Renjie Liao   I am an Assistant Professor (since Jan. 2022) in ECE and CS (associated member) Departments at UBC. I am a Faculty Member at Vector Institute and a Canada CIFAR AI Chair. I was a Visiting Faculty Researcher at Google Brain, working with Geoffrey Hinton and David Fleet. I received my PhD from UofT in 2021, advised by Richard Zemel and Raquel Urtasun. During my PhD, I also worked as a Senior Research Scientist at Uber ATG. I obtained my MPhil from CUHK, advised by Jiaya Jia, and my BEng from Beihang. Since the number of updates to this website each year follows a Poisson distribution (λ ≈ 0.5), please check my Deep Structured Learning Lab website for up-to-date information!

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Email: renjie.liao@ubc.ca

"There is nothing as practical as a good theory." - Kurt Lewin "The test of all knowledge is experiment." - Richard Feynman

Research Summary:

My current research primarily focuses on probabilistic and geometric deep learning.
In general, I enjoy solving interesting (often practical) problems with principled mathematics and simple implementations.
Below are some representative topics and publications.
• Deep Generative Models: GPGVAE (ICML 2024), SwinGNN (TMLR 2024), Neural Architectures Generation (TMLR 2023), Gaussian-Bernoulli RBMs, NP-DRAW (UAI 2021), GRAN (NeurIPS 2019)
• Geometric Deep Learning: Specformer (ICLR 2023), LanczosNet (ICLR 2019), 3DGNN (ICCV 2017)
• Neural Algorithmic/Math Reasoning: OOD Generalization in Algorithmic Reasoning (TMLR 2022)
• Generalization Bounds: Information-theoretic OOD Generalization (ISIT 2024), PAC-Bayes Bounds for GNNs (ICLR 2021)
• Optimization: Implicit differentiation (ICML 2018), Differentiable Bipartite Matching (ICCV 2019)
• Computer Vision:
  Learning Latent Part-Whole Hierarchy for 3D Point Clouds: 3D Part Assembly (CVPR 2024), IJCV Submission
  Image/Video Segmentation: UPSNet (CVPR 2019), DMMNet (ICCV 2019)
  Video Super-resolution: ICCV 2017, ICCV 2015, CVPR 2015
• Self-driving: LookOut (ICCV 2021), LaneRCNN (IROS 2021), LaneGCN (ECCV 2020), ILVM (ECCV 2020), DSDNet (ECCV 2020), SpAGNN (ICRA 2020)
• Healthcare: GNNs for Left Ventricle Landmark Detection in Echocardiograms (MICCAI 2023), GNNs for Ejection Fraction Estimation in Echocardiograms (MICCAI 2022)

Last Updated: Jul. 13, 2024