Baicang Guo - RankMe

15 papers Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CENH: Co-Enhancement of Edges and Nodes in Heterogeneous Graph Attention for Pedestrian Crossing Intention Recognition. IEEE Trans. Intell. Transp. Syst. Xingchen Liu, Baicang Guo, Lisheng Jin, Chuanqiang An, Hongyu Zhang, Guofeng Luo, Zhuotong Han
2026	J	`jnl`	CoFeatNet: An Efficient Multimodal Feature Extraction Network for Cooperative Vehicle-to-Infrastructure 3-D Object Detection. IEEE Internet Things J. Baicang Guo, Yewei Shi, Lisheng Jin, Xiao Yang, Menglin Li, Qingsong Wei, Guofeng Luo, Jiaguo Liu
2026	J	`jnl`	MotionLMC : A lightweight end-to-end collaborative framework for joint LiDAR object recognition and motion prediction. Expert Syst. Appl. Hongyu Zhang, Baicang Guo, Lisheng Jin, Jianao Xu, Yang He, Tenghui Tian, Xiao Yang
2026	J	`jnl`	Towards cognition-driven 3D object detection: A LiDAR-based framework. Knowl. Based Syst. Yewei Shi, Baicang Guo, Lisheng Jin, Xiao Yang, Hongyu Zhang, Xingchen Liu, Menglin Li
2025	J	`jnl`	MTSF: Multi-Scale Temporal-Spatial Fusion Network for Driver Attention Prediction. IEEE Trans. Intell. Transp. Syst. Lisheng Jin, Bingdong Ji, Baicang Guo, Huanhuan Wang, Zhuotong Han, Xingchen Liu
2025	J	`jnl`	Multi-modal information fusion for multi-task end-to-end behavior prediction in autonomous driving. Neurocomputing Baicang Guo, Liu Hao, Yang Xiao, Cao Yuan, Lisheng Jin, Yin-lin Wang
2024	J	`jnl`	An Enhanced Detector for Vulnerable Road Users Using Infrastructure-Sensors-Enabled Device. Sensors Jian Shi, Dongxian Sun, Minh Kieu, Baicang Guo, Ming Gao
2023	—	`conf`	High-speed EMU seat design based on psychological correction∗. ICHMI Hai Deng, Yang Lu, Xinwei Li, Guangqi Wang, Yufei Bai, Baicang Guo
2023	J	`jnl`	VV-YOLO: A Vehicle View Object Detection Model Based on Improved YOLOv4. Sensors Yinan Wang, Yingzhou Guan, Hanxu Liu, Lisheng Jin, Xinwei Li, Baicang Guo, Zhe Zhang
2022	—	`conf`	End to End Autonomous Driving Behavior Prediction Based on Deep Convolution Neural Network. DTPI Baicang Guo, Yin-lin Wang, Ming Gao, Jia Lu, Guang-sheng Han, Li-bin Zhang
2021	J	`jnl`	Vehicle direct yaw moment control system based on the improved linear quadratic regulator. Ind. Robot Xianyi Xie, Lisheng Jin, Baicang Guo, Jian Shi
2020	J	`jnl`	Manifold Siamese Network: A Novel Visual Tracking ConvNet for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. Ming Gao, Lisheng Jin, Yuying Jiang, Baicang Guo
2019	J	`jnl`	Drowsy Driving Detection Based on Fused Data and Information Granulation. IEEE Access Yan Wang, Lisheng Jin, Keyong Li, Baicang Guo, Yi Zheng, Jian Shi
2018	J	`jnl`	Integrated Dynamics Control System With ESC and RAS for a Distributed Electric Vehicle. IEEE Access Xianyi Xie, Lisheng Jin, Yuying Jiang, Baicang Guo
2018	J	`jnl`	Study on the Impact Degrees of Several Driving Behaviors When Driving While Performing Secondary Tasks. IEEE Access Lisheng Jin, Baicang Guo, Yuying Jiang, Fangrong Wang, Xianyi Xie, Ming Gao

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.