Hongyi Ling
Scholar

Hongyi Ling

Google Scholar ID: ei8O1BEAAAAJ
Texas A&M University
Graph Neural NetworksTrustworthy AI
Citations & Impact
All-time
Citations
359
 
H-index
6
 
i10-index
6
 
Publications
12
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • - Paper 'Graph Mixup with Soft Alignments' accepted to ICML 2023
  • - Paper 'Learning Fair Graph Representations via Automated Data Augmentations' accepted to ICLR 2023 as a Spotlight (top 8.0%)
  • - Program Committee Member & Reviewer for conferences including ICLR 2024, ICML 2023, NeurIPS 2023, LoG 2023, ACM TIST, etc.
Research Experience
  • - Software Development Engineer Intern, Amazon Web Services, Summer 2020
Education
  • - Ph.D. Student, Department of Computer Science & Engineering, Texas A&M University, Advisor: Prof. Shuiwang Ji, August 2019 - present
  • - M.S. Student, Department of Computer Science & Engineering, University of California San Diego, September 2019 - June 2021
  • - B.S. Student, Department of Computer Science and Technology, Nanjing University, Advisor: Prof. Limin Wang, September 2015 - June 2019
Background
  • Research Interests: Deep learning and machine learning, specifically in graph deep learning, trustworthy AI, fairness, and causal machine learning.
Miscellany
  • Résumé link provided