Xingtong Yu ☕️

Xingtong Yu

Ph.D. Candidate

University of Science and Technology of China

Xingtong Yu now is a Ph.D. candidate in the University of Science and Technology of China. His research interests lie in graph learning and prompt tuning, particularly in investigating the novel research problems such as learning on heterogeneous information network and dynamic graphs, few-shot learning. Moreover, he has served as the PC member for top-tier conferences including ICLR, NeurIPS, ICML, etc.

Education

 
 
 
 
 
Ph.D. Student
School of Computer Science and Technology, University of Science and Technology of China
September 2019 – Present Hefei, China
  • Supervisor: Xinming Zhang
 
 
 
 
 
Bachelor
School of the Gifted Young, University of Science and Technology of China
September 2015 – July 2019 Hefei, China

Experiences

 
 
 
 
 
Visiting Research Student
School of Computing and Information System, Singapore Management University
July 2022 – Present Singapore, Singapore

Other Papers

Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge (2023). HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding. Under review.

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Xingtong Yu, Zhenghao Liu, Yuan Fang, Zemin Liu, Sihong Chen, Xinming Zhang (2023). Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs. Under review.

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Wenyu Zhang, Xin Deng, Baojun Jia, Xingtong Yu, Yifan Chen, jin Ma, Qing Ding, Xinming Zhang (2023). Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution. The ACM International Conference on Multimedia (ACMMM), 2023.

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Academic Service

 
 
 
 
 
Program Committee Member
May 2023 – Present
  • NeurIPS (2023)
  • ICLR (2024)
  • ICML (2024)
  • WWW (2024)
  • CVPR (2024)
  • ICMR (2024)
 
 
 
 
 
Journal Reviewer
May 2023 – Present
  • Frontiers of Computer Science
  • PeerJ Computer Science