About me
Starting from Sep. 2017, I became a Ph.D student in Computer Science Department of University of California, Santa Barbara. I'm honored to be co-supervised by Prof. William Wang and Prof. Xifeng Yan. My research interests mainly lie in natural language processing and deep learning. Primarily, I work on sequence-to-sequence architecture, knowledge graph reasoning, and visual captioning. Besides, I'm also broadly interested in task-oriented dialogue, bayesian inference, and model compression. I am actively looking for Machine Learning/ Data Science summer 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
Conference Papers
- A Variational Dirichlet Framework for Out-of-Distribution Detection
Wenhu Chen, Yilin Shen, Hongxia Jin, William Yang Wang
Technical Report on Deep Learning Uncertainty, 2019, USA [pdf] - 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] - 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] - 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]
Preprints, Workshops and Patents
- Approximate Distribution Matching for Sequence-to-Sequence Learning
Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou.
CoRR, 2018 [pdf] - A Joint Framework for Path Finding and Path Reasoning
Wenhu Chen, William Yang Wang, Xifeng Yan.
KBCOM Workshop of WSDM 2018, Los Angeles, CA [pdf] - A Semi-supervised Framework for Image Captioning
Wenhu Chen, Aurelien Lucchi, Thomas Hofmann.
CoRR, 2017 [pdf][code] - Using meta-information in neural machine translation
Evgeny Matusov, Wenhu Chen, Shahram Khadivi.
US Patent, 2017 [pdf]