About me

I'm a research scientist Google Research starting from summer 2021. I obtained my Phd from University of California, Santa Barbara, I was advised by William Yang Wang and Xifeng Yan. My research interest covers natural language processing, deep learning, knowledge representation and reasoning. Specifically, I aim at developing models that can ground and reason over external world knowledge to understand human language and communicate with humans. I am also interested in multi-modal problems like visual question answering and captioning.

I publishes and serves as Program Committee for ACL, NAACL, EMNLP, ICLR, NeurIPS, and CVPR. I was recognized as the top reviewer in NeurIPS 2019. I received the WACV best-student paper honorable mention in 2021.

I will join CS Deparment at University of Waterloo and Vector Institute in Fall 2022. I have several openings for fully-funded Master/PHD/Postdocs from Fall 2022, please do not hesitate to contact me if you are interested in joining my lab. Please refer to the official website for more details.

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 (Session Chair), AACL
  • 2021 Program Committee: ICLR, NAACL, ACL, NeurIPS, EMNLP

Academic Award

  • 2018: Tencent AI Rhino-Bird Gift Award
  • 2019: NeurIPS19 Outstanding Reviewer Award
  • 2021: WACV21 Best Student Paper Honorable Mention


Conference Papers


  • Zero-shot Fact Verification by Claim Generation
    Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan and William Wang
    Proceedings of ACL 2021, Virtual [pdf]
  • A Systematic Investigation of KB-Text Embedding Alignment at Scale
    Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen and Yu Su
    Proceedings of ACL 2021, Virtual [pdf]
  • Unsupervised Multi-hop Question Answering by Question Generation
    Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Wang
    Proceedings of NAACL 2021, Mexico City, Mexico [pdf][code]
  • Open Question Answering over Tables and Text
    Wenhu Chen, Ming-wei Chang, Eva Schlinger, William Wang, William Cohen
    Proceedings of ICLR 2021, Virtual [pdf][data and code] [codalab][slides]
  • Meta Module Network for Compositional Visual Reasoning
    Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Wang, Jingjing Liu
    Proceedings of WACV 2021, Hawaii, USA [pdf][code]
    (Best Student Paper Honorable Mention)
  • 2020

  • KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
    Wenhu Chen, Yu Su, Xifeng Yan, William Wang
    Proceedings of EMNLP 2020, Punta Cana, Dominican [pdf][data and code][slides]
  • 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
    Proceedings of Findings of EMNLP 2020 [pdf][data and code][codalab][website]
  • Logic2Text: High-Fidelity Natural Language Generation from Logical Forms
    Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Wang
    Proceedings of Findings of EMNLP 2020 [pdf][data and code]
  • Logical Natural Language Generation from Open-Domain Tables
    Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen and William Wang
    Proceedings of ACL 2020, Seattle, USA [pdf][data and code][codalab][slides]
  • Few-shot NLG with Pre-trained Language Model
    Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu and William 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 [pdf][data and code]
  • 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 Wang
    Proceedings of ICLR 2020, Addis Ababa, Ethiopia [pdf][website][data and code][codalab][slides]
  • Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
    Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Wang
    Proceedings of AAAI 2020, New York, US (Oral) [pdf][blog][code]
  • 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 [pdf]
  • Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance
    Yilin Shen, Wenhu Chen, Hongxia Jin
    Proceedings of INTERSPEECH 2019, Graz, Austria (Oral) [pdf]
  • Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
    Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan and William Wang
    Proceedings of ACL 2019, Florence, Italy [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 [pdf][code]
  • Mining Algorithm Roadmap in Scientific Publications
    Hanwen Zha, Wenhu Chen, Keqian Li and Xifeng Yan
    Proceedings of KDD 2019, Alaska, USA (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 Wang
    Proceedings of NAACL 2019, Minneapolis, USA (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 Wang.
    Proceedings of EMNLP 2018, Brussels, Belgium [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 (Oral) [pdf][slides][blog]
  • No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
    Wenhu Chen*, Xin Wang*, Yuan-Fang Wang and William Wang (*Equal)
    Proceedings of ACL 2018, Melbourne, Australia (Oral) [pdf][code][blog][slides]
  • Variational Knowledge Graph Reasoning
    Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Wang.
    Proceedings of NAACL 2018, New Orleans, CA (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 [pdf][poster]
  • Video Captioning via Hierarchical Reinforcement Learning
    Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-fang Wang, William Wang.
    Proceedings of CVPR 2018, Salt Lake City, UTAH [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 (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]