Zedong Wang (王澤棟; 王泽栋; Jacky) Westlake University, The Hong Kong University of Science and Technology (HKUST) Stan Z. Li's AI Lab@WestlakeU, Dan Xu's Vision Group@HKUST Location: E2 Building, Westlake University, Dunyu Road #600, Xihu District, Hangzhou, Zhejiang, China. News | Interests | Education | Internship | Publications | Services | Honors | Acknowledgement | Memories Email: jackywang28@outlook.com (prior); wangzedong@westlake.edu.cn [Google Scholar] [Semantic Scholar] [OpenReview] [Twitter (X)] [🤗HF] [GitHub] [ORCID] [DBLP] “The true value of a man is not determined by his possession, supposed or real, of Truth, but rather by his sincere exertion to get to the Truth. It is not possession of the Truth, but rather the pursuit of Truth by which he extends his powers and in which his ever-growing perfectibility is to be found.”

• Label-Efficient Learning: Mixup Augmentation [OpenMixup, SAMix], Semi-supervised Learning [SemiReward].
• Neural Network Architectures: Vision Backbones [MogaNet], Efficient Multi-Task Architectures.
• Optimization & Regularization: Deep Learning Optimizers [SEMA, BOCB], Multi-Task Optimization.
• Downstream Applications: AI4Science [VQDNA], Autonomous Driving.

     Huazhong University of Science and Technology (2019-2023)
     • B.Eng. in Electronic and Information Engineering.
     • Thesis: Efficient ConvNet-based Vision Backbone (92/100, with full score on NOVELTY term).
     • Advisor: Prof. Xinggang Wang.

       ZEEKR Intelligent Technology, Geely (2024.04-present)
       • Topics: Multi-Task Learning in Autonomous Driving.
       • Advisor: Prof. Dan Xu (University-Enterprise Cooperation).

        Dan Xu's Vision Group, CSE, HKUST (2024.03-present)
        • Topics: Efficient Multi-Task Learning.
        • Advisor: Prof. Dan Xu.

       Stan Z. Li's AI Lab, Westlake University (2022.06-present)
       • Topics: Representation Learning and AI for Life Science (Genomics).
       • Advisor: Chair Prof. Stan Z. Li (IEEE Fellow, IAPR Fellow).

     Xinggang Wang's Vision Group, HUST (2021.09-2022.06)
     • Topics: Computer Vision and Few-shot Semantic Segmentation.
     • Advisor: Prof. Xinggang Wang.

       SIAT-MMLab, Chinese Academy of Sciences (2021.06-2021.09)
       • Topics: Semantic Segmentation and Text Spotting.
       • Advisor: Dr. Bin Fu.

Selected Preprints (*: Equal Contribution. †: Corresponding Author.):

[NEW!] Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning Siyuan Li*, Juanxi Tian*, Zedong Wang*, Luyuan Zhang, Zicheng Liu, Weiyang Jin, Yang Liu, Baigui Sun, Stan Z. Li† arXiv, 2024 [arXiv] [🤗HF] [Project] [Code] [BibTeX]

Switch EMA: A Free Lunch for Better Flatness and Sharpness Siyuan Li*, Zicheng Liu*, Juanxi Tian*, Ge Wang*, Zedong Wang, Weiyang Jin, Di Wu, Cheng Tan, Tao Lin, Yang Liu, Baigui Sun, Stan Z. Li† arXiv, 2024 [arXiv] [🤗HF] [Code] [BibTeX]

Masked Modeling for Self-supervised Representation Learning on Vision and Beyond Siyuan Li*, Luyuan Zhang*, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li† arXiv, 2023 [arXiv] [Code] [BibTeX]

OpenMixup: A Comprehensive Mixup Benchmark for Visual Classification Siyuan Li*, Zedong Wang*, Zicheng Liu, Di Wu, Cheng Tan, Weiyang Jin, Stan Z. Li† arXiv, 2022 [arXiv] [Code] [BibTeX]

Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup Siyuan Li*, Zicheng Liu*, Zedong Wang*, Di Wu, Zihan Liu, Stan Z. Li† arXiv, 2022 [arXiv] [Code] [BibTeX]

Conferences (As First Author):

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling Siyuan Li*, Zedong Wang*, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li† International Conference on Machine Learning (ICML), 2024 [arXiv] [Code] [BibTeX]

MogaNet: Multi-order Gated Aggregation Network Siyuan Li*, Zedong Wang*, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li† International Conference on Learning Representations (ICLR), 2024 [arXiv] [Code] [Zhihu] [BibTeX]

Conferences (As Co-author):

Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li† International Conference on Machine Learning (ICML), 2024 [arXiv] [Code] [BibTeX]

LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li† International Joint Conference on Artificial Intelligence (IJCAI), 2024 [arXiv] [Code] [BibTeX]

SemiReward: A General Reward Model for Semi-supervised Learning Siyuan Li*, Weiyang Jin*, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li† International Conference on Learning Representations (ICLR), 2024 [arXiv] [Code] [BibTeX]

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning Cheng Tan*, Siyuan Li*, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li† Advances in Neural Information Processing Systems (NeurIPS), 2023 [arXiv] [Code] [Zhihu] [BibTeX]

Professional Services

Program Committee Member / Reviewer:

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  
• International Conference on Learning Representations (ICLR), 2024 (TinyPapers), 2025
  
• International Conference on Machine Learning (ICML), 2024
  
• European Conference on Computer Vision (ECCV), 2024
  
• Conference on Neural Information Processing Systems (NeurIPS), 2024 (D&B Track)
  
• AAAI Conference on Artificial Intelligence (AAAI), 2025
  
• ACM International Conference on Multimedia (ACM MM), 2024
  
• BMVA The British Machine Vision Conference (BMVC), 2024
  
• IAPR International Conference on Pattern Recognition (ICPR), 2024
  

Membership:

• China Computer Federation (CCF), Student Member, 2024-2026
• China Society of Image and Graphics (CSIG), Student Member, 2023

Selected Awards and Honors

2024:

• Outstanding Reviewer (rate: 2.7%, 198/7293), awarded by The 18th European Conference on Computer Vision (ECCV 2024).
• Outstanding Reviewer (rate: 139/X), awarded by ACM International Conference on Multimedia 2024 (ACM MM 2024).
• Outstanding Reviewer (rate: 19.3%, 166/860), awarded by The 35th British Machine Vision Conference (BMVC 2024).

2022:

• Westlake University Summer Studentship (Chair Prof. Stan Z. Li's Lab).

Acknowledgement

My research career cannot be possible without the generous support from all my awesome mentors, collaborators, and friends:

• Prof. Xinggang Wang, Prof. Yu Zhou, Prof. Xin Yang at Huazhong University of Science and Technology (HUST).
• Chair Prof. Stan Z. Li, Dr. Siyuan Li, Dr. Zicheng Liu, Dr. Haitao Lin, Dr. Jiangbin Zheng, Mr. Siqi Ma at Westlake University.
• Prof. Dan Xu, Dr. Zhenxing Mi, Dr. Yuxin Wang, Dr. Yu Cai, Mr. Yiwei Chen at The Hong Kong University of Science & Technology.
• Dr. Bin Fu, Mr. Aozhong Zhang at SIAT-MMLab, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences.
• Dr. Xiaoping Du at Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences.
• Mr. Juanxi Tian at Hong Kong Baptist University.

Apart from AI research, I've been fortunate to meet wonderful friends and partners at different life stages. Whether we are still in touch or not, I appreciate all your presence and support and wish you all the best. To the very best of times!

Fragments of Memories

Great memories with my advisors: Prof. Xinggang Wang (HUST), Chair Prof. Stan Z. Li (Westlake University), and also CAIRI AI Lab.

     

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