Rui Meng
Ph.D. Candidate
About
I am Rui Meng (孟睿), a Ph.D. candidate at School of Computing and Information, University of Pittsburgh. I am advised by Prof. Daqing He and Prof. Peter Brusilovsky.
Currently, my research focuses on Natural Language Processing and Machine Learning. Especially I am interested in Representation Learning and Language Grounding. Right now I am working on projects about Keyphrase Generation and Text Summarization.
I was an intern at Google Research (2018, 2020), Salesforce Research (2019) and Yahoo! Research (2017).
Prior to my PhD life at Pitt, I received my bachelor and master degree at Wuhan University, and I was advised by Prof. Wei Lu.
Check out my resume/CV for more information.
Publications
You can also check out my Google Scholar page for more publications. (*: Equal Contribution)-
arXiv preprint arXiv:2009.10229 (2020).
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43rd European Conference on Information Retrieval. 2021. (ECIR 2021).
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58th Annual Meeting of the Association for Computational Linguistics. 2020. (ACL 2020).
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Conference on Empirical Methods in Natural Language Processing. 2018. (EMNLP 2018).
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55th Annual Meeting of Association for Computational Linguistics. 2017. (ACL 2017).
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2016 IEEE/WIC/ACM International Conference on Web Intelligence. (WI 2016).
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iConference. 2017.
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iConference. 2017.
Work Experience
- Build lighter BERT models for Mobile Devices
- Mentors: Tomer Levinboim , Nan Ding , Radu Soricut
- Pre-training for text summarization
- Mentors: Wojciech Kryściński , Caiming Xiong
- Recognize user action patterns in mobile search
- Predict user satisfaction and quality of search results
- Mentors: Max Vladymyrov , Qi Guo
- Developed an online evaluation method for large-scale dialogue systems
- Mentors: Zhen Yue , Alyssa Glass