Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen (2021), LABELNET: Recovering Noisy Labels, In IJCNN 2021 - International Joint Conference on Neural Networks, Proceedings, IEEE.

Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen (2021), Masa: Responsive Multi-DNN Inference on the Edge, In 2021 IEEE International Conference on Pervasive Computing and Communications, PerCom 2021, IEEE.

Jeroen Galjaard, Bart Cox, Amirmasoud Ghiassi, Lydia Y. Chen, Robert Birke (2021), MemA: Fast Inference of Multiple Deep Models, In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021 p.281-286, IEEE.

Jin Wang, Hui Han, Hao Li, Shiming He, Pradip Kumar Sharma, Lydia Chen (2021), Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G, In IEEE Transactions on Industrial Informatics Volume 18 p. 1939 - 1948.

Ya Wen Teng, Hsi Wen Chen, De Nian Yang, Yvonne Anne Pignolet, Ting Wei Li, Lydia Chen (2021), On Influencing the Influential: Disparity Seeding, In CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management p.1804-1813, ACM.

Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen (2021), Online label aggregation: A variational bayesian approach, In The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021 p.1904-1915, ACM.

Florin Ciucu, Felix Poloczek, Lydia Y. Chen, Martin Chan (2021), Practical analysis of replication-based systems, In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, IEEE.

Lydia Y. Chen, Robert Birke (2021), Preface, ACM International Conference Proceeding Series p.IV.

Hao Li, Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Chen, Keqin Li (2021), SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition, In IEEE Transactions on Parallel and Distributed Systems Volume 32 p.1828-1841.

Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen (2021), TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise, In Proceedings of the 8th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2021 p.52-62, ACM.