个人简历
个人信息 2015.2-2015.9, 澳大利亚昆士兰科技大学博士后; 2014.12-2015.2, 澳大利亚昆士兰科技大学助理研究员; 2011-2015，澳大利亚昆士兰科技大学数据科学专业； 2005-2011，太原理工大学信息工程学院，获学士/硕士学位; 高扬，副教授，硕士生导师，博士；主要从事语义深度理解与分析的研究，研究并利用包括深度学习计算、强化学习，促进信息检索与挖掘以及文本摘要与智能问答等新型系统应用；在语义表示和主题建模方面有丰富的学术经验。发表国际期刊会议高水平论文20余篇，包括 IEEE TKDE, AAAI, ACM TIST, WWW, EMNLP, COLING ， DASFAA, Knowledge and Information Systems, IEEE ACCESS 等。担任国际顶级期刊 Knowledge-Based Systems ， IEEE Transactions on Cybernetics ， SCIENCE CHINA Information Sciences 等顶级期刊评审人，曾多次评审国际会议论文，包括 AAAI’17(CCF A), CIKM’15/16(CCF B), KDD’16/17(CCF A), ICDM’17(CCF B), IJCAI’17(CCF A) 等；担任 AAAI'2018 ， WPSM2016/2017 ， ICBK 2017 等会议程序委员会委员。作为参与人获得中国电子学会科技进步奖一等奖。CIPS青工委委员，CCF/ ACM/IEEE会员。与昆士兰科技大学，爱丁堡大学，悉尼科技大学有良好的交流和合作。指导学生就业于头条、百度、滴滴、360、中科院信工所、银行等
研究领域
1. 深度学习计算 2. 表示学习与信息抽取 3. 数据驱动的文本生成 4. 强化学习 5. 变分自编码网络"承担科研情况 主持项目： 1. 国家自然科学基金青年项目
近期论文
代表性学术成果 1. 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), 2019, In Press.（CCF A 类） 2. Liu, Luyang, Huang, Heyan, Yang Gao, Yongfeng Zhang, Xiaochi Wei, Neural Variational Correlated Topic Modeling, WWW 2019，San Francisco, CA, USA. (CCF A类) 3. 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） 4. 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) 5. Yang Gao, Yang Wang, Luyang Liu, Yidi Guo, Heyan Huang, Neural Abstractive Summarization Fusing by Global Generative Topics, Neural Computing and Applications, 2019, In Press. (SCI 二区, IF: 4.213) 6. 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二区, IF: 3.19 ) 7. 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) 8. 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). 9. 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). 10. Qian Liu, Heyan Huang, Yang Gao, Xiaochi Wei, Yuxin Tian, Luyang Liu. Task-oriented Word Embedding for Text Classification, COLING 2018. (CCF B类) 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) 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) 13. 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) 14. Md Abul Bashar, Yuefeng Li, Yan Shen, Yang Gao, Wei Huang, Conceptual Annotation of Text Patterns, Computational Intelligence (CI), 2017. (SCI, IF: 1.352) 15. 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） 16. 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） 17. Yidi Guo, Heyan Huang, Yang Gao, Chi Lu, Conceptual Multi-Layer Neural Network Model for Headline Generation, CCL’2017. 其他论文： 18. Luyang Liu, Heyan Huang, Yang Gao, Correlated Topic Modelling via Householder Flow, In: Proceedings of SIGIR workshop-EARS2018. 19. Yang Gao, Linjing Wei, Heyan Huang, Qian Liu, Topical Sentence Embedding for Query Focused Document Summarization, In: Proceedings of IJCAI Workshop, 2017 20. Md. Abul Bashar, Yuefeng Li, Yang Gao: A framework for automatic personalised ontology learning. In 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), Omaha, pp. 105-112. 21. Yang Gao, Yue Xu, Yuefeng Li, Pattern-based Topic Models for Information Filtering, 2013 IEEE the 13th International Conference on Data Mining Workshops (ICDMW), 2013. 22. Yutong Wu, Yang Gao, Yufeng Li, Yue Xu, Mining Topical Relevant Patterns for Multi-document Summarization, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology(WI-IAT), 2015. 23. Yang Gao, Yue Xu, Yuefeng Li, Weighted Query Expansion based on Topical Patterns for Information Retrieval, The 4th Australian Data Mining Conference, AusDM’14. 24. Yang Gao, Yue Xu, Yuefeng Li, Pattern-based Topic Models for Information Filtering, 2013 IEEE the 13th International Conference on Data Mining Workshops (ICDMW), 2013.1. 担任国际期刊 Web Intelligence 的编委委员； 2. 担任 CCF A 类国际会议AAAI'2018 的 Program Committee 担任国际会议 WPSM2016/2017 的 Program Committee 担任国际会议 ICBK 2017 的 Program Committee 3. 担任国际顶级期刊 Knowledge-Based Systems, IEEE Transactions on Cybernetics 的评审人； 担任国内核心期刊“计算机研究与发展”的评审人； SCIENCE CHINA Information Sciences评审人； 5. 担任国家自然科学基金评审人； 6. CIPS青工委委员。 7. 曾多次担任国际会议论文评审人，包括 CIKM, AAAI, KDD, ICDM, IJCAI 等 8. CCF/IEEE/ACM 会员
