Publications | Robust Machine Learning and AI Safety

ViewSAM: Learning View-aware Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking

J. Ge, X. Zhang, J. Cao, B. Liu, F. Deuser, C. Liu, W. Gong, S. Li, J. Shao, W. Wu, Chen Feng, and I. Patras

Conference on Neural Information Processing Systems (NeurIPS), 2026

AGraphHF: Adversarial Graph-based Multimodal Learning for Heart Failure Risk Prediction

T. H. Mamo, M. Hasanuzzaman, H. Wang, Chen Feng, and P. Lio

Artificial Intelligence in Medicine (AIIM), 2026

DOI

Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis

Chen Feng, Z. Zhi, Z. Huang, J. Ge, L. Xiao, N. Sebe, G. Tzimiropoulos, and I. Patras

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

First author

arXiv

Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges

Chen Feng, M. Shen, A. Balashankar, C. Gerner-Beuerle, and M. R. D. Rodrigues

International Conference on Learning Representations (ICLR), 2026

Co-first author

OpenReview

Beyond Training for Cultural Awareness: The Role of Dataset Linguistic Structure in Large Language Models

R. I. Masoud, Chen Feng, S. Asano, S. Alshahrani, P. C. Treleaven, and M. R. D. Rodrigues

ICLR 2026 Workshop on Navigating and Addressing Data Problems for Foundation Models

OpenReview

TFAR: A Training-Free Framework for Autonomous Reliable Reasoning in Visual Question Answering

Z. Zhi, Chen Feng, A. Daneshmend, M. Orlu, A. Demosthenous, L. Yin, D. Li, Z. Liu, and M. R. D. Rodrigues

Transactions on Machine Learning Research (TMLR), 2025

OpenReview

Unveiling Open-Set Noise: Theoretical Insights into Label Noise

Chen Feng, N. Sebe, G. Tzimiropoulos, M. R. D. Rodrigues, and I. Patras

ACM International Conference on Multimedia (ACM MM), 2025

First author

DOI

Gen4Track: A Tuning-free Data Augmentation Framework via Self-correcting Diffusion Model for Vision-Language Tracking

J. Ge, X. Zhang, J. Cao, X. Zhu, W. Liu, Q. Gao, B. Cao, K. Wang, C. Liu, B. Liu, Chen Feng, and I. Patras

ACM International Conference on Multimedia (ACM MM), 2025

DOI

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks

Chen Feng, Z. Liu, Z. Zhi, I. Bogunovic, C. Gerner-Beuerle, and M. R. D. Rodrigues

AAAI Conference on Artificial Intelligence (AAAI), 2025, Oral

First author

DOI

NoiseBox: Towards More Efficient and Effective Learning with Noisy Labels

Chen Feng, G. Tzimiropoulos, and I. Patras

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024

First author

DOI

CLIPCleaner: Cleaning Noisy Labels with CLIP

Chen Feng, G. Tzimiropoulos, and I. Patras

ACM International Conference on Multimedia (ACM MM), 2024

First author

DOI

LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition

Z. Sun, Chen Feng, I. Patras, and G. Tzimiropoulos

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

DOI

Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features

Z. Gao, Chen Feng, and I. Patras

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

DOI

MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset

Chen Feng and I. Patras

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

First author

DOI

SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise

Chen Feng, G. Tzimiropoulos, and I. Patras

British Machine Vision Conference (BMVC), 2022

First author

Paper arXiv

Adaptive Soft Contrastive Learning

Chen Feng and I. Patras

International Conference on Pattern Recognition (ICPR), 2022

First author

DOI