University of Illinois at Urbana-Champaign

Education

Dec. 2009 – Jan. 2015

University of Illinois at Urbana-Champaign | Urbana, IL
PhD in Electrical and Computer Engineering
Advisor: Prof. Mark Hasegawa-Johnson

Sep. 2005 – Jun. 2008

National Taiwan University | Taipei, Taiwan
Bachelor of Science in Electrical Engineering

Research Interests

  1. Sequence modeling
  2. Natural language processing

Selected Publications (Google Scholar)

  1. Yelong Shen*, Jianshu Chen*, Po-Sen Huang*, Yuqing Guo, Jianfeng Gao
    ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search
    preprint, 2018 (PDF)
  2. Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He
    Natural Language to Structured Query Generation via Meta-Learning
    in NAACL, 2018 (PDF)
  3. Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi
    Discourse-Aware Neural Rewards for Coherent Text Generation
    in NAACL, 2018
  4. Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng
    Towards Neural Phrase-based Machine Translation
    International Conference on Learning Representations (ICLR), 2018 (PDF, Code)
  5. David Golub, Po-Sen Huang, Xiaodong He, Li Deng
    Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
    Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017 (PDF, Code)
  6. Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng
    Sequence Modeling via Segmentations
    Proc. of the International Conference on Machine Learning (ICML), 2017 (PDF, Code)
  7. Yelong Shen*, Po-Sen Huang*, Ming-Wei Chang, Jianfeng Gao
    Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion
    ACL, 2nd Workshop on Representation Learning for NLP, 2017 (PDF)
  8. Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen
    ReasoNet: Learning to stop reading in machine comprehension
    Proc. of the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017 (PDF)
  9. Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
    Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
    IEEE/ACM Transactions on Audio, Speech, and Language Processing, Dec. 2015 (PDF, Bibtex, Code)
  10. Po-Sen Huang, Haim Avron, Tara Sainath, Vikas Sindhwani, Bhuvana Ramabhadran
    Kernel Methods match Deep Neural Networks on TIMIT
    Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014. (PDF, Bibtex, Code) [IBM Research Spoken Language Processing Student Grant]
  11. Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
    Deep Learning for Monaural Speech Separation
    Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014. (PDF, Slides, Bibtex, Code) [Starkey Signal Processing Research Student Grant]
  12. Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry Heck
    Learning Deep Structured Semantic Models for Web Search using Clickthrough Data
    Proc. of the ACM International Conference on Information and Knowledge Management (CIKM), 2013. (PDF, Bibtex, Code)
  13. Po-Sen Huang, Scott Deeann Chen, Paris Smaragdis, Mark Hasegawa-Johnsons
    Singing-Voice Separation From Monaural Recordings Using Robust Principal Component Analysis
    Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 (PDF, Bibtex, Code)

Software

Towards Neural Phrase-based Machine Translation (NPMT)
Singing-Voice Separation From Monaural Recordings Using Robust Principal Component Analysis
Deep Learning for Monaural Source Separation

Honors & Awards

July 2017

Visual Question Answering Challenges First Place | CVPR

  1. Team Adelaide-Teney ACRV MSR

May 2014

IBM Research Spoken Language Processing Student Grant | ICASSP

  1. Research grant for the paper, "Kernel Methods match Deep Neural Networks on TIMIT"

May 2014

Starkey Signal Processing Research Student Grant | ICASSP

  1. Research grant for the paper, "Deep Learning for Monaural Speech Separation"

Apr. 2014

Yi-Min Wang and Pi-Yu Chung Endowed Research Award | ECE, UIUC

  1. Given to a doctoral graduate student who has demonstrated excellence in research