update group website

Author: lrjconan

_bibliography/papers.bib

@@ -3,16 +3,175 @@
 
 @string{aps = {American Physical Society,}}
 
-@inproceedings{yulearning,
+@inproceedings{gao2025neural,
+  abbr={NeurIPS},
+  bibtex_show={true},
+  title={Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction},
+  author={Gao, Yuanpei and Yan, Qi and Leng, Yan and Liao, Renjie},
+  booktitle={Annual Conference on Neural Information Processing Systems (NeurIPS)},
+  year={2025},
+  pdf={https://arxiv.org/pdf/2506.04542},
+  selected={true}  
+}
+
+@inproceedings{yadav2025retro,
+  abbr={NeurIPS},
+  bibtex_show={true},
+  title={RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step Retrosynthesis},
+  author={Yadav, Robin and Yan, Qi and Wolf, Guy and Bose, Avishek Joey and Liao, Renjie},
+  booktitle={Annual Conference on Neural Information Processing Systems (NeurIPS)},
+  year={2025},
+  pdf={https://arxiv.org/pdf/2506.04439},
+  selected={true}  
+}
+
+@article{liu2025information,
+  abbr={IEEE TIT},
+  bibtex_show={true},
+  title={An information-theoretic framework for out-of-distribution generalization with applications to stochastic gradient Langevin dynamics},
+  author={Liu, Wenliang and Yu, Guanding and Wang, Lele and Liao, Renjie},
+  journal={IEEE Transactions on Information Theory (TIT)},
+  year={2025},
+  publisher={IEEE},
+  pdf={https://arxiv.org/pdf/2403.19895},
+  selected={true}
+}
+
+@article{gao2025learning,
+  abbr={IJCV},
+  bibtex_show={true},
+  title={Learning latent part-whole hierarchies for point clouds},
+  author={Gao, Xiang and Hu, Wei and Liao, Renjie},
+  journal={International Journal of Computer Vision (IJCV)},
+  pages={1--20},
+  year={2025},
+  publisher={Springer},
+  pdf={https://arxiv.org/pdf/2211.07082},
+  selected={true}  
+}
+
+@inproceedings{fu2025moflow,
+  abbr={CVPR},
+  bibtex_show={true},
+  title={Moflow: One-step flow matching for human trajectory forecasting via implicit maximum likelihood estimation based distillation},
+  author={Fu, Yuxiang and Yan, Qi and Wang, Lele and Li, Ke and Liao, Renjie},
+  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  pages={17282--17293},
+  year={2025},
+  pdf={https://openaccess.thecvf.com/content/CVPR2025/papers/Fu_MoFlow_One-Step_Flow_Matching_for_Human_Trajectory_Forecasting_via_Implicit_CVPR_2025_paper.pdf},
+  code={https://github.com/DSL-Lab/MoFlow},
+  website={https://moflow-imle.github.io/},
+  blog={https://dsl-lab.github.io/blog/2025/cogen-motion/},
+  selected={true}
+}
+
+@InProceedings{li2025latent,
+  abbr={CVPR},
+  bibtex_show={true},
+  author    = {Li, Muchen and Christen, Sammy and Wan, Chengde and Cai, Yujun and Liao, Renjie and Sigal, Leonid and Ma, Shugao},
+  title     = {LatentHOI: On the Generalizable Hand Object Motion Generation with Latent Hand Diffusion.},
+  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year      = {2025},
+  pages     = {17416-17425},
+  pdf={https://openaccess.thecvf.com/content/CVPR2025/papers/Li_LatentHOI_On_the_Generalizable_Hand_Object_Motion_Generation_with_Latent_CVPR_2025_paper.pdf},
+  selected={false}
+}
+
+@inproceedings{mahdavi2025leveraging,
+  abbr={ICML},
+  bibtex_show={true},
+  title={Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation},
