代表性学术成果
1. Haonan Wang, Yang Gao*, Yu Bai, Mirella Lapata, Heyan Huang, Exploring Explainable Selection to Control Abstractive Summarization, 35 th AAAI Conference on Artificial Intelligence (AAAI’2021), Virtual conference, Feb. 2-Feb 9, 2021 (CCF A 类, Open source code: https://github.com/Wanghn95/Esca_Code )
2. Yuxiang Zhoua, Lejian Liao, Yang Gao*, Heyan Huang, Extracting salient features from convolutional discriminative filters, Information Sciences, volume 558, May 2021: 265-279. (SCI一区,北理顶级)
3. Yang Gao, Yue Xu, Heyan Huang, Qian Liu, Linjing Wei, Luyang Liu, Jointly Learning Topics in Sentence Embedding for Document Summarization, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol: 32, Issue: 4, 2020: 688 - 699.(CCF A 类, SCI)
4. Yuxiang Zhou, Lejian Liao, Yang Gao*, Heyan Huang, Xiaochi Wei, A Discriminative Convolutional Neural Network with Context-aware Attention, ACM Transactions on Intelligent Systems and Technology (TIST), 2020, Vol.11,No.5. (SCI)
5. Liu, Luyang, Huang, Heyan, Yang Gao, Yongfeng Zhang, Xiaochi Wei, Neural Variational Correlated Topic Modeling, WWW 2019,San Francisco, CA, USA. (CCF A类)
6. Wenbo Wang, Yang Gao*, Heyan Huang, Yuxiang Zhou, Concept Pointer Network for Abstractive Summarization, EMNLP 2019, Hong Kong, China, 2019. (CCF B类, Open source code: https://github.com/wprojectsn/codes)
7. Yang Gao, Yang Wang, Luyang Liu, Yidi Guo, Heyan Huang, Neural Abstractive Summarization Fusing by Global Generative Topics, Neural Computing and Applications, 32(9): 5049-5058 (2020). (SCI 二区, IF: 4.213)
8. Yang Gao, Yue Xu, Yuefeng Li, Pattern-based topics for document modelling in information filtering, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015, 24(6): 1629-1642.(CCF A 类, SCI)
9. Yang Gao, Yuefeng Li, Raymond Y.K., Lau, Yue Xu, Md Abul Bashar, Finding Semantically Valid and Relevant Topics by Association-based Topic Selection Model, ACM Transactions on Intelligent Systems and Technology (TIST), 2017 (SCI)
10. Yang Gao, Wenbo Wang, Qian Liu, Heyan Huang, Yuefeng Li, Extending Embedding Representation by Incorporating Latent Relations, IEEE ACCESS, 2018,6: 52682 - 52690 (SCI二区,IF: 3.557)
11. Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu. Semantic Structure-based Word Embedding by Incorporating Concept Convergence and Word Divergence, AAAI 2018. (CCF A, Open source code: https://github.com/qianliu0708/SENSE).
12. Heyan Huang, Hao Wu, Xiaochi Wei, Yang Gao, Shumin Shi. Mapping Sentences to Concept Transferred Space for Semantic Textual Similarity. Knowledge and Information Systems, 2018 (SCI 三区, IF: 2.247).
13. Qian Liu, Heyan Huang, Yang Gao, Xiaochi Wei, Yuxin Tian, Luyang Liu. Task-oriented Word Embedding for Text Classification, COLING 2018. (CCF B类)
14. Qian Liu, Heyan Huang, Yang Gao*, Ruiying Geng, Leveraging Pattern Associations for Word Embedding Models, The 22nd International Conference on Database Systems for Advanced Applications, DASFAA 2017. (CCF B类)
15. Linjing Wei, Heyan Huang, Yang Gao*, Xiaochi Wei, Aligning Gaussian-Topic with Embedding Network for Summarization Ranking, APWeb-WAIM Joint Conference on Web and Big Data, 2017.(CCF C类)
16. Yang Gao, Yue Xu, Yuefeng Li, A topic based document relevance ranking model, the 23rd International Conference on World Wide Web Companion, WWW 2014.(CCF A类)
17. Md Abul Bashar, Yuefeng Li, Yan Shen, Yang Gao, Wei Huang, Conceptual Annotation of Text Patterns, Computational Intelligence (CI), 2017. (SCI, IF: 1.352)
18. Yang Gao, Yue Xu, Yuefeng Li, Topical Pattern Based Document Modelling and Relevance Ranking, 15th International Conference on Web Information Systems Engineering (WISE), 186-201, 2014.10.12-2014.10.14.(CCF C)
19. Yang Gao, Yue Xu, Yuefeng Li, Bin Liu, A two-stage approach for generating topic models, 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, 221-232, 2013.4.14-2013.4.17.(CCF C)
20. Yidi Guo, Heyan Huang,Yang Gao, Chi Lu, Conceptual Multi-Layer Neural Network Model for Headline Generation, CCL’2017.