PhD Candidate
Department of Data Science and Artificial Intelligence
Research Centre for the Mathematical Foundations of Generative AI (CMFAI)
Hong Kong Polytechnic University

Email: niusj03@gmail.com & shengjie.niu@connect.polyu.hk
Github

Hi, I’m currently a PhD candidate at The Hong Kong Polytechnic University (PolyU) under the Department of Data Science and Artificial Intelligence. I’m honored to study under the supervison of Prof. Huang Jian. Prior to that, I served as research assistant under the supervison of Prof. Wang Chao at Southern University of Science and Technology (SUSTech) and achieved my Bachelor degree in Statistics at SUSTech under the supervision of Prof. Shao Qiman.

My research interests lie in Statistical Learning, Semi-supervised learning and Self-Supervised Learning. Currently, I am focusing on applying these techniques to real-world Medical Imaging Analysis and developing reliable Machine Unlearning systems. More broadly, my research objective is to leverage statistical methods to address practical problems arising in machine learning.

Recent News

• Sept 2024, our work “OwMatch: Conditional Self-Labeling with Consistency for Open-world Semi-Supervised Learning” got accepted by NeurIPS. arXiv & Github

• Aug 2023, the 23 summer seminar Introduction to and Advances in Self-Supervised Learning comes to perfect end.

• Jun 2023, I orgnize the 23 summer seminar Introduction to and Advances in Self-Supervised Learning under the supervision of Prof. Wang Chao.