Zedong Wang (王泽栋) Westlake University, The Hong Kong University of Science and Technology (HKUST) Chair Prof. Stan Z. Li Group@Westlake, Prof. Dan Xu Group@HKUST Location: E2 Building, Westlake University, Dunyu Road #600, Xihu District, Hangzhou, Zhejiang, China. News | Research Interests | Education | Internship | Publications | Services | Acknowledgement | Photos Email: jackywang28@outlook.com (prior); wangzedong@westlake.edu.cn [Google Scholar] [OpenReview] [Twitter (X)] [GitHub] [ArXiv Page] [ORCID] [DBLP] [Semantic Scholar] Welcome to contact me via email (jackywang28@outlook.com), Twitter (ZedongWangAI) or WeChat (JackyW1128) about research and internship.

• Data-level: Mixup Augmentation and Label-Efficient Learning [OpenMixup, SemiReward].
• Network-level: Efficient Deep Network Architecture Design [MogaNet].
• Framework-level: Vector Quantized Representation Learning [VQDNA].

• 2019.09-2023.06        B.Eng. in EE at Huazhong University of Science and Technology.                   Supervisor: Prof. Xinggang Wang.

• 2024.04-now               Research on multi-task perception at ZEEKR, Geely Holding Group.                Advisor: ZEEKR Team.
• 2024.03-now                Research on multi-modal & multi-task learning at HKUST.                                  Advisor: Prof. Dan Xu.
• 2022.06-now                Research on representation learning & AI4S at Westlake University.                 Advisor: Chair Prof. Stan Z. Li.
• 2021.09-2023.06        Research on few-shot semantic segmentation at HUST Vision Lab.                   Advisor: Prof. Xinggang Wang.
• 2021.06-2021.09         Research on semantic segmentation & text spotting at SIAT-MMLab.               Advisor: Dr. Bin Fu.

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

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 [PDF] [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 [PDF] [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 [PDF] [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 [PDF] [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 [PDF] [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 [PDF] [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 [PDF] 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 [PDF] [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 [PDF] [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 [PDF] [Code] [Zhihu] [BibTeX]

Services

Program committee member | Reviewer:

• Conference Reviewer / PC Member:
International Conference on Learning Representations (ICLR), 2024
International Conference on Machine Learning (ICML), 2024
European Conference on Computer Vision (ECCV), 2024
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

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.

Aside from research, I've been fortunate to meet wonderful friends and partners at my various life moments. Whether we are still in touch or not, I appreciate all your support and wish you all the best.

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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