Wenxin Ding

According to our database, Wenxin Ding authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DRFusionRec: Enhancing Rationality and Diversity in Garment Recommendations.

Wenxin Ding, Xiangdong Huang, Shufang Zhang

IEEE Trans. Circuits Syst. Video Technol., May, 2026

2025

LiteMP-VTON: A Knowledge-Distilled Diffusion Model for Realistic and Efficient Virtual Try-On.

Shufang Zhang, Lei Wang, Wenxin Ding

Inf., 2025

From visual understanding to 6D pose reconstruction: A cutting-edge review of deep learning-based object pose estimation.

Jing Wang, Guohan Liu, Wenxin Ding, Yuying Li, Wanying Song

Displays, 2025

Diffusion model-based size variable virtual try-on technology and evaluation method.

Shufang Zhang, Hang Qian, Minxue Ni, Yaxuan Li, Wenxin Ding, Jun Liu

Comput. Graph., 2025

2024

A Two-Stage Personalized Virtual Try-On Framework With Shape Control and Texture Guidance.

Shufang Zhang, Minxue Ni, Shuai Chen, Lei Wang, Wenxin Ding, Yuhong Liu

IEEE Trans. Multim., 2024

Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.

Shawn Shan, Wenxin Ding, Josephine Passananti, Stanley Wu, Haitao Zheng, Ben Y. Zhao

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Towards Scalable and Robust Model Versioning.

Wenxin Ding, Arjun Nitin Bhagoji, Ben Y. Zhao, Haitao Zheng

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Understanding Implosion in Text-to-Image Generative Models.

Wenxin Ding, Cathy Yuanchen Li, Shawn Shan, Ben Y. Zhao, Hai-Tao Zheng

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

A Two-stage Personalized Virtual Try-on Framework with Shape Control and Texture Guidance.

Shufang Zhang, Minxue Ni, Lei Wang, Wenxin Ding, Shuai Chen, Yuhong Liu

CoRR, 2023

Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.

Shawn Shan, Wenxin Ding, Josephine Passananti, Haitao Zheng, Ben Y. Zhao

CoRR, 2023

Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker.

Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Ben Y. Zhao, Haitao Zheng, Prateek Mittal

CoRR, 2023

Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker.

Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Heather Zheng, Ben Zhao, Prateek Mittal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Calibration with Privacy in Peer Review.

Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah

Proceedings of the IEEE International Symposium on Information Theory, 2022

Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models.

Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

No-reference Panoramic Image Quality Assessment based on Adjacent Pixels Correlation.

Wenxin Ding, Ping An, Xin Liu, Chao Yang, Xinpeng Huang

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2021

2020

On the Privacy-Utility Tradeoff in Peer-Review Data Analysis.

Wenxin Ding, Nihar B. Shah, Weina Wang

CoRR, 2020

2019

Virtual Reality Video Quality Assessment Based on 3d Convolutional Neural Networks.

Pei Wu, Wenxin Ding, Zhixiang You, Ping An

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019