Yang Syu

28 papers A 1B 1Misc 3Journal 9Unranked 14
YearRankTypeTitle / Venue / Authors
2024 — conf
Extracting Tuple-Based Service Demands with Large Language Models for Automated Service Composition.
SCC
Chih-Jung Hsu, Yu-Xiang Luo, Yi-Chen Mao, Chien-Min Wang, Yang Syu
2023 A conf
A Gap Between Automated Service Composition Research and Software Engineering Development Practice: Service Descriptions.
ICWS
Yang Syu, Chien-Min Wang
2023 — conf
Multi-Step-Ahead Web Service QoS Time Series Forecasting: A Multi-Predictor-Based Genetic Programming Approach.
GECCO Companion
Yang Syu, Yong-Yi Fanjiang
2022 — conf
A verified application of genetic programming: QoS time series modeling and forecasting for web services.
GECCO Companion
Yang Syu, Chien-Min Wang, Yong-Yi Fanjiang
2022 J jnl
Time Series QoS Forecasting for Web Services Using Multi-Predictor-Based Genetic Programming.
IEEE Trans. Serv. Comput.
Yong-Yi Fanjiang, Yang Syu, Wei-Lun Huang
2022 — conf
Using Genetic Programming to Identify Probability Distribution behind Data: A Preliminary Trial.
ICDM (Workshops)
Yang Syu, Chien-Min Wang
2021 J jnl
QoS Time Series Modeling and Forecasting for Web Services: A Comprehensive Survey.
IEEE Trans. Netw. Serv. Manag.
Yang Syu, Chien-Min Wang
2021 — conf
Rule-Based Extraction of Tuple-Based Service Demand from Natural Language-Based Software Requirement for Automated Service Composition.
SCC
Yang Syu, Yu-Jen Tsao, Chien-Min Wang
2021 J jnl
Test-Oriented RESTful Service Discovery with Semantic Interface Compatibility.
IEEE Trans. Serv. Comput.
Shang-Pin Ma, Ying-Jen Chen, Yang Syu, Hsuan-Ju Lin, Yong-Yi Fanjiang
2020 — conf
QoS Time Series Modeling and Forecasting for Web Services: A Comprehensive Survey of Subsequent Applications and Experimental Configurations.
SCC
Yang Syu, Chien-Min Wang
2019 — conf
An Empirical Investigation of Real-World QoS of Web Services.
SCC
Yang Syu, Chien-Min Wang
2019 J jnl
Modeling and Forecasting of Time-Aware Dynamic QoS Attributes for Cloud Services.
IEEE Trans. Netw. Serv. Manag.
Yang Syu, Chien-Min Wang, Yong-Yi Fanjiang
2018 — conf
A Survey of Time-Aware Dynamic QoS Forecasting Research, Its Future Challenges and Research Directions.
SCC
Yang Syu, Chien-Min Wang, Yong-Yi Fanjiang
2018 J jnl
Applying Computational Intelligence Techniques to QoS Time Series Forecasting in Services Computing.
J. Comput.
Yang Syu, Yong-Yi Fanjiang
2017 J jnl
An Overview and Classification of Service Description Approaches in Automated Service Composition Research.
IEEE Trans. Serv. Comput.
Yong-Yi Fanjiang, Yang Syu, Shang-Pin Ma, Jong-Yih Kuo
2017 J jnl
Time series forecasting for dynamic quality of web services: An empirical study.
J. Syst. Softw.
Yang Syu, Jong-Yih Kuo, Yong-Yi Fanjiang
2016 Misc conf
Quality of Service timeseries forecasting for Web Services: A machine learning, Genetic Programming-based approach.
CISS
Yang Syu, Yong-Yi Fanjiang, Jong-Yih Kuo, Jui-Lung Su
2016 J jnl
Search based approach to forecasting QoS attributes of web services using genetic programming.
Inf. Softw. Technol.
Yong-Yi Fanjiang, Yang Syu, Jong-Yih Kuo
2015 — conf
Applying Genetic Programming for Time-Aware Dynamic QoS Prediction.
IEEE MS
Yang Syu, Yong-Yi Fanjiang, Jong-Yih Kuo, Shang-Pin Ma
2014 — conf
A Review of the Automatic Web Service Composition Surveys.
ICSC
Yang Syu, Yong-Yi Fanjiang, Jong-Yih Kuo, Shang-Pin Ma
2014 J jnl
Semantic-based automatic service composition with functional and non-functional requirements in design time: A genetic algorithm approach.
Inf. Softw. Technol.
Yong-Yi Fanjiang, Yang Syu
2013 — conf
A Survey to Service Composition Methods Using Aspects Classification.
SOSE
Yang Syu, Yong-Yi Fanjiang
2012 — conf
A Genetic Algorithm with Prioritized Objective Functions for Service Composition.
AINA Workshops
Yang Syu, Yong-Yi Fanjiang, Jong-Yih Kuo, