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, program synthesis, 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
  • 2020 Program Committee: AAAI, ACL, ICML, EMNLP, AACL


  • Logic2Text: High-Fidelity Natural Language Generation from Logical Forms
    Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang
    Technical Report 2020 [pdf][code and data]
  • HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
    Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Wang
    Technical Report 2020 [pdf][code][codalab][website]
  • Meta Module Network for Compositional Visual Reasoning
    Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Wang, Jingjing Liu
    Technical Report 2019 [pdf][code]

Conference Papers


  • Logical Natural Language Generation from Open-Domain Tables
    Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen and William Yang Wang
    Proceedings of ACL 2020, Seattle, USA [pdf][project page][codalab][slides]
  • Few-shot NLG with Pre-trained Language Model
    Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu and William Yang Wang
    Proceedings of ACL 2020, Seattle, USA [pdf][data and code]
  • VIOLIN: A Large-Scale Dataset for Video-and-Language Inference
    Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
    Proceedings of CVPR 2020, Seattle, USA (Poster) [pdf][project page]
  • TabFact: A Large-scale Dataset for Table-based Fact Verification
    Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou and William Yang Wang
    Proceedings of ICLR 2020, Addis Ababa, Ethiopia (Poster) [pdf][website][code][codalab][slides]
  • Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
    Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang
    Proceedings of AAAI 2020, New York, US (Oral) [pdf][blog]
  • 2019

  • Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
    Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan
    Proceedings of NeurIPS 2019, Vancouver, Canada (Poster) [pdf]
  • Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance
    Yilin Shen, Wenhu Chen, Hongxia Jin
    Proceedings of INTERSPEECH 2019, Graz, Austria (Oral Presentation) [pdf]
  • 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 Poster) [pdf][code]
  • 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 Poster) [pdf][code]
  • 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][blog][video][code]
  • 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][slides]
  • 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]

Talks & Tutorials

  • Natural Language Learning with Formal Semantics (PhD Qualification Talk in Oct, 2019) [pdf]
  • Fact Verification with Semi-Structured Knowledge (FEVER Workshop Talk in Nov, 2019) [slides]
  • Generating Structured Form with Sequence-to-Sequence Network (Reading Group of UCSB NLP Group in Nov, 2019) [slides]