I am a PhD student in the Department of Computer Science at Stony Brook University advised by Prof. Steven Skiena.
My research interests lie in natural language processing, especially on representation learning and multilingual applications, by combining machine learning techniques and linguistics models. I have worked on neural network-based multilingual POS tagger for several languages and transfer learning of multilingual parsing, and I also work on representation learning for both units (words) and sequences (sentences).

Timeline Facebook SearchNLP: Intern doing Software Engineering Summer 2017 Researches on Web Query Parsing and Natural Language Interface to Database System, both with Haixun Wang Google Brain: Intern as a Researcher Summer and Fall 2016 Research on representation learning with Stephan Gouws Google: Intern doing Software Engineering Summer 2015 Profiling and analysis for user-generated activity Stony Brook University: Computer Science PhD Student 2014 - Now Advised by Prof. Steve Skiena Microsoft Research Asia: Research Intern Feb. 2013 - Dec. 2013 Learning semantic vector representation from large knowledge base with Haixun Wang
Concept level semantic analysis
Fudan University: B.Sc., Computer Science and Technology 2010 - 2014
Publications / Working Papers Syntax-Directed Variational Autoencoder for Structured Data
Hanjun Dai*, Yingtao Tian * , Bo Dai , Steven Skiena , Le Song. (* Equal Contribution)
To Appear in the International Conference on Learning Representations (ICLR), 2018.
Best paper award, NIPS 2017 workshop for Machine Learning for Molecules and Materials.
Embedding-based Relation Prediction for Ontology Population
Muhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo
To Appear in the 17th SIAM International Conference on Data Mining (SDM), SIAM 2018.
Towards the Automatic Anime Characters Creation with Generative Adversarial Networks
Yanghua Jin, Jiakai Zhang, Minjun Li, Yingtao Tian, Huachun Zhu, Zhihao Fang.
[paper] [web demo]
Accepted and presented in spotlight, NIPS 2017 workshop for Machine Learning for Creativity and Design.
A Transfer-Learnable Natural Language Interface for Databases
Hongyu Xiong, Yingtao Tian, Haixun Wang.
Under review for Transactions of the Association for Computational Linguistics.
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo.
[paper] [code] [data]
In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), IJCAI/AAAI Press 2017.
Patents Training and/or Utilizing Recurrent Neural Network Model to Determine Subsequent Source(s) for Electronic Resource Interaction (Patent in submission) 2017 Some Interesting Demo Demo of RNN Language Model An PyTorch based Recurrent Neural Network Language Model. See demo for Generating Jin Yong's Text and AKB-style Lyrics . Professional Services Reviewer LREC 2018, COLING 2017 Honors and Awards The Best Presentation Award, Graduate Research Conference, Computer Science Department, Stony Brook University, 2015 27th place, 35th Annual World Final of the ACM-ICPC, 2011 Gold Medal, ACM-ICPC Asia Chengdu Regional Contest, 2011 Championship and Gold medal, ACM-ICPC Asia Amritapri Regional Contest, 2010