Zedong Wang (Jacky) is currently a first-year CSE PhD student at The Hong Kong University of Science and Technology (HKUST), advised by Prof. Dan Xu. Previously, he was a visiting student at Westlake University, advised by Chair Prof. Stan Z. Li. He received his bachelor's degree in Electronics and Information Engineering from Huazhong University of Science and Technology (HUST) in 2023, where he was fortunately advised by Prof. Xinggang Wang.

He has been recognized as Outstanding Reviewer at several prestigious AI/CV conferences, including ECCV'24, MM'24, and BMVC'24. His research centers on computer vision and multi-task learning, with a specific focus on efficient network architectures, learning paradigms, and optimization techniques.

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Research Interests

Currently, I focus mostly on Computer Vision and Efficient Multi-task Learning, including (but not limited to):

• Data-efficient Learning: Mixup Augmentation [OpenMixup, SAMix], Semi-supervised Learning [SemiReward].
• Efficient Network Architectures: Vision Backbones [MogaNet], Multi-task Architectures [MergeVQ].
• Optimization Techniques: Optimizers [SEMA, BOCB], Multi-task Optimization.

Education

 

         The Hong Kong University of Science and Technology (2025-now)
         • Ph.D. in Computer Science and Engineering.
         • Topics: Efficient Multi-task Learning.
         • Supervisor: Prof. Dan Xu.

 

     Huazhong University of Science and Technology (2019-2023)
     • B.Eng. in Electronic and Information Engineering.
     • Thesis: Efficient ConvNet-based Vision Backbone for Multiple Tasks (Grade: 92/100).
     • Supervisor: Prof. Xinggang Wang.

 

Research Experience

 

       ZEEKR Intelligent Technology (2024.04-2025.01)
       • Topics: Efficient Multi-task Learning in Autonomous Driving.
       • Advisor: Prof. Dan Xu (University-Enterprise Cooperation).

 

       Stan Z. Li's AI Lab, Westlake University (2022.06-2024.03)
       • Topics: Visual Representation Learning and AI for Genomics.
       • Advisor: Chair Prof. Stan Z. Li (IEEE Fellow, IAPR Fellow).

 

     Xinggang Wang's Vision Group, HUST (2021.09-2022.06)
     • Topics: 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.

 

Publications

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

Conference Reviewer/PC Member:

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  
• IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  
• European Conference on Computer Vision (ECCV), 2024
  
• International Conference on Learning Representations (ICLR), 2024 (TinyPapers), 2025
  
• International Conference on Machine Learning (ICML), 2024, 2025
  
• 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
  

Journal Reviewer:

• IEEE Transactions on Knowledge and Data Engineering (TKDE)

Membership:

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

Selected Awards and Honors

 

• Outstanding Reviewer Award, at ECCV 2024 (2.7%, 198/7293), ACM MM 2024 (139/X), and BMVC 2024 (19.3%, 166/860).
• Westlake University Summer Studentship (2/100+), selected by Stan Z. Li's AI Lab, 2022.

Acknowledgement

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

• Prof. Xinggang Wang, Prof. Yu Zhou at 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, Mr. Yu Cai, Mr. Yiwei Chen at HKUST.
• Mr. Aozhong Zhang at SUNY Albany.
• Mr. Juanxi Tian at HKBU.

 

Beyond academia, I feel incredibly fortunate to met wonderful friends and partners along the way (particularly during my middle school and high school years in Shenzhen). To every one of you who has walked through different chapters of my life: I appreciate all your presence and support, and carry deep gratitude for our shared moments. Whether we are still in touch or not, I wish you all the best!

 

Even if most of you may never visit this page, please know my door is always open for a chat - coffee's on me!

Fragments of Memories

Great memories with my advisors: Prof. Xinggang Wang (HUST).

 

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