| Customizing student networks from heterogeneous teachers via adaptive knowledge amalgamation C Shen, M Xue, X Wang, J Song, L Sun, M Song Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 64 | 2019 |
| Protopformer: Concentrating on prototypical parts in vision transformers for interpretable image recognition M Xue, Q Huang, H Zhang, L Cheng, J Song, M Wu, M Song arXiv preprint arXiv:2208.10431, 2022 | 56 | 2022 |
| Meta-attention for vit-backed continual learning M Xue, H Zhang, J Song, M Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 46 | 2022 |
| A survey of deep learning for low-shot object detection Q Huang, H Zhang, M Xue, J Song, M Song ACM Computing Surveys 56 (5), 1-37, 2023 | 26 | 2023 |
| Tree-like decision distillation J Song, H Zhang, X Wang, M Xue, Y Chen, L Sun, D Tao, M Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 24 | 2021 |
| Bootstrapping ViTs: Towards liberating vision transformers from pre-training H Zhang, J Duan, M Xue, J Song, L Sun, M Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 21 | 2022 |
| Evaluation and improvement of interpretability for self-explainable part-prototype networks Q Huang, M Xue, W Huang, H Zhang, J Song, Y Jing, M Song Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 20 | 2023 |
| Knowledge amalgamation for object detection with transformers H Zhang, F Mao, M Xue, G Fang, Z Feng, J Song, M Song IEEE Transactions on Image Processing 32, 2093-2106, 2023 | 15 | 2023 |
| Kdexplainer: A task-oriented attention model for explaining knowledge distillation M Xue, J Song, X Wang, Y Chen, X Wang, M Song arXiv preprint arXiv:2105.04181, 2021 | 15 | 2021 |
| A survey of neural trees H Li, J Song, M Xue, H Zhang, J Ye, L Cheng, M Song arXiv preprint arXiv:2209.03415, 2022 | 12 | 2022 |
| Tree-like branching network for multi-class classification M Xue, J Song, L Sun, M Song Intelligent Computing & Optimization: Proceedings of the 4th International …, 2022 | 7 | 2022 |
| Generalization matters: Loss minima flattening via parameter hybridization for efficient online knowledge distillation T Zhang, M Xue, J Zhang, H Zhang, Y Wang, L Cheng, J Song, M Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Learn decision trees with deep visual primitives M Xue, H Zhang, Q Huang, J Song, M Song Journal of Visual Communication and Image Representation 89, 103682, 2022 | 6 | 2022 |
| Schema Inference for Interpretable Image Classification H Zhang, M Xue, X Liu, K Chen, J Song, M Song International Conference on Learning Representations, 0 | 6* | |
| A survey of neural trees: Co-evolving neural networks and decision trees H Li, J Song, M Xue, H Zhang, M Song IEEE Transactions on Neural Networks and Learning Systems, 2024 | 3 | 2024 |
| Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes Q Huang, M Xue, H Zhang, J Song, M Song arXiv preprint arXiv:2212.05946, 2022 | 2 | 2022 |
| Dataset Ownership Verification in Contrastive Pre-trained Models Y Xie, J Song, M Xue, H Zhang, X Wang, B Hu, G Chen, M Song arXiv preprint arXiv:2502.07276, 2025 | | 2025 |
| LG-CAV: Train Any Concept Activation Vector with Language Guidance Q Huang, J Song, M Xue, H Zhang, B Hu, H Wang, H Jiang, X Wang, ... Advances in Neural Information Processing Systems 37, 39522-39551, 2025 | | 2025 |
| On the Evaluation Consistency of Attribution-Based Explanations J Duan, H Li, H Zhang, H Jiang, M Xue, L Sun, M Song, J Song European Conference on Computer Vision, 206-224, 2024 | | 2024 |
| PruningBench: A Comprehensive Benchmark of Structural Pruning H Li, C Li, M Xue, G Fang, S Zhou, Z Feng, H Wang, Y Wang, L Cheng, ... arXiv preprint arXiv:2406.12315, 2024 | | 2024 |
Song, MingliFull Professor of Computer Science, Zhejiang Universityכתובת אימייל מאומתת בדומיין zju.edu.cn
