Lei Huang - RankMe

23 papers Journal 8Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Unpacking the Effects of Heterogeneous Incentive Policies on Sea-Rail Intermodal Transport: Evidence from China. Syst. Weiguang Ma, Lei Huang, Rongjia Song, Xiong Zhang, Ying Wang, Qianyao Zhang
2023	J	`jnl`	Enabling Trust in Cross-Organisational Data Sharing for EMU Maintenance: A Double-Blockchain Solution. J. Inf. Knowl. Manag. Tie Zhang, Ying Wang, Lei Huang, Tao Zhou
2022	J	`jnl`	Business process redesign towards IoT-enabled context-awareness: the case of a Chinese bulk port. Bus. Process. Manag. J. Rongjia Song, Weiping Cui, Jan Vanthienen, Lei Huang, Ying Wang
2022	—	`conf`	Customer Value Classification Method of Bulk Port Based on RFVLD. ICEME Caiyue Wang, Lei Huang
2022	—	`conf`	Methods for Subheading Recognition in Recruitment Information. ICMSS You Wu, Lei Huang
2022	—	`conf`	Research on Forecasting of Port Bulk Freight Volume during the COVID-19 Pandemic Based on Time Series Analysis. ICMSS Lin Wei, Lei Huang, Haifeng Huang
2021	J	`jnl`	An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic. Sensors Feng Jiao, Lei Huang, Rongjia Song, Haifeng Huang
2021	—	`conf`	Data-driven Prediction of One-way Bus Running Time: An Integrated Model. ICMSS Haifeng Huang, Lei Huang, Feng Jiao, Rongjia Song, Jing Li
2021	—	`conf`	Information Behavior of Online Academic Social Platform: Case Study of ESI Highly Cited Researchers of ResearchGate. ICSIM Yanxia Niu, Lei Huang
2021	—	`conf`	Understanding the Blockchain Ecosystem with Analysis of Decentralized Applications: an Empirical Study. ICMSS Weiping Cui, Yixin Sun, Jieru Zhou, Ying Wang, Lei Huang, Yong Yan
2020	J	`jnl`	An Ensemble Learning Model for Short-Term Passenger Flow Prediction. Complex. Xiangping Wang, Lei Huang, Haifeng Huang, Baoyu Li, Ziyang Xia, Jing Li
2020	—	`conf`	Port Throughput Forecast Model Based on Adam Optimized GRU Neural Network. CSAI Xiubin Chen, Lei Huang
2019	—	`conf`	A DMN-Based Method for Context-Aware Business Process Modeling Towards Process Variability. BIS (1) Rongjia Song, Jan Vanthienen, Weiping Cui, Ying Wang, Lei Huang
2019	—	`conf`	Context-Aware BPM Using IoT-Integrated Context Ontologies and IoT-Enhanced Decision Models. CBI (1) Rongjia Song, Jan Vanthienen, Weiping Cui, Ying Wang, Lei Huang
2019	—	`conf`	Towards a comprehensive understanding of the context concepts in context-aware business processes. S-BPM ONE Rongjia Song, Jan Vanthienen, Weiping Cui, Ying Wang, Lei Huang
2019	—	`conf`	What Roles Do Decisions Play in Context-aware Business Process Management? ICEIS (2) Rongjia Song, Jan Vanthienen, Weiping Cui, Ying Wang, Lei Huang
2018	—	`conf`	Design of Dynamic Surveillance System for Port Bulk Cargo Entering and Leaving the Warehouse Based on RFID Technology. CSAI/ICIMT Yujian Wu, Lei Huang
2016	J	`jnl`	A Mapreduce Solution for Knowledge Reduction in Big Data. Int. J. Comput. Sci. Appl. Weiping Cui, Lei Huang
2016	—	`conf`	Content analysis of we media marketing. LISS Qingyun Ran, Lei Huang, Ying Wang, Chi Zhang, Xin Song
2016	—	`conf`	Mining organizational behaviors in collaborative logistics chain: An empirical study in a port. LISS Jie Wang, Bing Zhu, Ying Wang, Lei Huang
2014	J	`jnl`	Acquiring logistics process intelligence: Methodology and an application for a Chinese bulk port. Expert Syst. Appl. Ying Wang, Filip Caron, Jan Vanthienen, Lei Huang, Yi Guo
2014	J	`jnl`	Exploring the Effectiveness of Seller Reputation Mechanism Using Online Sales Data. J. Electron. Commer. Organ. Ying Wang, Lei Huang, Yi Guo
2013	—	`conf`	Investigating Service Behavior Variance in Port Logistics from a Process Perspective. Business Process Management Workshops Ying Wang, Filip Caron, Jan Vanthienen, Lei Huang, Yi 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.

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.