Baojiang Li

26 papers Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Classification and Feature Extraction Algorithm for On-Orbit Spacecraft Based on Optical-SAR Multimodal Information.
IEEE Trans. Aerosp. Electron. Syst.
Bijiang Jie, Baojiang Li, Manliang Cao, Jiahao Chen, Xing Gui, Chenhan Zhang, Yucan Zhang
2025 J jnl
ALGGNet: An adaptive local-global-graph representation network for brain-computer interfaces.
Knowl. Based Syst.
Wenlong Wang, Baojiang Li, Xiuyun Liu, Xingbin Shi, Yuxin Qin, Haiyan Wang, Xichao Wang
2025 J jnl
Behaviour recognition system of underground drilling operators based on MA-STGCN.
Int. J. Comput. Sci. Eng.
Meng Cai, Xichao Wang, Baojiang Li, Haiyan Wang, XiangQing Dong, Guochu Chen
2025 J jnl
DAMF: A semantic-guided dynamic attention framework for visual-haptic-textual multimodal fusion.
Knowl. Based Syst.
Bin Wang, Baojiang Li, Tianwei Gao, Liang Li, Haiyan Wang, Chunbo Zhao, Zizhen Yi
2025 J jnl
DT-Transformer: A Text-Tactile Fusion Network for Object Recognition.
IEEE Trans. Haptics
Shengjie Qiu, Baojiang Li, Xichao Wang, Haiyan Wang, Haiyan Ye
2025 J jnl
Federated Cross-Modal Dynamic Network Framework for Early Warning of Systemic Financial Risks via Complex Networks and Machine Learning.
Informatica (Slovenia)
Baojiang Li
2025 J jnl
Fusion Analysis of EEG-fNIRS Multimodal Brain Signals: A Multitask Classification Algorithm Incorporating Spatial-Temporal Convolution and Dual Attention Mechanisms.
IEEE Trans. Instrum. Meas.
Xingbin Shi, Haiyan Wang, Baojiang Li, Yuxin Qin, Cheng Peng, Yifan Lu
2025 J jnl
Motion planning for 7-degree-of-freedom bionic arm: Deep deterministic policy gradient algorithm based on imitation of human action.
Eng. Appl. Artif. Intell.
Baojiang Li, Shengjie Qiu, Haiyan Ye, Yutin Guo, Haiyan Wang, Jibo Bai
2025 J jnl
Motor Imagery Classification Using fNIRS Brain Signals: A Method Based on Synthetic Data Augmentation and Cosine-Modulated Attention.
Comput. Intell.
Cheng Peng, Baojiang Li, Haiyan Wang, Xinbing Shi, Yuxin Qin
2025 J jnl
Object Recognition Using Shape and Texture Tactile Information: A Fusion Network Based on Data Augmentation and Attention Mechanism.
IEEE Trans. Haptics
Bin Wang, Baojiang Li, Liang Li, Zhekai Zhang, Shengjie Qiu, Haiyan Wang, Xichao Wang
2025 J jnl
Object recognition based on tactile information: A generalized recognition network combining wavelet transform and transformer model for small sample datasets.
Inf. Sci.
Liang Li, Shengjie Qiu, Baojiang Li, Bin Wang, Haiyan Wang, Zizhen Yi, Chunbo Zhao
2025 J jnl
RSA-fusion: radar spatial attention fusion for object detection and classification.
Multim. Tools Appl.
Boxun Feng, Baojiang Li, Shangbo Wang, Ningwei Ouyang, Wei Dai
2025 J jnl
Sa-SemNet: a Network Fused tactile Information and Semantic Attributes for Object Recognition.
Int. J. Robotics Autom.
Shengjie Qiu, Baojiang Li, Haiyan Ye, Haiyan Wang
2025 J jnl
TVT-Transformer: A Tactile-visual-textual fusion network for object recognition.
Inf. Fusion
Baojiang Li, Liang Li, Haiyan Wang, Guochu Chen, Bin Wang, Shengjie Qiu
2025 J jnl
VHTformer: A joint query perception method for visual-haptic-textual information based on Transformer.
Appl. Soft Comput.
Liang Li, Guochu Chen, Haiyan Wang, Baojiang Li, Bin Wang, Zizhen Yi, Chunbo Zhao
2024 J jnl
An efficient EEG signal fading processing framework based on the cognitive limbic system and deep learning.
Appl. Intell.
Wenlong Wang, Baojiang Li, Haiyan Wang, Xichao Wang
2024 J jnl
DDPG-based controlling algorithm for upper limb prosthetic shoulder joint.
Int. J. Control
Yuting Guo, Baojiang Li, Sotirios Spanogiannopoulos, Haiyan Wang, Jibo Bai
2024 J jnl
EEG-FMCNN: A fusion multi-branch 1D convolutional neural network for EEG-based motor imagery classification.
Medical Biol. Eng. Comput.
Wenlong Wang, Baojiang Li, Haiyan Wang, Xichao Wang, Yuxin Qin, Xingbin Shi, Shuxin Liu
2024 J jnl
Grasp with push policy for multi-finger dexterity hand based on deep reinforcement learning.
Appl. Soft Comput.
Baojiang Li, Shengjie Qiu, Jibo Bai, Haiyan Wang, Bin Wang, Zhekai Zhang, Liang Li, Xichao Wang
2024 J jnl
Interactive control algorithm for shoulder-amputated prosthesis and object based on reinforcement learning.
Trans. Inst. Meas. Control
Baojiang Li, Haiyan Ye, Yuting Guo, Haiyan Wang, Shengjie Qiu, Jibo Bai
2024 J jnl
Interactive learning for multi-finger dexterous hand: A model-free hierarchical deep reinforcement learning approach.
Knowl. Based Syst.
Baojiang Li, Shengjie Qiu, Jibo Bai, Bin Wang, Zhekai Zhang, Liang Li, Haiyan Wang, Xichao Wang
2024 J jnl
MP-Abr: a framework for intelligent recognition of abnormal behaviour in multi-person scenarios.
Multim. Tools Appl.
XiangQing Dong, Xichao Wang, Baojiang Li, Haiyan Wang, Guochu Chen
2024 J jnl
YH-Pose: Human pose estimation in complex coal mine scenarios.
Eng. Appl. Artif. Intell.
XiangQing Dong, Xichao Wang, Baojiang Li, Haiyan Wang, Guochu Chen, Meng Cai
2023 J jnl
A CNN-LSTM model for the effects of object temperature, object hardness, and grip strength on human sensation grasped by a prosthetic hand.
Multim. Tools Appl.
Jibo Bai, Baojiang Li, Haiyan Wang, Yutin Guo
2023 J jnl
VITO-Transformer: A Visual-Tactile Fusion Network for Object Recognition.
IEEE Trans. Instrum. Meas.
Baojiang Li, Jibo Bai, Shengjie Qiu, Haiyan Wang, Yutin Guo
2022 J jnl
Tactile Perception Information Recognition of Prosthetic Hand Based on DNN-LSTM.
IEEE Trans. Instrum. Meas.
Jibo Bai, Baojiang Li, Haiyan Wang, Yutin Guo

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.