Zeming Wang

15 papers C 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Strategic inventories under the reference price effect.
Eur. J. Oper. Res.
Zeming Wang, Jasper Veldman, Ruud H. Teunter
2025 J jnl
Adaptive neural event-triggered consensus for Markov jump multi-agent systems with uncertain transition rates and actuator fault.
J. Frankl. Inst.
Zeming Wang, Feng Zhao, Wenhai Qi, Xiangyong Chen, Jianlong Qiu
2025 C conf
High sensing margin and parallelism 6T-2MTJ SOT-MRAM based TCAM for energy-Efficient Similarity Priority calculation in MANNs.
ISCAS
Shengchao Zhou, Teng Zou, Zeming Wang, Xianwu Hu, Hongrui Meng, Yajun Wu, Chuxin Zhang, Caihua Wan, Yufeng Xie
2025 J jnl
Process improvement under the reference price effect.
Eur. J. Oper. Res.
Zeming Wang, Jasper Veldman, Ruud H. Teunter
2024 — conf
Analysis of Elderly Care Services Based on Machine Learning and Factor Rotation Method.
IDS
Shuyi Li, Fangming Jing, Chen Yang, Pengyu Zhang, Zeming Wang, Wenhui Hu
2024 — conf
Predefined-Time Synchronization of Neural Networks with Time-Varying Delays via Sliding Mode Control.
ASCC
Zeming Wang, Feng Zhao, Jianhua Liu, Kaicai Li, Xiangyong Chen, Junpu Wang
2024 — conf
Sampled data $H_{\infty}$ synchronization of time-varying delay complex networks with randomly occurring controller gain fluctuations.
ASCC
Yuying Yan, Zeming Wang, Feng Zhao, Jianlong Qiu, Wenyong Li, Xiangyong Chen
2023 — conf
Adaptive Graph Augmentation for Graph Contrastive Learning.
ICIC (4)
Zeming Wang, Xiaoyang Li, Rui Wang, Changwen Zheng
2023 J jnl
An 8.8 TFLOPS/W Floating-Point RRAM-Based Compute-in-Memory Macro Using Low Latency Triangle-Style Mantissa Multiplication.
IEEE Trans. Circuits Syst. II Express Briefs
Xianwu Hu, Yu Wang, Zizhao Ma, Gan Wen, Zeming Wang, Zhichao Lu, Yunlong Liu, Yanlei Li, Xingdong Liang, Xiaoyang Zeng, Yufeng Xie
2023 — conf
An approach to PV fault defect detection based on computer vision.
ICDLT
Zeming Wang, Yuqi Geng, Zeyu Wu
2023 J jnl
Dual observers based adaptive fuzzy output feedback control of a motor-driven launching platform with input saturation and disturbance rejection.
J. Intell. Fuzzy Syst.
Mengmeng Cao, Jian Hu, Zeming Wang, Jianyong Yao
2023 — conf
GCFP-ACIM: A 40nm 4.74TFLOPS/W General Complex Float-Point Analog Compute-in-Memory with Adaptive Power-Saving for HDR Signal Processing Applications.
A-SSCC
Zizhao Ma, Xianwu Hu, Gan Wen, Yihao Wang, Zeming Wang, Yukai Lin, Yu Wang, Yuhao Guo, Yanlei Li, Xingdong Liang, Xiaoyang Zeng, Yufeng Xie
2023 — conf
Robust Hypergraph-Augmented Graph Contrastive Learning for Graph Self-Supervised Learning.
CACML
Zeming Wang, Xiaoyang Li, Rui Wang, Changwen Zheng
2020 J jnl
Efficient and Secure Image Communication System Based on Compressed Sensing for IoT Monitoring Applications.
IEEE Trans. Multim.
Lixiang Li, Guoqian Wen, Zeming Wang, Yixian Yang
2017 — conf
Improved group management protocol of RFID password method.
ICC
Tao Chen, Linsen Li, Shiqi Wang, Gaosheng Chen, Zeming Wang

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.