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2020 – today
- 2024
[c5]Changhao Shi, Gal Mishne:
Learning Cartesian Product Graphs with Laplacian Constraints. AISTATS 2024: 2521-2529- [i6]Changhao Shi, Gal Mishne:
Learning Cartesian Product Graphs with Laplacian Constraints. CoRR abs/2402.08105 (2024) - 2023
- [c4]Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang
, Martin Renqiang Min:
Exploring Compositional Visual Generation with Latent Classifier Guidance. CVPR Workshops 2023: 853-862 - [c3]Haomiao Ni, Changhao Shi, Kai Li, Sharon X. Huang, Martin Renqiang Min:
Conditional Image-to-Video Generation with Latent Flow Diffusion Models. CVPR 2023: 18444-18455 - [i5]Haomiao Ni, Changhao Shi, Kai Li, Sharon X. Huang, Martin Renqiang Min:
Conditional Image-to-Video Generation with Latent Flow Diffusion Models. CoRR abs/2303.13744 (2023) - [i4]Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min:
Exploring Compositional Visual Generation with Latent Classifier Guidance. CoRR abs/2304.12536 (2023) - [i3]Changhao Shi, Gal Mishne:
Graph Laplacian Learning with Exponential Family Noise. CoRR abs/2306.08201 (2023) - 2021
- [c2]Changhao Shi, Chester Holtz, Gal Mishne:
Online Adversarial Purification based on Self-supervised Learning. ICLR 2021 - [c1]Changhao Shi, Sivan Schwartz, Shahar Levy, Shay Achvat, Maisan Abboud, Amir Ghanayim, Jackie Schiller, Gal Mishne:
Learning Disentangled Behavior Embeddings. NeurIPS 2021: 22562-22573 - [i2]Changhao Shi, Chester Holtz, Gal Mishne:
Online Adversarial Purification based on Self-Supervision. CoRR abs/2101.09387 (2021) - [i1]Jiayu Ding, Yuchen Cao, Changhao Shi:
CropDefender: deep watermark which is more convenient to train and more robust against cropping. CoRR abs/2109.06651 (2021)
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