news

Jul 9, 2024 Renjie was invited to give a Lecture Graph Neural Networks at the CIFAR DLRL Summer School 2024.
Jun 17, 2024 Our work SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation was accepted in Transactions on Machine Learning Research (TMLR) 2024. Congratulations to Qi!
May 1, 2024 Our work Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders was accepted in International Conference on Machine Learning (ICML) 2024. Congratulations to Xue!
Apr 12, 2024 Renjie was invited to give a talk Graph Neural Networks meet Spectral Graph Theory: A Case Study in the AI seminar at Simon Fraser University.
Apr 9, 2024 Our work An Information-Theoretic Framework for Out-of-Distribution Generalization was accepted in IEEE International Symposium on Information Theory (ISIT) 2024. Congratulations to Wenliang!
Mar 8, 2024 Renjie was invited to give a Distinguished Talk (virtual) Graph Neural Networks meet Spectral Graph Theory: A Case Study at the Vector Institute for Artificial Intelligence.
Feb 29, 2024 Congratulations to Zike for receiving UBC Four Year Doctoral Fellowship (4YF) 2024!
Feb 26, 2024 Our work Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing was accepted in Conference on Computer Vision and Pattern Recognition (CVPR) 2024. Congratulations to Bi’an!
Feb 19, 2024 Congratulations to Jiahe and Nima for receiving UBC Graduate Support Initiative (GSI) Award 2024!
Jan 16, 2024 Our work Memorization Capacity of Multi-Head Attention in Transformers was accepted as spotlights (5%) in International Conference on Learning Representations (ICLR) 2024. Congratulations to Sadegh!
Oct 8, 2023 Our work GEMTrans: A General, Echocardiography-Based, Multi-level Transformer Framework for Cardiovascular Diagnosis received the Best Paper Award at the International Workshop on Machine Learning in Medical Imaging, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023. Congratulations to Masoud!
Oct 4, 2023 Renjie was invited to give a Keynote Talk GNNs Meet Transformers: Some Insights in Representation Learning and Generative Modeling at the Graphs in BiomedicAl Image Analysis workshop, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023.
Sep 11, 2023 Our work GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search was accepted in Transactions on Machine Learning Research (TMLR) 2023. Congratulations to Muchen!
Jul 23, 2023 Renjie was invited to give a talk Gaussian Bernoulli RBMs Without Tears at 5th Symposium on Advances in Approximate Bayesian Inference, co-located with International Conference on Machine Learning (ICML) 2023.
Jun 23, 2023 Our work EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms was accepted by International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. Code is released here.
Congratulations to Masoud!
Jun 8, 2023 Renjie was invited to give a talk Specformer: Spectral Graph Neural Networks Meet Transformers at Canadian Conference on Computer and Robot Vision (CRV).
Jun 8, 2023 Renjie was invited to give a Symposium Talk (virtual) Specformer: Spectral Graph Neural Networks Meet Transformers at the Conference on Robots and Vision (CRV).
May 25, 2023 Renjie was invited to give a talk Gaussian Bernoulli RBMs Without Tears at the Vector Institute for Artificial Intelligence.
Apr 27, 2023 Renjie was invited to give a talk Gaussian Bernoulli RBMs Without Tears at School of Statistics, the Renmin University of China.
Apr 10, 2023 Renjie was appointed as Canada CIFAR AI Chair and Faculty Member at Vector Institute.
Apr 5, 2023 Congratulations to Michael for receiving NSERC Canada Graduate Scholarships (CGS M)!
Feb 27, 2023
  • Congratulations to Sadegh for receiving UBC Four Year Doctoral Fellowship (4YF)!
  • Congratulations to Donglin for receiving UBC Four Year Doctoral Fellowship (4YF)!
Feb 9, 2023 Renjie was invited to give a talk Gaussian Bernoulli RBMs Without Tears at the Math Machine Learning Seminar Max Planck Institute for Mathematics in the Sciences (MPI MIS) and UCLA.
Jan 20, 2023
  • Our work Specformer: Spectral Graph Neural Networks Meet Transformers was accepted by International Conference on Learning Representations (ICLR) 2023.
    Congratulations to Deyu!
  • Our work Scaling Forward Gradient With Local Losses was accepted by International Conference on Learning Representations (ICLR) 2023.
    Congratulations to Mengye!
Jan 19, 2023 Congratulations to Sadegh for receiving UBC Graduate Support Initiative (GSI) Award 2023!