Zhe Li - RankMe

27 papers A* 1Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Reinforcement Learning-Based Decentralized Control Strategy for Eco-Safe Mixed Platooning With CAVs and HDVs. IEEE Trans. Intell. Transp. Syst. Xiangcheng Pan, Xiaofang Yuan, Zhigang Ling, Zhe Li, Kexin Liu, Yaonan Wang
2026	J	`jnl`	Collaborative filtering enhanced subgraph embedding for link direction and sign prediction. Neurocomputing Zhihong Fang, Shaolin Tan, Zhe Li, Qiu Fang, Yao Chen
2026	J	`jnl`	Efficient data-driven event-triggered predictive control for cyber-physical systems. J. Control. Decis. Zhe Li, Kexin Liu, Xudong Wang, Xiaofang Yuan, Yaonan Wang
2026	J	`jnl`	Lightweight Log-Linear Learning With Neighborhood Search for Equilibrium Selection in Finite Potential Games. IEEE Trans. Syst. Man Cybern. Syst. Zhe Li, Changdi Liu, Shaolin Tan, Wei Wang
2026	J	`jnl`	Right-of-way based multi-agent deep reinforcement learning for collaborative decision-making at unsignalized intersection. Expert Syst. Appl. Ji Feng, Xiaofang Yuan, Zhe Li, Xiangcheng Pan, Kexin Liu
2026	J	`jnl`	Role-Based One-Hop Neighborhood Representation for Link Sign Prediction in Signed Directed Networks. IEEE Trans. Artif. Intell. Zhihong Fang, Shaolin Tan, Qiu Fang, Zhe Li, Qing Gao
2026	A*	`conf`	Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction. AAAI Zhihong Fang, Shaolin Tan, Qiu Fang, Zhe Li, Qing Gao
2025	J	`jnl`	A signal-to-image fault classification method based on multi-sensor data for robotic grinding monitoring. J. Intell. Manuf. Zhe Li, Kexin Liu, Xudong Wang, Xiaofang Yuan, He Xie, Yaonan Wang
2025	J	`jnl`	Adaptive Robust Formation Control Strategy for CAVs Merging at Highway On-Ramps. IEEE Trans. Intell. Transp. Syst. Xiangcheng Pan, Xiaofang Yuan, Zhigang Ling, Zhe Li, Kexin Liu, Yaonan Wang
2025	J	`jnl`	Contrastive Learning Framework With Cross-Sensor Adaptive Signal Representation for Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Wenbin He, Jianxu Mao, Yaonan Wang, Zhe Li, Hui Zhang
2025	J	`jnl`	Dynamic task scheduling optimization by rolling horizon deep reinforcement learning for distributed satellite system. Expert Syst. Appl. Zhe Li, Xin Zhu, Changdi Liu, Junyao Song, Yubai Liu, Chengjun Yin, Wei Sun
2025	J	`jnl`	MQKIN: Manufacturing Quality Knowledge-Driven Interpretable Fault Diagnosis Network for Robotic Grinding Equipment. IEEE Trans Autom. Sci. Eng. Wenbin He, Jianxu Mao, Yaonan Wang, Zhe Li, Xudong Wang, Shaoyuan Wang
2025	J	`jnl`	Robust Driving Intention Prediction Based on Multi-Stage Learning Under Vehicle-Infrastructure Cooperative Perception. IEEE Trans. Intell. Transp. Syst. Kexin Liu, Xiaofang Yuan, Zhe Li, Xiangcheng Pan, Yaonan Wang
2025	J	`jnl`	Spatial-Enhanced Adaptive Robust Control for Longitudinal and Lateral Cooperative On-Ramp Merging of CAVs. IEEE Trans. Veh. Technol. Xiangcheng Pan, Xiaofang Yuan, Zhigang Ling, Zhe Li, Kexin Liu, Yaonan Wang
2025	J	`jnl`	Static Output Feedback Control for Linear Systems via Multiple Lyapunov Functions. IEEE Access Guokai Liang, Xin Xie, Wei Pan, Yanzhang Gu, Zeming Chen, Zhe Li, Weijie Zeng
2024	J	`jnl`	A timestamp-based log-linear algorithm for solving locally-informed multi-agent finite games. Expert Syst. Appl. Zhe Li, Changdi Liu, Shaolin Tan, Yubai Liu
2024	J	`jnl`	Secure Interval Estimation for Event-Triggered Cyber-Physical Systems Under Stealthy Attacks. IEEE Trans. Control. Netw. Syst. Xudong Wang, Guoqi Wang, Zhongyang Fei, Zhe Li
2024	J	`jnl`	Unified Diagnostic and Matching Framework of Fault and Quality for Robotic Grinding System. IEEE Trans. Instrum. Meas. Wenbin He, Jianxu Mao, Yaonan Wang, Zhe Li, He Xie, Haidong Shao, Xingwei Zhao
2024	J	`jnl`	Zonotopic interval estimation for nonlinear systems with event-triggered protocols. J. Frankl. Inst. Xudong Wang, Guoqi Wang, Zhaoke Ning, Zhe Li, Yaonan Wang
2023	J	`jnl`	A data-driven subspace predictive control method for air-cooled data center thermal modelling and optimization. J. Frankl. Inst. Zhe Li, Haoda Wang, Qiu Fang, Yaonan Wang
2023	J	`jnl`	Event-based fault estimation and compensation for discrete-time systems via zonotopes. Inf. Sci. Xudong Wang, Guoqi Wang, Zhe Li, Zhongyang Fei
2023	J	`jnl`	Robust Guaranteed Synchronization for Chaotic Systems With Incremental Quadratic Constraints. IEEE Trans. Circuits Syst. I Regul. Pap. Xudong Wang, Guoqi Wang, Zhe Li, Yaonan Wang
2023	J	`jnl`	Structural performance prediction based on the digital twin model: A battery bracket example. Reliab. Eng. Syst. Saf. Wenbin He, Jianxu Mao, Kai Song, Zhe Li, Yulong Su, Yaonan Wang, Xiangcheng Pan
2022	J	`jnl`	3-D path planning system for autonomous vehicle considering the rollover and path length. J. Frankl. Inst. Zhixian Liu, Xiaofang Yuan, Zhe Li
2022	J	`jnl`	A Data-Driven Robust Fault Detection Method for Linear Systems with Full-Order Sensors. Circuits Syst. Signal Process. Zhe Li, Kexin Liu, Yuan-Xin Li, Yaonan Wang, Li Liu
2019	J	`jnl`	A neural-network enhanced modeling method for real-time evaluation of the temperature distribution in a data center. Neural Comput. Appl. Qiu Fang, Zhe Li, Yaonan Wang, Mengxuan Song, Jun Wang
2019	J	`jnl`	Subspace predictive control with the data-driven event-triggered law for linear time-invariant systems. J. Frankl. Inst. Zhe Li, Xiaofang Yuan, Yaonan Wang, Chun-Hua Xie

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.