个人简介

性 别：女 出生年月：1987年6月 教育背景： 北京师范大学学士 北京大学硕士 香港理工大学哲学博士 任职简历： 2017.10 至 2019.02 香港城市大学 博士后 2019.03 至 2019.08 香港理工大学 高级研究员 获奖情况： 2013—2016 UGC资助香港城市大学PhD全奖 2015 香港城市大学DEC优秀课程展示 2010—2011 北京大学康宁奖学金 2009 北京师范大学优秀毕业论文 2008 北京师范大学“京师杯”二等奖 主要科研项目： •PolyU PDF Grant 2019-2020, no. 4ZZKE “How complex can a lie be: the computation of complexity in deceptive languages” •Applied Research Fund 2019-2020 “A Personalized Chinese Conversational Agent in Life Setting: Integrating frame-based semantic model with deep learning” •Strategic Research Grant 2019-2020 “The Frame-based Constructional Approach to Verbal Semantics: Placement Verbs and the Augmentation of Mandarin VerbNet 框架為本,構式為用: 放置動詞及中文動詞語意網的整合” 国际学术交流活动： International Conferences (selected): • Mingyu Wan, et. al. 2019. Sentence Boundary Detection of Financial Data with Domain Knowledge Enhancement and Cross-lingual Training. In Proceedings of The First Workshop on Financial Technology and Natural Language Processing, IJCAI19, pp. 122-129. Macao, China. • Mingyu Wan and Alex Chengyu Fang. 2018. A Re-examination of Syntactic Complexity by Investigating the Internal Structure Variations of Adverbial Clauses across Speech and Writing. In Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation. • Wang, Z., Zhao, J., Wan, M., Li, Y., Shi, D., Hou, D., ... and Li, D. 2013, July. A digitized atomic clock based on transient oscillation of detuned coherent population trapping. In European Frequency and Time Forum & International Frequency Control Symposium (EFTF/IFC), pp. 590-592. (IEEE). Invited talks: • 28 June 2019, Departmental Meeting in Chinese and Bilingual Studies, The Hong Kong Polytechnic University. Topic: “Recent Advances in NLP: miscellaneous classification issues, from SBD, WSD to AGC” • 24 May 2018, Reading Club and AI Lab Knowledge Exchange, National Tsing Hua University, Taiwan Topic: “Mandarin VerbNet: frame-based constructional approach to Mandarin verbal lexicon” • 28 October 2018, 人工智能与语言学的发展高端论坛，East China Normal University, Shang Hai Topic: “Mandarin VerbNet and Two Applicational Case Studies”