Xin Ding - RankMe

24 papers A* 3Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Diffusion-Based Quantitatively Controllable Image Generation via Matrix-Form EDM and Adaptive Vicinal Training. CoRR Xin Ding, Yun Chen, Sen Zhang, Kao Zhang, Nenglun Chen, Peibei Cao, Yongwei Wang, Fei Wu
2026	J	`jnl`	Hyper adversarial tuning for boosting adversarial robustness of pretrained large vision transformers. Pattern Recognit. Kangtao Lv, Wenyan Fan, Huangsen Cao, Kainan Tu, Yihuai Xu, Zhimeng Zhang, Yang Li, Xin Ding, Yongwei Wang
2025	J	`jnl`	Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization. CoRR Xin Ding, Yun Chen, Yongwei Wang, Kao Zhang, Sen Zhang, Peibei Cao, Xiangxue Wang
2025	J	`jnl`	REVEAL: Reasoning-enhanced Forensic Evidence Analysis for Explainable AI-generated Image Detection. CoRR Huangsen Cao, Qin Mei, Zhiheng Li, Yuxi Li, Ying Zhang, Chen Li, Zhimeng Zhang, Xin Ding, Yongwei Wang, Jing Lyu, Fei Wu
2025	J	`jnl`	Tri-Memristor Hyperchaotic Ring Neural Network With Hidden Firings: Dynamic Analysis, Hardware Implementation, and Application to Image Encryption. IEEE Internet Things J. Jie Wang, Sen Zhang, Yuanjin Zheng, Yongxin Li, Chunbiao Li, Yichen Wang, Xin Ding
2024	J	`jnl`	CCDM: Continuous Conditional Diffusion Models for Image Generation. CoRR Xin Ding, Yongwei Wang, Kao Zhang, Z. Jane Wang
2024	J	`jnl`	Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models. CoRR Kangtao Lv, Huangsen Cao, Kainan Tu, Yihuai Xu, Zhimeng Zhang, Xin Ding, Yongwei Wang
2024	J	`jnl`	HyperDet: Generalizable Detection of Synthesized Images by Generating and Merging A Mixture of Hyper LoRAs. CoRR Huangsen Cao, Yongwei Wang, Yinfeng Liu, Sixian Zheng, Kangtao Lv, Zhimeng Zhang, Bo Zhang, Xin Ding, Fei Wu
2024	A*	`conf`	Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks. AAAI Xin Ding, Yongwei Wang, Zuheng Xu
2023	J	`jnl`	Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms. IEEE Trans. Pattern Anal. Mach. Intell. Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang
2023	J	`jnl`	Distilling and transferring knowledge via cGAN-generated samples for image classification and regression. Expert Syst. Appl. Xin Ding, Yongwei Wang, Zuheng Xu, Z. Jane Wang, William J. Welch
2023	J	`jnl`	Efficient subsampling of realistic images from GANs conditional on a class or a continuous variable. Neurocomputing Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch
2023	J	`jnl`	Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks. CoRR Xin Ding, Yongwei Wang, Zuheng Xu
2021	A*	`conf`	CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation. ICLR Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang
2021	—	`conf`	Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images Based on Annotation-Free Training Samples. CICAI Xin Ding, Qiong Zhang, William J. Welch
2021	A*	`conf`	Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework. ACM Multimedia Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang
2021	J	`jnl`	Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework. CoRR Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang
2021	J	`jnl`	Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression. CoRR Xin Ding, Z. Jane Wang, Zuheng Xu, Yongwei Wang, William J. Welch
2021	J	`jnl`	Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks. CoRR Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch
2021	J	`jnl`	Perception matters: Exploring imperceptible and transferable anti-forensics for GAN-generated fake face imagery detection. Pattern Recognit. Lett. Yongwei Wang, Xin Ding, Yixin Yang, Li Ding, Rabab Ward, Z. Jane Wang
2020	J	`jnl`	CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation. CoRR Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang
2020	J	`jnl`	Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples. CoRR Xin Ding, Qiong Zhang, William J. Welch
2020	J	`jnl`	Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection. CoRR Yongwei Wang, Xin Ding, Li Ding, Rabab Ward, Z. Jane Wang
2020	J	`jnl`	Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space With Softplus Loss. IEEE Trans. Signal Process. Xin Ding, Z. Jane Wang, William J. Welch