Zhifei Zhang - Concepedia

Author

Zhifei Zhang

Adobe Systems (United States)ORCID

Also Known As

Zhang Zhifei, Zhang, Zhifei, Zhifei Zhang

Publications

2.3K

Citations

H-Index

Concepts

All Affiliations

Adobe Systems (United States)Wuhan University University of Tennessee at Knoxville Zhejiang University of Science and Technology Zhejiang University

About

Zhifei Zhang is an author at Adobe Systems (United States) specializing in deep learning, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	1.1K
2	Language Studies	2	2	113
3	Business	1	1	16
4	Natural Sciences	1	1	178
5	Communication	1	1	44

Zhifei Zhang

Publications

2.2K

Citations

H-Index

Page 1

	Year	Citations
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Zhibo Wang, Mengkai Song, Zhifei Zhang,	2019	790
Image Super-Resolution by Neural Texture Transfer Zhifei Zhang, Zhaowen Wang, Zhe Lin, EngineeringMachine LearningStyle TransferImage StylizationSuper-resolution Imaging	2019	367
Analyzing User-Level Privacy Attack Against Federated Learning Mengkai Song, Zhibo Wang, Zhifei Zhang, IEEE Journal on Selected Areas in Communications	2020	251
Feature Importance-aware Transferable Adversarial Attacks Zhibo Wang, Hengchang Guo, Zhifei Zhang, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Aggregate GradientEngineeringMachine LearningInformation ForensicsImage Analysis	2021	231
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model Shaoan Xie, Zhifei Zhang, Zhe Lin, EngineeringMachine LearningImage ManipulationDiffusion ModelMultimodal Llm	2023	178
Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach Xingqian Xu, Zhifei Zhang, Zhaowen Wang, EngineeringMachine LearningUser SegmentationText MiningNatural Language Processing	2021	67
ObjectStitch: Object Compositing with Diffusion Model Yizhi Song, Zhifei Zhang, Zhe Lin, EngineeringMachine LearningObject CompositingDiffusion ModelImage Analysis	2023	48
Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models Zhibo Wang, Xiaowei Dong, Henry Xue, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Artificial IntelligenceEngineeringMachine LearningDiscriminationDeployed Deep Models	2022	46
Invisible Adversarial Attack against Deep Neural Networks: An Adaptive Penalization Approach Zhibo Wang, Mengkai Song, Siyan Zheng, IEEE Transactions on Dependable and Secure Computing Deep Neural NetworksMachine VisionMachine LearningImage AnalysisAdaptive Penalization Approach	2019	45
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Zhibo Wang, Mengkai Song, Zhifei Zhang, arXiv (Cornell University) Privacy ProtectionEngineeringMachine LearningInformation SecurityFederated Structure	2018	44

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