Yanqiao ZHU

Yanqiao ZHU

Graph Representation Learning / Self-Supervised Learning / Interdisciplinary Applications

Yanqiao ZHU’s Homepage

Welcome to Yanqiao ZHU’s Personal Homepage!

I am a first-year Ph.D. student in Computer Science at the University of California, Los Angeles, jointly advised by Profs. Wei Wang and Yizhou Sun. Prior to that, I obtained my master’s degree in Computer Science from the Institute of Automation, Chinese Academy of Sciences.

My current research interests lie primarily in the area of graph representation learning with an emphasis on self-supervised learning and applications in computational chemistry.

Recent Updates

  • [1/25/2023] Our paper on code recommendation got accepted to WWW 2023 with an overall acceptance rate of 19.2% (365/1,900). Marvelous work, Yiqiao!
  • [1/22/2023] Our paper on structure learning for fMRI analysis will appear in ISBI 2023. Applause to Yue for his diligent work!
  • [12/24/2022] Invited to serve as a Program Committee Member for ICML 2023 and KDD 2023.
  • [11/24/2022] Our survey on deep graph generation got accepted to LoG 2022. See you online in December!
  • [11/19/2022] Our paper on self-training got accepted to AAAI 2023 for oral presentation with an acceptance rate of 19.6% (1,721/8,777). Congrats to Ran and Yue!

PyGCL

Contact Information

Yanqiao ZHU yzhu[at)cs.ucla.edu

The Scalable Analytics Institute (ScAI)
Department of Computer Science
University of California, Los Angeles (UCLA)

3551 Boelter Hall, 580 Portola Plaza, Los Angeles, CA 90095