| Semi-supervised time series classification model with self-supervised learning L Xi, Z Yun, H Liu, R Wang, X Huang, H Fan Engineering Applications of Artificial Intelligence 116, 105331, 2022 | 35 | 2022 |
| itimes: Investigating semisupervised time series classification via irregular time sampling X Liu, F Zhang, H Liu, H Fan IEEE Transactions on Industrial Informatics 19 (5), 6930-6938, 2022 | 12 | 2022 |
| Unsupervised multimodal domain adversarial network for time series classification L Xi, Y Liang, X Huang, H Liu, A Li Information Sciences 624, 147-164, 2023 | 9 | 2023 |
| Unsupervised dimension-contribution-aware embeddings transformation for anomaly detection L Xi, C Liang, H Liu, A Li Knowledge-Based Systems 262, 110209, 2023 | 7 | 2023 |
| KalmanAE: Deep Embedding Optimized Kalman Filter for Time Series Anomaly Detection X Huang, F Zhang, R Wang, X Lin, H Liu, H Fan IEEE Transactions on Instrumentation and Measurement, 2023 | 4 | 2023 |
| 基于深度对抗学习潜在表示分布的异常检测模型 席亮， 刘涵， 樊好义， 张凤斌 电子学报 49 (7), 1257, 2021 | 4 | 2021 |
| Graph-embedding-inspired article recommendation model L Xi, Q Hu, H Liu Expert Systems with Applications 214, 119100, 2023 | 2 | 2023 |
| Adaptive-Correlation-aware Unsupervised Deep Learning for Anomaly Detection in Cyber-physical Systems L Xi, D Miao, M Li, R Wang, H Liu, X Huang IEEE Transactions on Dependable and Secure Computing, 2023 | 1 | 2023 |
