Yiren Wang 

irene-graduate2

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

In general, my research interests are at the intersection of natural language processing and machine learning. Recently I am working on neural machine translation and language modeling. I am also interested in AI in financial domain, including text mining and machine learning for time series prediction.

Education

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

Tsinghua University (Beijing, China)
B.Eng. in Electronic Engineering,   August 2012 — July 2016

Publications

    • Multi-task Learning for Multilingual Neural Machine Translation
      Yiren Wang, ChengXiang Zhai, Hany Hassan Awadalla.
      In 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-20)
      * This work has been utilized in Z-code
      [PDF]
    • Leveraging Personalized Sentiment Lexicons for Sentiment Analysis
      Dominic Seyler, Jiaming Shen, Jinfeng Xiao, Yiren Wang, and ChengXiang Zhai.
      In The 10th International Conference on the Theory of Information Retrieval (ICTIR-20)
      [PDF][Slides][Talk]
    • Transductive Ensemble Learning for Neural Machine Translation
      Yiren Wang*, Lijun Wu*, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu.
      In Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)
      [PDF][Slides] * = equal contribution
    • Neural Machine Translation with Soft Prototype
      Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, ChengXiang Zhai, Tie-Yan Liu.
      In Thirty-third Conference on Neural Information Processing Systems (NeurIPS-19)
      [PDF][Poster][Code]
    • Exploiting Monolingual Data at Scale for Neural Machine Translation
      Lijun Wu*, Yiren Wang*, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu.
      In 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP-19)
      [PDF][Poster] * = equal contribution
    • Depth Growing for Neural Machine Translation
      Lijun Wu*, Yiren Wang*, Yingce Xia, Fei Tian, Fei Gao, Tao Qin and Tie-Yan Liu.
      In 57th Annual Meeting of the Association for Computational Linguistics (ACL-19)
      [PDF][Poster][Code] * = equal contribution
    • Microsoft Research Asia’s Systems for WMT19
      Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu.
      In Proceedings of the Fourth Conference on Machine Translation (WMT-2019)
      [PDF][News][Scores]
    • Multi-Agent Dual Learning
      Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu.
      In Seventh International Conference on Learning Representations (ICLR-19)
      [PDF][Poster]
    • Non-Autoregressive Machine Translation with Auxiliary Regularization
      Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu.
      In Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)
      [PDF][Poster]
    • A Study of Feature Construction for Text-based Forecasting of Time Series Variables
      Yiren Wang*, Dominic Seyler*, Shubhra Kanti Karmaker Santu and ChengXiang Zhai.
      In 2017 International Conference on Information and Knowledge Management (CIKM-17)
      [PDF] * = equal contribution
    • Recurrent Residual Learning for Sequence Classification
      Yiren Wang, Fei Tian.
      In 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-16)
      [PDF][Poster][Source].

Preprints

    • Improving N-gram Language Models with Pre-trained Deep Transformers
      Yiren Wang, Hongzhao Huang, Zhe Liu, Yutong Pang, Yongqiang Wang, ChengXiang Zhai, Fuchun Peng.
      [PDF]

Research Experiences

    • Google Research
      Research Intern in Machine Translation
      May 2020 – August 2020, Mountain View, CA
    • Facebook
      Research Intern in Speech Team, Facebook AI Applied Research
      May 2019 – August 2019, Menlo Park, CA
    • Jump Trading
      Research Consultant in Jump Lab
      September 2017 – April 2018, Urbana, IL
    • Microsoft Research Asia
      Research Intern in Machine Learning Group
      November 2015 – June 2016, Beijing, China

Honors and Awards

    • AAAI-20 Student Travel Award, 2020
    • NeurIPS-19 Student Travel Award, 2019
    • Ranked first in WMT19 shared news translation task in four directions: English->German, German->English, German->French and French->German, 2019
    • Microsoft Research Asia “Stars of Tomorrow” Internship Award, 2019
    • EMNLP-16 Student Travel Scholarship, 2016
    • Tsinghua Excellent Undergraduate Student, 2016
    • Tsinghua – Hengda Scholarship, 2015
    • Meritorious Winner in American Mathematical Contest in Modeling, 2015
    • Tsinghua – Tecent Innovation Scholarship, 2014

Services

    • Program Committee Member: AAAI 2020/2021, NeurIPS 2020, ICLR 2021
    • Journal Reviewer: Journal of Computer Science and Technology
    • Teaching Assistant : CS410: Text Information Systems (Spring 2017, Fall 2019, Fall 2020)