Hello! I am an incoming PhD student at School of Computing and Data Science, the University of Hong Kong (HKU). I received my M.Eng. degree in Electronic and Information Engineering from Shanghai Jiao Tong University (SJTU) in 2025, supervised by Professor Hongtao Lu. I also received my B.Eng. degree in Computer Science and Technology from SJTU in 2022, with Zhiyuan Honors Program of Engineering. I worked as a research intern at AgiBot and Shanghai AI Lab in 2025. I worked with Professor Yuxiong Wang at the University of Illinois at Urbana-Champaign as a visiting student in 2024.

My primary areas of research interest includes Embodied AI, Computer Vision, Multi-Task Learning, Representation Learning, Foundation Models, and Federated Learning.

🔥 News

  • 2025.07:  🎉🎉 One paper accepted by ACM MM 2025!
  • 2025.06:  🎉🎉 One paper accepted by ICCV 2025 and one paper accepted by IROS 2025!
  • 2025.06:  🎉🎉 Awarded HKU Presidential PhD Scholar Programme (HKU-PS)!
  • 2025.05:  🎉🎉 One paper accepted by ICML 2025!

📝 Selected Publications

ICML 2025
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BECAME: Bayesian Continual Learning with Adaptive Model Merging

Mei Li$^*$, Yuxiang Lu$^*$, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu

International Conference on Machine Learning (ICML) 2025

Code

IROS 2025
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AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Yuxiang Lu (Core Contributor)

International Conference on Intelligent Robots and Systems (IROS) 2025

Project Blog Code

ICLR 2025
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Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning

Yuxiang Lu$^*$, Shengcao Cao$^*$, Yuxiong Wang

International Conference on Learning Representations (ICLR) 2025

Project Code Poster

CVPR 2024
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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
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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
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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

📖 Educations

  • Sep. 2022 - Mar. 2025, M.Eng. in Electronic and Information Engineering, Shanghai Jiao Tong University, China

    GPA: 3.96/4.0, Rank: 2/118

  • Sep. 2018 - Jun. 2022, B.Eng. in Computer Science and Technology, Shanghai Jiao Tong University, China

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

🥇 Honors and Awards

  • 2025 - 2029 HKU Presidential PhD Scholar Programme (HKU-PS)
  • 2025 Outstanding Graduate of Shanghai
  • 2024 National Scholarship of Graduates (Top 1%)
  • 2022 - 2024 First-Class Master’s Academic Scholarship at Shanghai Jiao Tong University
  • 2020, 2023 Huawei Scholarship
  • 2022 Outstanding Graduate of Shanghai Jiao Tong University
  • 2021 Outstanding Student of Shanghai Jiao Tong University
  • 2021 Wish Scholarship
  • 2018 - 2021 Zhiyuan Honors Scholarship
  • 2019 - 2021 Shanghai Jiao Tong University Scholarship

📚 Services

  • Reviewer: ICLR, ICCV, NeurIPS, ACM MM, ICME, IEEE TMM, IEEE TCSVT, IEEE IoT
  • Volunteer: ICLR 2025, ICME 2024 (w/ travel grant)
  • Mentoring: 2 Master’s students, 3 Undergraduate theses
  • Teaching Assistant: Image Processing and Machine Vision, SJTU, Fall 2023

💪 Skills

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