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ORCIDXin Ding 0004
Person information
- affiliation: Nanjing University of Information Science and Technology, School of Artificial Intelligence, Nanjing, China
- affiliation (PhD 2021): University of British Columbia, Department of Statistics, Vancouver, Canada
Other persons with the same name
- Xin Ding — disambiguation page
- Xin Ding 0001 — University of Cambridge, Computer Laboratory, UK
- Xin Ding 0002 — Zhejiang University, College of Computer Science, China
- Xin Ding 0003
![[0000-0002-5919-0641]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5919-0641")
— Southeast University, National ASIC Research Center, Nanjing, China
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Journal Articles
- 2026
[j6]Kangtao Lv, Wenyan Fan, Huangsen Cao, Kainan Tu, Yihuai Xu, Zhimeng Zhang, Yang Li, Xin Ding, Yongwei Wang:
Hyper adversarial tuning for boosting adversarial robustness of pretrained large vision transformers. Pattern Recognit. 171: 112158 (2026)- 2023
- [j5]Xin Ding, Yongwei Wang, Zuheng Xu, Z. Jane Wang, William J. Welch:
Distilling and transferring knowledge via cGAN-generated samples for image classification and regression. Expert Syst. Appl. 213(Part C): 119060 (2023) - [j4]Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch:
Efficient subsampling of realistic images from GANs conditional on a class or a continuous variable. Neurocomputing 517: 188-200 (2023) - [j3]Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang:
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8143-8158 (2023) - 2021
- [j2]Yongwei Wang, Xin Ding, Yixin Yang, Li Ding, Rabab Ward, Z. Jane Wang:
Perception matters: Exploring imperceptible and transferable anti-forensics for GAN-generated fake face imagery detection. Pattern Recognit. Lett. 146: 15-22 (2021) - 2020
- [j1]Xin Ding, Z. Jane Wang, William J. Welch:
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space With Softplus Loss. IEEE Trans. Signal Process. 68: 1910-1922 (2020)
Conference and Workshop Papers
- 2024
- [c4]Xin Ding, Yongwei Wang, Zuheng Xu:
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks. AAAI 2024: 11802-11810 - 2021
- [c3]Xin Ding, Qiong Zhang, William J. Welch:
Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images Based on Annotation-Free Training Samples. CICAI 2021: 662-673 - [c2]Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang:
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation. ICLR 2021 - [c1]Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang:
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework. ACM Multimedia 2021: 4564-4572
Informal and Other Publications
- 2025
- [i11]Xin Ding, Yun Chen, Yongwei Wang, Kao Zhang, Sen Zhang, Peibei Cao, Xiangxue Wang:
Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization. CoRR abs/2508.01725 (2025) - 2024
- [i10]Xin Ding, Yongwei Wang, Kao Zhang, Z. Jane Wang:
CCDM: Continuous Conditional Diffusion Models for Image Generation. CoRR abs/2405.03546 (2024) - [i9]Kangtao Lv, Huangsen Cao, Kainan Tu, Yihuai Xu, Zhimeng Zhang, Xin Ding, Yongwei Wang:
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models. CoRR abs/2410.05951 (2024) - [i8]Huangsen Cao, Yongwei Wang, Yinfeng Liu, Sixian Zheng, Kangtao Lv, Zhimeng Zhang, Bo Zhang, Xin Ding, Fei Wu:
HyperDet: Generalizable Detection of Synthesized Images by Generating and Merging A Mixture of Hyper LoRAs. CoRR abs/2410.06044 (2024) - 2023
- [i7]Xin Ding, Yongwei Wang, Zuheng Xu:
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks. CoRR abs/2308.10273 (2023) - 2021
- [i6]Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch:
Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks. CoRR abs/2103.11166 (2021) - [i5]Xin Ding, Z. Jane Wang, Zuheng Xu, Yongwei Wang, William J. Welch:
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression. CoRR abs/2104.03164 (2021) - [i4]Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang:
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework. CoRR abs/2108.00180 (2021) - 2020
- [i3]Xin Ding, Qiong Zhang, William J. Welch:
Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples. CoRR abs/2010.14782 (2020) - [i2]Yongwei Wang, Xin Ding, Li Ding, Rabab Ward, Z. Jane Wang:
Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection. CoRR abs/2010.15886 (2020) - [i1]Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang:
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation. CoRR abs/2011.07466 (2020)
Coauthor Index
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