+  author={Mahdavi, Sadegh and Li, Muchen and Liu, Kaiwen and Thrampoulidis, Christos and Sigal, Leonid and Liao, Renjie},
+  booktitle={International Conference on Machine Learning (ICML)},
+  year={2025},
+  pdf={https://arxiv.org/pdf/2501.14275},
+  code={https://github.com/DSL-Lab/aops},
+  website={https://livemathbench.github.io/},
+  selected={true}  
+}
+
+@inproceedings{mahdavi2025graph,
+  abbr={ICML Workshop},
+  bibtex_show={true},
+  title={Beyond accuracy: A policy gradient reweighting approach for pass@ k maximization in llms},
+  author={Mahdavi, Sadegh and Li, Muchen and Liu, Kaiwen and Liao, Renjie and Thrampoulidis, Christos},
+  booktitle={ICML 2025 Workshop on AI for Math},
+  year={2025},
+  pdf={https://arxiv.org/pdf/2411.17236},
+  selected={false}
+}
+
+@inproceedings{yan2025trajflow,
+  abbr={IROS},
+  bibtex_show={true},
+  title={TrajFlow: Multi-modal Motion Prediction via Flow Matching},
+  author={Yan, Qi and Zhang, Brian and Zhang, Yutong and Yang, Daniel and White, Joshua and Chen, Di and Liu, Jiachao and Liu, Langechuan and Zhuang, Binnan and Shi, Shaoshuai and others},
+  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
+  year={2025},
+  pdf={https://arxiv.org/pdf/2506.08541},
+  code={https://github.com/DSL-Lab/TrajFlow},
+  website={https://traj-flow.github.io/},
+  blog={https://dsl-lab.github.io/blog/2025/cogen-motion/},
+  selected={true}
+}
+
+@inproceedings{zhang2025symmetricdiffusers,
+  abbr={ICLR},
+  bibtex_show={true},
+  title={SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups},
+  author={Zhang, Yongxing and Yang, Donglin and Liao, Renjie},
+  booktitle={International Conference on Learning Representations (ICLR), Oral (1.8%)},
+  year= {2025},
+  pdf={https://arxiv.org/pdf/2410.02942},
+  code={https://github.com/DSL-Lab/SymmetricDiffusers},
+  selected={true}  
+}
+
+@article{xu2025joint,
+  abbr={TMLR},
+  bibtex_show={true},
+  title={Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models},
+  author={Xu, Bicheng and Yan, Qi and Liao, Renjie and Wang, Lele and Sigal, Leonid},
+  journal={Transactions on Machine Learning Research (TMLR)},
+  year={2025},
+  pdf={https://arxiv.org/pdf/2401.01130},
+  code={https://github.com/ubc-vision/DiffuseSG},  
+  selected={false}  
+}
+
+@inproceedings{yu2024learning,
   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}
+  code={https://github.com/DSL-Lab/GPGVAE},
+  selected={false}
+}
+
+@inproceedings{liu2024frechet,
+  abbr={ICML Workshop},
+  bibtex_show={true},
+  title={Fr{\'e}chet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos},
+  author={Liu, Jiahe and Qu, Youran and Yan, Qi and Zeng, Xiaohui and Wang, Lele and Liao, Renjie},
+  booktitle={ICML 2024 Workshop on on Controllable Video Generation},
+  year={2024},
+  pdf={https://arxiv.org/pdf/2407.16124},
+  code={https://github.com/DSL-Lab/FVMD-frechet-video-motion-distance},  
+  selected={false}  
+}
+
+@inproceedings{xian2024graph,
+  abbr={ICML Workshop},
+  bibtex_show={true},
+  title={From Graph Diffusion to Graph Classification},
+  author={Xian, Jia Jun Cheng and Mahdavi, Sadegh and Liao, Renjie and Schulte, Oliver},
+  booktitle={ICML 2024 Workshop on Structured Probabilistic Inference & Generative Modeling},
+  year={2024},
+  pdf={https://arxiv.org/pdf/2411.17236},
+  selected={false}
 }
 
