Shuoyang Ding bio photo

Shuoyang Ding

At Longwood Gardens, PA. November 2016.

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About

I'm a PhD student in the Department of Computer Science, Johns Hopkins University. As a member of Center for Language and Speech Processing, I'm currently involved in research on neural machine translation. Yet personally, I'm interested in problems of different categories in the field of natural language processing. My advisors are Philipp Koehn and Kevin Duh.

Before joining Johns Hopkins, I got my Bachelor's degree in Beijing University of Posts & Telecommunications. During the last year of my undergraduate study, I worked with Weiwei Sun in the Language Computing and Web Mining Group of Institute of Computer Science & Technology, Peking University, with a focus on semantic parsing and Chinese word segmentation.

News

  • March 2018: I will be doing a deep learning research internship this summer with Salesforce Research (previously MetaMind).
  • Nov 2017: I will be serving on the program committee of ACL 2018 (machine translation).
  • May 2016: I'm doing a Applied Research Scientist internship with Amazon at Pittsburgh (previously Safaba Translation Solutions).
  • June 2015: I'm visiting statistical machine translation group of University of Edinburgh.

Courses

Teaching

Publications

  • The JHU Machine Translation Systems for WMT 2017 | Shuoyang Ding, Huda Khayrallah, Philipp Koehn, Matt Post, Gaurav Kumar, and Kevin Duh, WMT 2017 [pdf]
  • The JHU Machine Translation Systems for WMT 2016 | Shuoyang Ding, Kevin Duh, Huda Khayrallah, Philipp Koehn, and Matt Post, WMT 2016 [pdf]
  • Grammatical Relations in Chinese:GB-Ground Extraction and Data-Driven Parsing | Weiwei Sun, Yantao Du, Xin Kou, Shuoyang Ding, Xiaojun Wan, ACL 2014 [pdf]

Preprints

  • Multi-Modal Data Augmentation for End-to-end ASR | Adithya Renduchintala, Shuoyang Ding, Matthew Wiesner, Shinji Watanabe, 2018 [pdf]
  • Backstitch: Counteracting Finite-sample Bias via Negative Steps | Yiming Wang, Hossein Hadian, Shuoyang Ding, Ke Li, Hainan Xu, Xiaohui Zhang, Daniel Povey, Sanjeev Khudanpur, 2017 [pdf]