Fangfang Zhang

28 papers Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Improved Dual Neural Network Method Based on Levy Flight for Multirobot Cooperative Area Coverage Search in 3-D Unknown Environments. IEEE Trans. Cogn. Dev. Syst. Fangfang Zhang, Yongqi Wang, Wenhao Wang, Jianbin Xin, Jinzhu Peng, Yaonan Wang
2025	J	`jnl`	CIMAP: A High-Performance Motion Planning Algorithm for Robotic Manipulators in Complex Environments Using Clearance Inference Network. IEEE Trans. Syst. Man Cybern. Syst. Bo Chen, Hui Zhang, Fangfang Zhang, Yiming Jiang, Wei He, Chenguang Yang, Yaonan Wang
2025	J	`jnl`	DIBNN: A Dual-Improved-BNN Based Algorithm for Multi-Robot Cooperative Area Search in Complex Obstacle Environments. IEEE Trans Autom. Sci. Eng. Bo Chen, Hui Zhang, Fangfang Zhang, Yiming Jiang, Zhiqiang Miao, Hongnian Yu, Yaonan Wang
2025	J	`jnl`	EA-OSPGB: Multiple robots dynamic online algorithm for solving full coverage path planning of multiple robots in unknown terrain environments. Expert Syst. Appl. Yifei Cai, Fangfang Zhang, Jianbin Xin, Jinzhu Peng, Yaonan Wang
2025	J	`jnl`	Improved GBNN Guided Multirobot Coverage Search Based on Neuronal Connectivity. IEEE Syst. J. Fangfang Zhang, Yongqi Wang, Jianbin Xin, Haijing Wang, Jinzhu Peng, Yaonan Wang
2024	J	`jnl`	High-Order Control Barrier Function-Based Safety Control of Constrained Robotic Systems: An Augmented Dynamics Approach. IEEE CAA J. Autom. Sinica Haijing Wang, Jinzhu Peng, Fangfang Zhang, Yaonan Wang
2024	J	`jnl`	Safety-Based Dynamic Output Feedback Tracking Control of Time-Varying Input-Output Linearizable Systems With Output Constraints. IEEE Trans. Circuits Syst. II Express Briefs Haijing Wang, Jinzhu Peng, Fangfang Zhang, Yaonan Wang
2023	J	`jnl`	A Composite Control Framework of Safety Satisfaction and Uncertainties Compensation for Constrained Time-Varying Nonlinear MIMO Systems. IEEE Trans. Syst. Man Cybern. Syst. Haijing Wang, Jinzhu Peng, Fangfang Zhang, Yaonan Wang
2023	J	`jnl`	A Multirobot Cooperative Area Coverage Search Algorithm Based on Bioinspired Neural Network in Unknown Environments. IEEE Syst. J. Bo Chen, Wenli Zhang, Fangfang Zhang, Yanhong Liu, Hongnian Yu
2023	J	`jnl`	A Multirobot Distributed Collaborative Region Coverage Search Algorithm Based on Glasius Bio-Inspired Neural Network. IEEE Trans. Cogn. Dev. Syst. Bo Chen, Hui Zhang, Fangfang Zhang, Yanhong Liu, Cheng Tan, Hongnian Yu, Yaonan Wang
2023	—	`conf`	Adaptive Safety Control of a Constrained Uncertain Robotic System. CACRE Haijing Wang, Jinzhu Peng, Fangfang Zhang, Yaonan Wang
2023	J	`jnl`	Model Predictive Path Planning of AGVs: Mixed Logical Dynamical Formulation and Distributed Coordination. IEEE Trans. Intell. Transp. Syst. Jianbin Xin, Xuwen Wu, Andrea D'Ariano, Rudy R. Negenborn, Fangfang Zhang
2022	J	`jnl`	Distributed Model Predictive Contouring Control for Real-Time Multi-Robot Motion Planning. Complex Syst. Model. Simul. Jianbin Xin, Yaoguang Qu, Fangfang Zhang, Rudy R. Negenborn
2022	J	`jnl`	Grouping-Based Optimization Method for Multirobot System Pattern Formation. IEEE Syst. J. Tingting Wang, Fangfang Zhang, Jianbin Xin, Yanhong Liu
2021	J	`jnl`	Joint design of control policy and network scheduling policy for wireless networked control systems: Theory and application. Inf. Sci. Lei Deng, Cheng Tan, Fangfang Zhang, Wing Shing Wong
2021	J	`jnl`	Model-Based Robust Tracking Control Without Observers for Soft Bending Actuators. IEEE Robotics Autom. Lett. Guizhou Cao, Benyan Huo, Lei Yang, Fangfang Zhang, Yanhong Liu, Gui-Bin Bian
2021	—	`conf`	Parameter Adaptive Multi-robot Formation Based on Fuzzy Theory. ICIRA (1) Fangfang Zhang, Wenli Zhang, Bo Chen, Haijing Wang, Yanhong Liu
2020	—	`conf`	An Optimization Method for Pattern Formation in Dynamic Environment. ICCA Fangfang Zhang, Tingting Wang, Qiyan Li, Peng Cui, Yanhong Liu
2020	J	`jnl`	An iterative optimization approach for multi-robot pattern formation in obstacle environment. Robotics Auton. Syst. Fangfang Zhang, Tingting Wang, Qiyan Li, Jianbin Xin
2020	J	`jnl`	Human Detection through RSSI Processing with Packet Dropout in Wireless Sensor Network. J. Sensors Haijing Wang, Fangfang Zhang, Wenli Zhang
2020	J	`jnl`	Neural Network-Based Hybrid Position/Force Tracking Control for Robotic Systems Without Velocity Measurement. Neural Process. Lett. Jinzhu Peng, Shuai Ding, Zeqi Yang, Fangfang Zhang
2019	J	`jnl`	Stabilization of discrete time stochastic system with input delay and control dependent noise. Syst. Control. Lett. Cheng Tan, Lin Yang, Fangfang Zhang, Zhengqiang Zhang, Wing Shing Wong
2018	J	`jnl`	A Novel Fault Diagnosis Method of Rolling Bearings Based on AFEWT-KDEMI. Entropy Mingtao Ge, Jie Wang, Fangfang Zhang, Ke Bai, Xiangyang Ren
2018	J	`jnl`	Rolling Bearing Fault Diagnosis Based on EWT Sub-Modal Hypothesis Test and Ambiguity Correlation Classification. Symmetry Mingtao Ge, Jie Wang, Yicun Xu, Fangfang Zhang, Ke Bai, Xiangyang Ren
2016	J	`jnl`	Distributed LQR control for discrete-time homogeneous systems. Int. J. Syst. Sci. Wei Wang, Fangfang Zhang, Chunyan Han
2016	J	`jnl`	Distributed design of approximately optimal controller for identical discrete-time multi-agent systems. J. Syst. Sci. Complex. Fangfang Zhang, Wei Wang, Huanshui Zhang
2015	J	`jnl`	Decentralized control of discrete-Time system with delay in mean field LQR problem. J. Syst. Sci. Complex. Fangfang Zhang, Wei Wang
2013	—	`conf`	Distributed optimal control design for the identical continuous-time systems. ICIA Fangfang Zhang, Wei 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.

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.