update news, publication, and members, July 2024

DSL-Lab · Jul 11, 2024 · 6ee1c00 · 6ee1c00
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diff --git a/_bibliography/papers.bib b/_bibliography/papers.bib
@@ -3,6 +3,90 @@
 
 @string{aps = {American Physical Society,}}
 
+@inproceedings{yulearning,
+  abbr={ICML},
+  bibtex_show={true},
+  title={Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders},
+  author={Yu, Xue and Li, Muchen and Leng, Yan and Liao, Renjie},
+  booktitle={International Conference on Machine Learning (ICML)},
+  year={2024},
+  pdf={https://openreview.net/pdf?id=kKWjZoaRLv},
+  code={https://github.com/DSL-Lab/GPGVAE},  
+  selected={true}
+}
+
+@inproceedings{liu2024information,
+  abbr={ISIT},
+  bibtex_show={true},
+  title={An Information-Theoretic Framework for Out-of-Distribution Generalization},
+  author={Liu, Wenliang and Yu, Guanding and Wang, Lele and Liao, Renjie},
+  booktitle={IEEE International Symposium on Information Theory (ISIT)},
+  year={2024},
+  pdf={https://arxiv.org/pdf/2403.19895},
+  selected={true}
+}
+
+@article{yan2024swingnn,
+  abbr={TMLR},
+  bibtex_show={true},
+  title={Swingnn: Rethinking permutation invariance in diffusion models for graph generation},
+  author={Yan, Qi and Liang, Zhengyang and Song, Yang and Liao, Renjie and Wang, Lele},
+  journal={Transactions on Machine Learning Research (TMLR)},
+  year={2024},
+  pdf={https://arxiv.org/pdf/2307.01646},
+  code={https://github.com/DSL-Lab/SwinGNN},
+  selected={true}  
+}
+
+@inproceedings{mahdavi2024memorization,
+  abbr={ICLR},
+  bibtex_show={true},
+  title={Memorization Capacity of Multi-Head Attention in Transformers},
+  author={Mahdavi, Sadegh and Liao, Renjie and Thrampoulidis, Christos},
+  booktitle={International Conference on Learning Representations (ICLR) Spotlights (5%)},
+  year={2024},
+  pdf={https://arxiv.org/pdf/2306.02010},
+  code={https://github.com/smahdavi4/attention-memorization},  
+  selected={true}
+}
+
+@inproceedings{du2024generative,
+  abbr={CVPR},
+  bibtex_show={true},
+  title={Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing},
+  author={Du, Bi'an and Gao, Xiang and Hu, Wei and Liao, Renjie},
+  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  pages={20850--20859},
+  year={2024},
+  pdf={https://openaccess.thecvf.com/content/CVPR2024/papers/Du_Generative_3D_Part_Assembly_via_Part-Whole-Hierarchy_Message_Passing_CVPR_2024_paper.pdf},
+  code={https://github.com/pkudba/3DHPA},    
+  selected={true}
+}
+
+@inproceedings{mahdavi2024revisiting,
+  abbr={ICASSP},
+  bibtex_show={true},
+  title={Revisiting the Equivalence of In-Context Learning and Gradient Descent: The Impact of Data Distribution},
+  author={Mahdavi, Sadegh and Liao, Renjie and Thrampoulidis, Christos},
+  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
+  pages={7410--7414},
+  year={2024},  
+  selected={true},  
+  organization={IEEE}
+}
+
+@inproceedings{xu2024self,
+  abbr={WACV},
+  bibtex_show={true},
+  title={Self-supervised relation alignment for scene graph generation},
+  author={Xu, Bicheng and Liao, Renjie and Sigal, Leonid},
+  booktitle={IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
+  pages={1339--1349},
+  year={2024},
+  pdf={https://openaccess.thecvf.com/content/WACV2024/papers/Xu_Self-Supervised_Relation_Alignment_for_Scene_Graph_Generation_WACV_2024_paper.pdf},
+  selected={true}
+}
+
 @article{liao2022gaussian,
   abbr={arXiv},
   bibtex_show={true},
@@ -15,6 +99,17 @@ @article{liao2022gaussian
   year={2022}
 }
 
