Hi! I am a Ph.D. candidate (expected to graduate in 2018) in the Computer Science Department at Stanford University.
My main research interests lie within deep learning for natural language processing and understanding,
I am fortunately advised by Prof. Christopher Manning and I work in Stanford NLP Group.
Before coming to Stanford, I received my bachelor degree from Special Pilot CS Class supervised
by Prof. Andrew Yao at Tsinghua University in 2012.
and I am particularly interested in the intersection between text understanding and knowledge reasoning.
- A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
[bib] [acl paper] [updated version] [slides]
Danqi Chen, Jason Bolton, Christopher D. Manning.
In ACL 2016 (Outstanding Paper Award).
- Representing Text for Joint Embedding of Text and Knowledge Bases
Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon.
In EMNLP 2015 (oral).
- Bootstrapped Self Training for Knowledge Base Population
Gabor Angeli, Victor Zhong, Danqi Chen, Arun Chaganty, Jason Bolton,
Melvin Johnson Premkumar, Panupong Pasupat, Sonal Gupta, Christopher D. Manning.
In TAC 2015.
Our system ranked 1st place in the CSSF track.
- Observed Versus Latent Features for Knowledge Base and Text Inference
Kristina Toutanova, Danqi Chen.
In Workshop on Continuous Vector Space Models and Their Compositionality (CVSC) 2015 (oral).
- A Fast and Accurate Dependency Parser using Neural Networks
[bib] [paper] [slides] [website & code]
Danqi Chen, Christopher D. Manning.
In EMNLP 2014 (oral).
Our dependency parser is included in Stanford CoreNLP pipeline and Stanford parser (since v3.5.0).
- Reasoning With Neural Tensor Networks for Knowledge Base Completion
[bib] [paper] [poster] [data]
Richard Socher*, Danqi Chen*, Christopher D. Manning, Andrew Ng.
In NIPS 2013. ( *: equal contribution)
- Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors
Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Ng.
In ICLR 2013 (workshop track).
- Beyond Ten Blue Links: Enabling User Click Modeling in Federated Web Search
Danqi Chen, Weizhu Chen, Haixun Wang, Zheng Chen, Qiang Yang.
In WSDM 2012 (plenary presentation).
- Characterizing Inverse Time Dependency in Multi-class Learning
Danqi Chen, Weizhu Chen, Qiang Yang.
In ICDM 2011.
Education / Experience
- 2012.9 - Present: Ph.D. student at Stanford University
- 2008 - 2012: B.Eng from Tsinghua University, Yao Class
- 2010 Fall: Exchange student at Hong Kong University of Science and Technology (HKUST)
- 2014.7 - 2014.9: Research intern at Microsoft Research Redmond, NLP group
- Mentors: Kristina Toutanova, Hoifung Poon, Patrick Pantel, Michael Gamon
- 2011.2 - 2012.5: Research intern at Microsoft Research Asia, ML & WSM group
- Mentors: Weizhu Chen, Haixun Wang
- Head teaching assistant for CS224N: Natural Language Processing (Fall 2015).
- Teaching assistant for Java Program Design and Training, Tsinghua University, 2011
- Lecturer at National Winter Camp in Informatics, 2008-2010
- Tutor for Fundamentals of Programming, Tsinghua University, 2008
- Microsoft Research Graduate Women's Scholarship, 2013-2014
- Outstanding Graduate Award / Undergraduate Dissertation Award, Tsinghua University, 2012
- Top Scholarship for Freshman / Comprehensive Merit Scholarship x 3, Tsinghua University, 2008-2012
- Silver Medal in ACM ICPC World Finals (6th place), 2010
- Gold Medal in International Olympiad in Informatics, 2008
- My name pronounces as "dan-/'chE/" (you may also want to look at this). However, my friends like to call me "CDQ". :-)
- I was born and grew up in Changsha, China.
- I've been studying algorithms and data structure for many years, before my interests turning into AI research.
I wrote some essays in my high school, for example, here and here (in Chinese).
They are known as "plug-like dynamic programming" and "CDQ's divide-and-conquer" nowadays to some Chinese people.
- I do a lot of things in my free time - I eat, travel, do outdoors / workouts, watch movies and read books (extensively).
- Some of my portraits: 1, 2, 3 (thanks to the author Lu Wang).
- I am on Twitter.