Yiren Wang

Office: Room 2113, Siebel Center
Email: yiren AT

I’m a Ph.D. student (starting 2016) in Computer Science at University of Illinois at Urbana Champaign. I’m a member of the Text Information Management and Analysis (TIMAN) group, supervised by Professor ChengXiang Zhai.

My research interests are at the intersection of text mining, natural language processing and machine learning.


University of Illinois at Urbana-Champaign
Ph.D. Student in Computer Science,   August 2016 — Present
– Supervised by Prof. ChengXiang Zhai
– Interested in text mining, natural language processing and machine learning

Tsinghua University (Beijing, China)
B.Eng. in Electronic Engineering,   August 2012 — July 2016
– Coursework: Stochastic Processes, Databases, Digital Signal Processing, Signal and Systems, Digital Image Processing, OOP


  • Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu. “Multi-Agent Dual Learning”. Seventh International Conference on Learning Representations (ICLR-19). [PDF]
  • Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai and Tie-Yan Liu. “Non-Autoregressive Machine Translation with Auxiliary Regularization”. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). [PDF][Poster]
  • Yiren Wang*, Dominic Seyler*, Shubhra Kanti Karmaker Santu and ChengXiang Zhai. “A Study of Feature Construction for Text-based Forecasting of Time Series Variables”. International Conference on Information and Knowledge Management, 2017 (CIKM-17). [PDF]
  • Yiren Wang, Fei Tian. “Recurrent Residual Learning for Sequence Classification”. Conference on Empirical Methods in Natural Language Processing, 2016 (EMNLP-16). [PDF] [Poster] [Source]

Research Experiences

Microsoft Research Asia
Research Intern in Machine Learning Group,   May 2018 — Jan 2019
– Mentored by Associated Researcher Yingce Xia and Senior Researcher Tao Qin
– Worked on deep learning and dual learning for machine translation

Visa Research
Research Intern in Data Analytics Group,   June 2017 — August 2017
– Mentored by Principal Researcher Wei Zhang
– Developed RNN-based models for fraud detection on financial transactions

Microsoft Research Asia
Research Intern in Machine Learning Group,   November 2015 — June 2016
– Mentored by Lead Researcher Tao Qin
– Developed and applied deep learning techniques for natural language processing tasks

University of Illinois at Urbana-Champaign
Visiting Student in CS Department,   July 2015 — August 2015
– Supervised by Professor ChengXiang Zhai
– Mined scholarly big data with a probabilistic approach on citation graph

Teaching Experience


Honors and Awards

  • November 2016,   EMNLP Student Scholarship for attending EMNLP 2016
  • July 2016,   Tsinghua Excellent Undergraduate Student
  • October 2015,   Tsinghua – Hengda Scholarship
  • March 2015,   Meritorious Winner in American Mathematical Contest in Modeling
  • October 2014,   Tsinghua – Tecent Innovation Scholarship