About me

I'm a final-year Ph.D. student at the University of California, Santa Barbara, 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 image/video captioning.
Previously, I have interned in Google Research led by William Cohen, Microsoft AI Dynmics365 led by JJ Liu, and Samsung Research America led by Hongxia Jin. I also collaborated with Ming-Wei Chang from Google Research, Yu Su from OSU and Jianshu Chen from Tencent AI.
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.

update: I am looking for academic position (tenure-track) in year 2021! Please checkout my research statement.

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

Academic Award

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

Preprints

  • Unsupervised Multi-hop Question Answering by Question Generation
    Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Wang
    Technical Report [pdf]

Conference Papers

    2021

  • 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]

Talks & Tutorials

  • Knowledge-Grounded Natural Language Processing
    - Invited Talk at National University of Singapore, March 2021
    - Invited Talk at Texas A&M University, March 2021
    - Invited Talk at University of Waterloo, March 2021
    - Invited Talk at Washington University in St. Luis, March 2021
    - Invited Talk at Allen Institute of Artificial Intelligence, Feb 2021
    - Invited Talk at Vanderbilt University, Feb 2021
    - Invited Talk at University of Sydney, Jan 2021
    - Invited Talk at Toyota Technological Institute at Chicago, Jan 2021
    - Invited Talk at Hong Kong University of Science and Technology, Dec 2020
  • 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]