Da Tang's world

Dream for future

Short Bio

I am a second year Ph.D. student at the Machine Learning Lab of Columbia University (under the supervision of Prof. Tony Jebara). Previously, I was an undergraduate student at Institute for Institute for Interdisciplinary Information Sciences, Tsinghua University (under the supervision of Prof. Jun Zhu). I am interested in Machine Learning and Artificial Intelligence as well as their applications to related fields, like Computer Vision and Natual Language Processing.

To contact me, please email me at qltedxtc@gmail.com or datang@cs.columbia.edu.

Education Background

Time (or Expected Time) Degree Level Major Second Major School
2015-2020 Doctoral Degree Computer Science Columbia University
2011-2015 Bachelor's Degree Computer Science Pure and Applied Math Tsinghua University

Research Experiences

1. Research Assistant, instructed by Prof. Tony Jebara, Computer Science Department, Columbia University, New York, United States.

2. Software Engineering Intern, instructed by Dr. Lan Nie and Dr. Sajid Siddiqi, Google Inc., Mountain View, United States.

3. Research Intern, instructed by Prof. Tong Zhang, Big Data Lab, Baidu Research, Beijing, China.

4. Research Assistant, instructed by Prof. Thomas Moscibroda, Microsoft Research Asia, Beijing, China.

For more information about my research experience, please look at my CURRICULUM VITAE.


1. (Under Review) Da Tang and Tony Jebara, Initialization and Coordinate Optimization for Multi-way Matching, Artificial Intelligence and Statistics (AISTATS), 2017. [PDF]

2. Da Tang and Tong Zhang, On the Duality Gap Convergence of ADMM Methods, arXiv preprint arXiv:1508.03702, 2015. [PDF]

3. Tianlin Shi, Da Tang, Liwen Xu and Thomas Moscibroda, Correlated Compressive Sensing for Networked Data, Uncertainty in Artificial Intelligence (UAI), 2014. [PDF]