| Self-supervised learning for sleep stage classification with predictive and discriminative contrastive coding Q Xiao, J Wang, J Ye, H Zhang, Y Bu, Y Zhang, H Wu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 31 | 2021 |
| CoSleep: A Multi-View Representation Learning Framework for Self-Supervised Learning of Sleep Stage Classification J Ye, Q Xiao, J Wang, H Zhang, J Deng, Y Lin IEEE Signal Processing Letters 29, 189-193, 2021 | 30 | 2021 |
| Self-adversarial variational autoencoder with spectral residual for time series anomaly detection Y Liu, Y Lin, QF Xiao, G Hu, J Wang Neurocomputing 458, 349-363, 2021 | 17 | 2021 |
| Unsupervised anomaly detection with distillated teacher-student network ensemble Q Xiao, J Wang, Y Lin, W Gongsa, G Hu, M Li, F Wang Entropy 23 (2), 201, 2021 | 10 | 2021 |
| Memory-augmented adversarial autoencoders for multivariate time-series anomaly detection with deep reconstruction and prediction Q Xiao, S Shao, J Wang arXiv preprint arXiv:2110.08306, 2021 | 8 | 2021 |
| Sleeppriorcl: Contrastive representation learning with prior knowledge-based positive mining and adaptive temperature for sleep staging H Zhang, J Wang, Q Xiao, J Deng, Y Lin arXiv preprint arXiv:2110.09966, 2021 | 5 | 2021 |
| Simulation of proton-induced DNA damage patterns using an improved clustering algorithm J Tang, Q Xiao, Z Gui, B Li, P Zhang Radiation Research 194 (4), 363-378, 2020 | 3 | 2020 |
| Study of clustered damage in DNA after proton irradiation based on density-based spatial clustering of applications with noise algorithm J Tang, P Zhang, Q Xiao, J Li, Z Gui Sheng wu yi xue Gong Cheng xue za zhi= Journal of Biomedical Engineering …, 2019 | | 2019 |
