李洋

代表性论文：

1. Yang Li*, Yiheng Chen, Ting Liu, Wenchao Deng. Predicting the popularity of messages on micro-blog services. In: SMP 2014, Volum 489, Pages 44–54, Springer Press, 2014. (EI 检索)

2. Yang Li, Jing Jiang, Ting Liu, Xiaofei Sun. Personalized Microtopic Recommendation with Rich Information. In: SMP 2015, vol. 586, pp. 1-14. Springer Press, Guangzhou (2015). 最佳论文奖

3. Yang Li, Yiheng Chen, Ting Liu. Survey on Predicting Information Propagation in Microblogs. (in Chinese). Journal of Software (2016,27(2):247−263)《软件学报》

4. Yang Li, Ting Liu, Jing Jiang, Liang Zhang. Hashtag Recommendation with Topical Attention based LSTM. In: COLING 2016, oral paper. pages 3019–3029

5. Yang Li, Jing Jiang, Ting Liu, Minghui Qiu, Xiaofei Sun. Personalized Microtopic Recommendation on Microblogs. ACM Transactions on Intelligent Systems and Technology (ACM TIST),(2017,86:77)

6. Yang Li, Jing Jiang, Ting Liu. Inferring User Consumption Preferences from Social Media. IEICE TRANSACTIONS on Information and Systems.(2017 , 100 (3) :537-545)

7. Yang Li, Ting Liu, Jingwen Hu, Jing Jiang. Topical Co-Attention Networks for Hashtag Recommendation on microblogs. Neurocomputing. 2019. vol 331,pp 356-365

8. Mingyang Wang*, Dongtian Leng, Yang Li and Xiangrong Zhang. A Laplace transfer-based citation model and its application in detecting the obsolescence characteristics of articles. CURRENT SCIENCE, Volume 116, Issue 10, 2019. (JCR 三区，SCI检索，IF =0.756)

9. Zhu, Rui, Delu Yang, and Yang Li*. "Learning improved semantic representations with tree-structured lstm for hashtag recommendation: An experimental study." Information 10.4 (2019): 127. (EI 检索)

10.  Yang Li, Yuqing Sun and Weipeng Jing*, “Survey of Text Stance Detection,” Journal of Computer Research and Development, Volume 58, Issue 11, Pages 2538-2557, 2020.5. 《计算机研究与发展》

11. Yang Li, Keqi Wang and Guohua Wang*, Evaluating Disease Similarity Based on Gene Network Reconstruction and Representation, Bioinformatics, Volume 37, Issue 20, Pages 3579–3587, 2021.3. (CCF B 类期刊) (SCI, JCR 一区, IF=6.931)

12. Yi Bai, Yang Li* and Letian Wang. A Joint Summarization and Pre-Trained Model for Review-Based Recommendation. Information. Volume 12, Issue 6, Pages 223-223, 2021.05. (EI 期刊)

13. Yuqing Sun and Yang Li*, Stance Detection with Knowledge Enhanced BERT, CAAI International Conference on Artificial Intelligence, Pages 239-250, 2021.06. (Oral Presentation, 12% acceptence) 

14. Wentao Liu, Weipeng Jing, Yang Li. Incorporating feature representation into BiLSTM for deceptive review detection. Computing, Voulume 102, Issue 3, Pages 701-715, 2021.06. (JCR二区，SCI检索，IF=2.063)

15. Yang Li, Guanyu Qiao, Keqi Wang and Guohua Wang*, Drug-target Interaction Predication via Multichannel Graph Neural Networks, Briefings in Bioinformatics, Volume 23, Issue 1, bbab346, 2021.09. (CCF B 类期刊) (SCI, JCR 一区, IF=13.994)

16. Yang Li*, Yuqing Sun and Nana Zhu, BERTtoCNN: Similarity-Preserving Enhanced Knowledge Distillation for Stance Detection, PLoS ONE, 16(9): e0257130, 2021.09. (SCI, JCR 二区, IF=3.752)

17. Yang Li, Guanyu Qiao and Guohua Wang*, Supervised Graph Co-contrastive Learning for Drug– Target Interaction Prediction, Bioinformatics, Volume 38, Issue 10, Pages 2847-2854, 2022.03. (CCF B 类期刊) (SCI, JCR 一区, IF=6.931)

18. Yang Li*, Jiawei Yuan. Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance Detection. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing（EMNLP2022）. (长文，主会，清华大学A类、CCF B类推荐国际会议)

19. Yang Li*, Rui Qi, Heterogeneous Graph Contrastive Learning for Stance Prediction, IEICE Transactions on Information and Systems, Volume E105-D, Issue 10, 2022.10. (SCI, IF=0.695)

20. Xinyu Cui and Yang Li*, Fake News Detection in Social Media based on Multi-Modal Multi-Task Learning, International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13, Issue 7, 2022. (EI 期刊)

21. Yang Li, Zihou Guo, Keqi Wang , Xin Gao, Guohua Wang*. End-to-end interpretable disease–gene association prediction, Briefings in Bioinformatics, Volume24, Issue3, 2023.3. (JCR 一区，SCI 检索，IF=13.994)

22. Letian Wang, Li Yang*. KEIC: A Tag Recommendation Framework with Knowledge Enhancement and Interclass Correlation. Information Sciences, 2023: 119330. (SCI，中科院一区，IF=8.1)

23. Yang Li*, Jianing Xu. Graph Pruning and Representation Learning for Stance Detection. 2023 International Joint Conference on Neural Networks (IJCNN). IEEE, Pages 1-8, 2023. (CCF C类国际会议)

24. Li, Yang, et al. MMCL-CDR: enhancing cancer drug response prediction with multi-omics and morphology images contrastive representation learning. Bioinformatics. 39.12 (2023): btad734.(CCF B 类期刊) (SCI, JCR 一区, IF=6.931)

项目资助：

1. 2019.01-2021.12:基于用户**和主题**的社会媒体信息推荐研究，国家自然科学基金青年项目

2. 2023.01-2026.12: 数据与知识***社会媒体文本立场分析技术研究，国家自然科学基金面上项目

3. 2018.07-2021.07:基于**兴趣建模的社会媒体信息推荐方法研究，黑龙江省自然科学基金面上项目

4. 2023.7-2026.7:低资源场景下的***检测关键技术研究，黑龙江省自然科学基金优秀青年项目 

5. 2018.05-2021.05:基于表示**的微博用户标签推荐方法研究，中央高校创新科研项目