S3: Supervised Self-supervised Learning under Label Noise. - Chen Feng 028; Georgios Tzimiropoulos; Ioannis Patras (CoRR, 2021)

SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise. - Chen Feng 028; Georgios Tzimiropoulos; Ioannis Patras (BMVC, 2022)

Adaptive Soft Contrastive Learning. - Chen Feng 028; Ioannis Patras (ICPR, 2022)

MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset. - Chen Feng 028; Ioannis Patras (CVPR, 2023)

LAFS: Landmark-Based Facial Self-Supervised Learning for Face Recognition. - Zhonglin Sun; Chen Feng 028; Ioannis Patras; Georgios Tzimiropoulos (CVPR, 2024)

CLIPCleaner: Cleaning Noisy Labels with CLIP. - Chen Feng 028; Georgios Tzimiropoulos; Ioannis Patras (ACM Multimedia, 2024)

Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features. - Zheng Gao 003; Chen Feng 028; Ioannis Patras (WACV, 2024)

NoiseBox: Toward More Efficient and Effective Learning With Noisy Labels. - Chen Feng 028; Georgios Tzimiropoulos; Ioannis Patras (IEEE Trans. Circuits Syst. Video Technol., 2024)

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. - Chen Feng 028; Ziquan Liu; Zhuo Zhi; Ilija Bogunovic; Carsten Gerner-Beuerle; Miguel Rodrigues 001 (AAAI, 2025)

Gen4Track: A Tuning-free Data Augmentation Framework via Self-correcting Diffusion Model for Vision-Language Tracking. - Jiawei Ge 002; Xinyu Zhang 027; Jiuxin Cao; Xuelin Zhu; Weijia Liu; Qingqing Gao; Biwei Cao; Kun Wang 057; Chang Liu 113; Bo Liu 004; Chen Feng 028; Ioannis Patras (ACM Multimedia, 2025)

Unveiling Open-set Noise: Theoretical Insights into Label Noise. - Chen Feng 028; Nicu Sebe; Georgios Tzimiropoulos; Miguel R. D. Rodrigues; Ioannis Patras (ACM Multimedia, 2025)

TFAR: A Training-Free Framework for Autonomous Reliable Reasoning in Visual Question Answering. - Zhuo Zhi; Chen Feng 028; Adam Daneshmend; Mine Orlu; Andreas Demosthenous; Lu Yin; Da Li; Ziquan Liu; Miguel R. D. Rodrigues (Trans. Mach. Learn. Res., 2025)

Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework. - Zhuo Zhi; Chen Feng 028; Adam Daneshmend; Mine Orlu; Andreas Demosthenous; Lu Yin; Da Li; Ziquan Liu; Miguel R. D. Rodrigues (CoRR, 2025)

D3{ETOR}: Debate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object Detection with Scribble Annotations. - Jiawei Ge 002; Jiuxin Cao; Xinyi Li; Xuelin Zhu; Chang Liu 113; Bo Liu 004; Chen Feng 028; Ioannis Patras (CoRR, 2025)

Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges. - Chen Feng 028; Minghe Shen; Ananth Balashankar; Carsten Gerner-Beuerle; Miguel R. D. Rodrigues (CoRR, 2026)

Beyond Training for Cultural Awareness: The Role of Dataset Linguistic Structure in Large Language Models. - Reem I. Masoud; Chen Feng 028; Shunta Asano; Saied Alshahrani; Philip Colin Treleaven; Miguel R. D. Rodrigues (CoRR, 2026)

Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis. - Chen Feng 028; Zhuo Zhi; Zhao Huang; Jia-Wei Ge 002; Ling Xiao; Nicu Sebe; Georgios Tzimiropoulos; Ioannis Patras (CoRR, 2026)

ViewSAM: Learning View-aware Cross-modal Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking. - Jiawei Ge 002; Xintian Zhang; Jiuxin Cao; Bo Liu 004; Fabian Deuser; Chang Liu 113; Gong Wenkang; Siyou Li; Juexi Shao; Wenqing Wu; Chen Feng 028; Ioannis Patras (CoRR, 2026)