Lele Ma - RankMe

17 papers A* 1C 1Misc 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis. MICCAI (15) Kai Han, Chongwen Lyu, Lele Ma, Chengxuan Qian, Siqi Ma, Zheng Pang, Jun Chen, Zhe Liu
2025	J	`jnl`	CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis. CoRR Kai Han, Chongwen Lyu, Lele Ma, Chengxuan Qian, Siqi Ma, Zheng Pang, Jun Chen, Zhe Liu
2025	J	`jnl`	Data-Driven Iterative Learning Model Predictive Control With Self-Modified Prior Knowledge. IEEE Trans. Neural Networks Learn. Syst. Lele Ma, Xiangjie Liu, Furong Gao, Kwang Y. Lee
2024	J	`jnl`	Offset-Free Stochastic MPC for Uncertain Wind Energy Conversion System. IEEE Trans. Ind. Informatics Xiangjie Liu, Shifan Guo, Xiaobing Kong, Lele Ma, Kwang Y. Lee
2023	J	`jnl`	Event-Based Switching Iterative Learning Model Predictive Control for Batch Processes With Randomly Varying Trial Lengths. IEEE Trans. Cybern. Lele Ma, Xiangjie Liu, Furong Gao, Kwang Y. Lee
2022	J	`jnl`	An Efficient Iterative Learning Predictive Functional Control for Nonlinear Batch Processes. IEEE Trans. Cybern. Xiangjie Liu, Lele Ma, Xiaobing Kong, Kwang Y. Lee
2021	J	`jnl`	Iterative Learning Model Predictive Control Based on Iterative Data-Driven Modeling. IEEE Trans. Neural Networks Learn. Syst. Lele Ma, Xiangjie Liu, Xiaobing Kong, Kwang Y. Lee
2021	C	`conf`	One Layer for All: Efficient System Security Monitoring for Edge Servers. IPCCC Lele Ma
2021	J	`jnl`	Robust Model Predictive Iterative Learning Control for Iteration-Varying-Reference Batch Processes. IEEE Trans. Syst. Man Cybern. Syst. Xiangjie Liu, Lele Ma, Xiaobing Kong, Kwang Y. Lee
2021	J	`jnl`	Weighted-Attribute Triplet Hashing for Large-Scale Similar Judicial Case Matching. Comput. Intell. Neurosci. Jiamin Li, Xingbo Liu, Xiushan Nie, Lele Ma, Peng Li, Kai Zhang, Yilong Yin
2020	A*	`conf`	Silhouette: Efficient Protected Shadow Stacks for Embedded Systems. USENIX Security Symposium Jie Zhou, Yufei Du, Zhuojia Shen, Lele Ma, John Criswell, Robert J. Walls
2019	J	`jnl`	A Survey of Virtual Machine Management in Edge Computing. Proc. IEEE Zeyi Tao, Qi Xia, Zijiang Hao, Cheng Li, Lele Ma, Shanhe Yi, Qun Li
2019	J	`jnl`	Efficient Live Migration of Edge Services Leveraging Container Layered Storage. IEEE Trans. Mob. Comput. Lele Ma, Shanhe Yi, Nancy J. Carter, Qun Li
2019	J	`jnl`	Hierarchical Distributed Model Predictive Control of Standalone Wind/Solar/Battery Power System. IEEE Trans. Syst. Man Cybern. Syst. Xiaobing Kong, Xiangjie Liu, Lele Ma, Kwang Y. Lee
2019	J	`jnl`	Silhouette: Efficient Intra-Address Space Isolation for Protected Shadow Stacks on Embedded Systems. CoRR Jie Zhou, Yufei Du, Lele Ma, Zhuojia Shen, John Criswell, Robert J. Walls
2018	—	`conf`	A sEMG-based Hand Function Rehabilitation System for Stroke Patients. ICARM Lele Ma, Xingang Zhao, Ziyou Li, Ming Zhao, Zhuang Xu
2017	Misc	`conf`	Efficient service handoff across edge servers via docker container migration. SEC Lele Ma, Shanhe Yi, Qun Li

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.