Chen Feng

Chen FENG （冯晨）

I'm a Postdoctoral Research Associate at University College London, working with Prof. Miguel Rodrigues. I finished my PhD at Queen Mary University of London, working in CV/ML with Prof. Ioannis Patras. I also visited University of Trento as an AI4Media Junior Exchange Fellow, working with Prof. Nicu Sebe.

I earned my master’s degree from Tsinghua University, where I conducted research in bioinformatics under the supervision of Prof. Jin Gu. Before that, I received my bachelor's degree from Nankai University.

🔔 News

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

I'm interested in various weakly supervised learning problems in the context of computer vision, including completely unlabelled self-supervised learning, semi-supervised learning with partial data having labels, and learning with noisy/coarse labels. I'm happy to discuss any related topics and possible collaborations, please simply drop me an email!

	PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues AAAI 2025 (Oral)
	CLIPCleaner: Cleaning Noisy Labels with CLIP Chen Feng, Georgios Tzimiropoulos, Ioannis Patras ACM MM 2024 code
	NoiseBox: Towards More Efficient and Effective Learning with Noisy Labels Chen Feng, Georgios Tzimiropoulos, Ioannis Patras IEEE TCSVT 2024
	LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition Zhonglin Sun, Chen Feng, Ioannis Patras, Georgios Tzimiropoulos CVPR 2024 code
	Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features Zheng Gao, Chen Feng, Ioannis Patras WACV 2024 code
	MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset Chen Feng, Ioannis Patras CVPR 2023 code / video
	SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng, Georgios Tzimiropoulos, Ioannis Patras BMVC 2022 code
	Adaptive Soft Contrastive Learning Chen Feng, Ioannis Patras ICPR 2022 code

Academic services

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

Journals: 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