 @inproceedings{liu2024information,
@@ -23,9 +182,10 @@ @inproceedings{liu2024information
   booktitle={IEEE International Symposium on Information Theory (ISIT)},
   year={2024},
   pdf={https://arxiv.org/pdf/2403.19895},
-  selected={true}
+  selected={false}
 }
 
+
 @article{yan2024swingnn,
   abbr={TMLR},
   bibtex_show={true},
@@ -35,7 +195,7 @@ @article{yan2024swingnn
   year={2024},
   pdf={https://arxiv.org/pdf/2307.01646},
   code={https://github.com/DSL-Lab/SwinGNN},
-  selected={true}  
+  selected={false}  
 }
 
 @inproceedings{mahdavi2024memorization,
@@ -47,7 +207,7 @@ @inproceedings{mahdavi2024memorization
   year={2024},
   pdf={https://arxiv.org/pdf/2306.02010},
   code={https://github.com/smahdavi4/attention-memorization},  
-  selected={true}
+  selected={false}
 }
 
 @inproceedings{du2024generative,
@@ -60,7 +220,7 @@ @inproceedings{du2024generative
   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}
+  selected={false}
 }
 
 @inproceedings{mahdavi2024revisiting,
@@ -71,7 +231,8 @@ @inproceedings{mahdavi2024revisiting
   booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
   pages={7410--7414},
   year={2024},  
-  selected={false},  
+  selected={false},
+  pdf={https://ieeexplore.ieee.org/document/10446522},
   organization={IEEE}
 }
 
@@ -105,7 +266,7 @@ @article{gao2022learning
   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},
+  selected={false},
   pdf={https://arxiv.org/pdf/2211.07082},
   year={2022}
 }
@@ -115,12 +276,12 @@ @inproceedings{bo2023specformer
   bibtex_show={true},
   title={Specformer: Spectral Graph Neural Networks Meet Transformers},
   author={Bo, Deyu and Shi, Chuan and Wang, Lele and Liao, Renjie},
-  booktitle={The International Conference on Learning Representations},
+  booktitle={International Conference on Learning Representations (ICLR)},
   %preview={brownian-motion.gif},
   %altmetric={248277},
   pdf={https://openreview.net/pdf?id=0pdSt3oyJa1},
   code={https://github.com/DSL-Lab/Specformer},
-  selected={true},
+  selected={false},
   year={2023}
 }
 
@@ -133,15 +294,15 @@ @article{li2023graphpnas
   year={2023},
   pdf={https://openreview.net/pdf?id=ok18jj7cam},
   code={https://github.com/DSL-Lab/GraphPNAS},  
-  selected={true}  
+  selected={false}  
 }
 
 @inproceedings{ren2023scaling,
   abbr={ICLR},
   bibtex_show={true},
   title={Scaling Forward Gradient With Local Losses},
   author={Ren, Mengye and Kornblith, Simon and Liao, Renjie and Hinton, Geoffrey},
-  booktitle={The Eleventh International Conference on Learning Representations},
+  booktitle={International Conference on Learning Representations (ICLR)},
   pdf={https://arxiv.org/pdf/2210.03310.pdf},
   code={https://github.com/google-research/google-research/tree/master/local_forward_gradient},  
   year={2023}
@@ -152,10 +313,10 @@ @article{mahdavi2023towards
   bibtex_show={true},
   title={Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks},
   author={Mahdavi, Sadegh and Swersky, Kevin and Kipf, Thomas and Hashemi, Milad and Thrampoulidis, Christos and Liao, Renjie},
-  journal={Transactions on Machine Learning Research},
+  journal={Transactions on Machine Learning Research (TMLR)},
   pdf={https://arxiv.org/pdf/2211.00692.pdf},
   code={https://github.com/DSL-Lab/clrs},
-  selected={true},
+  selected={false},
   year={2023}
 }
 
