Wenhan
Contact
Email: xwhan@fb.com
Links
GitHub
Twitter

About Me


I am a research scientist at Meta AI. My research focues on natural language understanding. For my recent research, I am passionate about building open-domain AI/NLP systems that are capable of searching, encoding and reasoning with information from the web.

Prior to Meta, I got my Ph.D. from University of California, Santa Barbara in March, 2021 and my bachelor degree from University of Science and Technology of China in 2016.

Selected Publications


Full publication list at Semantic Scholar or Google Scholar

  • "Simple Local Attentions Remain Competitive for Long-Context Tasks"
    Wenhan Xiong, Barlas Oğuz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad
    NAACL 2022, [paper]

  • "Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval"
    Wenhan Xiong*, Xiang Lorraine Li*, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oğuz
    ICLR 2021, [code] [paper]

  • "Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering"
    Wenhan Xiong*, Hong Wang*, William Yang Wang
    EACL 2021, [code] [paper]

  • "Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model"
    Wenhan Xiong, Jingfe Du, William Yang Wang and Veselin Stoyanov
    ICLR 2020, [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]

  • 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]

  • "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]

Research Services


Session chair:

  • ACL 2021, NAACL 2021

Program committee/reviewer:

  • ACL (2018,2019,2020,2021), EMNLP (2018,2019,2020,2021), NAACL (2019,2021), NeurIPS (2021), ICLR (2021)