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. Previously, 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 interdisciplinary applications.

Recent Updates

  • [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 with an acceptance rate of 19.6% (1,721/8,777). Congrats to Ran and Yue!
  • [11/9/2022] One paper on multimedia recommendation got accepted to IEEE TKDE (IF: 9.235). Congratulations to Jinghao!
  • [10/21/2022] Our work BrainGB: a benchmark for brain network analysis with graph neural networks got accepted to IEEE TMI (IF: 11.037). Please visit the project website and welcome your contribution!
  • [8/2/2022] One short paper on multiview network embedding got accepted to CIKM 2022 with an acceptance rate of 29.04% (196/675). See you in Atlanta, GA!

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