Junyan Ouyang, Siqi Du, Rui Han, Chi Harold Liu, Jianxin Zhao, Xiaoning Wu, Lydia Y. Chen (2026), Adaptive Differential Privacy Noise Injection for Decentralized Federated Learning of Visual Recognition Tasks, In International Journal of Computer Vision Volume 134.

Jeroen M. Galjaard, Robert Birke, Juan F. Pérez, Lydia Y. Chen (2026), BatMan-CLR: Making Few-Shots Meta-learners Resilient Against Label Noise, Rita P. Ribeiro, Carlos Soares, João Gama, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Pedro H. Abreu (Eds.), In Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings p.254-271, Springer.

Abele Mălan, Thiago Guzella, Jérémie Decouchant, Lydia Chen (2026), CCBNet: Confidential Collaborative Bayesian Networks Inference, Christina Garman, Pedro Moreno-Sanchez (Eds.), In Financial Cryptography and Data Security - 29th International Conference, FC 2025, Revised Selected Papers p.383-400, Springer.

Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen (2026), ConvertNet: Training-time Model Scaling for In-vehicle Continuous Learning, In IEEE Transactions on Mobile Computing Volume 25 p.10438-10454.

Zhi Wen Soi, Chenrui Fan, Aditya Shankar, Abel Malan, Lydia Y. Chen (2026), Federated Time Series Generation on Feature and Temporally Misaligned Data, Rita P. Ribeiro, Alípio M. Jorge, Carlos Soares, João Gama, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Pedro H. Abreu (Eds.), In Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings p.384-399, Springer.

Lydia Y. Chen, Miguel P. Correia (2026), Message from the Program Chairs DSN 2026, In 2026 56th Annual IEEE International Conference on Dependable Systems and Networks (DSN) p.xvii-xviii.

Chi Hong, Jiyue Huang, Robert Birke, Dick Epema, Stefanie Roos, Lydia Y. Chen (2026), Single-Fold Distillation for Diffusion Models, Rita P. Ribeiro, Alípio M. Jorge, Carlos Soares, João Gama, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Pedro H. Abreu (Eds.), In Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings p.173-189, Springer.

Yidong Xu, Rui Han, Xiaojiang Zuo, Junyan Ouyang, Chi Harold Liu, Lydia Y. Chen (2025), Adaptive ensemble optimization for memory-related hyperparameters in retraining DNN at edge, In Future Generation Computer Systems Volume 164.

Chi Hong, Jiyue Huang, Lydia Chen, Robert Birke (2025), Adversarial Knowledge Extraction via Steering Diffusion Models, Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer (Eds.), In Neural Information Processing - 31st International Conference, ICONIP 2024, Proceedings p.336-350, Springer.

Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Song Guo, Lydia Y. Chen (2025), EdgeTA: Neuron-Grained Scaling of Foundation Models in Edge-Side Retraining, In IEEE Transactions on Mobile Computing Volume 24 p.2690-2707.