| Multiple instance learning framework with masked hard instance mining for whole slide image classification W Tang, S Huang, X Zhang, F Zhou, Y Zhang, B Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 51 | 2023 |
| An iteratively optimized patch label inference network for automatic pavement distress detection W Tang, S Huang, Q Zhao, R Li, L Huangfu IEEE Transactions on Intelligent Transportation Systems 23 (7), 8652-8661, 2021 | 51 | 2021 |
| Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology W Tang, F Zhou, S Huang, X Zhu, Y Zhang, B Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 21 | 2024 |
| Weakly supervised patch label inference networks for efficient pavement distress detection and recognition in the wild S Huang, W Tang, G Huang, L Huangfu, D Yang IEEE Transactions on Intelligent Transportation Systems 24 (5), 5216-5228, 2023 | 10 | 2023 |
| Text kernel expansion for real-time scene text detection T He, S Huang, W Tang, B Liu Pattern Analysis and Applications 27 (4), 141, 2024 | 2* | 2024 |
| PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification W Tang, S Huang, X Zhang, L Huangfu Proceedings of the 30th ACM International Conference on Multimedia, 3076-3084, 2022 | 2 | 2022 |
| Efficient pavement distress classification via deep patch soft selective learning and knowledge distillation S Zhang, W Tang, J Wang, S Huang Electronics Letters 58 (18), 693-695, 2022 | 2 | 2022 |
| SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification H Fang, S Huang, W Tang, L Huangfu, B Liu Proceedings of the 32nd ACM International Conference on Multimedia, 6083-6092, 2024 | | 2024 |
| Anchor-based discriminative dual distribution calibration for transductive zero-shot learning Y Zhang, S Huang, W Yang, W Tang, X Zhang, D Yang Image and Vision Computing 137, 104772, 2023 | | 2023 |
| Towards glimpsing optimizer in deep learning: from SGD to Lookahead to the future W Tang | | |
Sheng HuangSchool of Big Data and Software Engineering, Chongqing UniversityVerified email at cqu.edu.cn
