Since Summer 2017, I have been a Ph.D. student in Department of Computer Science and Engineering (CSE), The Ohio State University (OSU), under the supervision of Prof. Huan Sun. Before joining OSU, I got my B.S. in Communication Engineering from Beijing Univerity of Posts and Telecommunications (BUPT) in 2015.
My research interests lie in AI, NLP, Reinforcement Learning and Deep Learning, particularly: (1) Building Natural Language Interfaces to assist humans with knowledge acquisition and problem solving; (2) Human-Machine/Multi-Agent Interaction, exploring cooperative or adversarial mechanisms and scenarios among humans and machines; (3) Application of Reinforcement Learning and Deep Learning algorithms to interdisciplinary domains, such as Text Mining/NLP + Software Engineering.
- 01/2019: Attended AAAI'19. Gave a spotlight talk and poster demostration for Interactive Semantic Parsing.
- 01/2019: Our work exploring machine collaborations between Code Annotation and Code Retrieval is accepted by WWW'19!
- 10/2018: We built an Interactive Semantic Parser: talk to your parser to resolve NL ambiguities (accepted by AAAI'19)!
- 08/2018: To know more about StaQC? Check out our work "A Comprehensive Study of StaQC for Deep Code Summarization" (accepted by SIGKDD'18 Deep Learning Day)!
- 05/2018: Feeling thrilled to start internship at Microsoft Research @ Redmond this summer!!
- 04/2018: Attended WWW 2018 conference @ Lyon, France and present our work "StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow". Check out the slides and quick StaQC examples!
- 04/2018: Attended CRA Grad Cohort Workshop for Women (CRA-W) @ San Francisco.
- 09/2017: Gave a talk about "Mining Code Answers to Natural Language Questions" at OSU CSE AI seminar.
- Z. Yao, J. R. Peddamail, H. Sun, "CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning", To appear at WWW 2019. (Acceptance rate: 18%)[Paper and Code available soon]
- Z. Yao, X. Li, J. Gao, B. Sadler, H. Sun, "Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning", AAAI 2019. (Acceptance rate: 16.2%) [Paper][Appendix][Slides][Code]
- J. R. Peddamail, Z. Yao, Z. Wang, H. Sun, "A Comprehensive Study of StaQC for Deep Code Summarization", KDD 2018 Deep Learning Day. [Paper][*Update]
- Z. Yao, D. S. Weld, W.P. Chen, H. Sun, "StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow", The Web Conference (former WWW Conference) 2018. (Acceptance rate: 14.8%) [Paper][Slides][Data&Code][Quick examples]
- L. Zhao, M. Huang, Z. Yao, R. Su, Y. Jiang, X. Zhu. "Semi-Supervised Multi-nomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint", AAAI 2016. [Paper]
- Z. Yao, S. Tu, M. Huang, X. Zhu. "A Semi-Supervised Method for Filtering Chinese Spam Tweets". Journal of Chinese Information Processing. 2016, 30(5):176-186. [Paper]
- Travel Grant for CRA Graduate Cohort for Women, San Francisco, 2018.
- Beijing Outstanding Graduate Award, Beijing, 2015.
- First-class Scholarship(top 3%), BUPT, 2012, 2014.
- Second-class Scholarship(top 5%), BUPT, 2013.
- Autumn 2018: Data Management in the Cloud (CSE 3244), guest panelist.
- Spring 2017: Introduction to Computer Programming in C++ (CSE1222), student instructor and grader.
- Reviewer: EMNLP 2018.
- External Reviewer: NAACL 2019, ICDM 2018, ACL 2018, KDD 2017, WWW 2017, CIKM 2016, ICDM 2016.
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