Baomin Xu - RankMe

31 papers A* 1C 2Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multimodal fNIRS-EEG Dataset for Unilateral Limb Motor Imagery. CoRR Lufeng Feng, Baomin Xu, Haoran Zhang, Bihai Lin, Zuxuan Deng, Sidi Tao, Chenyu Liu, Shifan Jia, Li Duan, Ziyu Jia
2026	J	`jnl`	Backdoor Detection in Federated Learning With Feature Map: A Multi-Task Learning Perspective. IEEE Trans. Inf. Forensics Secur. Yifan Sui, Yongqi Sun, Naiyue Chen, Yingying Zhao, Hongbo Cao, Baomin Xu
2026	J	`jnl`	Multivariate time series representation learning with multi-task graph neural network. Eng. Appl. Artif. Intell. Zhihui Gao, Baomin Xu, Jidong Yuan, Jinfeng Wang, Xu Li
2026	J	`jnl`	Supervised contrastive learning-based adaptive multi-scale time-frequency network for motor imagery decoding. Biomed. Signal Process. Control. Zuxuan Deng, Lufeng Feng, Shifan Jia, Baomin Xu
2025	A*	`conf`	A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer. IJCAI Jidong Yuan, Qihang Zhang, Naiyue Chen, Shengbo Chen, Baomin Xu
2024	—	`conf`	Parkinson's Recognition Method Based on Orthogonal Minimum Spanning Trees and Spatiotemporal Networks. ISAIMS Zhengkun Ge, Baomin Xu
2024	J	`jnl`	Tps: A new way to find good vertex-search order for exact subgraph matching. Multim. Tools Appl. Yixing Ma, Baomin Xu, Hongfeng Yin
2023	J	`jnl`	A Low-Memory Community Detection Algorithm With Hybrid Sparse Structure and Structural Information for Large-Scale Networks. IEEE Trans. Parallel Distributed Syst. Weiguo Zhu, Yongqi Sun, Rongqiang Fang, Baomin Xu
2023	J	`jnl`	An enhancement model based on dense atrous and inception convolution for image semantic segmentation. Appl. Intell. Erjing Zhou, Xiang Xu, Baomin Xu, Hongwei Wu
2023	J	`jnl`	Cloud workflow scheduling algorithm based on multi-objective particle swarm optimisation. Int. J. Grid Util. Comput. Hongfeng Yin, Baomin Xu, Weijing Li
2023	J	`jnl`	Depression screening using hybrid neural network. Multim. Tools Appl. Jiao Zhang, Baomin Xu, Hongfeng Yin
2021	J	`jnl`	Cloud workflow scheduling algorithm based on multi-objective hybrid particle swarm optimisation. Int. J. Grid Util. Comput. Gang Dai, Baomin Xu, Jianfeng Peng, Lei Zhang
2021	J	`jnl`	Community structure detection algorithm based on link prediction. Int. J. Inf. Commun. Technol. Gang Dai, Quanxin Wang, Baomin Xu, Lijun Sun
2020	J	`jnl`	Student-Centric Network Learning for Improved Knowledge Transfer. J. Inf. Sci. Eng. Hong-Ji Wang, Xiang Xu, Baomin Xu, Yu Shuang-Yuan, Wang Quan-Xin
2019	J	`jnl`	A spatial and temporal features mixture model with body parts for video-based person re-identification. Appl. Intell. Jie Liu, Cheng Sun, Xiang Xu, Baomin Xu, Shuangyuan Yu
2019	—	`conf`	Bidirectional Gated Recurrent Unit Networks for Relation Classification with Multiple Attentions and Semantic Information. ISNN (1) Bixiao Meng, Baomin Xu, Erjing Zhou, Shuangyuan Yu, Hongfeng Yin
2018	J	`jnl`	A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification. CoRR Jie Liu, Cheng Sun, Xiang Xu, Baomin Xu, Shuangyuan Yu
2018	J	`jnl`	Recurrent networks with attention and convolutional networks for sentence representation and classification. Appl. Intell. Tengfei Liu, Shuangyuan Yu, Baomin Xu, Hongfeng Yin
2016	J	`jnl`	A link prediction algorithm based on label propagation. J. Comput. Sci. Jie Liu, Baomin Xu, Xiang Xu, Tinglin Xin
2014	J	`jnl`	Compact Indexes Based on Core Content in Personal Dataspace Management System. Comput. Informatics Ning Wang, Hongfang Du, Baomin Xu, Guojun Dai
2013	—	`conf`	Characterization of a solid state air corona charging device. Sensors, Cameras, and Systems for Industrial and Scientific Applications Michael Young, Baomin Xu, Steve Buhler, Karl A. Littau
2011	J	`jnl`	A Cloud Computing Infrastructure on Heterogeneous Computing Resources. J. Comput. Baomin Xu, Ning Wang, Chunyan Li
2011	J	`jnl`	Job scheduling algorithm based on Berger model in cloud environment. Adv. Eng. Softw. Baomin Xu, Chunyan Zhao, Enzhao Hu, Bin Hu
2010	—	`conf`	Collaborative Integration and Management of Community Information in the Cloud. ICEE Ning Wang, Xu De, Baomin Xu
2009	—	`conf`	An Online Adaptive Network Anomaly Detection Model. CSO (2) Xiaotao Wei, Houkuan Huang, Shengfeng Tian, Xiaohui Yang, Baomin Xu
2009	J	`jnl`	Reusing single-user applications to create collaborative multi-member applications. Adv. Eng. Softw. Baomin Xu, Qiang Gao, Chunyan Li
2006	C	`conf`	A Novel Approach to Convert Single-user Applications into Collaborative Applications. CSCWD Baomin Xu, M. Rose, Zongkai Lin
2003	J	`jnl`	A general framework for constructing application cooperating system in Windows environment. ACM SIGSOFT Softw. Eng. Notes Baomin Xu, Weimin Lian, Qiang Gao
2003	J	`jnl`	Migration of active objects in proactive. Inf. Softw. Technol. Baomin Xu, Weimin Lian, Qiang Gao
2003	J	`jnl`	Migration of enterprise JavaBeans with ProActive Interposition Objects. ACM SIGPLAN Notices Baomin Xu, Weimin Lian, Qiang Gao
2002	C	`conf`	Application Cooperating: Issuas and Approaches. CSCWD Baomin Xu, Peng Gong, Zongkai Lin

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.