Graph Laplacian Learning with Exponential Family Noise, C. Shi and G. Mishne, in submission.

Cartesian Product Graph Learning with Laplacian Constraints, C. Shi and G. Mishne, The 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024).

Conditional Image-to-Video Generation with Latent Flow Diffusion Models, H. Ni, C. Shi, K. Li, S. X. Huang and M. R. Min, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023).

Exploring Compositional Visual Generation with Latent Classifier Guidance, C. Shi, H. Ni, K. Li, S. Han, M. Liang and M. R. Min, Workshops of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPRW 2023).

Learning Disentangled Behavior Embeddings, C. Shi, S. Schwartz, S. Levy, S. Achvat, M. Abboud, A. Ghanayim, J. Schiller and G. Mishne, The 35th Conference on Neural Information Processing Systems (NeurIPS 2021).

Online adversarial purification based on self-supervised learning, C. Shi, C. Holtz and G. Mishne, The 9th International Conference on Learning Representations (ICLR 2021).

Provable Robustness by Geometric Regularization of ReLU Networks, C. Holtz, C. Shi and G. Mishne, in arXiv.