HJ-Hadoop: an optimized mapreduce runtime for multi-core systems. - Yunming Zhang (SPLASH (Companion Volume), 2013)

Optimizing Indirect Memory References with milk. - Vladimir Kiriansky; Yunming Zhang; Saman P. Amarasinghe (PACT, 2016)

Optimizing Cache Performance for Graph Analytics. - Yunming Zhang; Vladimir Kiriansky; Charith Mendis; Matei Zaharia; Saman P. Amarasinghe (CoRR, 2016)

Making caches work for graph analytics. - Yunming Zhang; Vladimir Kiriansky; Charith Mendis; Saman P. Amarasinghe; Matei Zaharia (IEEE BigData, 2017)

GraphIt - A High-Performance DSL for Graph Analytics. - Yunming Zhang; Mengjiao Yang 001; Riyadh Baghdadi; Shoaib Kamil 001; Julian Shun; Saman P. Amarasinghe (CoRR, 2018)

GraphIt: a high-performance graph DSL. - Yunming Zhang; Mengjiao Yang 001; Riyadh Baghdadi; Shoaib Kamil 001; Julian Shun; Saman P. Amarasinghe (Proc. ACM Program. Lang., 2018)

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 001; Saman P. Amarasinghe (CGO, 2019)

PriorityGraph: A Unified Programming Model for Optimizing Ordered Graph Algorithms. - Yunming Zhang; Ajay Brahmakshatriya; Xinyi Chen; Laxman Dhulipala; Shoaib Kamil 001; Saman P. Amarasinghe; Julian Shun (CoRR, 2019)

Optimizing ordered graph algorithms with GraphIt. - Yunming Zhang; Ajay Brahmakshatriya; Xinyi Chen; Laxman Dhulipala; Shoaib Kamil 001; Saman P. Amarasinghe; Julian Shun (CGO, 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 001; Kevin Deweese; Jesun Firoz; Henry A. Gabb; Gurbinder Gill; et al. (IISWC, 2020)

Compliation Techniques for Graphs Algorithms on GPUs. - Ajay Brahmakshatriya; Yunming Zhang; Changwan Hong; Shoaib Kamil 001; Julian Shun; Saman P. Amarasinghe (CoRR, 2020)

Compiling Graph Applications for GPU s with GraphIt. - Ajay Brahmakshatriya; Yunming Zhang; Changwan Hong; Shoaib Kamil 001; Julian Shun; Saman P. Amarasinghe (CGO, 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; et al. (ISCA, 2021)

Efficient Stepping Algorithms and Implementations for Parallel Shortest Paths. - Xiaojun Dong 001; Yan Gu 001; Yihan Sun 001; Yunming Zhang (SPAA, 2021)

JND-aware robust image watermarking with tri-directional inter-block correlation. - Yunming Zhang; Zhenhua Wang; Yantong Zhan; Lili Meng; Jiande Sun 001; Wenbo Wan (Int. J. Intell. Syst., 2021)

A comprehensive survey on robust image watermarking. - Wenbo Wan; Jun Wang 061; Yunming Zhang; Jing Li 046; Hui Yu 001; Jiande Sun 001 (Neurocomputing, 2022)

mShield: Protecting In-process Sensitive Data Against Vulnerable Third-Party Libraries. - Yunming Zhang; Quanwei Cai 001; Houqiang Li; Jingqiang Lin 001; Wei Wang 335 (SecureComm (1), 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)

Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking against Face Swapping. - Yunming Zhang; Dengpan Ye; Caiyun Xie; Long Tang; Chuanxi Chen; Ziyi Liu 009; Jiacheng Deng 003 (CoRR, 2023)

Towards perceptual image watermarking with robust texture measurement. - Yunming Zhang; Yuxin Gong; Jun Wang 061; Jiande Sun 001; Wenbo Wan (Expert Syst. Appl., 2023)

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 (AAAI, 2024)

AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies. - Rui Wang; Dengpan Ye; Long Tang; Yunming Zhang; Jiacheng Deng 003 (CoRR, 2024)

Double Privacy Guard: Robust Traceable Adversarial Watermarking against Face Recognition. - Yunming Zhang; Dengpan Ye; Sipeng Shen; Caiyun Xie; Ziyi Liu 009; Jiacheng Deng 003; Long Tang (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)

TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN. - Ziyi Liu 009; Dengpan Ye; Long Tang; Yunming Zhang; Jiacheng Deng 001 (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 003; Jiawei Song (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)

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 003; Ziyi Liu 009 (CoRR, 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 001 (IEEE Signal Process. Lett., 2024)

Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking Against Face Swapping. - Yunming Zhang; Dengpan Ye; Caiyun Xie; Long Tang; Xin Liao 001; Ziyi Liu 009; Chuanxi Chen; Jiacheng Deng 003 (IEEE Trans. Inf. Forensics Secur., 2024)

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)

StyleMark: Robust Style Watermarking for Artworks Against Black-Box Zero-Shot Style Transfer. - Yunming Zhang; Dengpan Ye; Sipeng Shen; Jun Wang; Caiyun Xie (IEEE Trans. Inf. Forensics Secur., 2025)

TEAM: Temporal Adversarial Examples Attack Model Against Network Intrusion Detection System Applied to RNN. - Ziyi Liu 009; Dengpan Ye; Long Tang; Yunming Zhang; Jiacheng Deng 001; Wanrong Kuang (IEEE Trans. Netw. Sci. Eng., 2025)

Feature Extraction Matters More: An Effective and Efficient Universal Deepfake Disruptor. - Long Tang; Dengpan Ye; Zhenhao Lu; Yunming Zhang; Chuanxi Chen (ACM Trans. Multim. Comput. Commun. Appl., 2025)

The Interpretable and Transferable Adversarial Attack against Synthetic Speech Detectors. - Jiacheng Deng 001; Dengpan Ye; Jizhi Li; Ziyi Liu 009; Long Tang; Yunming Zhang (ACM Trans. Multim. Comput. Commun. Appl., 2025)