Chen, Lydia Y.

12 publications

ECML-PKDD 2025 BatMan-CLR: Making Few-Shots Meta-Learners Resilient Against Label Noise Jeroen M. Galjaard, Robert Birke, Juan F. Pérez, Lydia Y. Chen

NeurIPS 2025 Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks Roberto Gheda, Abele Mălan, Thiago Guzella, Carlo Lancia, Robert Birke, Lydia Y. Chen

ECML-PKDD 2025 Federated Time Series Generation on Feature and Temporally Misaligned Data Zhi Wen Soi, Chenrui Fan, Aditya Shankar, Abel Malan, Lydia Y. Chen

ECML-PKDD 2025 Single-Fold Distillation for Diffusion Models Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen

ICLR 2025 TabWak: A Watermark for Tabular Diffusion Models Chaoyi Zhu, Jiayi Tang, Jeroen M. Galjaard, Pin-Yu Chen, Robert Birke, Cornelis Bos, Lydia Y. Chen

NeurIPS 2025 TimeWak: Temporal Chained-Hashing Watermark for Time Series Data Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad, Aditya Shankar, Jeroen M. Galjaard, Huijuan Wang, Lydia Y. Chen

ECML-PKDD 2023 Exploring and Exploiting Data-Free Model Stealing Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen

ICML 2023 LeadFL: Client Self-Defense Against Model Poisoning in Federated Learning Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen

ACML 2022 Multi Label Loss Correction Against Missing and Corrupted Labels Amirmasoud Ghiassi, Robert Birke, Lydia.Y Chen

ACML 2022 Trusted Loss Correction for Noisy Multi-Label Learning Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia.Y Chen

ACML 2021 CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen

ACML 2021 QActor: Active Learning on Noisy Labels Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y Chen