| TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network X Li, V Metsis, H Wang, AHH Ngu The 20th International Conference on Artificial Intelligence in Medicine (AIME), 2022 | 138 | 2022 |
| Parallel blockwise knowledge distillation for deep neural network compression C Blakeney, X Li, Y Yan, Z Zong IEEE Transactions on Parallel and Distributed Systems 32 (7), 1765-1776, 2020 | 43 | 2020 |
| Tts-cgan: A transformer time-series conditional gan for biosignal data augmentation X Li, AHH Ngu, V Metsis arXiv preprint arXiv:2206.13676, 2022 | 31 | 2022 |
| Improving the cost efficiency of large-scale cloud systems running hybrid workloads-A case study of Alibaba cluster traces B Everman, N Rajendran, X Li, Z Zong Sustainable Computing: Informatics and Systems 30, 100528, 2021 | 27 | 2021 |
| SPP-EEGNET: An Input-Agnostic Self-supervised EEG Representation Model for Inter-Dataset Transfer Learning X Li, V Metsis Proceedings of the 18th International Conference on Computing and …, 2022 | 9 | 2022 |
| BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis X Li, M Sakevych, G Atkinson, V Metsis Bioengineering 2024, 11(4):299, 2024 | 6 | 2024 |
| Craft distillation: Layer-wise convolutional neural network distillation C Blakeney, X Li, Y Yan, Z Zong 2020 7th IEEE International Conference on Cyber Security and Cloud Computing …, 2020 | 4 | 2020 |
| Conditional Diffusion with Label Smoothing for Data Synthesis from Examples with Noisy Labels G Atkinson, X Li, V Metsis | 1 | 2023 |
| EMOD: Efficient Moving Object Detection via Image Eccentricity Analysis and Sparse Neural Networks X Li, R Nabati, K Singh, E Corona, V Metsis, A Parchami Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 1 | 2023 |
| Generating Realistic Multi-Class Biosignals with BioSGAN: A Transformer-Based Label-Guided Generative Adversarial Network X Li, AHH Ngu, V Metsis 2023 Congress in Computer Science, Computer Engineering, & Applied Computing …, 2023 | | 2023 |
| OBJECT DETECTION P Mostafa, L Xiaomin, C Enrique, S Kunjan US Patent 20,230,177,842, 2023 | | 2023 |
| Transfer Learning with Fine-grained Sparse Networks: From an Efficient Network Perspective X Li, C Blakeney, Z Zong The Resource-Constrained Machine Learning Workshop in conjunction with IEEE …, 2020 | | 2020 |
Vangelis MetsisTexas State University在 txstate.edu 的电子邮件经过验证
