Yang You

17 papers Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Heterogeneous Wireless Federated Learning Framework via Over-the-Air Computation. IEEE Trans. Veh. Technol. Yue Xiao, Yu Ye, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Yang You, George K. Karagiannidis
2025	—	`conf`	Homomorphic-encryption-based Decentralized Federated Learning. ICC Yue Xiao, Yu Ye, Xiyu Sheng, Yang You, Sotiris A. Tegos, Guoqiang Xiao, George K. Karagiannidis, Carlo Fischione
2024	—	`conf`	Fast Incremental ADMM for Decentralized Consensus Multi-Agent Optimization. ICCA Yang You, Yu Ye, Guoqiang Xiao, Qianwen Xu
2024	J	`jnl`	Hierarchical Online Game-Theoretic Framework for Real-Time Energy Trading in Smart Grid. IEEE Trans. Smart Grid Yang You, Qianwen Xu, Carlo Fischione
2024	J	`jnl`	Optimized Energy Dispatch for Microgrids With Distributed Reinforcement Learning. IEEE Trans. Smart Grid Yusen Wang, Ming Xiao, Yang You, H. Vincent Poor
2023	J	`jnl`	Non-Cooperative Games for Privacy-Preserving and Cost-Efficient Smart Grid Energy Management. IEEE Trans. Inf. Forensics Secur. Yang You, Zuxing Li, Tobias J. Oechtering
2023	J	`jnl`	Time-Adaptive Expectation Maximization Learning Framework for HMM Based Data-Driven Gas Sensor Calibration. IEEE Trans. Ind. Informatics Yang You, Tobias J. Oechtering
2022	—	`—`	Intelligent System Designs: Data-driven Sensor Calibration & Smart Meter Privacy. Yang You
2022	J	`jnl`	On Data-Driven Self-Calibration for IoT-Based Gas Concentration Monitoring Systems. IEEE Internet Things J. Yang You, Kai You, Hao Chen, Tobias J. Oechtering
2021	J	`jnl`	Energy Management Strategy for Smart Meter Privacy and Cost Saving. IEEE Trans. Inf. Forensics Secur. Yang You, Zuxing Li, Tobias J. Oechtering
2020	—	`conf`	Belief Function Fusion based Self-calibration for Non-dispersive Infrared Gas Sensor. IEEE SENSORS Yang You, Anran Xu, Tobias J. Oechtering
2020	—	`conf`	Hidden Markov Model Based Data-driven Calibration of Non-dispersive Infrared Gas Sensor. EUSIPCO Yang You, Tobias J. Oechtering
2020	—	`conf`	Online Energy Management Strategy Design for Smart Meter Privacy Against FHMM-based NILM. SmartGridComm Yang You, Tobias J. Oechtering
2018	—	`conf`	Optimal Privacy-Enhancing And Cost-Efficient Energy Management Strategies For Smart Grid Consumers. SSP Yang You, Zuxing Li, Tobias J. Oechtering
2017	J	`jnl`	A Joint Resource Allocation Scheme for Multi-User Full-Duplex OFDMA Systems. CoRR Yang You, Chong Qin, Yi Gong
2017	J	`jnl`	Resource Allocation for a Full-Duplex Base Station Aided OFDMA System. CoRR Yang You, Chong Qin, Yi Gong
2017	—	`conf`	Resource allocation for a full-duplex base station aided OFDMA system. SPAWC Yang You, Chong Qin, Yi Gong

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.