Zeliang Ou

11 papers B 3Journal 3Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhance the Performance of Expectation Propagation Detection in Spatially Correlated Massive MIMO Channels via DFT Precoding. Entropy Huaicheng Luo, Jia Tang, Zeliang Ou, Yitong Liu, Hongwen Yang
2024	—	`conf`	Adaptive Expectation Propagation for MIMO Signal Detection. ICCT Zeliang Ou, Hongwen Yang
2023	—	`conf`	Expectation Propagation Based Signal Detection for MIMO-OFDM with Inter-Carrier Interference. BMSB Zeliang Ou, Hongwen Yang
2022	J	`jnl`	A Low Sampling Rate Receiver Design for Multi-Antenna Multi-User OFDM Systems. Entropy Zeliang Ou, Xiaofeng Liu, Hongwen Yang
2022	—	`conf`	An Improved OFDMA Design for Low-Cost Receivers. ISWCS Zeliang Ou, Hongwen Yang
2019	J	`jnl`	A Secure Receive Spatial Modulation Scheme Based on Random Precoding. IEEE Access Lu Zhang, Mingyang Sun, Zeliang Ou, Chongjun Ouyang, Hongwen Yang
2019	—	`conf`	Asymptotic Upper Capacity Bound for Receive Antenna Selection in Massive MIMO Systems. ICC Chongjun Ouyang, Zeliang Ou, Lu Zhang, Pei Yang, Hongwen Yang
2019	—	`conf`	Ergodic H-S/MRC Mutual Information. ISWCS Zeliang Ou, Chongjun Ouyang, Pei Yang, Lu Zhang, Sheng Wu, Hongwen Yang
2019	B	`conf`	Optimal Transmit Antenna Selection Algorithm in Massive MIMOME Channels. WCNC Chongjun Ouyang, Zeliang Ou, Lu Zhang, Hongwen Yang
2019	B	`conf`	Secrecy Performance of Antenna-Selection-Aided MIMOME Channels with BPSK/QPSK Modulations. PIMRC Chongjun Ouyang, Zeliang Ou, Pei Yang, Lu Zhang, Xin Zhang, Hongwen Yang
2018	B	`conf`	Capacity of AWGN and Rayleigh Fading Channels with M-ary Inputs. PIMRC Pei Yang, Zeliang Ou, Hongwen Yang

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.