I am a Research Software Engineer in Google Brain Tokyo.
Prior to that, I obtained my PhD in Computer Science at
Stony Brook University
in May 2019 advised by
Prof. Steven Skiena.
and my B.S. in Computer Science and Technology at
Fudan University
in 2014 advised by Prof. Yanghua Xiao.
My Curriculum Vitae is available in PDF
or online.
My research interests lie in
generative models
and
representation learning,
as well as their applications in natural language processing, knowledge base modeling, social
network modeling, image generation and bioinformatics, and much more.
Details can be found in publications.
Concept level semantic analysis with Zhongyuan Wang
Yingtao Tian , Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto [paper] [dataset] [project]
To Appear in the Proceedings of the Eleventh International Conference on Computational Creativity, ICCC'20
Wenlu Wang, Yingtao Tian , Haixun Wang, Wei-Shinn Ku [paper]
In the Proceedings of the IEEE International Conference on Data Engineering (ICDE) 2020
Muhao Chen*, Yingtao Tian *, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo (* Equal Contribution) [paper]
In the Proceedings of the SIGNLL Conference on Computational Natural Language Learning (CoNLL) 2019
Jingjing Li, Wenlu Wang, Wei-Shinn Ku, Yingtao Tian and Haixun Wang [paper]
In the Proceedings of the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2019
Haochen Chen, Syed Fahad Sultan, Yingtao Tian , Muhao Chen and Steven Skiena [paper]
In the Proceedings of the International Conference on Information and Knowledge Management (CIKM) 2019
Weijia Shi, Muhao Chen, Yingtao Tian , Kai-Wei Chang [paper]
In the Proceedings of the 4th ACL Workshop on Representation Learning for NLP (RepL4NLP) 2019
Yingtao Tian , Haochen Chen, Bryan Perozzi, Muhao Chen, Xiaofei Sun, Steven Skiena [paper]
In the proceeding of the 41st European Conference on Information Retrieval (ECIR 2019)
Haochen Chen, Xiaofei Sun, Yingtao Tian , Muhao Chen, Bryan Perozzi and Steven Skiena [paper]
In Proceedings of the International Conference on Information and Knowledge Management (CIKM) 2018
Mohammad Ruhul Amin, Alisa Yurovsky, Yingtao Tian , Steven Skiena [paper]
In Proceedings of the 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2018.
Vivek Kulkarni, Yingtao Tian , Parth Dandiwala, Steven Skiena [paper]
In Proceedings of the 27th International Conference on Computational Linguistics (COLING), 2018.
Muhao Chen, Yingtao Tian , Kai-Wei Chang, Steven Skiena, Carlo Zaniolo [paper]
In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018.
Hanjun Dai*, Yingtao Tian * , Bo Dai, Steven Skiena, Le Song (* Equal Contribution) [paper]
In Proceedings of the International Conference on Learning Representations (ICLR), 2018.
Best paper award, NIPS 2017 workshop for Machine Learning for Molecules and Materials.
Muhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo [paper]
In Proceedings of the 17th SIAM International Conference on Data Mining (SDM), SIAM 2018.
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.
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.