About me

Starting from Sep. 2017, I became a Ph.D student in Computer Science Department of University of California, Santa Barbara. I'm honored to be co-supervised by Prof. William Wang and Prof. Xifeng Yan. My research interests mainly lie in natural language processing and deep learning. Primarily, I work on sequence-to-sequence architecture, knowledge graph reasoning, and visual captioning. Besides, I'm also broadly interested in task-oriented dialogue, bayesian inference, and model compression. 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!

Conference Service

  • 2018 Program Committee: Socal NLP, EMNLP
  • 2019 Program Committee: AAAI, NAACL, ICML, ACL, NeurIPS

Conference Papers

  1. A Variational Dirichlet Framework for Out-of-Distribution Detection
    Wenhu Chen, Yilin Shen, Hongxia Jin, William Yang Wang
    Technical Report on Deep Learning Uncertainty, 2019, USA [pdf]
  2. How Large A Vocabulary Does Text Classification Need? A Variational Approach on Vocabulary Selection
    Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan and William Yang Wang
    Proceedings of NAACL 2019, Minneapolis, USA (Long Oral)> [pdf][code]
  3. XL-NBT: A cross-lingual Neural Belief Tracking Framework
    Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan and William Yang Wang.
    Proceedings of EMNLP 2018, Brussels, Belgium (Long Poster) [pdf][code]
  4. 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][slides][blog]
  5. 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][code][blog][slides]
  6. Variational Knowledge Graph Reasoning
    Wenhu Chen, Wenhan Xiong, William Yang Wang, Xifeng Yan.
    Proceedings of NAACL 2018, New Orleans, CA (Long Oral)> [pdf][slides][data][blog][video]
  7. 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][poster]
  8. 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 (Poster) [pdf][blog]
  9. Guided alignment training for topic-aware neural machine translation
    Wenhu Chen, Evgeny Matusov, Shahram Khadivi, JT Peter.
    Proceedings of AMTA 2016, Austin, TX (Long Oral) [pdf][openNMT]
  10. Facial Emotion Recognition Using PHOG and a Hierarchical Expression Model
    Zhao Zhong, Gang Shen, Wenhu Chen.
    Proceedings of INCos 2013, XI`AN, CHINA [pdf]

Preprints, Workshops and Patents

  1. Approximate Distribution Matching for Sequence-to-Sequence Learning
    Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou.
    CoRR, 2018 [pdf]
  2. 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]
  3. A Semi-supervised Framework for Image Captioning
    Wenhu Chen, Aurelien Lucchi, Thomas Hofmann.
    CoRR, 2017 [pdf][code]
  4. Using meta-information in neural machine translation
    Evgeny Matusov, Wenhu Chen, Shahram Khadivi.
    US Patent, 2017 [pdf]