About me

I'm currently a computer science PHD student, my research interest spans from natural language processing to deep learning. My main focus is on natural language generation system, symbolic reasoning, task-oriented dialogue, and visual captioning. Besides, I'm also broadly interested in bayesian inference, and model compression. I am actively looking for Machine Learning 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, TACL, EMNLP

Conference Papers

    2019

  • Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
    Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan and William Yang Wang
    Proceedings of ACL 2019, Florence, Italy (Long Paper) [pdf]
  • Global Textual Relation Embedding for Relational Understanding
    Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan and Yu Su
    Proceedings of ACL 2019, Florence, Italy (Short Paper) [pdf]
  • Mining Algorithm Roadmap in Scientific Publications
    Hanwen Zha, Wenhu Chen, Keqian Li and Xifeng Yan
    Proceedings of KDD 2019, Alaska, USA (Research Track, Oral) [pdf]
  • 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]
  • 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]
  • 2018

  • 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][blog]
  • 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]
  • 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]
  • 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]
  • 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]
  • 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]
  • Before 2018

  • 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]
  • 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

  • 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]
  • 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]
  • A Semi-supervised Framework for Image Captioning
    Wenhu Chen, Aurelien Lucchi, Thomas Hofmann.
    CoRR, 2017 [pdf][code]
  • Using meta-information in neural machine translation
    Evgeny Matusov, Wenhu Chen, Shahram Khadivi.
    US Patent, 2017 [pdf]