Taijun Liu - RankMe

20 papers B 1C 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Confidence-Guided Prototypical Contrastive Domain Adaptation for Cross-Domain Automatic Modulation Classification. IEEE Trans. Cogn. Commun. Netw. Wenhan Li, Zhenzhong Chen, Taijun Liu, Hua Chen, Gaoming Xu
2025	J	`jnl`	A cross-architecture masked contrastive learning framework for few-shot underwater acoustic target classification. Knowl. Based Syst. Wenhan Li, Zhenzhong Chen, Jiangong Wang, Taijun Liu, Hua Chen, Gaoming Xu
2025	J	`jnl`	Few-Shot Specific Emitter Identification Based on a Contrastive Masked Learning Framework. IEEE Commun. Lett. Wenhan Li, Jiangong Wang, Taijun Liu, Gaoming Xu
2025	J	`jnl`	Receiver-Agnostic Radio Frequency Fingerprinting Using a Prototypical Contrastive Domain Adaptation Method. IEEE Signal Process. Lett. Wenhan Li, Jiangong Wang, Taijun Liu, Gaoming Xu
2024	J	`jnl`	A Signal-Understanding Semi-Supervised Learning Framework for Signal Recognition. IEEE Commun. Lett. Wenhan Li, Taijun Liu, Hua Chen, Gaoming Xu
2024	J	`jnl`	Analog Predistorter for RoF Fronthaul Link Excited by a 400MHz Bandwidth 5G NR Signal. IEEE Trans. Circuits Syst. II Express Briefs Gaoming Xu, Jian Liu, Wushuai Liu, Yi Chen, Taijun Liu, Shuomin Zhong
2024	J	`jnl`	Full-Wave Digital Predistortion Linearization Based on Memory Polynomials for HF Power Amplifiers. IEEE Access Junshi Lv, Gaoming Xu, Chengting Zhang, Haili Zhang, Taijun Liu
2024	J	`jnl`	GRU-Attention Model for Linearizing Millimeter-Wave Transmitters in Vehicle to Satellite Communication Systems. IEEE Trans. Veh. Technol. Gaoming Xu, Junshi Lv, Linzhe Miao, Yi Chen, Xiupu Zhang, Taijun Liu
2024	J	`jnl`	Leaky Cable Perimeter Intrusion Detection Based on Deep Reinforcement Learning. IEEE Internet Things J. Jiacheng Ye, Junshi Lv, Gaoming Xu, Taijun Liu
2020	J	`jnl`	Bandgap Control of Two-Dimensional Coaxial Bragg Structures With Helically Corrugated Conductors. IEEE Access Yingxin Lai, XiaoMin Jiang, Fang-Yuan Chen, Jian Li, Taijun Liu
2020	J	`jnl`	Seamless Integration of Active Antenna With Improved Power Efficiency. IEEE Access Yunlong Lu, Qing Liu, Yi Wang, Peter Gardner, Wang He, Yi Chen, Jifu Huang, Taijun Liu
2019	J	`jnl`	A Memory Term Reduction Approach for Digital Pre-Distortion Using the Attention Mechanism. IEEE Access HuiHui Yu, Gaoming Xu, Taijun Liu, Jifu Huang, Xiupu Zhang
2018	C	`conf`	A broadband power amplifier with an extended efficiency at 3.3-3.6 GHz. APCC Xilei Yin, Jun Li, Haoquan Jin, Huafeng Wen, Taijun Liu
2018	J	`jnl`	FoldedGI: A highly parallel algorithm for interference detection by folding a geometry image into a 1D buffer. Graph. Model. Shuang-Min Chen, Bangquan Liu, Taijun Liu, Xiaokang Yu, Shiqing Xin, Ying He, Changhe Tu
2018	J	`jnl`	Power-Handling Capacity and Nonlinearity Analysis for Distributed Electronic Impedance Synthesizer. IEEE Trans. Circuits Syst. I Regul. Pap. Yangping Zhao, Simon Hemour, Hao Chen, Taijun Liu, Ke Wu
2010	J	`jnl`	Impact of Laser Relative Intensity Noise on a Multiband OFDM Ultrawideband Wireless Signal Over Fiber System. JOCN Meer N. Sakib, Bouchaib Hraimel, Xiupu Zhang, Ke Wu, Taijun Liu, Tiefeng Xu, Qiuhua Nie
2007	—	`conf`	Dynamic Behavioral Models for Wideband Wireless Transmitters Stimulated by Complex Signals Using Neural Networks. ISNN (1) Taijun Liu, Yan Ye, Slim Boumaiza, Fadhel M. Ghannouchi
2007	J	`jnl`	Systematic and Adaptive Characterization Approach for Behavior Modeling and Correction of Dynamic Nonlinear Transmitters. IEEE Trans. Instrum. Meas. Slim Boumaiza, Mohamed Helaoui, Oualid Hammi, Taijun Liu, Fadhel M. Ghannouchi
2006	—	`conf`	On the Wireless Transmitters Linear and Nonlionear Distortions Detection and Pre-Correction. CCECE Slim Boumaiza, Taijun Liu, Fadhel M. Ghannouchi
2005	B	`conf`	Application of neural networks to 3G power amplifier modeling. IJCNN Taijun Liu, Slim Boumaiza, Fadhel M. Ghannouchi

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.