Chen Feng (冯晨)

Lecturer in Machine Learning

I am a Lecturer (Assistant Professor) in Machine Learning at Queen's University Belfast. My research explores machine learning under imperfect information, spanning self-supervised learning, semi-supervised learning, and learning with noisy or coarse labels. I am also focused on assessing and improving the safety of imperfect models, such as large language models (LLMs). I'm happy to connect on these topics or potential collaborations—please feel free to email me.

Previously, I was a Postdoctoral Research Associate at University College London, working with Prof. Miguel Rodrigues. I earned my PhD from Queen Mary University of London under the guidance of Prof. Ioannis Patras. I also spent time as an AI4Media Junior Exchange Fellow at University of Trento, collaborating with Prof. Nicu Sebe.

I hold a master’s degree from Tsinghua University, where I conducted bioinformatics research supervised by Prof. Jin Gu. I completed my bachelor’s degree at Nankai University.

News

July 16, 2025
The BMVA Symposium on AI Security was a resounding success! A heartfelt thank you to all attendees and speakers for their invaluable contributions. Watch the full video here: Link.
July 5, 2025
Two papers have been accepted to ACM MM'25!
Apr 15, 2025
I was recently interviewed by AIhub about my recent research. Grateful for the opportunity to share my work and perspectives. Read the full interview here.
Feb 28, 2025
Excited to attend AAAI'25 in Philadelphia and deliver an oral presentation of our paper!
Dec 12, 2024
I will be chairing the BMVA Symposium on AI Security in July 2025. Stay tuned for further updates!
Dec 10, 2024
PROSAC has been accepted for oral presentation at AAAI'25!
Jul 15, 2024
CLIPCleaner has been accepted to ACM MM'24!
Jul 11, 2024
NoiseBox has been accepted to IEEE Transactions on Circuits and Systems for Video Technology!
May 10, 2024
Successfully defended my PhD on May 10! Sincere thanks to my examiners: Dr. Qianni Zhang and Prof. Tao Xiang.
Feb 28, 2024
LAFS has been accepted to CVPR'24!
Jan 20, 2024
I was invited to give an open seminar talk at RIKEN AIP.

Research

Academic Services

Programme committee: ICML, CVPR, NeurIPS, AAAI, ICLR, ICCV, ECCV, AISTATS, BMVC, ACCV, ICPR, COLM

Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Image and Vision Computing

Chair: BMVA Symposium on AI Security, ICIRA 2024 Special Session (Human-Centric AI in Clinical Robotics: Bridging the Future of Healthcare)

Membership: Association for Computing Machinery (ACM), Institute of Electrical and Electronics Engineers (IEEE), The Computer Vision Foundation (CVF), The British Machine Vision Association(BMVA)