Published in The 20th International Conference on Artificial Intelligence in Medicine (AIME), 2022
Recommended citation: Xiaomin Li, Vangelis Metsis, Huangyingrui Wang, and Anne Hee Hiong Ngu. TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network. The 20th International Conference on Artificial Intelligence in Medicine (AIME), Halifax, Canada, June 2022.
Published in The 18th International Conference on Computing and Information Technology, 2022
Recommended citation: Xiaomin Li, Vangelis Metsis. SPP-EEGNET: An Input-Agnostic Self-supervised EEG Representation Model for Inter-Dataset Transfer Learning, The 18th International Conference on Computing and Information Technology, Kanchanaburi, Thailand, May 2022.
Published in Sustainable Computing: Informatics and Systems, 2021
Recommended citation: Everman, Brad, Narmadha Rajendran, Xiaomin Li, and Ziliang Zong. "Improving the cost efficiency of large-scale cloud systems running hybrid workloads-A case study of Alibaba cluster traces." Sustainable Computing: Informatics and Systems 30 (2021): 100528.
Published in IEEE Transactions on Parallel and Distributed Systems, 2020
Recommended citation: Blakeney, Cody, Xiaomin Li, Yan Yan, and Ziliang Zong. "Parallel blockwise knowledge distillation for deep neural network compression." IEEE Transactions on Parallel and Distributed Systems 32, no. 7 (2020): 1765-1776.
Published in 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom), 2020
Recommended citation: Blakeney, Cody, Xiaomin Li, Yan Yan, and Ziliang Zong. "Craft distillation: Layer-wise convolutional neural network distillation." In 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom), pp. 252-257. IEEE, 2020.
Published in The Resource-Constrained Machine Learning Workshop in conjunction with IEEE Conference on Machine Learning and Systems (MLSys’ 20), 2020
Recommended citation: Li, Xiaomin, Cody Blakeney, and Ziliang Zong. "Transfer Learning with Fine-grained Sparse Networks: From an Efficient Network Perspective." In The Resource-Constrained Machine Learning Workshop in conjunction with IEEE Conference on Machine Learning and Systems (MLSys’ 20). 2020.