Rui Meng

Ph.D. Candidate

Location: Pittsburgh, PA, 15213

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)

An Empirical Study on Neural Keyphrase Generation

Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He

arXiv preprint arXiv:2009.10229 (2020).

[pdf] [code]
Predicting User Engagement Status for Online Evaluation of Intelligent Assistants

Rui Meng, Zhen Yue, Alyssa Glass

43rd European Conference on Information Retrieval. 2021. (ECIR 2021).

[pdf]
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases

Xingdi Yuan*, Tong Wang*, Rui Meng*, Khushboo Thaker, Peter Brusilovsky, Daqing He, Adam Trischler

58th Annual Meeting of the Association for Computational Linguistics. 2020. (ACL 2020).

[pdf] [code] [video]
Integrating transformer and paraphrase rules for sentence simplification

Sanqiang Zhao, Rui Meng, Daqing He, Andi Saptono, Bambang Parmanto

Conference on Empirical Methods in Natural Language Processing. 2018. (EMNLP 2018).

[pdf] [code]
Deep Keyphrase Generation

Rui Meng, Sanqiang Zhao, Shuguang Han, Daqing He, Peter Brusilovsky, Yu Chi

55th Annual Meeting of Association for Computational Linguistics. 2017. (ACL 2017).

[pdf] [code] [slides]
Knowledge-based Content Linking for Online Textbooks

Rui Meng, Shuguang Han, Yun Huang, Daqing He, Peter Brusilovsky

2016 IEEE/WIC/ACM International Conference on Web Intelligence. (WI 2016).

[pdf]
Learning Semantic Representation from Restaurant Reviews: A Study of Yelp Dataset

Sanqiang Zhao, Shuguang Han, Rui Meng, Daqing He, Danchen Zhang

iConference. 2017.

[pdf]
Automatic Classification of Citation Function by New Linguistic Features

Rui Meng, Wei Lu, Yu Chi, Shuguang Han

iConference. 2017.

[pdf]

Work Experience

Google AI

Research Intern

May 2020 - Aug 2020

Build lighter BERT models for Mobile Devices
Mentors: Tomer Levinboim , Nan Ding , Radu Soricut

Salesforce Research

Research Intern

May 2019 - Dec 2019

Pre-training for text summarization
Mentors: Wojciech Kryściński , Caiming Xiong

Google AI

Research Intern

May 2018 - Aug 2018

Recognize user action patterns in mobile search
Predict user satisfaction and quality of search results
Mentors: Max Vladymyrov , Qi Guo

Yahoo Research

Research Intern

May 2017 - Aug 2017

Developed an online evaluation method for large-scale dialogue systems
Mentors: Zhen Yue , Alyssa Glass

Education

University of Pittsburgh

Information Science and Technology - PhD student

Pittsburgh, PA, USA

Sep 2015 - Present

Wuhan University

Management Science and Engineering - Master

Wuhan, Hubei, China

Sep 2012 - Jul 2015

Wuhan University

Information Management and System - Bachelor

Wuhan, Hubei, China

Sep 2008 - Jul 2012

Selected Awards

Amazon Research Awards

Awarded to dissertation study "Transferable, Controllable, Applicable Keyphrase Generation"

Amazon.com

2020

First Prize of National Olympiad in Informatics in Provinces

Awarded to top 1% participants in China for outstanding skills in algorithms and computer programming

China Computer Federation

2008

Resume/CV

Resume CV