| Meta-based self-training and re-weighting for aspect-based sentiment analysis K He, R Mao, T Gong, C Li, E Cambria IEEE Transactions on Affective Computing 14 (3), 1731-1742, 2022 | 81 | 2022 |
| Copner: Contrastive learning with prompt guiding for few-shot named entity recognition Y Huang, K He, Y Wang, X Zhang, T Gong, R Mao, C Li Proceedings of the 29th International conference on computational …, 2022 | 76 | 2022 |
| Virtual prompt pre-training for prototype-based few-shot relation extraction K He, Y Huang, R Mao, T Gong, C Li, E Cambria Expert Systems with Applications 213, 118927, 2023 | 60 | 2023 |
| A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images Z Gao, B Hong, Y Li, X Zhang, J Wu, C Wang, X Zhang, T Gong, Y Zheng, ... Medical Image Analysis 83, 102652, 2023 | 52 | 2023 |
| Robust alternative minimization for matrix completion X Lu, T Gong, P Yan, Y Yuan, X Li IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012 | 41 | 2012 |
| Why curriculum learning & self-paced learning work in big/noisy data: A theoretical perspective T Gong, Q Zhao, D Meng, Z Xu Big Data & Information Analytics 1 (1), 111-127, 2015 | 32 | 2015 |
| A structure-aware hierarchical graph-based multiple instance learning framework for pt staging in histopathological image J Shi, L Tang, Y Li, X Zhang, Z Gao, Y Zheng, C Wang, T Gong, C Li IEEE Transactions on Medical Imaging 42 (10), 3000-3011, 2023 | 24 | 2023 |
| Margin based PU learning T Gong, G Wang, J Ye, Z Xu, M Lin Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 24 | 2018 |
| Semi-supervised pixel contrastive learning framework for tissue segmentation in histopathological image J Shi, T Gong, C Wang, C Li IEEE Journal of Biomedical and Health Informatics 27 (1), 97-108, 2022 | 23 | 2022 |
| Bioie: Biomedical information extraction with multi-head attention enhanced graph convolutional network J Wu, R Zhang, T Gong, Y Liu, C Wang, C Li 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 22 | 2021 |
| Childhood leukemia classification via information bottleneck enhanced hierarchical multi-instance learning Z Gao, A Mao, K Wu, Y Li, L Zhao, X Zhang, J Wu, L Yu, C Xing, T Gong, ... IEEE Transactions on Medical Imaging 42 (8), 2348-2359, 2023 | 21 | 2023 |
| Leveraging multiple types of domain knowledge for safe and effective drug recommendation J Wu, B Qian, Y Li, Z Gao, M Ju, Y Yang, Y Zheng, T Gong, C Li, X Zhang Proceedings of the 31st ACM international conference on information …, 2022 | 20 | 2022 |
| Template-free prompting for few-shot named entity recognition via semantic-enhanced contrastive learning K He, R Mao, Y Huang, T Gong, C Li, E Cambria IEEE transactions on neural networks and learning systems, 2023 | 17 | 2023 |
| Dual attention and patient similarity network for drug recommendation J Wu, Y Dong, Z Gao, T Gong, C Li Bioinformatics 39 (1), btad003, 2023 | 17 | 2023 |
| A precision diagnostic framework of renal cell carcinoma on whole-slide images using deep learning J Wu, R Zhang, T Gong, X Bao, Z Gao, H Zhang, C Wang, C Li 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 16 | 2021 |
| Multi-task additive models for robust estimation and automatic structure discovery Y Wang, H Chen, F Zheng, C Xu, T Gong, Y Chen Advances in Neural Information Processing Systems 33, 11744-11755, 2020 | 15 | 2020 |
| Unsupervised representation learning for tissue segmentation in histopathological images: From global to local contrast Z Gao, C Jia, Y Li, X Zhang, B Hong, J Wu, T Gong, C Wang, D Meng, ... IEEE Transactions on Medical Imaging 41 (12), 3611-3623, 2022 | 14 | 2022 |
| MG-Trans: Multi-scale Graph Transformer with Information Bottleneck for Whole Slide Image Classification J Shi, L Tang, Z Gao, Y Li, C Wang, T Gong, C Li, H Fu IEEE Transactions on Medical Imaging, 2023 | 12 | 2023 |
| ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification J Shi, C Li, T Gong, Y Zheng, H Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 11 | 2024 |
| Learning With -Regularizer Based on Markov Resampling T Gong, B Zou, Z Xu IEEE Transactions on Cybernetics 46 (5), 1189-1201, 2015 | 11 | 2015 |
Zeyu GaoUniversity of CambridgeVerified email at cam.ac.uk