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!
- 2018 Program Committee: Socal NLP, EMNLP
- 2019 Program Committee: AAAI, NAACL, ICML, ACL, NeurIPS, TACL, EMNLP
- 2020 Program Committee: AAAI, ACL
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference
Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
Technical Report 2019 [pdf]
Meta Module Network for Compositional Visual Reasoning
Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Wang, Jingjing Liu
Technical Report 2019 [pdf]
Few-shot NLG with Pre-trained Language Model
Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu and William Yang Wang
Technical Report 2019 [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 Yang Wang
Proceedings of ICLR 2020, Addis Ababa, Ethiopia (Poster) [pdf][website][code][codalab]
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]
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]
- 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]
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]