Zedong (Jacky) is currently a first-year PhD student in Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST), advised by Prof. Dan Xu. Prior to this, he served as a visiting student at Westlake University, advised by Chair Prof. Stan Z. Li (IEEE Fellow, IAPR Fellow). He received his bachelor's degree in Electronics and Information Engineering from Huazhong University of Science and Technology (HUST), where he was fortunate to be advised by Prof. Xinggang Wang.

His research centers on (i) computer vision, including MogaNet (ICLR'24) and MergeVQ (CVPR'25), (ii) multi-task learning, including Rep-MTL (ICCV'25 Highlight), and (iii) deep learning optimizers, including SGG (ACL'25). He has been recognized as an Outstanding or Notable Reviewer at several leading conferences, including ICLR'25 (rate: 2.6%), ECCV'24 (rate: 2.7%), ACM MM'24, and BMVC'24 (rate: 19.3%).

News

Education

The Hong Kong University of Science and Technology • Ph.D. in Computer Science and Engineering. • Topics: Efficient Multi-task Learning. • Advisor: 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). • Advisor: Prof. Xinggang Wang.

Research Experience

The Hong Kong University of Science and Technology (2024.04-2025.02) • Topics: Efficient Multi-task Learning for Autonomous Driving. • Advisor: Prof. Dan Xu.

AI Lab, Westlake University (2022.07-2024.04) • Topics: Visual Representation Learning and AI for Science. • Advisor: Chair Prof. Stan Z. Li (IEEE Fellow, IAPR Fellow).

Xinggang Wang's Group, HUST (2021.09-2023.03) • 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.

Selected Awards and Honors

Outstanding / Notable Reviewer Awards:

• The 13th International Conference on Learning Representations (ICLR 2025), Top 2.6% (473/18323)
  
• The 18th European Conference on Computer Vision (ECCV 2024), Top 2.7% (198/7293)
  
• The 32nd ACM International Conference on Multimedia (ACM MM 2024), 139 selected
  
• The 35th British Machine Vision Conference (BMVC 2024), Top 19.3% (166/860)
  

Publications

Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning Zedong Wang, Siyuan Li, Dan Xu ICCV 2025 (Highlight), Honolulu, Hawai'i arXiv HF Daily Top-5 Project Virtual Code BibTeX

Taming LLMs by Scaling Learning Rates with Gradient Grouping Siyuan Li*, Juanxi Tian* Zedong Wang*, Xin Jin, Zicheng Liu, Wentao Zhang, Dan Xu ACL 2025 (Main), Vancouver, Canada arXiv HF Daily Top-5 Project 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 ICLR 2024, Vienna, Austria arXiv Code Virtual Zhihu BibTeX

VQDNA: Unleashing the Power of Vector Quantization for Genomic Sequence Modeling Siyuan Li*, Zedong Wang*, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Li ICML 2024, Vienna, Austria arXiv Code Virtual BibTeX

Conferences (As Co-author) 5 Papers

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization Siyuan Li*, Luyuan Zhang*, Zedong Wang, Juanxi Tian, Cheng Tan, Zicheng Liu, Chang Yu, Qingsong Xie, Haonan Lu, Haoqian Wang, Zhen Lei CVPR 2025, Vancouver, Canada arXiv HF Daily Top-1 Project Virtual BibTeX

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 ICML 2024, Vienna, Austria 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 IJCAI 2024, Jeju, Korea 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 ICLR 2024, Vienna, Austria arXiv Code BibTeX

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Stan Z. Li NeurIPS 2023, New Orleans, USA arXiv Code Zhihu BibTeX

Selected Preprints 2 Papers

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 Hugging Face Project 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

Professional Services

Conference Reviewer/PC Member:

• International Conference on Learning Representations (ICLR), 2024 (TinyPapers), 2025
  
• Annual Conference on Neural Information Processing Systems (NeurIPS), 2024, 2025
  
• International Conference on Machine Learning (ICML), 2024, 2025
  
• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  
• European Conference on Computer Vision (ECCV), 2024
  
• AAAI Conference on Artificial Intelligence (AAAI), 2025
  
• ACM International Conference on Multimedia (ACM MM), 2024
  
• IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
  
• BMVA The British Machine Vision Conference (BMVC), 2024, 2025
  
• IAPR International Conference on Pattern Recognition (ICPR), 2024
  

Journal Reviewer:

• IEEE Transactions on Knowledge and Data Engineering (TKDE)

Membership:

• The Computer Vision Foundation (CVF), Member, 2025-now
• 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 support from all my awesome mentors, collaborators, and friends:

• Prof. Xinggang Wang, Prof. Yu Zhou at HUST.
• 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. Chi Yan, Mr. Yucheng Wang, Mr. Yiwei Chen at HKUST.

 

Beyond academia, I feel incredibly fortunate to met wonderful friends along the way (particularly during my middle and high school years in Shenzhen and the two years in Hangzhou). Thank you all for your presence and support these years, and I am deeply grateful for our shared moments. Whether we are still in touch or not, I wish you all the best and a bright future!

 

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

Pictures of Memories

June 20, 2023

Captured on graduation day with my undergrad advisor Prof. Xinggang Wang, who guided me through my very first academic journey and sparked my passion for deep learning and computer vision research.

Huazhong University of Science and Technology, Wuhan, China

April 2024

A farewell moment with Chair Prof. Stan Z. Li before leaving Westlake University, concluding nearly two years of invaluable research experience that shaped who I am today.

Westlake University, Hangzhou, China

Music

Over countless nights of research, this 26-minute masterpiece has been my steadfast companion. It embodies exploration, contemplation, and inspiration, much like the research journey itself. Hope you enjoy it!

Pink Floyd - Echoes (Live at Pompeii, 1972)

"No one showed us to the land and no one knows the where's or why's, but something stirs and something tries..."

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