Barry Menglong Yao

Barry Menglong Yao

PhD student in Computer Science

Virginia Tech


Barry Menglong Yao is a PhD student in Computer Science at Virginia Tech, advised by Dr. Lifu Huang. Before that, he was a master’s student of Computer Science at the University at Buffalo, advised by Dr. Changyou Chen. He was also a graduate research assistant in Dr. David Doermann’s Federated Learning project. He received the Best Paper Award Honorable Mention from SIGIR 2023 and the Best MS Research Award from the CSE department at the University at Buffalo.

Check my CV .

  • Entity Linking
  • Fake news detection
  • PhD in Computer Science, Present

    Virginia Tech

  • M.S. in Computer Science and Engineering, 2022

    University at Buffalo, The State University of New York

  • B.S. in Computer Science and Technology, 2016

    Jilin University


advised by [Dr. Lifu Huang](
PhD student
advised by Dr. Lifu Huang
Jun 2021 – Present Virginia Tech
  • Our fact-checking paper received the Best Paper Award Honorable Mention from SIGIR 2023
under supervision of Dr. David Doermann
Research assistant
Jan 2022 – Aug 2022 University at Buffalo
  • Work as a funded research assistant in Federated Learning for NLP & medical image project
under supervision of Dr. Changyou Chen
Supervised research
Dec 2020 – Jun 2022 University at Buffalo
  • Project: Improve VAE with density ratio function
  • Project: Self-supervised text coherence model by permutation prediction
WeBank Co., Ltd.
Software Engineer
Aug 2016 – Jul 2020 China
  • Built the distributed loan business systems which create about $3 billion in user loan
  • Developed software frameworks for the whole department (e.g. State machine framework: Supporting Saga distributedtransactions pattern)
  • Led three teams in a system-wide refactoring which reduces development cycle of new products from 10 to 2 days

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