Wenxin Ding

21 papers A* 4B 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Diffusion Model-Based Size Variable Virtual Try-On Technology and Evaluation Method.
CoRR
Shufang Zhang, Hang Qian, Minxue Ni, Yaxuan Li, Wenxin Ding, Jun Liu
2025 J jnl
Diffusion model-based size variable virtual try-on technology and evaluation method.
Comput. Graph.
Shufang Zhang, Hang Qian, Minxue Ni, Yaxuan Li, Wenxin Ding, Jun Liu
2025 J jnl
From visual understanding to 6D pose reconstruction: A cutting-edge review of deep learning-based object pose estimation.
Displays
Jing Wang, Guohan Liu, Wenxin Ding, Yuying Li, Wanying Song
2025 J jnl
LiteMP-VTON: A Knowledge-Distilled Diffusion Model for Realistic and Efficient Virtual Try-On.
Inf.
Shufang Zhang, Lei Wang, Wenxin Ding
2024 J jnl
A Two-Stage Personalized Virtual Try-On Framework With Shape Control and Texture Guidance.
IEEE Trans. Multim.
Shufang Zhang, Minxue Ni, Shuai Chen, Lei Wang, Wenxin Ding, Yuhong Liu
2024 A* conf
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.
SP
Shawn Shan, Wenxin Ding, Josephine Passananti, Stanley Wu, Haitao Zheng, Ben Y. Zhao
2024 — conf
Towards Scalable and Robust Model Versioning.
SaTML
Wenxin Ding, Arjun Nitin Bhagoji, Ben Y. Zhao, Haitao Zheng
2024 J jnl
Towards Scalable and Robust Model Versioning.
CoRR
Wenxin Ding, Arjun Nitin Bhagoji, Ben Y. Zhao, Haitao Zheng
2024 A* conf
Understanding Implosion in Text-to-Image Generative Models.
CCS
Wenxin Ding, Cathy Yuanchen Li, Shawn Shan, Ben Y. Zhao, Hai-Tao Zheng
2024 J jnl
Understanding Implosion in Text-to-Image Generative Models.
CoRR
Wenxin Ding, Cathy Yuanchen Li, Shawn Shan, Ben Y. Zhao, Haitao Zheng
2023 J jnl
A Two-stage Personalized Virtual Try-on Framework with Shape Control and Texture Guidance.
CoRR
Shufang Zhang, Minxue Ni, Lei Wang, Wenxin Ding, Shuai Chen, Yuhong Liu
2023 A* conf
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker.
NeurIPS
Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Heather Zheng, Ben Zhao, Prateek Mittal
2023 J jnl
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker.
CoRR
Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Ben Y. Zhao, Haitao Zheng, Prateek Mittal
2023 J jnl
Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.
CoRR
Shawn Shan, Wenxin Ding, Josephine Passananti, Haitao Zheng, Ben Y. Zhao
2022 B conf
Calibration with Privacy in Peer Review.
ISIT
Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah
2022 J jnl
Calibration with Privacy in Peer Review.
CoRR
Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B. Shah
2022 A* conf
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models.
CCS
Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao
2022 J jnl
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models.
CoRR
Shawn Shan, Wenxin Ding, Emily Wenger, Haitao Zheng, Ben Y. Zhao
2021 — conf
No-reference Panoramic Image Quality Assessment based on Adjacent Pixels Correlation.
BMSB
Wenxin Ding, Ping An, Xin Liu, Chao Yang, Xinpeng Huang
2020 J jnl
On the Privacy-Utility Tradeoff in Peer-Review Data Analysis.
CoRR
Wenxin Ding, Nihar B. Shah, Weina Wang
2019 B conf
Virtual Reality Video Quality Assessment Based on 3d Convolutional Neural Networks.
ICIP
Pei Wu, Wenxin Ding, Zhixiang You, Ping An