| Hashtag recommendation with topical attention-based LSTM Y Li, T Liu, J Jiang, L Zhang Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 107 | 2016 |
| Drug–target interaction predication via multi-channel graph neural networks Y Li, G Qiao, K Wang, G Wang Briefings in Bioinformatics 23 (1), bbab346, 2022 | 58 | 2022 |
| Topical co-attention networks for hashtag recommendation on microblogs Y Li, T Liu, J Hu, J Jiang Neurocomputing 331, 356-365, 2019 | 45 | 2019 |
| Supervised graph co-contrastive learning for drug–target interaction prediction Y Li, G Qiao, X Gao, G Wang Bioinformatics 38 (10), 2847-2854, 2022 | 37 | 2022 |
| Incorporating feature representation into BiLSTM for deceptive review detection W Liu, W Jing, Y Li Computing 102 (3), 701-715, 2020 | 28 | 2020 |
| Evaluating disease similarity based on gene network reconstruction and representation Y Li, W Keqi, G Wang Bioinformatics 37 (20), 3579-3587, 2021 | 21 | 2021 |
| Learning improved semantic representations with tree-structured lstm for hashtag recommendation: An experimental study R Zhu, D Yang, Y Li Information 10 (4), 127, 2019 | 17 | 2019 |
| 微博信息传播预测研究综述 李洋， 陈毅恒， 刘挺 软件学报 27 (2), 247-263, 2016 | 15 | 2016 |
| Self-Attentive Neural Network for Hashtag Recommendation. D Yang, R Zhu, Y Li Journal of Engineering Science & Technology Review 12 (2), 2019 | 13 | 2019 |
| Personalized microtopic recommendation on microblogs Y Li, J Jiang, T Liu, M Qiu, X Sun ACM Transactions on Intelligent Systems and Technology (TIST) 8 (6), 1-21, 2017 | 12 | 2017 |
| End-to-end interpretable disease–gene association prediction Y Li, Z Guo, K Wang, X Gao, G Wang Briefings in bioinformatics 24 (3), bbad118, 2023 | 9 | 2023 |
| Generative data augmentation with contrastive learning for zero-shot stance detection Y Li, J Yuan Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 7 | 2022 |
| BERTtoCNN: Similarity-preserving enhanced knowledge distillation for stance detection Y Li, Y Sun, N Zhu Plos one 16 (9), e0257130, 2021 | 7 | 2021 |
| A joint summarization and pre-trained model for review-based recommendation Y Bai, Y Li, L Wang Information 12 (6), 223, 2021 | 6 | 2021 |
| Personalized microtopic recommendation with rich information Y Li, J Jiang, T Liu, X Sun Social Media Processing: 4th National Conference, SMP 2015, Guangzhou, China …, 2015 | 6 | 2015 |
| Fake news detection in social media based on multi-modal multi-task learning X Cui, L Yang International Journal of Advanced Computer Science and Applications 13 (7), 2022 | 5 | 2022 |
| Inferring user consumption preferences from social media Y Li, J Jiang, T Liu IEICE TRANSACTIONS on Information and Systems 100 (3), 537-545, 2017 | 5 | 2017 |
| Predicting the popularity of messages on micro-blog services Y Li, Y Chen, T Liu, W Deng Social Media Processing: Third National Conference, SMP 2014, Beijing, China …, 2014 | 5 | 2014 |
| Stance detection with knowledge enhanced bert Y Sun, Y Li Artificial Intelligence: First CAAI International Conference, CICAI 2021 …, 2021 | 3 | 2021 |
| KEIC: A tag recommendation framework with knowledge enhancement and interclass correlation L Wang, Y Li, W Jing Information Sciences 645, 119330, 2023 | 2 | 2023 |
Liu TingHarbin Institute of Technology在 ir.hit.edu.cn 的电子邮件经过验证
