Bei Chen     陈蓓 Senior Researcher Microsoft Research Asia No.5 Dan Ling Street Beijing, China, 100080 Email: beichen at microsoft dot com

Biography

I am now a senior researcher at Microsoft Research Asia. I joined Microsoft in 2017 after receiving my Ph.D. degree from TSAIL Group in Department of Computer Science and Technology at Tsinghua University. I was jointly supervised by Prof. Bo Zhang and Prof. Jun Zhu.

Before that, I received the B.E. degree from Department of Computer Science and Technology of Harbin Institute of Technology in 2012.

My research interests are primarily on 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.

Publications

• Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang. Compositional Generalization by Learning Analytical Expressions, In Proc. of the 34th Conference on Neural Information Processing Systems, 2020. (NeurIPS 2020)
• Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang. Incomplete Utterance Rewriting as Semantic Segmentation, In Proc. of the Conference on Empirical Methods in Natural Language Processing, 2020. (EMNLP 2020)
• Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang. “What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL, In Proc. of the Conference on Empirical Methods in Natural Language Processing, 2020. (EMNLP 2020)
• Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang. How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Contex, In Proc. of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020. (IJCAI 2020)
• Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang. RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task, In Proc. of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020. (IJCAI 2020)
• Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong. A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data, In Proc. of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020. (IJCAI 2020)
• Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang. You Impress Me: Dialogue Generation via Mutual Persona Perception, In Proc. of the 58th Annual Meeting of the Association for Computational Linguistics, 2020. (ACL 2020)
• Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang. A Split-and-Recombine Approach for Follow-up Query Analysis, In Proc. of Conference on Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing, Hong Kong, China, 2019. (EMNLP 2019)
• Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou, Zhoujun Li. Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL, In Proc. of Conference on Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing, Hong Kong, China, 2019. (EMNLP 2019)
• Weiwei Cui, Xiaoyu Zhang, Yun Wang, He Huang, Bei Chen, Lei Fang, Haidong Zhang, Jian-Guan Lou, Dongmei Zhang. Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements, In Proc. of IEEE VAST INFOVIS SCIVIS, Vancouver, BC, Canada, 2019. (VIS 2019)
• Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang. LambdaOpt: Learn to Regularize Recommender Models in Finer Levels, In Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Anchorage, AK, USA, 2019. (SIGKDD 2019) [Code]
• Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang. FANDA: A Novel Approach to Perform Follow-up Query Analysis, In Proc. of AAAI Conference on Artificial Intelligence, Honolulu, USA, 2019. (AAAI 2019)
• Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao. Learning-to-Ask: Knowledge Acquisition via 20 Questions, In Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining, London, United Kingdom, 2018. (SIGKDD 2018) [Poster]
• Jun Zhu and Bei Chen. Latent feature models for large-scale link prediction, Big Data Analytics, 2017.
• Jun Zhu, Jiaming Song, and Bei Chen. Max-Margin Nonparametric Latent Feature Models for Link Prediction, arXiv:1602.07428, 2016.
• Bei Chen, Ning Chen, Jun Zhu, Jiaming Song and Bo Zhang. Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation, In Proc. of AAAI Conference on Artificial Intelligence, Phoenix, USA, 2016. (AAAI 2016)
  [Appendix]
• Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou and Bo Zhang. Jointly Modeling Topics and Intents with Global Order Structure, In Proc. of AAAI Conference on Artificial Intelligence, Phoenix, USA, 2016. (AAAI 2016)
• Bei Chen, Ning Chen, Yong Ren, Bo Zhang. Nonparametric Latent Feature Relational Models with Data Augmentation, in International Conference on Machine Learning, Workshop on Divergence Methods for Probabilistic Inference, Beijing, China, 2014.

Experiences

2016.06 - 2016.10	iDST, Large Scale Learning-Analytic Algorithm, Alibaba Cloud Computing, Beijing, China Large-scale machine learning algorithms on distributed platform.
2014.10 - 2015.06	Microsoft Research Asia, Beijing, China Discourse analysis and discover patterns in scientific writing based on topic models. Award: Stars of Tomorrow Internship Program
2014.09	Cross-Modal Interaction in Natural and Artificial Cognitive Systems, Hamburg, Germany Discuss on interdisciplinary research of computer science, cognitive science, psychology and robotics.

Selected Awards

Google Anita Borg Memorial Scholarship: Asia Pacific, 2016

Heilongjiang Provincial Excellent Graduate, 2012

IBM Outstanding Student Scholarship, 2011

Pivot of Merit Student of HIT, 2010

Tencent Technology Excellence Scholarship, 2010

First Prize and Best Women's Team in ACM/ICPC the 4th Northeast China Multi-provincial College Programming Contest, 2010

Second Prize and Best Women's Team in ACM/ICPC the 5th Heilongjiang Province College Programming Contest, 2010

Second Prize and Best Women's Team in ACM/ICPC the 4th Heilongjiang Province College Programming Contest, 2009