Feixiang Zhang

20 papers B 2C 1Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Minimization of pseudo fountain penalty for sparse signal recovery. Digit. Signal Process. Zhihua Li, Feixiang Zhang, Ning Yu
2025	J	`jnl`	Optimizing DER Aggregate Flexibility via Network Reconfiguration. CoRR Feixiang Zhang, Hongyi Li, Bai Cui, Zhaoyu Wang
2024	J	`jnl`	CSS-Net: a collaborative framework for synthesis and segmentation of missing contrast-enhanced image with error-prediction consistency. Mach. Learn. Sci. Technol. Xiaoyu Huang, Feixiang Zhang, Yong Huang, Kai Xu
2024	—	`conf`	Joint Multi-cue Learning for Emotion Recognition in Human-Computer Interaction. PRCV (11) Feixiang Zhang, Xiao Sun
2023	—	`conf`	GLM: A Model Based on Global-Local Joint Learning for Emotion Recognition from Gaits Using Dual-Stream Network. ICIG (1) Feixiang Zhang, Xiao Sun
2023	J	`jnl`	Inshore Dense Ship Detection in SAR Images Based on Edge Semantic Decoupling and Transformer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yongsheng Zhou, Feixiang Zhang, Qiang Yin, Fei Ma, Fan Zhang
2023	—	`conf`	JTMA: Joint Multimodal Feature Fusion and Temporal Multi-head Attention for Humor Detection. MuSe@ACM Multimedia Qi Li, Yangyang Xu, Zhuoer Zhao, Shulei Tang, Feixiang Zhang, Ruotong Wang, Xiao Sun, Meng Wang
2023	—	`conf`	Temporal-aware Multimodal Feature Fusion for Sentiment Analysis. MuSe@ACM Multimedia Qi Li, Shulei Tang, Feixiang Zhang, Ruotong Wang, Yangyang Xu, Zhuoer Zhao, Xiao Sun, Meng Wang
2022	J	`jnl`	Small Vessel Detection Based on Adaptive Dual-Polarimetric Feature Fusion and Sea-Land Segmentation in SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yongsheng Zhou, Feixiang Zhang, Fei Ma, Deliang Xiang, Fan Zhang
2021	C	`conf`	Small Vessel Detection Based on Adaptive Dual-Polarimetric Sar Feature Fusion and Attention-Enhanced Feature Pyramid Network. IGARSS Feixiang Zhang, Yongsheng Zhou, Fan Zhang, Qiang Yin, Fei Ma
2021	J	`jnl`	Vessel Detection From Nighttime Remote Sensing Imagery Based on Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jiangnan Shao, Qingyao Yang, Changyu Luo, Ronghao Li, Yongsheng Zhou, Feixiang Zhang
2019	J	`jnl`	Constrained VCG Auction With Multi-Level Channel Valuations for Spatial Spectrum Reuse in Non-Symmetric Networks. IEEE Trans. Commun. Feixiang Zhang, Xiangwei Zhou, Mingxuan Sun
2019	—	`conf`	Multi-Level Channel Valuations and Coalitional Subgames in Spatial Spectrum Reuse. CCNC Feixiang Zhang, Xiangwei Zhou, Mingxuan Sun
2019	J	`jnl`	On-Demand Receiver-Centric Channel Allocation via Constrained VCG Auction for Spatial Spectrum Reuse. IEEE Syst. J. Feixiang Zhang, Xiangwei Zhou, Mingxuan Sun
2018	—	`conf`	Achievable Rate and Ergodic Capacity for Power Line Communication Systems under Impulsive Noise. ICC Workshops Yuwen Qian, Hu Xie, Xiangwei Zhou, Feixiang Zhang
2018	J	`jnl`	Design and Performance Analysis of Power Line Communication Networks Under Impulsive Noise in Smart Home. IEEE Access Yuwen Qian, Xiangwei Zhou, Jun Li, Feixiang Zhang, Long Shi, Feng Shu
2017	B	`conf`	Constrained VCG Auction for Spatial Spectrum Reuse with Flexible Channel Evaluations. GLOBECOM Feixiang Zhang, Xiangwei Zhou, Mingxuan Sun
2016	J	`jnl`	Location-Oriented Evolutionary Games for Price-Elastic Spectrum Sharing. IEEE Trans. Commun. Feixiang Zhang, Xiangwei Zhou, Xianghui Cao
2014	B	`conf`	Location-oriented evolutionary games for spectrum sharing. GLOBECOM Feixiang Zhang, Xiangwei Zhou
2014	—	`conf`	Radio propagation prediction in restricted spaces. WCSP Feixiang Zhang, Xiangwei Zhou

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.