Rui Meng
About
I am Rui Meng (孟睿), currently a research scientist at Google AI Research. My core interest lies in exploring the meaning and mechanisms of intelligence. In practice, my research primarily focuses on language grounding and representation learning. Before joining Google, I was a research scientist at Salesforce Research.
I obtained my Ph.D. from the School of Computing and Information, University of Pittsburgh and I was advised by Prof. Daqing He and Prof. Peter Brusilovsky. Prior to my Ph.D. life at Pitt, I received my bachelor and master degree at Wuhan University, and I was advised by Prof. Wei Lu. I interned at Google Research (2018, 2020), Salesforce Research (2019) and Yahoo! Research (2017).
Check out my resume for more information.
Publications
You can also check out my Google Scholar page for all my publications. (*: Equal Contribution)-
ICLR 2024
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ICLR 2024
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59th Annual Meeting of the Association for Computational Linguistics. 2021. (ACL 2021).
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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).
Work Experience
- Build and work with the best AI.
- Work with: Jinsung Yoon , Tomas Pfister
- Build multi-task, multi-lingual, multi-modality embedding models to empower LLMs.
- Work with: Semih Yavuz , Yingbo Zhou , Caiming Xiong
- Build lighter BERT models for Mobile Devices
- Work with: Tomer Levinboim , Nan Ding , Radu Soricut
- Pre-training for text summarization
- Work with: Wojciech Kryściński , Caiming Xiong
- Recognize user action patterns in mobile search
- Predict user satisfaction and quality of search results
- Work with: Max Vladymyrov , Qi Guo
- Developed an online evaluation method for large-scale dialogue systems
- Work with: Zhen Yue , Alyssa Glass