About me

I'm a first-year PHD student in Computer Science Department of University of California, Santa Barbara and I'm really honored to be supervised by both Prof. William Wang and Prof. Xifeng Yan. Before that, I spent a wonderful half year in Natural Language Computing Group in Microsoft Research, Asia from Feb. 2017 to Sep. 2017, there I worked with Dr. Shujie Liu, Dr. Mu Li and Dr. Ming Zhou. I have also worked with Dr. Aurelien Lucchi and Prof. Hofmann in Data Analytics Lab in ETH Zurich for half a year. My research interests lie in natural language processing and deep learning, more specifically, I focus on research topics like machine translation, knowledge graph reasoning, semantic parsing and visual captioning.

I am actively looking for Machine Learning/ Data Science summer internship in USA. If you are interested in my background, please do not hesitate to contact me!


Computer Science department, UCSB (Sep 2017 — present)
PHD Student

Computer Sicence, ETH Zurich (June 2016 — Dec 2016)
Visiitng Student

ECE Department, RWTH Aachen University (Sep 2014 — Dec 2016)
Master Student

ECE Department, Huazhong University of S&T (Sep 2010 — June 2014)
Bachelor Student

Work Experience

Samsung Research America, Montain View (June 2018 — Sep 2018)
Research Intern

NLC Group, Microsoft Research Asia (Feb 2017 — Sep 2017)
Research Intern

NLP Group, ebay Research (Dec 2015 — June 2016)
Research Intern

Conference Papers

  • AugNMT: Jointly learning to augment and translate natural language
    Wenhu Chen, Guanlin Li, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou
    Under Review [pdf][bib]

  • Triangular Architecture for Rare Language Translation
    Shuo Ren, Wenhu Chen, Shujie Liu, Mu Li, Ming Zhou and Shuai Ma
    Proceedings of ACL 2018, Melbourne, Australia (Long Oral) [pdf][bib]

  • No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
    Wenhu Chen*, Xin Wang*, Yuan-Fang Wang and William Yang Wang (* Equal contribution)
    Proceedings of ACL 2018, Melbourne, Australia (Long Oral) [pdf][bib]

  • Variational Knowledge Graph Reasoning
    Wenhu Chen, Wenhan Xiong, William Yang Wang, Xifeng Yan.
    Proceedings of NAACL 2018, New Orleans, CA (Long Oral). [pdf][bib]

  • Generative Bridging Network in Neural Sequence Prediction
    Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou.
    Proceedings of NAACL 2018, New Orleans, CA (Long Poster). [pdf][bib]

  • Video Captioning via Hierarchical Reinforcement Learning
    Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-fang Wang, William Yang Wang.
    Proceedings of CVPR 2018, Salt Lake City, UTAH. [pdf][bib]

  • Guided alignment training for topic-aware neural machine translation
    Wenhu Chen, Evgeny Matusov, Shahram Khadivi, JT Peter.
    Proceedings of AMTA 2016, Austin, TX (Long Poster). [pdf][bib]

  • Facial Emotion Recognition Using PHOG and a Hierarchical Expression Model
    Zhao Zhong, Gang Shen, Wenhu Chen.
    Proceedings of INCos 2013, XI`AN, CHINA [pdf][bib]

    Preprints, Workshops and Patents

  • A Joint Framework for Path Finding and Path Reasoning
    Wenhu Chen, William Yang Wang, Xifeng Yan.
    KBCOM Workshop of WSDM 2018, Los Angeles, CA. [pdf][bib]

  • A Semi-supervised Framework for Image Captioning
    Wenhu Chen, Aurelien Lucchi, Thomas Hofmann.
    CoRR, 2017. [pdf][bib]

  • Using meta-information in neural machine translation
    Evgeny Matusov, Wenhu Chen, Shahram Khadivi.
    US Patent, 2017 [pdf][bib]
  • Service

    Conference Reviewer
  • 2018: Socal, EMNLP