Renjie Liao
Scholar

Renjie Liao

Google Scholar ID: 2wrS35MAAAAJ
University of British Columbia
Machine LearningComputer VisionArtificial Intelligence
Citations & Impact
All-time
Citations
8,660
 
H-index
41
 
i10-index
65
 
Publications
20
 
Co-authors
168
list available
Resume (English only)
Academic Achievements
  • Published extensively in top-tier venues including ICLR, NeurIPS, ICML, CVPR, ICCV, ECCV, MICCAI, etc., across multiple research areas:
  • Deep Generative Models: e.g., Discrete Diffusion on Symmetric Groups (ICLR 2025), Neural Merton Jump Diffusion (NeurIPS 2025), GRAN (NeurIPS 2019).
  • Geometric Deep Learning: e.g., Latent Graph VAE (ICML 2024), Specformer (ICLR 2023), LanczosNet (ICLR 2019).
  • Neural Algorithmic/Math Reasoning: e.g., AoPS Math Benchmark (ICML 2025), OOD Generalization in Algorithmic Reasoning (TMLR 2022).
  • Generalization Bounds: e.g., Information-theoretic OOD Generalization (IEEE TIT 2025), PAC-Bayes Bounds for GNNs (ICLR 2021).
  • Optimization: e.g., Implicit differentiation (ICML 2018), Differentiable Bipartite Matching (ICCV 2019).
  • Computer Vision and Self-driving: numerous works at CVPR, ICCV, ECCV, IROS, e.g., LaneGCN (ECCV 2020), MoFlow (CVPR 2025).
  • Healthcare AI: e.g., GNNs for left ventricle landmark detection (MICCAI 2023) and ejection fraction estimation (MICCAI 2022) in echocardiograms.
  • Recipient of the Canada CIFAR AI Chair award.