| Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks Y Pang, S Cheng, J Hu, Y Liu CVPR 2021 Workshop on Adversarial Machine Learning in Real-World Computer …, 2021 | 15 | 2021 |
| Data-driven learning of 3-point correlation functions as microstructure representations S Cheng, Y Jiao, Y Ren Acta Materialia 229, 117800, 2022 | 11 | 2022 |
| WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models C Kim, K Min, M Patel, S Cheng, Y Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Robust Satellite Image Classification with Bayesian Deep Learning Y Pang, S Cheng, J Hu, Y Liu 2022 Integrated Communication, Navigation and Surveillance Conference (ICNS …, 2022 | 5 | 2022 |
| ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations M Patel, C Kim, S Cheng, C Baral, Y Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks S Cheng, Y Ren, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2 | 2022 |
| Adversarial Bayesian Augmentation for Single-Source Domain Generalization S Cheng, T Gokhale, Y Yang Proceedings of the IEEE/CVF International Conference on Computer Vision, pp …, 2023 | 1 | 2023 |
| A New Super-Resolution Measurement of Perceptual Quality and Fidelity S Cheng arXiv preprint arXiv:2303.06207, 2023 | | 2023 |
Yezhou (YZ) YangSchool of Computing and AI, Arizona State UniversityVerified email at asu.edu
