Scholar
Bei Chen
Google Scholar ID: Po65v_MAAAAJ
Qwen Team, Alibaba Group
Citations & Impact
Citations
4,198
H-index
26
i10-index
37
Publications
20
Co-authors
11
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - Compositional Generalization by Learning Analytical Expressions (NeurIPS 2020)
- - Incomplete Utterance Rewriting as Semantic Segmentation (EMNLP 2020)
- - “What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL (EMNLP 2020)
- - How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context (IJCAI 2020)
- - RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task (IJCAI 2020)
- - A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data (IJCAI 2020)
- - You Impress Me: Dialogue Generation via Mutual Persona Perception (ACL 2020)
- - A Split-and-Recombine Approach for Follow-up Query Analysis (EMNLP 2019)
- - Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL (EMNLP 2019)
- - Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements (VIS 2019)
- - LambdaOpt: Learn to Regularize Recommender Models in Finer Levels (SIGKDD 2019)
Research Experience
- Currently a senior researcher at Microsoft Research Asia. Joined Microsoft in 2017.
Education
- Received Ph.D. degree from the Department of Computer Science and Technology at Tsinghua University in 2017, supervised by Prof. Bo Zhang and Prof. Jun Zhu; received B.E. degree from the Department of Computer Science and Technology at Harbin Institute of Technology in 2012.
Background
- Research interests include machine learning and its applications in natural language processing and data mining, especially latent feature models, probabilistic graphical models, Bayesian nonparametrics, reinforcement learning, and deep learning.
