Zenghui Li - RankMe

20 papers Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI-enhanced groundwater management platform: A network-driven approach for simulation. Environ. Model. Softw. Fan Liu, Zhao Guo, Chen Ma, Futian Ren, Zenghui Li, Xiaowei Lu, Lei Huang
2026	J	`jnl`	Ill-posed regions-aware self-supervised stereo matching with left-right consistency. Expert Syst. Appl. Shengwei Yang, Yuehang Wang, Zenghui Li, Shan Zhou, Zheng Wang, Yining Hu, Lizhe Xie
2025	J	`jnl`	Information gap based knowledge distillation for occluded facial expression recognition. Image Vis. Comput. Yan Zhang, Zenghui Li, Duo Shen, Ke Wang, Jia Li, Chenxing Xia
2025	J	`jnl`	LFGNet: Low-level feature-guided network for drivers' calling behavior detection. Comput. Electr. Eng. Hao Li, Changming Song, Dongxu Cheng, Zenghui Li, Caihong Wu, Kang Chen
2025	J	`jnl`	Mixed contrastive transfer learning for few-shot workload prediction in the cloud. Computing Ziran Zuo, Yifa Huang, Zenghui Li, Ying Jiang, Chunhong Liu
2025	J	`jnl`	Power Delivery for Cryogenic Scalable Quantum Applications: Challenges and Opportunities. CoRR Yating Zou, Batuhan Keskin, Gregor G. Taylor, Zenghui Li, Jie Wang, Eduard Alarcón, Fabio Sebastiano, Masoud Babaie, Edoardo Charbon
2025	J	`jnl`	TimesLap: Mutability workload sequence prediction based on Laplacian Kernel in the cloud. Computing Ying Jiang, Yifa Huang, Zenghui Li, Ziran Zuo, Chunhong Liu
2024	J	`jnl`	A multi-scale hierarchical node graph neural network for few-shot learning. Multim. Tools Appl. Yan Zhang, Xudong Zhou, Ke Wang, Nian Wang, Zenghui Li
2024	J	`jnl`	AlignYOLO: A feature-aligned network for object detection. Expert Syst. Appl. Hao Li, Changming Song, Dongxu Cheng, Zenghui Li, Caihong Wu, Kang Chen
2024	—	`conf`	WCA-net: A Medical Image Segmentation Network via Wavelet Learning with Coordinated Calibration Attention. BIC Zenghui Li, Changming Song, Dongxu Cheng
2023	J	`jnl`	Design and Control of a Hand-Launched Fixed-Wing Unmanned Aerial Vehicle. IEEE Trans. Ind. Informatics Xinjiang Lu, Zenghui Li, Jie Xu
2023	—	`conf`	IDMUNet : An effective network for liver tumor segmentation. ICAIP Caihong Wu, Changming Song, Dongxu Cheng, Siyv Ren, Zenghui Li, Kang Chen, Hao Li
2023	J	`jnl`	Robust Gait Recognition Based on Deep CNNs With Camera and Radar Sensor Fusion. IEEE Internet Things J. Yu Shi, Lan Du, Xiaoyang Chen, Xun Liao, Zengyu Yu, Zenghui Li, Chunxin Wang, Shikun Xue
2016	J	`jnl`	An Improved Attributed Scattering Model Optimized by Incremental Sparse Bayesian Learning. IEEE Trans. Geosci. Remote. Sens. Zenghui Li, Kan Jin, Bin Xu, Wei Zhou, Jian Yang
2016	J	`jnl`	Polarimetric Inverse Scattering via Incremental Sparse Bayesian Multitask Learning. IEEE Geosci. Remote. Sens. Lett. Zenghui Li, Bin Xu, Jian Yang
2016	J	`jnl`	Ship Detection in SAR Imagery via Variational Bayesian Inference. IEEE Geosci. Remote. Sens. Lett. Shengli Song, Bin Xu, Zenghui Li, Jian Yang
2015	J	`jnl`	A Steady-State Kalman Predictor-Based Filtering Strategy for Non-Overlapping Sub-Band Spectral Estimation. Sensors Zenghui Li, Bin Xu, Jian Yang, Jianshe Song
2015	J	`jnl`	An Iterative SAR Image Filtering Method Using Nonlocal Sparse Model. IEEE Geosci. Remote. Sens. Lett. Bin Xu, Yi Cui, Zenghui Li, Jian Yang
2015	J	`jnl`	Patch Ordering-Based SAR Image Despeckling Via Transform-Domain Filtering. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Bin Xu, Yi Cui, Zenghui Li, Bin Zuo, Jian Yang, Jianshe Song
2014	J	`jnl`	Correction of Dechirp Distortion in Long-Distance Target Imaging with LFMCW-ISAR. IEICE Trans. Commun. Wen Chang, Zenghui Li, Jian Yang, Chun-mao Yeh

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.