About
I am a 4th-year Ph.D. student in Computer Science at UC Santa Barbara, working with William Wang. I mainly work on Information Extraction, Question Answering and Reasoning over both structured and unstructured text data.
Before coming to UCSB, I received my bachelor degree from University of Science and Technology of China (1210) in 2016.
Papers
- "Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model"
Wenhan Xiong, Jingfe Du, William Yang Wang and Veselin Stoyanov
ICLR 2020, [paper] - "Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering"
Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang
Machine Reading for Question Answering Workshop at EMNLP 2019. [paper] - "Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification"
Jiawei Wu, Wenhan Xiong and William Yang Wang
EMNLP 2019, long paper. [paper] - "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang
ACL 2019, short oral paper. [code] [paper] - "TweetQA: A Social Media Focused Question Answering Dataset"
Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Xiaoxiao Guo, Shiyu Chang and William Yang Wang
ACL 2019, long oral paper. [Paper] [Website] - "Self-Supervised Learning for Contextualized Extractive Summarization"
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang and William Yang Wang
ACL 2019, short paper. [code] [paper] - "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing"
Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang
NAACL-HLT 2019, long paper. [code] [paper] - "Sentence Embedding Alignment for Lifelong Relation Extraction"
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang and William Yang Wang
NAACL-HLT 2019, long paper. [code] [paper] - "One-Shot Relational Learning for Knowledge Graphs"
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang
EMNLP 2018, long paper. [code] [paper] - "Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation"
Wenhan Xiong*, Xin Wang*, Hongmin Wang, William Yang Wang (* equal contribution)
ECCV 2018 [paper] - "Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents"
Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou and William Yang Wang
IJCAI-ECAI-18, full paper [code] [paper] [slides] - "Variational Knowledge Graph Reasoning"
Wenhu Chen, Wenhan Xiong, Xifeng Yan and William Yang Wang
NAACL-HLT 2018, long oral paper [paper] [slides] - "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"
Wenhan Xiong, Thien Hoang and William Yang Wang
EMNLP 2017, long oral paper [code] [paper] [slides]
Experience
Industry:
- Research Intern, Facebook AI, 2019
- Research Intern, Salesforce Research (MetaMind), Summer 2018
Program committee/reviewer:
- EMNLP'18, AAAI'19, NAACL'19, EMNLP'19, AAAI'20, MRQA'19, ACL'20
Awards
- National Scholarship (4/291), University of Science and Technology of China, 2015