Hello! I am a master’s student majored in Electronic and Information Engineering at Department of Computer Science and Engineering of Shanghai Jiao Tong University, supervised by Professor Hongtao Lu at BCMI Lab. I received my B.Eng. degree in Computer Science and Technology from Shanghai Jiao Tong University in 2022, with Zhiyuan Honors Program of Engineering. Here is my CV.

My primary areas of research interest includes computer vision, multi-task learning, representation learning, vision foundation models, and federated learning. I have published serveral papers at international conferences and journals. I am also a reviewer for several top-tier conferences and journals.

🔥 News

• 2024.07:  🎉🎉 One paper accepted by ACM MM 2024!
• 2024.05:  🎉🎉 One paper accepted by TCSVT!
• 2024.04:  🎉🎉 One paper accepted by CVIU!
• 2024.04:  🎉🎉 One paper accepted by ICMR 2024!
• 2024.03:  🎉🎉 One paper accepted by DASFAA 2024!
• 2024.03:  🎉🎉 One paper accepted by ICME 2024!
• 2024.03:  🎉🎉 Two papers are selected as Oral by ICASSP 2024!
• 2024.02:  🎉🎉 One paper accepted by CVPR 2024!
• 2023.12:  🎉🎉 One paper accepted by IEEE TMM!
• 2023.12:  🎉🎉 Two papers accepted by ICASSP 2024!

📖 Educations

• 2022.09 - 2025.03 (now), Candidate for Master in Electronic and Information Engineering, Shanghai Jiao Tong University, China

  GPA: 3.96/4.0, Rank: 2/117

• 2018.09 - 2022.06, B.Eng. in Computer Science and Technology, Shanghai Jiao Tong University, China

  GPA: 3.89/4.3, Score: 90.43/100, Rank: 15/147

📝 Publications

CVPR 2024

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

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

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

Code Poster

TMM 2024

Prompt Guided Transformer for Multi-Task Dense Prediction

Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu

IEEE Transactions on Multimedia (TMM) 2024

Code

ICASSP 2024

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

Code

• Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation

  Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Yuwen Yang, Tamam Alsarhan, Hongtao Lu, Yue Ding

  ACM Multimedia (ACM MM) 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

  International Conference on Multimedia Retrieval (ICMR) 2024

• 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

• Towards Mixture of Task-Intensive Experts for Multi-task Recommendation

  Xun Cai, Yuxiang Lu, Hongtao Lu, Yue Ding

  International Conference on Database Systems for Advanced Applications (DASFAA) 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

• TFUT: Task Fusion Upward Transformer Model for Multi-Task Learning on Dense Prediction

  Zewei Xin, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Chunlin Wang, Tamam Alsarhan, Hongtao Lu

  Computer Vision and Image Understanding (CVIU) 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

• Scale-Aware Task Message Transferring For Multi-Task Learning

  Shalayiding Sirejiding, Yuxiang Lu, Hongtao Lu, Yue Ding

  IEEE International Conference on Multimedia and Expo (ICME) 2023, Oral

• Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting

  Weihao Jiang, Zhaozhi Xie, Yuxiang Lu, Longjie Qi, Jingyong Cai, Hiroyuki Uchiyama, Bin Chen, Yue Ding, Hongtao Lu

  Arxiv Preprint

🥇 Honors and Awards

• 2024.01 Huawei Scholarship
• 2022.06 Outstanding Graduate of Shanghai Jiao Tong University
• 2021.10 Outstanding Student of Shanghai Jiao Tong University
• 2021.06 Wish Scholarship
• 2021.01 Huawei Scholarship
• 2018-2021 Zhiyuan Honors Scholarship
• 2019-2021 Shanghai Jiao Tong University School Scholarship

📚 Services

• Reviewer: ACM MM 2024, ICME 2024, IEEE TMM, IEEE TCSVT
• TA, Image Processing and Machine Vision, SJTU, Fall 2023

💪 Skills

• Programming: Python, C/C++, MATLAB
• Development: PyTorch, OpenCV, Git
• Platform: Linux, Windows
• Server Management: Docker, Proxmox, TrueNAS
• Language: Mandarin (Native), English (Fluent, TOEFL 110)
• Document Writing: LATEX, Markdown
• Hobby: Photography, Electronics