
Captured at Dolomites, Italy

I am an incoming Ph.D. student in the Department of Computer Science and Engineering at Hong Kong University of Science and Technology and will transfer to Clear Water Bay in Fall 2025.

Currently, I am pursuing my M.Phil. in Artificial Intelligence at Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Ying-Cong Chen and Prof. Qifeng Chen. Before that, I obtained B.Eng. in Data Science and Big Data Tech., from the School of Computer Science, Northwestern Polytechnical University, supervised by Prof. Wei Wei and Minor in Business Administration from the School of Management in 2022.

I maintain strong industry collaborations, working closely with Dr. Xiaogang Xu from Huawei 2012 Lab, Mr. Qingguo Chen and Mr. Yifeng Wu at Alibaba Group, Dr. Jiangbo Lu (CTO), Dr. Sixing Hu (Director of Digital Media & Imaging) and Dr. Ruizheng Wu at SmartMore Corporation.

My research focuses on Multi-modal Large Language Model. If you are interested in collaborating with me, please feel free to contact.

news

Feb 27, 2025 One paper is accepted by CVPR2025.
Nov 07, 2024 Congratulations! Our paper, “AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments” is selected as Best Paper Honorable Mention in ACM SenSys 2024.
Sep 25, 2024 One paper is accepted by NeurIPS2024.
Sep 16, 2024 One paper is accepted by SenSys2024.
Jul 01, 2024 One paper is accepted by ECCV2024.

selected publications

  1. CVPR
    SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Sparsity Activation
    Ke Ma , Jiaqi Tang, Fan Dang , Bin Guo† , Sicong Liu , Cheng Fang , Zhui Zhu , Lei Wu , Ying-Cong Chen , Zhiwen Yu , and Yunhao Liu†
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2025
  2. ACM SenSys
    AdaShadow: Responsive Test-time Adaptation for Non-stationary Mobile Environments
    Cheng Fang , Sicong Liu , Zimu Zhou , Bin Guo† , Jiaqi Tang, Ke Ma , and Zhiwen Yu
    In ACM Conference on Embedded Networked Sensor Systems (SenSys) , 2024
    Best Paper Honorable Mention (7/313)
  3. NeurIPS
    Hawk: Learning to Understand Open-World Video Anomalies
    Jiaqi Tang*, Hao Lu* , Ruizheng Wu , Xiaogang Xu , Ke Ma , Cheng Fang , Bin Guo , Jiangbo Lu , Qifeng Chen , and Ying-Cong Chen†
    In Annual Conference on Neural Information Processing Systems (NeurIPS) , 2024
    *: Equal Contribution
  4. CVPR
    Learning to Remove Wrinkled Transparent Film with Polarized Prior
    Jiaqi Tang, Ruizheng Wu , Xiaogang Xu , Sixing Hu , and Ying-Cong Chen†
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2024
  5. ECCV
    An Incremental Unified Framework for Small Defect Inspection
    Jiaqi Tang, Hao Lu , Xiaogang Xu , Ruizheng Wu , Sixing Hu , Tong Zhang , Tsz Wa Cheng , Ming Ge , Ying-Cong Chen† , and Fugee Tsung
    In 18th European Conference on Computer Vision (ECCV) , 2024
  6. ECAI
    High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation
    Jiaqi Tang, Xiaogang Xu , Sixing Hu , and Ying-Cong Chen†
    In 26th European Conference on Artificial Intelligence (ECAI) , 2023
    Long Oral