Faye Zhang - RankMe

23 papers Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Collaborative generalization diagnosis to unknown operating conditions of transmission systems considering the scenarios of target data missing on training stage. Adv. Eng. Informatics Fuzheng Liu, Wenyu Wang, Xiangyi Geng, Faye Zhang, Mingshun Jiang
2026	J	`jnl`	Generative Engine Optimization: A VLM and Agent Framework for Pinterest Acquisition Growth. CoRR Faye Zhang, Qianyu Cheng, Jasmine Wan, Vishwakarma Singh, Jinfeng Rao, Kofi Boakye
2026	J	`jnl`	Universal Fault Diagnosis With Unknown Label Space of Machineries Based on Evaluate-Match-Constrain Transfer Network. IEEE Trans. Ind. Informatics Fuzheng Liu, Xiaolin Liu, Chenglong Ye, Xuebin Lv, Haidong Shao, Faye Zhang, Mingshun Jiang
2025	J	`jnl`	An End-to-End Self-Supervised Contrast Learning Network Embedded With Prior Knowledge for Laser Doppler Signals Denoising. IEEE Trans. Instrum. Meas. Anqi Li, Yu'an Bao, Faye Zhang, Chang Peng, Xiaolin Liu, Shizhen Qiu, Fuzheng Liu, Mingshun Jiang
2025	J	`jnl`	Damage Localization in CFRP Composites Based on Distributionally Robust Methods and Ultrasonic Guided Waves. IEEE Trans. Instrum. Meas. Mengting Ye, Feiyu Teng, Hong Zhang, Shanshan Lv, Lei Zhang, Faye Zhang, Mingshun Jiang
2025	J	`jnl`	Deformation and Load Detection of Wing Structure Based on Load-Strain Linear Superposition. IEEE Trans. Instrum. Meas. Jian Li, Shangen Li, Yangyang Cheng, Yuru wang, Lei Zhang, Faye Zhang, Mingshun Jiang
2025	J	`jnl`	Filter-Match-Interact Transfer Framework for Machineries Open-Set Fault Diagnosis. IEEE Trans. Ind. Informatics Fuzheng Liu, Xiangyi Geng, Longqing Fan, Mingshun Jiang, Faye Zhang
2025	J	`jnl`	Global and auxiliary prototypes complementary framework for machineries multi-source collaborative fault diagnosis. Adv. Eng. Informatics Fuzheng Liu, Xiaolin Liu, Chenglong Ye, Tongzhuo Han, Xuebin Lv, Longqing Fan, Mingshun Jiang, Faye Zhang
2025	J	`jnl`	Novel source domain filtering dual classifier network with adaptive pseudo label refinement for partial domain fault diagnosis. Neurocomputing Xiaolin Liu, Fuzheng Liu, Tongzhuo Han, Longqing Fan, Xiangyi Geng, Mingshun Jiang, Faye Zhang
2025	J	`jnl`	Physics-inspired deep learning network using dilated kronecker convolution for rotary machines under variable operating conditions. J. Frankl. Inst. Asim Shahzad, Fuzheng Liu, Mingshun Jiang, Faye Zhang, Liying Ren
2025	J	`jnl`	PinLanding: Content-First Keyword Landing Page Generation via Multi-Modal AI for Web-Scale Discovery. CoRR Faye Zhang, Jasmine Wan, Qianyu Cheng, Jinfeng Rao
2025	J	`jnl`	Residual-optimized general linear chirplet transform: A method for time-frequency feature extraction. Signal Process. Fuzheng Liu, Chenglong Ye, Chang Peng, Xiangyi Geng, Mingshun Jiang, Lei Zhang, Faye Zhang
2024	J	`jnl`	Balance-blended adversarial distribution and smooth-suppressed labels refinement network for partial transfer fault diagnosis. Eng. Appl. Artif. Intell. Fuzheng Liu, Haomiao Wang, Mingshun Jiang, Faye Zhang
2024	J	`jnl`	Cross-domain open-set rolling bearing fault diagnosis based on feature improvement adversarial network under noise condition. J. Intell. Fuzzy Syst. Haomiao Wang, Yibin Li, Mingshun Jiang, Faye Zhang
2024	J	`jnl`	Damage Location Method of Pipeline Structure by Ultrasonic Guided Wave Based on Probability Fusion. IEEE Trans. Instrum. Meas. Hong Zhang, Feiyu Teng, Juntao Wei, Shanshan Lv, Lei Zhang, Faye Zhang, Mingshun Jiang
2024	J	`jnl`	Multiscale convolutional conditional domain adversarial network with channel attention for unsupervised bearing fault diagnosis. J. Syst. Control. Eng. Haomiao Wang, Yibin Li, Mingshun Jiang, Faye Zhang
2023	J	`jnl`	Load Identification of High-Speed Train Crossbeams Using Neural Network Method: Simulated and Experimental Studies. IEEE Trans. Instrum. Meas. Zhaohua Li, Yangyang Cheng, Lei Zhang, Shuxian Wang, Tao Xu, Faye Zhang, Qingmei Sui, Mingshun Jiang
2023	J	`jnl`	Modified Lamb Wave Delay Factor-Based Multiply-Sum Probabilistic Diagnostic Imaging Algorithm of Composite Structures. IEEE Trans. Instrum. Meas. Lingyu Sun, Juntao Wei, Chang Peng, Zengye Ju, Shanshan Lv, Faye Zhang, Lei Zhang, Lei Jia, Mingshun Jiang
2023	J	`jnl`	Structural discrepancy and domain adversarial fusion network for cross-domain fault diagnosis. Adv. Eng. Informatics Fuzheng Liu, Faye Zhang, Xiangyi Geng, Lin Mu, Lei Zhang, Qingmei Sui, Lei Jia, Mingshun Jiang, Junwei Gao
2022	J	`jnl`	Maximum average impulse energy ratio deconvolution and its application for periodic fault impulses enhancement of rolling bearing. Adv. Eng. Informatics Jinxi Wang, Faye Zhang, Lei Zhang, Mingshun Jiang
2021	J	`jnl`	Phase Demodulation Method for Fringe Projection Measurement Based on Improved Variable-Frequency Coded Patterns. Sensors Shanshan Lv, Mingshun Jiang, Chenhui Su, Lei Zhang, Faye Zhang, Qingmei Sui, Lei Jia
2020	J	`jnl`	Phase Difference-3D Coordinate Mapping Model of Structural Light Imaging System Based on Extreme Learning Machine Network. IEEE Access Shanshan Lv, Mingshun Jiang, Chenhui Su, Lei Zhang, Faye Zhang, Qingmei Sui, Lei Jia
2019	J	`jnl`	Damage imaging for composite using Lamb wave based on minimum variance distortion-less response method. Trans. Inst. Meas. Control Chenhui Su, Mingshun Jiang, Shanshan Lv, Lei Zhang, Faye Zhang, Shizeng Lu, Qingmei Sui

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.