@@ -164,7 +325,7 @@ @inproceedings{mokhtari2023echoglad
   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},
+  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
   pages={227--237},
   year={2023},
   pdf={https://arxiv.org/pdf/2307.12229},
@@ -177,7 +338,7 @@ @inproceedings{mokhtari2023gemtrans
   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)},
+  booktitle={MICCAI International Workshop on Machine Learning in Medical Imaging (Best Paper Award)},
   pages={1--10},
   year={2023},
   pdf={https://arxiv.org/pdf/2308.13217},
@@ -190,7 +351,7 @@ @inproceedings{ravi2023vlc
   bibtex_show={true},
   title={VLC-BERT: visual question answering with contextualized commonsense knowledge},
   author={Ravi, Sahithya and Chinchure, Aditya and Sigal, Leonid and Liao, Renjie and Shwartz, Vered},
-  booktitle={IEEE/CVF Winter Conference on Applications of Computer Vision},
+  booktitle={IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
   pdf={https://openaccess.thecvf.com/content/WACV2023/papers/Ravi_VLC-BERT_Visual_Question_Answering_With_Contextualized_Commonsense_Knowledge_WACV_2023_paper.pdf},
   code={https://github.com/aditya10/VLC-BERT},
   pages={1155--1165},
@@ -203,7 +364,7 @@ @inproceedings{sun2023neuralbf
   bibtex_show={true},
   title={NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds},
   author={Sun, Weiwei and Rebain, Daniel and Liao, Renjie and Tankovich, Vladimir and Yazdani, Soroosh and Yi, Kwang Moo and Tagliasacchi, Andrea},
-  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
+  booktitle={IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
   pages={551--560},
   pdf={https://openaccess.thecvf.com/content/WACV2023/papers/Sun_NeuralBF_Neural_Bilateral_Filtering_for_Top-Down_Instance_Segmentation_on_Point_WACV_2023_paper.pdf},
   html={https://neuralbf.github.io/},
@@ -217,7 +378,7 @@ @inproceedings{mokhtari2022echognn
   bibtex_show={true},
   title={EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks},
   author={Mokhtari, Masoud and Tsang, Teresa and Abolmaesumi, Purang and Liao, Renjie},
-  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
+  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
   pdf={https://arxiv.org/pdf/2208.14003.pdf},
   code={https://github.com/DSL-Lab/echognn},
   pages={360--369},

_data/repositories.yml

@@ -10,9 +10,18 @@ github_users:
   - michaelfliu
 
 github_repos:
+  - DSL-Lab/UniEdit-Flow
+  - DSL-Lab/StreamSplat
+  - DSL-Lab/TrajFlow
+  - DSL-Lab/MoFlow
+  - DSL-Lab/aops
+  - DSL-Lab/SymmetricDiffusers
+  - DSL-Lab/FVMD-frechet-video-motion-distance
   - DSL-Lab/GRBM
+  - DSL-Lab/GPGVAE
   - DSL-Lab/Specformer
   - DSL-Lab/clrs
   - DSL-Lab/echognn
   - DSL-Lab/SwinGNN
   - DSL-Lab/HPC_helper
+

_news/announcement_2025_aug_04.md

@@ -0,0 +1,9 @@
+---
+layout: post
+date: 2025-08-04
+inline: true
+related_posts: false
+---
+
+Our work **An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics** was accepted for publication in the IEEE Transactions on Information Theory (TIT).
+Congratulations to Wenliang!

_news/announcement_2025_feb_11.md

@@ -0,0 +1,9 @@
+---
+layout: post
+date: 2025-02-11
+inline: true
+related_posts: false
+---
+
+Our work **SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups** was accepted in International Conference on Learning Representations (ICLR) 2025 as an **Oral Presentation (top 1.8%)**.
+Congratulations to Nick and Donglin!

_news/announcement_2025_feb_26.md

@@ -0,0 +1,9 @@
+---
+layout: post
+date: 2025-02-26
+inline: true
+related_posts: false
+---
+
+Our works **MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation** and **LatentHOI: On the Generalizable Hand Object Motion Generation with Latent Hand Diffusion** were accepted in IEEE/CVF Conference on Computer Vision and Pattern Recognition Conference (CVPR) 2025.
+Congratulations to Felix, Qi, and Muchen!

_news/announcement_2025_jul_21.md

@@ -0,0 +1,9 @@
+---
+layout: post
+date: 2025-07-21
+inline: true
+related_posts: false
+---
+
+Our work **Learning Latent Part-Whole Hierarchies for Point Clouds** was accepted for publication in the International Journal of Computer Vision (IJCV).
+Congratulations to Xiang!