Hi! I am a master’s student majoring in Electronic Information at Department of Computer Science and Engineering of Shanghai Jiao Tong University, supervised by Prof. Hongtao Lu at BCMI Lab. I received my bachelor’s degree from Shanghai Jiao Tong University in 2022. Previously, I was a visiting student at LV-Lab, ECE, National University of Singapore, supervised by Prof. Xinchao Wang. Here is my CV.

My primary areas of research interest include computer vision, diffusion model, multi-task learning, and federated learning. I have published several papers at international conferences and journals with total Google Scholar citations.

🔥 News

• 2025.04:  🎉🎉 One paper selected as Highlight for CVPR 2025!
• 2025.02:  🎉🎉 One paper accepted by CVPR 2025!
• 2024.11:  🎉🎉 One paper accepted by WSDM 2024!
• 2024.05:  🎉🎉 One paper accepted by TCSVT 2024!
• 2024.04:  🎉🎉 One paper accepted by ICMR 2024!
• 2024.03:  🎉🎉 One paper accepted by ICME 2024!
• 2024.03:  🎉🎉 Three paper has been selected for Oral presentation at ICASSP 2024！
• 2024.02:  🎉🎉 One paper accepted by CVPR 2024! See you in Seattle!
• 2023.12:  🎉🎉 Three paper accepted by ICASSP 2024! See you in Seoul!

📖 Educations

• 2022.09 - 2025.03 (now), Master Candidate in Electronic Information, Shanghai Jiao Tong University, China.
• 2024.08 - 2024.11, Visiting Student at LV-Lab, ECE, National University of Singapore, Singapre.
• 2018.09 - 2022.06, Bachelor of Arts in French, Bachelor of Engineering in Information Engineering, Shanghai Jiao Tong University, China.

📝 Publications

CVPR 2025

Few-shot Implicit Function Generation via Equivariance

Suizhi Huang, Xingyi Yang, Hongtao Lu, Xinchao Wang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 Highlight

CVPR 2024

FedHCA$^2$ : Towards Hetero-Client Federated Multi-Task Learning

Yuxiang Lu$^*$, Suizhi Huang$^*$, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu (co-first author)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

ICASSP 2024

YOLO-MED : Multi-Task Interaction Network for Biomedical Images

Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024 Oral

• UNIDEAL: Curriculum Knowledge Distillation Federated Learning

  Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding

  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024 Oral

• Task Indicating Transformer for Task-conditional Dense Predictions

  Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Bayram Bayramli, Suizhi Huang, Hongtao Lu

  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024 Oral

• BARTENDER: A Simple Baseline Model for Task-level Heterogeneous Federated Learning

  Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Chang Liu, Muyang Yi, Zhaozhi Xie, Yue Ding, Hongtao Lu

  IEEE International Conference on Multimedia and Expo (ICME) 2024

• Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study

  Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Hongtao Lu, Yue Ding

  ACM SIGMM International Conference on Multimedia Retrieval (ICMR) 2024

• Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective

  Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Suizhi Huang, Hongtao Lu, Yue Ding

  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2024

• Optimization of convolutional neural networks for background suppression in the PandaX-III experiment

  Shangning Xia, Suizhi Huang, Kexin Xu, Tao Li, Xun Chen, Ke Han, Shaobo Wang

  Journal of Physics G: Nuclear and Particle Physics 2023

🎖 Honors and Awards

• 2025.12 Outstanding Graduate of Shanghai (top 5% in Shanghai)
• 2024.11 National Scholarship of Graduate (top 1% national-wide)
• 2022-2024 First-Class Master’s Academic Scholarship
• 2024.01 Huatai Securities Science and Technology Scholarship
• 2022.06 Outstanding Graduate of SJTU
• 2021.10 & 2019.10 Outstanding Student of SJTU
• 2020 & 2021 SJTU School Scholarship
• 2019 SJTU SPEIT ARDIAN Enterprise Scholarship

📚 Services

• 2025 ACMMM, ICME, CVPR, ICCV Reviewer
• 2024 NeurIPS, CVPR, ICONIP, ICME, PRML Reviewer
• 2023.09 - 2024.06 TA, Physics, SPEIT, SJTU

🔨 Skills

• Programming Languages: Python, C/C++
• Platform: Linux, Windows, Docker
• Development: PyTorch, OpenCV, Git, CUDA
• English Proficiency: TOEFL iBT: 111
• French Proficiency: DELF B2
• Document Writing: LaTeX, Markdown