Publications

Dingquan Wang, Jason Eisner: Synthetic data made to order: The case of parsing., In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, 2018

Dingquan Wang, Jason Eisner: Surface statistics of an unknown language indicate how to parse it., Transactions of the Association for Computational Linguistics (TACL), 2018, to appear

Dingquan Wang, Jason Eisner: Predicting fine-grained syntactic typology from surface features., Society for Computation in Linguistics (SCiL 2018), 2017

Dingquan Wang, Nanyun Peng and Kevin Duh: A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition, In Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP), Taipei, Taiwan, 2017, Oral presentation

Dingquan Wang, Jason Eisner: Fine-grained prediction of syntactic typology: Discovering latent structure with supervised learning., Transactions of the Association for Computational Linguistics (TACL), 2017, Oral presentation at ACL 2017

Dingquan Wang, Jason Eisner: The Galactic Dependencies treebanks: Getting more data by synthesizing new languages., Transactions of the Association for Computational Linguistics (TACL), 2016, Oral presentation at EMNLP 2016

Ruihua Song, Dingquan Wang, Jian-Yun Nie, Ji-Rong Wen and Yong Yu: Enhancing Web Search with Queries of Equivalent Intents, Information Retrieval Journal, 2016

Dingquan Wang, Rebecca J. Passonneau, Michael Collins and Cynthia Rudin: Modeling Weather Impact on a Secondary Electrical Grid, In Proceedings of the 4th International Conference on Sustainable Energy Information Technology (SEIT-2014)

Boyi Xie, Dingquan Wang and Rebecca J. Passonneau: Semantic Feature Representation to Capture News Impact, In Proceedings of the 27th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014

Weinan Zhang, Dingquan Wang, Gui-Rong Xue and Hongyuan Zha: Advertising Keywords Recommendation for Short-text Web Pages using Wikipedia, ACM Transactions on Intelligent Systems and Technology Vol. 3, No. 2. DOI=10.1145/2089094.2089112

Dingquan Wang, Weinan Zhang, Gui-Rong Xue, and Yong Yu: Deep Classifier for Large Scale Hierarchical Text Classification, In the 1st PASCAL Challenge on Large Scale Hierarchical Text Classification

Teaching

2018 Fall: 601.464/664 Natural Language Processing by Prof. Benjamin Van Durme at Johns Hopkins University

2018 Spring: 601.464/664 Natural Language Processing by Prof. Benjamin Van Durme at Johns Hopkins University

2016 Spring: 600.465 Natural Language Processing by Prof. Jason Eisner at Johns Hopkins University

2014 Fall: 600.465 Natural Language Processing by Prof. Jason Eisner at Johns Hopkins University

2013 Spring: COMS 4772/6772 Advanced Machine Learning by Prof. Tony Jebara at Columbia University

2012 Fall: COMS 4771 Machine Learning by Prof. Tony Jebara at Columbia University

2012 Spring: Mathematics in Computer Science by Prof. John E. Hopcroft at Shanghai Jiao Tong University

2010 Spring: Computer Organization Lab. at Shanghai Jiao Tong University

Work Experience

2015 Summer:Microsoft Research, Research Intern

2014 Summer:Mobvoi, Research Intern

2010-2011:Microsoft Research Asia, Research Intern

Besides Research

I'm a fan of FC Barcelona

I play snooker

I love travel

© Dingquan Wang, 2014. All rights reserved.