Understanding Memorization and Generalization of Diffusion Models (Slides, Video)

• Huijie Zhang*, Jinfan Zhou*, Yifu Lu, Minzhe Guo, Liyue Shen, Qing Qu. The Emergence of Reproducibility and Consistency in Diffusion Models. International Conference on Machine Learning (ICML’24), 2024.
  Preprint – PDF –  BibTex – Slides – Code – Website
• Peng Wang*, Huijie Zhang*, Zekai Zhang, Siyi Chen, Yi Ma, Qing Qu. Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering. Arxiv Preprint arXiv:2409.02426, 2024.
  Preprint – PDF –  BibTex – Code – Website
• Xiang Li, Yixiang Dai, Qing Qu. Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure. Neural Information Processing Systems (NeurIPS’24), 2024.
  Preprint – PDF –  BibTex

Controlled Generation via Diffusion Models

• Siyi Chen*, Huijie Zhang*, Minzhe Guo, Yifu Lu, Peng Wang, Qing Qu. Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing. Neural Information Processing Systems (NeurIPS’24), 2024.
  Preprint – PDF –  BibTex – Code – Project Website
• Xiang Li, Soo Min Kwon, Ismail R. Alkhouri, Saiprasad Ravishankar, Qing Qu. Decoupled Data Consistency with Diffusion Purification for Image Restoration. ArXiv Preprint arXiv:2403.06054, 2024.
  Preprint – PDF –  BibTex
• Bowen Song*, Soo Min Kwon*, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen. Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency. International Conference on Learning Representations (ICLR’24), 2024. (spotlight, top 5%)
  Preprint – PDF –  BibTex

Representation Learning in Diffusion Models

• Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu. Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling. Arxiv Preprint arXiv:2502.05743, 2025.
  Preprint – PDF –  BibTex

Safety and Copyright of Diffusion Models

• Wenda Li*, Huijie Zhang*, Qing Qu. Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models. Arxiv Preprint arXiv:2410.21088, 2024.
  Preprint – PDF –  BibTex – Code – Project Website

Improving Efficiency of Diffusion Models:

• Huijie Zhang*, Yifu Lu*, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu. Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures. Conference on Computer Vision and Pattern Recognition (CVPR’24), 2024.
  Preprint – PDF –  BibTex – Code – Project Website
• Changwoo Lee, Soo Min Kwon, Qing Qu, Hun-Seok Kim. BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference. Neural Information Processing Systems (NeurIPS’24), 2024.
  Preprint – PDF –  BibTex – Code
• Huminhao Zhu, Fangyikang Wang, Tianyu Ding, Qing Qu, Zhihui Zhu. Analyzing and Improving Model Collapse in Rectified Flow Models. Arxiv Preprint arXiv:2412.08175, 2024.
  Preprint – PDF –  BibTex