Yanwen Zhang - RankMe

19 papers Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EDGCN: An embedding-driven fusion framework for heterogeneity-aware motor imagery decoding. Inf. Fusion Chaowen Shen, Yanwen Zhang, Zejing Zhao, Akio Namiki
2024	J	`jnl`	Eliminating orthonormal constraints of SVD to guarantee full retrievability of blind watermarking. Multim. Tools Appl. Yanwen Zhang, Huiwen Wang, Jichang Zhao
2024	J	`jnl`	Redundant Feature-Processing Module Based on Dual-Branch for Underwater Image Enhancement. IEEE Trans. Instrum. Meas. Yanwen Zhang, Ziran Li, Akio Namiki
2023	J	`jnl`	Design and Application of a UAV Autonomous Inspection System for High-Voltage Power Transmission Lines. Remote. Sens. Ziran Li, Yanwen Zhang, Hao Wu, Satoshi Suzuki, Akio Namiki, Wei Wang
2023	J	`jnl`	Enhancing the SVD compression losslessly. J. Comput. Sci. Huiwen Wang, Yanwen Zhang, Jichang Zhao
2023	J	`jnl`	Reconstruction of Human-Induced Forest Loss in China during 1900-2000. Remote. Sens. Yanwen Zhang, Jiaqi Ding, Yueyao Wang, Yajuan Zhang, Yinglu Liu, Lijin Zhang, Muhadaisi Ariken, Tuya Wulan, Wenli Huang, Yan Li, Shuangcheng Li
2023	—	`conf`	Research on Aircraft Tracking Technology Based on Improved DeepSORT Algorithm. ICBAR Yanwen Zhang, Miao Wang, Yuwen Fu
2023	J	`jnl`	Space-Invariant Projection in Streaming Network Embedding. CoRR Yanwen Zhang, Huiwen Wang, Jichang Zhao
2023	J	`jnl`	Space-invariant projection in streaming network embedding. Inf. Sci. Yanwen Zhang, Huiwen Wang, Jichang Zhao
2022	J	`jnl`	A novel two-stage method of plant seedlings classification based on deep learning. J. Intell. Fuzzy Syst. Tianhong Dai, Shijie Cong, Jianping Huang, Yanwen Zhang, Xinwang Huang, Qiancheng Xie, Chunxue Sun, Kexin Li
2022	—	`conf`	An Impedance Flow Cytometer Chip with Tunable Impedance Responses for High Sensitive Cellular Biomarker Detection. NEMS Mu Chen, Yifan Zhou, Chizhou Zhang, Yanwen Zhang, Yu Han, Zhonghua Ni
2022	—	`conf`	θ is all you need: Revisiting SVD in caputuring changes in matrices. ACAI Yanwen Zhang, Jichang Zhao
2021	J	`jnl`	A novel federated learning approach based on the confidence of federated Kalman filters. Int. J. Mach. Learn. Cybern. Kai Hu, Jiasheng Wu, Liguo Weng, Yanwen Zhang, Fei Zheng, Zichao Pang, Min Xia
2021	J	`jnl`	Enhancing the SVD Compression. CoRR Huiwen Wang, Yanwen Zhang, Jichang Zhao
2020	J	`jnl`	Learning from neural control for non-affine systems with full state constraints using command filtering. Int. J. Control Min Wang, Yanwen Zhang, Cong Wang
2018	J	`jnl`	Lattice Distortion and Phase Stability of Pd-Doped NiCoFeCr Solid-Solution Alloys. Entropy Fuxiang Zhang, Yang Tong, Ke Jin, Hongbin Bei, William J. Weber, Yanwen Zhang
2018	J	`jnl`	pysrim: Automation, Analysis, and Plotting of SRIM Calculations. J. Open Source Softw. Christopher Ostrouchov, Yanwen Zhang, William J. Weber
2017	J	`jnl`	Dynamic Learning from Adaptive Neural Control of Uncertain Robots with Guaranteed Full-State Tracking Precision. Complex. Min Wang, Yanwen Zhang, Huiping Ye
2017	—	`conf`	Guaranteeing Predefined Full State Constraints for Non-Affine Nonlinear Systems Using Neural Networks. ICONIP (6) Min Wang, Yanwen Zhang

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.