+@article{gao2022learning,
+  abbr={arXiv},
+  bibtex_show={true},
+  title={Learning Latent Part-Whole Hierarchies for Point Clouds},
+  author={Gao, Xiang and Hu, Wei and Liao, Renjie},
+  journal={arXiv preprint arXiv:2211.07082},
+  selected={true},
+  pdf={https://arxiv.org/pdf/2211.07082},
+  year={2022}
+}
+
 @inproceedings{bo2023specformer,
   abbr={ICLR},
   bibtex_show={true},
@@ -29,6 +124,18 @@ @inproceedings{bo2023specformer
   year={2023}
 }
 
+@article{li2023graphpnas,
+  abbr={TMLR},
+  bibtex_show={true},
+  title={GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search},
+  author={Li, Muchen and Liu, Jeffrey Yunfan and Sigal, Leonid and Liao, Renjie},
+  journal={Transactions on Machine Learning Research (TMLR)},
+  year={2023},
+  pdf={https://openreview.net/pdf?id=ok18jj7cam},
+  code={https://github.com/DSL-Lab/GraphPNAS},  
+  selected={true}  
+}
+
 @inproceedings{ren2023scaling,
   abbr={ICLR},
   bibtex_show={true},
@@ -52,6 +159,32 @@ @article{mahdavi2023towards
   year={2023}
 }
 
+@inproceedings{mokhtari2023echoglad,
+  abbr={MICCAI},
+  bibtex_show={true},
+  title={EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms},
+  author={Mokhtari, Masoud and Mahdavi, Mobina and Vaseli, Hooman and Luong, Christina and Abolmaesumi, Purang and Tsang, Teresa SM and Liao, Renjie},
+  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
+  pages={227--237},
+  year={2023},
+  pdf={https://arxiv.org/pdf/2307.12229},
+  code={https://github.com/DSL-Lab/echoglad},
+  organization={Springer}
+}
+
+@inproceedings{mokhtari2023gemtrans,
+  abbr={MICCAI Workshop},
+  bibtex_show={true},
+  title={Gemtrans: A general, echocardiography-based, multi-level transformer framework for cardiovascular diagnosis},
+  author={Mokhtari, Masoud and Ahmadi, Neda and Tsang, Teresa SM and Abolmaesumi, Purang and Liao, Renjie},
+  booktitle={International Workshop on Machine Learning in Medical Imaging (Best Paper Award)},
+  pages={1--10},
+  year={2023},
+  pdf={https://arxiv.org/pdf/2308.13217},
+  code={https://github.com/DSL-Lab/gemtrans},  
+  organization={Springer}
+}
+
 @inproceedings{ravi2023vlc,
   abbr={WACV},
   bibtex_show={true},

