Wenhan
Contact
Email: xwhan@cs.ucsb.edu

Addr: 3530 Phelps Hall, UCSB

Links
My CV
GitHub
Linkedin
NLP@UCSB

About


I am a third-year Ph.D. student in Computer Science at UC Santa Barbara, working on Natural Language Processing and Deep Learning. My research interests lie specifically in the areas of information extraction, natural language processing and reinforcement learning. I am currently working on building reasoning machines over knowledge base and text.

Before coming to UCSB, I received my bachelor degree from University of Science and Technology of China (1210) in 2016.

Publications


  • "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 paper. [Code and paper coming soon]

  • "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 paper. [Data and paper coming soon]

  • "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 and paper coming soon]

  • "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]

Preprint


  • "SafeRoute: Learning to Navigate Streets Safely in an Urban Environment"
    Sharon Levy, Wenhan Xiong, Elizabeth Belding, William Yang Wang [arXiv]

Experience


Industry:

  • Research Intern, Facebook Applied Machine Learning, 2019
  • Research Intern, Salesforce Research (MetaMind), Summer 2018

Program committee/reviewer:

  • EMNLP'18, AAAI'19, NAACL'19

Awards


  • National Scholarship (4/291), University of Science and Technology of China, 2015