| DLPAlign: A Deep Learning based Progressive Alignment Method for Multiple Protein Sequences M Kuang, Y Liu, L Gao Proceedings of the 11th International Conference on Computational Systems …, 2020 | 7* | 2020 |
| Efficient Two-stage Label Noise Reduction for Retrieval-based Tasks M Kuang, W Wang, Z Chen, L Kang, Q Yan Proceedings of the 15th ACM International Conference on Web Search and Data …, 2022 | 3 | 2022 |
| Three-dimensional embedded attentive RNN (3D-EAR) segmentor for left ventricle delineation from myocardial velocity mapping M Kuang, Y Wu, D Alonso-Álvarez, D Firmin, J Keegan, P Gatehouse, ... International Conference on Functional Imaging and Modeling of the Heart, 55-62, 2021 | 2 | 2021 |
| Generalized deep learning-based proximal gradient descent for mr reconstruction G Luo, M Kuang, P Cao International Conference on Artificial Intelligence in Medicine, 239-244, 2023 | 1 | 2023 |
| Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval M Kuang, Z Chen, W Wang, L Kang, Q Yan, M Tang, P Hao Pacific-Asia Conference on Knowledge Discovery and Data Mining, 86-98, 2023 | | 2023 |
| MLProbs: A Data-Centric Pipeline for Better Multiple Sequence Alignment M Kuang, Y Zhang, TW Lam, HF Ting IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (1 …, 2022 | | 2022 |
| A data-centric pipeline using convolutional neural network to select better multiple sequence alignment method M Kuang, H Ting Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020 | | 2020 |
| Data-centric approaches for better multiple sequence alignment M Kuang HKU Theses Online (HKUTO), 2020 | | 2020 |
Lufei GaoThe Hong Kong Polytechnic University在 connect.polyu.hk 的电子邮件经过验证
