Yunming Zhang

According to our database, Yunming Zhang authored at least 30 papers between 2013 and 2025.

Collaborative distances:

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

2025

Trinity Detector: Text-Assisted and Attention Mechanisms Based Spectral Fusion for Diffusion Generation Image Detection.

Jiawei Song, Dengpan Ye, Yunming Zhang

IEEE Signal Process. Lett., 2025

2024

Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking Against Face Swapping.

Yunming Zhang, Dengpan Ye, Caiyun Xie, Long Tang, Xin Liao, Ziyi Liu, Chuanxi Chen, Jiacheng Deng

IEEE Trans. Inf. Forensics Secur., 2024

AVT$^{2}$-DWF: Improving Deepfake Detection With Audio-Visual Fusion and Dynamic Weighting Strategies.

Rui Wang, Dengpan Ye, Long Tang, Yunming Zhang, Jiacheng Deng

IEEE Signal Process. Lett., 2024

ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models.

Sipeng Shen, Yunming Zhang, Dengpan Ye, Xiuwen Shi, Long Tang, Haoran Duan, Jiacheng Deng, Ziyi Liu

CoRR, 2024

StyleMark: A Robust Watermarking Method for Art Style Images Against Black-Box Arbitrary Style Transfer.

Yunming Zhang, Dengpan Ye, Sipeng Shen, Jun Wang

CoRR, 2024

Take Fake as Real: Realistic-like Robust Black-box Adversarial Attack to Evade AIGC Detection.

Caiyun Xie, Dengpan Ye, Yunming Zhang, Long Tang, Yunna Lv, Jiacheng Deng, Jiawei Song

CoRR, 2024

TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN.

Ziyi Liu, Dengpan Ye, Long Tang, Yunming Zhang, Jiacheng Deng

CoRR, 2024

Trinity Detector:text-assisted and attention mechanisms based spectral fusion for diffusion generation image detection.

Jiawei Song, Dengpan Ye, Yunming Zhang

CoRR, 2024

Double Privacy Guard: Robust Traceable Adversarial Watermarking against Face Recognition.

Yunming Zhang, Dengpan Ye, Sipeng Shen, Caiyun Xie, Ziyi Liu, Jiacheng Deng, Long Tang

CoRR, 2024

AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies.

Rui Wang, Dengpan Ye, Long Tang, Yunming Zhang, Jiacheng Deng

CoRR, 2024

Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval.

Long Tang, Dengpan Ye, Yunna Lv, Chuanxi Chen, Yunming Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards perceptual image watermarking with robust texture measurement.

Yunming Zhang, Yuxin Gong, Jun Wang, Jiande Sun, Wenbo Wan

Expert Syst. Appl., June, 2023

Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking against Face Swapping.

Yunming Zhang, Dengpan Ye, Caiyun Xie, Long Tang, Chuanxi Chen, Ziyi Liu, Jiacheng Deng

CoRR, 2023

Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors.

Long Tang, Dengpan Ye, Zhenhao Lu, Yunming Zhang, Shengshan Hu, Yue Xu, Chuanxi Chen

CoRR, 2023

2022

A comprehensive survey on robust image watermarking.

Wenbo Wan, Jun Wang, Yunming Zhang, Jing Li, Hui Yu, Jiande Sun

Neurocomputing, 2022

2021

JND-aware robust image watermarking with tri-directional inter-block correlation.

Yunming Zhang, Zhenhua Wang, Yantong Zhan, Lili Meng, Jiande Sun, Wenbo Wan

Int. J. Intell. Syst., 2021

Efficient Stepping Algorithms and Implementations for Parallel Shortest Paths.

Xiaojun Dong, Yan Gu, Yihan Sun, Yunming Zhang

Proceedings of the SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 2021

Taming the Zoo: The Unified GraphIt Compiler Framework for Novel Architectures.

Ajay Brahmakshatriya, Emily Furst, Victor A. Ying, Claire Hsu, Changwan Hong, Max Ruttenberg, Yunming Zhang, Dai Cheol Jung, Dustin Richmond, Michael B. Taylor, Julian Shun, Mark Oskin, Daniel Sánchez, Saman P. Amarasinghe

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Compiling Graph Applications for GPU s with GraphIt.

Ajay Brahmakshatriya, Yunming Zhang, Changwan Hong, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020

Compliation Techniques for Graphs Algorithms on GPUs.

Ajay Brahmakshatriya, Yunming Zhang, Changwan Hong, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe

CoRR, 2020

Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite.

Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Timothy A. Davis, Kevin Deweese, Jesun Firoz, Henry A. Gabb, Gurbinder Gill, Bálint Hegyi, Scott P. Kolodziej, Tze Meng Low, Andrew Lumsdaine, Tugsbayasgalan Manlaibaatar, Timothy G. Mattson, Scott McMillan, Ramesh Peri, Keshav Pingali, Upasana Sridhar, Gábor Szárnyas, Yunming Zhang, Yongzhe Zhang

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

Optimizing ordered graph algorithms with GraphIt.

Yunming Zhang, Ajay Brahmakshatriya, Xinyi Chen, Laxman Dhulipala, Shoaib Kamil, Saman P. Amarasinghe, Julian Shun

Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020

2019

PriorityGraph: A Unified Programming Model for Optimizing Ordered Graph Algorithms.

Yunming Zhang, Ajay Brahmakshatriya, Xinyi Chen, Laxman Dhulipala, Shoaib Kamil, Saman P. Amarasinghe, Julian Shun

CoRR, 2019

Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code.

Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane, Emanuele Del Sozzo, Abdurrahman Akkas, Yunming Zhang, Patricia Suriana, Shoaib Kamil, Saman P. Amarasinghe

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2019

2018

GraphIt: a high-performance graph DSL.

Yunming Zhang, Mengjiao Yang, Riyadh Baghdadi, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe

Proc. ACM Program. Lang., 2018

GraphIt - A High-Performance DSL for Graph Analytics.

Yunming Zhang, Mengjiao Yang, Riyadh Baghdadi, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe

CoRR, 2018

2017

Making caches work for graph analytics.

Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Saman P. Amarasinghe, Matei Zaharia

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Optimizing Cache Performance for Graph Analytics.

Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Matei Zaharia, Saman P. Amarasinghe

CoRR, 2016

Optimizing Indirect Memory References with milk.

Vladimir Kiriansky, Yunming Zhang, Saman P. Amarasinghe

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2013

HJ-Hadoop: an optimized mapreduce runtime for multi-core systems.

Yunming Zhang

Proceedings of the SPLASH'13, 2013