diff --git a/_news/announcement_2023_jun_08.md b/_news/announcement_2023_jun_08.md
@@ -0,0 +1,8 @@
+---
+layout: post
+date: 2023-06-08
+inline: true
+related_posts: false
+---
+
+Renjie was invited to give a Symposium Talk (virtual) **Specformer: Spectral Graph Neural Networks Meet Transformers** at the Conference on Robots and Vision (CRV).
diff --git a/_news/announcement_2023_may_25.md b/_news/announcement_2023_may_25.md
@@ -0,0 +1,8 @@
+---
+layout: post
+date: 2023-05-25
+inline: true
+related_posts: false
+---
+
+Renjie was invited to give a talk **Gaussian Bernoulli RBMs Without Tears** at the Vector Institute for Artificial Intelligence.
diff --git a/_news/announcement_2023_oct_04.md b/_news/announcement_2023_oct_04.md
@@ -0,0 +1,8 @@
+---
+layout: post
+date: 2023-10-04
+inline: true
+related_posts: false
+---
+
+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.
diff --git a/_news/announcement_2023_oct_08.md b/_news/announcement_2023_oct_08.md
@@ -0,0 +1,9 @@
+---
+layout: post
+date: 2023-10-08
+inline: true
+related_posts: false
+---
+
+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](https://www.masoudmokhtari.com/)!
diff --git a/_news/announcement_2023_sep_11.md b/_news/announcement_2023_sep_11.md
@@ -0,0 +1,9 @@
+---
+layout: post
+date: 2023-09-11
+inline: true
+related_posts: false
+---
+
+Our work **GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search** was accepted in Transactions on Machine Learning Research (TMLR) 2023.
+Congratulations to Muchen!
diff --git a/_news/announcement_2024_apr_09.md b/_news/announcement_2024_apr_09.md
@@ -0,0 +1,9 @@
+---
+layout: post
+date: 2024-04-09
+inline: true
+related_posts: false
+---
+
+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!
diff --git a/_news/announcement_2024_apr_12.md b/_news/announcement_2024_apr_12.md
@@ -0,0 +1,8 @@
+---
+layout: post
+date: 2024-04-12
+inline: true
+related_posts: false
+---
+
+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.
diff --git a/_news/announcement_2024_feb_19.md b/_news/announcement_2024_feb_19.md
@@ -0,0 +1,8 @@
+---
+layout: post
+date: 2024-02-19
+inline: true
+related_posts: false
+---
+
+Congratulations to Jiahe and Nima for receiving **UBC Graduate Support Initiative (GSI) Award** 2024!
diff --git a/_news/announcement_2024_feb_26.md b/_news/announcement_2024_feb_26.md
@@ -0,0 +1,9 @@
+---
+layout: post
+date: 2024-02-26
+inline: true
+related_posts: false
+---
+
+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!
diff --git a/_news/announcement_2024_feb_29.md b/_news/announcement_2024_feb_29.md
@@ -0,0 +1,8 @@
+---
+layout: post
+date: 2024-02-29
+inline: true
+related_posts: false
+---
+
+Congratulations to Zike for receiving **UBC Four Year Doctoral Fellowship (4YF)** 2024!
diff --git a/_news/announcement_2024_jan_16.md b/_news/announcement_2024_jan_16.md
@@ -0,0 +1,9 @@
+---
+layout: post
+date: 2024-01-16
+inline: true
+related_posts: false
+---
+
+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!
diff --git a/_news/announcement_2024_jul_09.md b/_news/announcement_2024_jul_09.md
@@ -0,0 +1,8 @@
+---
+layout: post
+date: 2024-07-09
+inline: true
+related_posts: false
+---
+
+Renjie was invited to give a Lecture **Graph Neural Networks** at the CIFAR DLRL Summer School 2024.
diff --git a/_news/announcement_2024_jun_17.md b/_news/announcement_2024_jun_17.md
@@ -0,0 +1,9 @@
+---
+layout: post
+date: 2024-06-17
+inline: true
+related_posts: false
+---
+
+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!
diff --git a/_news/announcement_2024_mar_08.md b/_news/announcement_2024_mar_08.md
@@ -0,0 +1,8 @@
+---
+layout: post
+date: 2024-03-08
+inline: true
+related_posts: false
+---
+
+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.
diff --git a/_news/announcement_2024_may_01.md b/_news/announcement_2024_may_01.md
@@ -0,0 +1,9 @@
+---
+layout: post
+date: 2024-05-01
+inline: true
+related_posts: false
+---
+
+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!
diff --git a/_pages/about.md b/_pages/about.md
@@ -29,7 +29,7 @@ Our long-term research goals revolve around:
 In particular, our current research areas involve:
 - Deep Generative Models
 - Geometric Deep Learning
-- Algorithmic Reasoning with Transformers (e.g., LLMs)
+- Math/Algorithmic Reasoning with Transformers (e.g., LLMs)
 - Probabilistic Inference
 - Visual Understanding and Reasoning
 - Motion Prediction and Planning in Self-driving

diff --git a/_pages/member.md b/_pages/member.md
@@ -9,29 +9,29 @@ nav_order: 3
 **PI**
 - [Renjie Liao](https://lrjconan.github.io/)
 
