| Rethinking multiple instance learning for whole slide image classification: A good instance classifier is all you need L Qu, Y Ma, X Luo, Q Guo, M Wang, Z Song IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 25 | 2024 |
| Mining frequent pyramid patterns from time series transaction data with custom constraints W Wang, J Tian, F Lv, G Xin, Y Ma, B Wang Computers & Security 100, 102088, 2021 | 21 | 2021 |
| Boosting whole slide image classification from the perspectives of distribution, correlation and magnification L Qu, Z Yang, M Duan, Y Ma, S Wang, M Wang, Z Song Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 12 | 2023 |
| ProteinMAE: masked autoencoder for protein surface self-supervised learning M Yuan, A Shen, K Fu, J Guan, Y Ma, Q Qiao, M Wang Bioinformatics 39 (12), btad724, 2023 | 11 | 2023 |
| Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification Y Ma, X Luo, K Fu, M Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14263 …, 2024 | 5 | 2024 |
| Openal: An efficient deep active learning framework for open-set pathology image classification L Qu, Y Ma, Z Yang, M Wang, Z Song International conference on medical image computing and computer-assisted …, 2023 | 4 | 2023 |
| Complementary multi-modality molecular self-supervised learning via non-overlapping masking for property prediction A Shen, M Yuan, Y Ma, J Du, M Wang Briefings in Bioinformatics 25 (4), bbae256, 2024 | 3 | 2024 |
| Ss-pro: A simplified siamese contrastive learning approach for protein surface representation A Shen, M Yuan, Y Ma, M Wang Frontiers of Computer Science 18 (5), 185910, 2024 | 2 | 2024 |
| PGBind: pocket-guided explicit attention learning for protein–ligand docking A Shen, M Yuan, Y Ma, J Du, M Wang Briefings in Bioinformatics 25 (5), bbae455, 2024 | 2 | 2024 |
| ProteinF3S: boosting enzyme function prediction by fusing protein sequence, structure, and surface M Yuan, A Shen, Y Ma, J Du, B An, M Wang Briefings in Bioinformatics 26 (1), bbae695, 2025 | | 2025 |
| Rethinking Multiple Instance Learning: Developing an Instance-Level Classifier via Weakly-Supervised Self-Training Y Ma, X Luo, M Yuan, X Chen, M Wang arXiv preprint arXiv:2408.04813, 2024 | | 2024 |