I am a PhD student in the
Department of Computer Science
at Stony Brook University advised by
Prof. Steven Skiena.
Facebook SearchNLP: Intern doing Software Engineering
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
Google: Intern doing Software Engineering
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
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).
Concept level semantic analysis
Fudan University: B.Sc., Computer Science and Technology
2010 - 2014
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.
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.
In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), IJCAI/AAAI Press 2017.
Training and/or Utilizing Recurrent Neural Network Model to Determine Subsequent Source(s) for Electronic Resource Interaction
(Patent in submission)
Demo of RNN Language Model
An PyTorch based Recurrent Neural Network Language Model.
See demo for
Generating Jin Yong's Text
LREC 2018, COLING 2017
The Best Presentation Award,
Graduate Research Conference, Computer Science Department, Stony Brook University,
35th Annual World Final of the ACM-ICPC,
ACM-ICPC Asia Chengdu Regional Contest,
Championship and Gold medal,
ACM-ICPC Asia Amritapri Regional Contest,