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, Association for Computing Machinery (ACM).

Rajiv Ranjan, Lydia Y. Chen, Prem Prakash Jayaraman, Albert Y. Zomaya (2020), A note on advances in scheduling algorithms for Cyber-Physical-Social workflows, Future Generation Computer Systems Volume 108 p.1027-1029.

Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Boucchenak, Lydia Y. Chen, Stefanie Roos (2020), An Exploratory Analysis on Users' Contributions in Federated Learning, In Proceedings - 2020 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020 p.20-29, IEEE.

Nur Zincir-Heywood, Giuliano Casale, David Carrera, Lydia Y. Chen, Amogh Dhamdhere, Takeru Inoue, Hanan Lutfiyya, Taghrid Samak (2020), Guest Editorial: Special Section on Data Analytics and Machine Learning for Network and Service Management-Part i, In IEEE Transactions on Network and Service Management p.1971-1974.

Rajiv Ranjan, Ching-Hsien Hsu, Lydia Y. Chen, Dimitrios Georgakopoulos (2020), Holistic Technologies for Managing Internet of Things Services, In IEEE Transactions on Services Computing Volume 13 p.597-601.

Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni (2020), Pipetune: Pipeline parallelism of hyper and system parameters tuning for deep learning clusters, In Middleware 2020 p.89-104, Association for Computing Machinery (ACM).

Bingqian Lu, Jianyi Yang, Lydia Y. Chen, Shaolei Ren (2019), Automating Deep Neural Network Model Selection for Edge Inference, C. Ceballos (Eds.), In 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI) p.184-193, IEEE.

Robert Birke, Juan F. Perez, Sonia Ben Mokhtar, Navaneeth Rameshan, Lydia Y. Chen (2019), Chisel: Reshaping Queries to Trim Latency in Key-Value Stores, In Proceedings - 2019 IEEE International Conference on Autonomic Computing, ICAC 2019 p.42-51, IEEE.