| An enhanced LSTM for trend following of time series Y Hu, X Sun, X Nie, Y Li, L Liu IEEE Access 7, 34020-34030, 2019 | 72 | 2019 |
| Federated multi-task learning for joint diagnosis of multiple mental disorders on MRI scans ZA Huang, Y Hu, R Liu, X Xue, Z Zhu, L Song, KC Tan IEEE Transactions on Biomedical Engineering 70 (4), 1137-1149, 2022 | 43 | 2022 |
| Spatial–temporal co-attention learning for diagnosis of mental disorders from resting-state fMRI data R Liu, ZA Huang, Y Hu, Z Zhu, KC Wong, KC Tan IEEE Transactions on Neural Networks and Learning Systems, 2023 | 42 | 2023 |
| Attention-like multimodality fusion with data augmentation for diagnosis of mental disorders using MRI R Liu, ZA Huang, Y Hu, Z Zhu, KC Wong, KC Tan IEEE Transactions on Neural Networks and Learning Systems, 2022 | 28 | 2022 |
| Evolutionary sequential transfer optimization for objective-heterogeneous problems X Xue, C Yang, Y Hu, K Zhang, YM Cheung, L Song, KC Tan IEEE Transactions on Evolutionary Computation 26 (6), 1424-1438, 2021 | 28 | 2021 |
| Source free semi-supervised transfer learning for diagnosis of mental disorders on fmri scans Y Hu, ZA Huang, R Liu, X Xue, X Sun, L Song, KC Tan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 18 | 2023 |
| Model and feature aggregation based federated learning for multi-sensor time series trend following Y Hu, X Sun, Y Chen, Z Lu International Work-Conference on Artificial Neural Networks, 233-246, 2019 | 14 | 2019 |
| Communication efficient federated learning with heterogeneous structured client models Y Hu, X Sun, Y Tian, L Song, KC Tan IEEE Transactions on Emerging Topics in Computational Intelligence 7 (3 …, 2022 | 12 | 2022 |
| Federated learning assisted interactive eda with dual probabilistic models for personalized search Y Chen, X Sun, Y Hu International conference on swarm intelligence, 374-383, 2019 | 10 | 2019 |
| A dual-stage pseudo-labeling method for the diagnosis of mental disorder on MRI scans Y Hu, ZA Huang, R Liu, X Xue, L Song, KC Tan 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 6 | 2022 |
| Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data R Liu, ZA Huang, Y Hu, L Huang, KC Wong, KC Tan IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | 2 | 2024 |
| Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization X Xue, Y Hu, L Feng, K Zhang, L Song, KC Tan IEEE Transactions on Evolutionary Computation, 2024 | | 2024 |
| Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis Y Hu, R Liu, J Zhang, ZA Huang, L Song, KC Tan 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| 基于个性化查询的用户生成多源文本融合 李祯其， 纪南巡 计算器仿真 39 (10), 492-501, 2022 | | 2022 |
Professor Kay Chen TANChair Professor, Dept. of Data Science & Artificial Intelligence, Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk