A novel cascade binary tagging framework for relational triple extraction Z Wei, J Su, Y Wang, Y Tian, Y Chang arXiv preprint arXiv:1909.03227, 2019 | 518 | 2019 |
Graphlime: Local interpretable model explanations for graph neural networks Q Huang, M Yamada, Y Tian, D Singh, Y Chang IEEE Transactions on Knowledge and Data Engineering 35 (7), 6968-6972, 2022 | 376 | 2022 |
Learning signed network embedding via graph attention Y Li, Y Tian, J Zhang, Y Chang Proceedings of the AAAI conference on artificial intelligence 34 (04), 4772-4779, 2020 | 94 | 2020 |
Using prior knowledge to guide bert’s attention in semantic textual matching tasks T Xia, Y Wang, Y Tian, Y Chang Proceedings of the web conference 2021, 2466-2475, 2021 | 43 | 2021 |
Systematic analyses of glutamine and glutamate metabolisms across different cancer types Y Tian, W Du, S Cao, Y Wu, N Dong, Y Wang, Y Xu Chinese Journal of Cancer 36, 1-14, 2017 | 30 | 2017 |
Using machine learning to measure relatedness between genes: a multi-features model Y Wang, S Yang, J Zhao, W Du, Y Liang, C Wang, F Zhou, Y Tian, Q Ma Scientific reports 9 (1), 4192, 2019 | 29 | 2019 |
A computational method for prediction of saliva-secretory proteins and its application to identification of head and neck cancer biomarkers for salivary diagnosis Y Sun, W Du, C Zhou, Y Zhou, Z Cao, Y Tian, Y Wang IEEE Transactions on Nanobioscience 14 (2), 167-174, 2015 | 22 | 2015 |
A novel hierarchical binary tagging framework for joint extraction of entities and relations Z Wei, J Su, Y Wang, Y Tian, Y Chang arXiv preprint arXiv:1909.03227, 2019 | 21 | 2019 |
ToHRE: A top-down classification strategy with hierarchical bag representation for distantly supervised relation extraction E Yu, W Han, Y Tian, Y Chang Proceedings of the 28th international conference on computational …, 2020 | 20 | 2020 |
NCResNet: noncoding ribonucleic acid prediction based on a deep resident network of ribonucleic acid sequences S Yang, Y Wang, S Zhang, X Hu, Q Ma, Y Tian Frontiers in genetics 11, 90, 2020 | 16 | 2020 |
Pancreatic cancer biomarker detection by two support vector strategies for recursive feature elimination Y Wang, K Liu, Q Ma, Y Tan, W Du, Y Lv, Y Tian, H Wang Biomarkers in medicine 13 (2), 105-121, 2019 | 16 | 2019 |
Unsupervised nonlinear feature selection from high-dimensional signed networks Q Huang, T Xia, H Sun, M Yamada, Y Chang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4182-4189, 2020 | 11 | 2020 |
Dynamic routing transformer network for multimodal sarcasm detection Y Tian, N Xu, R Zhang, W Mao Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 10 | 2023 |
BERT pre-trained language model for defective text classification of power grid equipment [J] Y Tian, Y Yuan, HB Liu, ZB Man, CL Mao Journal of Nanjing University of Science and Technolog 44 (4), 446-453, 2020 | 9 | 2020 |
The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning T Song, Y Wang, W Du, S Cao, Y Tian, Y Liang Journal of Bioinformatics and Computational Biology 15 (01), 1650037, 2017 | 9 | 2017 |
Handling inter-class and intra-class imbalance in class-imbalanced learning Z Liu, P Wei, Z Wei, B Yu, J Jiang, W Cao, J Bian, Y Chang arXiv preprint arXiv:2111.12791, 2021 | 8 | 2021 |
Few-shot relation classification using clustering-based prototype modification M Wen, T Xia, B Liao, Y Tian Knowledge-Based Systems 268, 110477, 2023 | 7 | 2023 |
Measurement of conditional relatedness between genes using fully convolutional neural network Y Wang, S Zhang, L Yang, S Yang, Y Tian, Q Ma Frontiers in Genetics 10, 1009, 2019 | 7 | 2019 |
Joint extraction of entities and relations with a hierarchical multi-task tagging model Z Wei, Y Jia, Y Tian, MJ Hosseini, M Steedman, Y Chang CoRR, 2019 | 5 | 2019 |
Parallel gravitation field algorithm based on the CUDA platform G Rong, G Liu, M Zheng, A Sun, Y Tian, H Wang | 5 | 2013 |