| Removal of artifacts from EEG signals: a review X Jiang, GB Bian, Z Tian Sensors 19 (5), 987, 2019 | 842 | 2019 |
| A graph-based approach for missing sensor data imputation X Jiang, Z Tian, K Li IEEE Sensors Journal 21 (20), 23133-23144, 2021 | 20 | 2021 |
| LaSCA: A visualization analysis tool for microstructure of complex systems Z Tian, Z Zhang, X Jiang, F Wei, S Ping, F Wu Metals 13 (2), 415, 2023 | 12 | 2023 |
| A geometry-enhanced graph neural network for learning the smoothness of glassy dynamics from static structure X Jiang, Z Tian, K Li, W Hu The Journal of Chemical Physics 159 (14), 2023 | 7 | 2023 |
| ML Model Optimization–Selection and GFA Prediction for Binary Alloys J Pan, X Jiang, Z Tian, Y Hu, K Li Crystal Growth & Design 22 (4), 2462-2469, 2022 | 4 | 2022 |
| Cross-modal interaction network for video moment retrieval S Ping, X Jiang, Z Tian, R Cao, W Chi, S Yang International Journal of Pattern Recognition and Artificial Intelligence 37 …, 2023 | 3 | 2023 |
| Machine-learning-accelerated screening of Heusler alloys for nitrogen reduction reaction with graph neural network J Zhou, X Chen, X Jiang, Z Tian, W Hu, B Huang, D Yuan Applied Surface Science, 160519, 2024 | 1 | 2024 |
| Geometry-enhanced graph neural network for glassy dynamics prediction X Jiang, Z Tian, K Li arXiv e-prints, arXiv: 2211.12832, 2022 | 1 | 2022 |
| Enhancing the Prediction of Glass Dynamics by Incorporating the Direction of Deviation from Equilibrium Positions X Jiang, Z Tian, K Li, W Hu arXiv preprint arXiv:2407.06111, 2024 | | 2024 |
| Toward Interpreting the Thermally Activated β Dynamics in Metallic Glass Using the Structural Constraint Neural Network X Jiang, Z Tian, K Li, W Hu The Journal of Physical Chemistry Letters 15 (12), 3238-3248, 2024 | | 2024 |
| Graph neural network with classification accelerating the discovery of Heusler catalysts for nitrogen reduction reaction DW Yuan, J Zhou, X Chen, X Jiang, Z Tian, W Hu, B Huang | | 2023 |
