Hi! I am a Ph.D. student in the Computer Science Department at Stanford University (expected to graduate in 2018).
My main research interests lie within deep learning for natural language processing and understanding,
I am advised by Prof. Christopher Manning and work in the 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.
- Reading Wikipedia to Answer Open-Domain Questions
[bib] [paper][arXiv] [code]
Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes.
In ACL 2017.
- Position-aware Attention and Supervised Data Improve Slot Filling
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D. Mannning.
In EMNLP 2017.
- Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese
Yuhao Zhang*, Arun Chaganty*, Ashwin Paranjape*, Danqi Chen*, Jason Bolton*, Peng Qi, Christopher D. Manning.
In TAC 2016.
- A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
[bib] [acl paper] [arXiv] [slides] [code]
Danqi Chen, Jason Bolton, Christopher D. Manning.
In ACL 2016 (Outstanding Paper).
- Representing Text for Joint Embedding of Text and Knowledge Bases
[bib] [paper][FB15k-237 dataset]
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.
- 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)
- 2016.10 - 2016.12: Research intern at Facebook AI Research
- Mentors: Antoine Bordes, Jason Weston
- 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
- Facebook Fellowship, 2017-2019
- Microsoft Research Women’s Fellowship, 2013-2014
- Outstanding Graduate Award, Tsinghua University, 2012
- Outstanding Undergraduate Dissertation Award, Tsinghua University, 2012
- Silver Medal of Yao Award, 2011
- Top Scholarship for Freshman / Comprehensive Merit Scholarship every year, 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 theoreical computer science for many years, before I turned into AI research.
I wrote some articles in high school. Here are two examples: 1 and 2 (in Chinese).
They are known as "plug-like dynamic programming" and "CDQ's divide-and-conquer" nowadays to some Chinese people.
- Whenever I am not doing research, I eat, travel, do outdoors / workouts, watch movies and read books (extensively).
- Some of my portraits: 1, 2, 3 (credit: Lu Wang).
- I am on Twitter.