Welcome to the QUB ML Lab! 欢迎访问 QUB 机器学习实验室!

I direct the Machine Learning Lab at Queen's University Belfast. For recent group news, publications, and fully-funded PhD openings, please visit our lab website. 我目前在英国女王大学领导机器学习实验室。关于团队最新动态、代表性成果以及全奖博士招生信息,请前往实验室主页。

Visit Lab Website访问实验室主页
Prof. Chen Feng

Prof. Chen Feng冯 晨 教授

Lecturer (Asst. Prof.) @ QUB 讲师 (助理教授) @ QUB

I am a Lecturer in Machine Learning at Queen's University Belfast. My research centers on building robust, reliable, and secure AI systems. Prior to joining QUB, I was a Postdoctoral Research Associate in the IIML Group at UCL, collaborating with Prof. Miguel Rodrigues. I received my Ph.D. from QMUL (supervised by Prof. Ioannis Patras), and spent time as an AI4Media Junior Exchange Fellow at the University of Trento, working with Prof. Nicu Sebe. I hold a Master's from Tsinghua University (supervised by Prof. Jin Gu), and a Bachelor's from Nankai University.

On a personal note, I grew up in Chizhou, Anhui Province, China—a beautiful small city located near the renowned scenic area of Huangshan (Yellow Mountain).

我是贝尔法斯特女王大学(QUB)机器学习方向的讲师(助理教授),研究致力于构建鲁棒、可靠且安全的人工智能系统。 此前,我在 伦敦大学学院(UCL) 担任博士后研究员,与 Miguel Rodrigues 教授开展合作。我于 伦敦玛丽女王大学(QMUL) 获得博士学位(导师 Ioannis Patras 教授);期间曾作为 AI4Media 青年交流学者赴特伦托大学与 Nicu Sebe 教授进行合作研究。 我于清华大学获得硕士学位(导师古槿教授),本科毕业于南开大学

在学术之外,我来自中国安徽省池州市,这是一座风景秀丽的小城,毗邻世界著名的黄山风景区。

Machine Learning AI Safety & Alignment Learning with Noisy Labels Self-supervised Learning

Belfast, UK英国 · 贝尔法斯特

Queen's University Belfast

Vacancies招生招聘

Hiring self-motivated PhDs & Visitors.
Send CV & Statement.
招收博士及访问学者。
请附简历与研究陈述。

c.feng@qub.ac.uk →

News动态

MAY 2026 Visiting Koç University and the KUIS AI Center this June, invited by Prof. Cigdem Gunduz Demir. 受 Cigdem Gunduz Demir 教授邀请,将于今年 6 月访问科奇大学 KUIS AI Center
MAR 2026 Serving as Guest Editor for MDPI Electronics Special Issue. 担任 MDPI Electronics 特刊客座主编。
FEB 2026 Awarded the JCP Travel Award. 荣获 JCP Travel Award
FEB 2026🎉 One paper accepted to CVPR 2026.🎉 一篇论文被 CVPR 2026 接收。
JAN 2026🎉 One paper accepted to ICLR 2026.🎉 一篇论文被 ICLR 2026 接收。
NOV 2025 Selected as an AInet Fellow by DAAD. 入选 DAAD AInet Fellow
SEP 2025Joined Queen's University Belfast as a Lecturer.正式加入 QUB 担任讲师。
JUL 2025 BMVA Symposium on AI Security was a resounding success. Watch Video. BMVA 人工智能安全研讨会圆满结束。 视频回放
JUL 2025Two papers accepted to ACM MM 2025.两篇论文被 ACM MM 2025 接收。
APR 2025 Interviewed by AIhub regarding recent research. 接受 AIhub 专访。
FEB 2025Attended AAAI'25 in Philadelphia for an oral presentation.赴费城参加 AAAI'25 并作口头报告。
DEC 2024 Announced as Chair for BMVA Symposium on AI Security. 宣布担任 BMVA AI 安全研讨会主席。
DEC 2024 PROSAC accepted for oral presentation at AAAI'25! PROSAC 被 AAAI'25 接收为 Oral!
JUL 2024 CLIPCleaner accepted to ACM MM'24! CLIPCleaner 被 ACM MM'24 接收!
JUL 2024 NoiseBox accepted to IEEE TCSVT! NoiseBox 被 IEEE TCSVT 接收!
MAY 2024 Defended PhD. Thanks to examiners: Dr. Qianni Zhang & Prof. Tao Xiang. 通过博士答辩。感谢答辩委员 Dr. Qianni ZhangProf. Tao Xiang
FEB 2024 LAFS accepted to CVPR'24! LAFS 被 CVPR'24 接收!
JAN 2024 Invited open seminar talk at RIKEN AIP. 受邀在 RIKEN AIP 进行学术报告。

Academic Services & Fellowships学术服务与交流

Program Committee / Reviewer: 程序委员会 / 审稿人:
ICML, CVPR, NeurIPS, AAAI, ICLR, ICCV, ECCV, AISTATS, BMVC, ACCV, ICPR, COLM, ICPR, IJCAI
Journal Reviewer: 期刊审稿人:
IEEE TPAMI, IJCV, IEEE TNNLS, IEEE TCSVT, Image and Vision Computing, Pattern Recognition, KBS
Chair & Organizer: 会议主席与组织:
BMVA Symposium on AI Security, ICIRA 2024 Special Session, PRCV 2026 Special Session
Fellowships & Memberships: 奖学金与学会会员:
AI4Media Junior Exchange Fellow (Univ. of Trento, working with Prof. Nicu Sebe) AI4Media 青年交流学者 (特伦托大学,合作导师 Nicu Sebe 教授)
DAAD AInet Fellow DAAD AInet Fellow
Member of ACM, IEEE, The Computer Vision Foundation (CVF), BMVA

Selected Publications代表性学术成果

Full List →完整列表 →
CVPR 2026
Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis
Chen Feng, Zhuo Zhi, Zhao Huang, Jiawei Ge, Ling Xiao, Nicu Sebe, Georgios Tzimiropoulos, Ioannis Patras
ICLR 2026
Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges
Chen Feng, Minghe Shen, Ananth Balashankar, Carsten Gerner-Beuerle, Miguel R. D. Rodrigues
ACM MM 2025
Unveiling open-set noise: theoretical insights into label noise
Chen Feng, Nicu Sebe, Georgios Tzimiropoulos, Miguel R. D. Rodrigues, Ioannis Patras
AAAI 2025 (Oral)
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues
ACM MM 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP
Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
IEEE TCSVT 2024
NoiseBox: Towards More Efficient and Effective Learning with Noisy Labels
Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
CVPR 2024
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
Zhonglin Sun, Chen Feng, Ioannis Patras, Georgios Tzimiropoulos
CVPR 2023
MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset
Chen Feng, Ioannis Patras