Sijie Li | The University of Sheffield

About Me

I am a Ph.D. student (starting Dec. 2023) at Computer Vision Research Group of The University of Sheffield (TUoS). I am fortunate enough to have Prof. Jungong Han and Dr. Chen Chen as my advisors. Previous to my PhD study, I obtained my bachelor’s degree from Huazhong University of Science and Technology (HUST) and my master’s degree from University of Edinburgh (UoE), respectively. I have also served as a Machine Learning Engineer in industry for nearly three year.

Research Interests

Computer vision
Multimodal learning: Multimodal foundation models & applications, efficiency, robustness, etc.

I am currently open to all kinds of collaboration in the scope of multimodal learning and computer vision.
Email me for discussion!

Ongoing Research

1. Learning with Missing Modalities (in submission)

Project page

2. MLLM compression

News

[May 2024 - Now] Research Intern (part-time) at Huawei Cambridge Research Centre.
[Dec. 2023] My PhD study officially started!

Publications

Text mining of gene–phenotype associations reveals new phenotypic profiles of autism-associated genes

Sijie Li, Ziqi Guo, Jacob B. Ioffe, Yunfei Hu, Yi Zhen* & Xin Zhou* (*Corresponding authors)

Scientific Reports 11.1 (2021): 15269.

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Services

Journal Reviewers

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