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I'm currently a research scientist at Google Research. I obtained my Ph.D. 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 publish and serve as program committee in ACL, NAACL, EMNLP, ICLR, NeurIPS, etc. I received the WACV best-student paper honorable mention in 2021. I also received outstanding dissertation award from UCSB in June 2021. I serve as Senior Program Committee for AAAI 2022. I will join Cheriton R. Computer Science School at University of Waterloo and Vector Institute in Fall 2022. I have several openings for fully-funded Master/PHD, please consider applying if you are interested in working with me. The application needs to be submitted through the official website before the deadline. You can drop me an email to demonstrate your interest, but I won't be able to evaluate your application or make any decision until I see all the applications in our system after the deadline. Email: wenhuchen [at] uwaterloo [dot] ca Email / Google Scholar / Github / Twitter / CV / Research Statement |
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Updates
- [Dec 2021] Our SUKI workshop has been accepted to NAACL 2022, checkout our website.
- [June 2021] I have received the prestigious UCSB CS dissertation award, check out the CS Award Ceremony.
- [June 2021] I have officially joined the Vector Institute as the latest faculty member, check out the vector blog.
Preprints
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Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William Cohen
Technical Report [pdf]
Publications
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HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data
Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang
Findings of ACL 2022, Virtual [pdf][code] -
A Dataset for Answering Time-Sensitive Questions
Wenhu Chen, Xinyi Wang, William Yang Wang
Proceedings of NeurIPS 2021, Virtual [pdf][code] -
Local Explanation of Dialogue Response Generation
Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang
Proceedings of NeurIPS 2021, Virtual [pdf][code] -
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang
Proceedings of NeurIPS 2021, Virtual [pdf][code] -
FinQA: A Dataset of Numerical Reasoning over Financial Data
Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, \\
Reema Moussa, Matt Beane, Ting-Hao Huang, Bryan R. Routledge, William Yang Wang
Proceedings of EMNLP 2021, Virtual [pdf][code] -
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
Shiyang Li, Semih Yavuz, Wenhu Chen and Xifeng Yan
Findings of EMNLP 2021, Virtual [pdf] -
Accessing Diverse Web Knowledge with Natural Language Interface
Wenhu Chen
PhD dissertation at University of California, Santa Barbara [pdf] -
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][code] -
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][code] -
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][talk-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) -
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
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
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] -
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] - 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] - 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]
2022
2021
2020
2019
2018
Before 2018
Awards
- 2021: UCSB CS Outstanding Dissertation Award
- 2021: WACV Best Student Paper Honorable Mention
- 2018: Tencent AI Gift Award
- 2016: IDEA Research Grant
Services
- Program Committee: NAACL, ACL, EMNLP, ICML, NeurIPS, ICLR
- Session Chair: EMNLP 2020 and NAACL 2021
- Senior Program Committee: AAAI 2022
Talks
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Building Semi-parameteric Language Models to integrate World Knowledge [pdf]
- Colloquium at UC Santa Cruz, April 2022
- Colloquium at MLNLP, March 2022
- Colloquium at Vector Institute (Endless Summer School), March 2022
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Accessing Diverse Web Knowledge with Natural Language Interface [slides]
- PhD Defense, June 2021 -
Knowledge-Grounded Natural Language Processing [slides][video]
- Invited Talk at University of Hong Kong, March 2021
- 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 Google Research, Feb 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
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Natural Language Learning with Formal Semantics [pdf]
- PhD Qualification Talk in Oct, 2019 -
Fact Verification with Semi-Structured Knowledge [slides]
- FEVER Workshop Talk in Nov, 2019 -
Generating Structured Form with Sequence-to-Sequence Network [slides]
- Reading Group of UCSB NLP Group in Nov, 2019
