Exploring the Complexities of Dissolved Organic Matter Photochemistry from the Molecular Level by Using Machine Learning Approaches C Zhao, X Xu, H Chen, F Wang, P Li, C He, Q Shi, Y Yi, X Li, S Li, D He Environmental Science & Technology, 2023 | 10 | 2023 |
Hybrid Model for Network Anomaly Detection with Gradient Boosting Decision Trees and Tabtransformer X Xu, X Zheng ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 7 | 2021 |
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation X Xu, Y Hsi, H Wang, X Li International Conference on Neural Information Processing, 272-282, 2023 | 2 | 2023 |
Energy-Based Concept Bottleneck Models X Xu, Y Qin, L Mi, H Wang, X Li The Twelfth International Conference on Learning Representations, 2023 | 1* | 2023 |
Subgraph Frequency Distribution Estimation using Graph Neural Networks Z Chen, X Xu, S Jiang, H Wang, L Mi KDD 2022 Workshop on Deep Learning on Graphs, 2022 | 1 | 2022 |
Classification Models for Medical Data with Interpretative Rules X Xu, X Ding, Z Qin, Y Liu Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 1 | 2021 |