+**Postdoc Students**
+- [Tanzila Rahman](https://sites.google.com/view/tanzila-rahman/home) (Postdoc at Vector Institute, co-supervised with Leonid Sigal)
 
 **Graduate Students**
 - [Muchen Li](https://jojoml.github.io/) (CS PhD co-supervised with Leonid Sigal)
 - [Qi Yan](https://qiyan98.github.io/) (ECE PhD co-supervised with Lele Wang)
 - [Sadegh Mahdavi](https://smahdavi.com/) (ECE PhD co-supervised with Christos Thrampoulidis)
 - Donglin Yang (ECE PhD)
 - Yuanpei Gao (ECE PhD)
+- Mohammad Mahdi Kazemi (ECE PhD co-supervised with Purang Abolmaesumi)
 - Qihang Zhang (ECE PhD co-supervised with Lele Wang)
 - Jiahe Liu (ECE MASc co-supervised with Lele Wang)
 - Michael Liu (CS MSc co-supervised with Nick Harvey and Mijung Park)
+- Nima Kondori (ECE MASc co-supervised with Purang Abolmaesumi)
 
 <!-- - [Hanwen Liang](https://scholar.google.ca/citations?user=mrOHvI8AAAAJ&hl=en) (ECE PhD) -->
 
 **Visiting Students**
-- Xue Yu (PhD at Renmin University of China)
-- Daniel Yang (Undergrad at National Taiwan University)
-- Yutong Zhang (Undergrad at UBC)
-- Anthony Cheng Xian (Undergrad at UBC, USRA)
-- Felix Fu (Undergrad at UBC, WLIURA)
-- Jade Clement (Undergrad at University of Toronto)
-- Evan Liu (Undergrad at UBC)
-- Youran Qu (Undergrad at Peking University)
-- Wenliang Liu (PhD at Zhejiang University)
+- Wenliang Liu (EE PhD at Zhejiang University)
+- Nick Zhang (CS Undergrad at University of Waterloo)
+- Robin Yadav (CS Undergrad at UBC)
+- Kevin Liu (CS Undergrad at UBC)
+- Tayyib Chohan (ECE Undergrad at UBC)
 
 
 **Alumni**
@@ -42,15 +42,23 @@ nav_order: 3
 
 
 **Past Visiting Students**
-- [Deyu Bo](https://bdy9527.github.io/) (PhD at Beijing University of Posts and Telecommunications)
-- Zhengyang Liang (Undergrad at Tongji University)
-- Joshua White (Undergrad at UBC)
-- Sheng Yang (Undergrad at Huazhong University of Science and Technology)
+- Felix Fu (CS Undergrad at UBC, WLIURA, now MASc at UBC)
+- Jade Clement (EngSci Undergrad at University of Toronto)
+- Evan Liu (CS Undergrad at UBC)
+- Youran Qu (CS Undergrad at Peking University)
+- Anthony Cheng Xian (CS Undergrad at UBC, USRA, now PhD at UBC)
+- Daniel Yang (EE Undergrad at National Taiwan University, now MSc at CMU)
+- Yutong Zhang (CS Undergrad at UBC, now PhD at Georgia Tech)
+- Vicky Xie (ECE Undergrad at UBC, now MSc at CMU)
+- Xue Yu (Stats PhD at Renmin University of China)
+- [Deyu Bo](https://bdy9527.github.io/) (CS PhD at Beijing University of Posts and Telecommunications, now research fellow at National University of Singapore)
+- Zhengyang Liang (CS Undergrad at Tongji University)
+- Joshua White (ENPH Undergrad at UBC, now Engineer at Tesla)
+
 
 **Collaborating Students**
-- Xiang Gao (PhD at Peking University)
-- Bian Du (PhD at Peking University)
-- Bicheng Xu (PhD at UBC)
-- Nima Kondori (PhD at UBC)
-- Hooman Vaseli (PhD at UBC)
-- Lei Huang (PhD at UBC)
+- Xiang Gao (CS PhD at Peking University)
+- Bian Du (CS PhD at Peking University)
+- Bicheng Xu (CS PhD at UBC)
+- Hooman Vaseli (ECE PhD at UBC)
+