| CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation X Ding, Y Wang, Z Xu, WJ Welch, ZJ Wang International Conference on Learning Representations 2021, 2021 | 65 | 2021 |
| Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms X Ding, Y Wang, Z Xu, WJ Welch, ZJ Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8143 …, 2023 | 33* | 2023 |
| Perception matters: Exploring imperceptible and transferable anti-forensics for GAN-generated fake face imagery detection Y Wang, X Ding, Y Yang, L Ding, R Ward, ZJ Wang Pattern Recognition Letters 146, 15-22, 2021 | 19 | 2021 |
| Subsampling generative adversarial networks: Density ratio estimation in feature space with softplus loss X Ding, ZJ Wang, WJ Welch IEEE Transactions on Signal Processing 68, 1910-1922, 2020 | 14 | 2020 |
| Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models X Ding, Z Qiu, X Chen Electronic Journal of Statistics 11 (2), 3871-3902, 2017 | 14 | 2017 |
| Distilling and transferring knowledge via cGAN-generated samples for image classification and regression X Ding, Y Wang, Z Xu, ZJ Wang, WJ Welch Expert Systems with Applications 213, 119060, 2023 | 13 | 2023 |
| Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable X Ding, Y Wang, ZJ Wang, WJ Welch Neurocomputing 517, 188-200, 2023 | 6* | 2023 |
| Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples X Ding, Q Zhang, WJ Welch The CAAI International Conference on Artificial Intelligence (CICAI 2021), 2020 | 5 | 2020 |
| Delving into deep image prior for adversarial defense: A novel reconstruction-based defense framework L Ding, Y Wang, X Ding, K Yuan, P Wang, H Huang, ZJ Wang Proceedings of the 29th ACM International Conference on Multimedia, 4564-4572, 2021 | 4 | 2021 |
| Regression-Oriented Knowledge Distillation for Lightweight Ship Orientation Angle Prediction with Optical Remote Sensing Images Z Shi, X Ding, P Ding, C Yang, R Huang, X Song arXiv preprint arXiv:2307.06566, 2023 | 2 | 2023 |
| Improved conditional generative adversarial networks for image generation: methods and their application in knowledge distillation X Ding University of British Columbia, 2021 | 1 | 2021 |
| Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks X Ding, Y Wang, Z Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11802 …, 2024 | | 2024 |
| Image Generation Using Continuous Conditional Generative Adversarial Networks X Ding, Y Wang, Z Xu, WJ Welch, ZJ Wang Generative Adversarial Learning: Architectures and Applications, 87-113, 2022 | | 2022 |
Z. Jane WangProfessor of Electrical and Computer Engineering Dept., University of British Columbia, CanadaVerified email at ece.ubc.ca
