About Me关于我

I am a Lecturer (Assistant Professor) in Machine Learning at Queen's University Belfast. My research centers on building robust, reliable, and secure AI systems, with a particular focus on two core pillars:

  • Machine Learning under Imperfect Information: Self-supervised learning, semi-supervised learning, and learning with noisy or coarse labels.
  • AI Safety & Alignment: Assessing and enhancing the security and reliability of imperfect models, particularly Large Language Models (LLMs).

Prior to joining QUB, I was a Postdoctoral Research Associate in the Information, Inference and Machine Learning (IIML) Group at University College London. I received my Ph.D. from Queen Mary University of London under the supervision of 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 degree from Tsinghua University (supervised by Prof. Jin Gu) and a Bachelor’s degree from Nankai University.

I am always open to discussing research ideas and potential collaborations. Please feel free to drop me an email!

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)。我的研究致力于构建鲁棒、可靠且安全的人工智能系统,主要聚焦于以下两个核心领域:

  • 不完美信息下的机器学习: 涵盖自监督学习、半监督学习以及噪声/粗糙标签学习。
  • 人工智能安全 (AI Safety): 致力于评估和提升不完美模型(如大语言模型 LLMs)的安全性与可靠性。

在加入 QUB 之前,我在伦敦大学学院(UCL)的“信息、推断与机器学习”课题组担任博士后研究员。我于伦敦玛丽女王大学(QMUL)获得博士学位,师从 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 教授开展合作研究。

在此之前,我本科毕业于南开大学,随后在清华大学获得硕士学位(师从古槿教授进行生物信息学研究)。

我非常欢迎对以上研究方向感兴趣的同学或同行与我联系,探讨前沿学术问题与潜在的合作机会。

Vacancies招生招聘

I am actively looking for self-motivated PhD students and Visiting Scholars to join my research group. Our research focuses on Machine Learning under Imperfect Information (e.g., Noisy Labels, Semi-supervised Learning) and AI Safety.

我目前正在积极寻找自我驱动力强的博士研究生以及访问学者加入我的课题组。我们的研究主要聚焦于不完美信息下的机器学习(例如噪声标签学习、半监督学习)以及人工智能安全(AI Safety)

Please send your CV, transcripts, and a brief research statement to: 请将您的个人简历、成绩单以及简短的研究陈述发送至:
c.feng@qub.ac.uk

* Please use the subject line "Prospective Student - [Your Name]" to ensure your email is prioritized. * 请使用邮件主题 "Prospective Student - [您的姓名]",以确保您的邮件得到优先处理。

Recent News最新动态

Mar 27, 2026
I am happy to serve as the leading Guest Editor for the MDPI Electronics Special Issue on "Computer Vision and Machine Learning: Real-World Applications". Submissions are welcome! 非常荣幸受邀担任 MDPI Electronics 期刊特刊 "Computer Vision and Machine Learning: Real-World Applications" 的客座编辑。欢迎大家踊跃投稿!
Feb 27, 2026
I have been awarded the JCP Travel Award! 非常荣幸获得了 JCP Travel Award(旅行奖)!
Feb 20, 2026
One paper has been accepted to CVPR'26! 有一篇论文被计算机视觉顶会 CVPR 2026 接收!
Jan 25, 2026
One paper has been accepted to ICLR'26! 有一篇论文被深度学习顶会 ICLR 2026 接收!
Nov 5, 2025
I'm thrilled to have been selected as an AInet Fellow by DAAD! Thanks to this fellowship, I will be heading to Germany for a visit next year. 非常荣幸入选 DAAD AInet Fellow 计划!得益于此奖学金,我将于明年赴德国进行学术访问。
Sep 1, 2025
I am excited to announce that I have officially joined Queen's University Belfast (QUB) as a Lecturer (Assistant Professor) in Machine Learning! 我非常高兴地宣布,我已正式加入 贝尔法斯特女王大学 (QUB),担任机器学习方向的讲师(助理教授)!
Jul 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. BMVA 人工智能安全研讨会圆满结束!衷心感谢所有参会者和演讲嘉宾的宝贵贡献。点击此处观看完整视频回放。
Jul 5, 2025
Two papers have been accepted to ACM MM'25! 有两篇论文被多媒体顶会 ACM MM 2025 接收!
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. 最近接受了 AIhub 关于我近期研究的专访。非常感谢能有这个机会分享我的工作与观点。点击此处阅读完整采访
Feb 28, 2025
Excited to attend AAAI'25 in Philadelphia and deliver an oral presentation of our paper! 很高兴能前往费城参加 AAAI 2025,并对我们的论文进行口头报告 (Oral Presentation)!
Dec 12, 2024
I will be chairing the BMVA Symposium on AI Security in July 2025. Stay tuned for further updates! 我将于2025年7月担任 BMVA 人工智能安全研讨会 的主席。敬请期待后续更新!
Dec 10, 2024
PROSAC has been accepted for oral presentation at AAAI'25! 论文 PROSAC 被 AI 顶会 AAAI 2025 接收为 Oral (口头报告)
Jul 15, 2024
CLIPCleaner has been accepted to ACM MM'24! 论文 CLIPCleaner 被 ACM MM 2024 接收!
Jul 11, 2024
NoiseBox has been accepted to IEEE Transactions on Circuits and Systems for Video Technology! 论文 NoiseBox 被 IEEE TCSVT 接收!
May 10, 2024
Successfully defended my PhD on May 10! Sincere thanks to my examiners: Dr. Qianni Zhang and Prof. Tao Xiang. 于5月10日顺利通过博士答辩!衷心感谢我的答辩委员:Dr. Qianni ZhangProf. Tao Xiang
Feb 28, 2024
LAFS has been accepted to CVPR'24! 论文 LAFS 被计算机视觉顶会 CVPR 2024 接收!
Jan 20, 2024
I was invited to give an open seminar talk at RIKEN AIP. 受邀在 RIKEN AIP 进行公开学术报告 (Seminar Talk)。

Selected Publications代表性论文

PROSAC
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 Presentation)
CLIPCleaner
CLIPCleaner: Cleaning Noisy Labels with CLIP
Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
ACM MM 2024
NoiseBox
NoiseBox: Towards More Efficient and Effective Learning with Noisy Labels
Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
IEEE TCSVT 2024
LAFS
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
Zhonglin Sun, Chen Feng, Ioannis Patras, Georgios Tzimiropoulos
CVPR 2024
View Full Publication List on Google Scholar 前往 Google Scholar 查看完整论文

Academic Services学术服务

Programme Committee / Reviewer: 程序委员会委员 / 审稿人:
ICML, CVPR, NeurIPS, AAAI, ICLR, ICCV, ECCV, AISTATS, BMVC, ACCV, ICPR, COLM

Journal Reviewer: 期刊审稿人:
IEEE TPAMI, IJCV, IEEE TNNLS, IEEE TCSVT, Image and Vision Computing

Chair & Organizer: 研讨会主席与组织者:
BMVA Symposium on AI Security, ICIRA 2024 Special Session

Memberships: 学术组织成员:
ACM, IEEE, The Computer Vision Foundation (CVF), BMVA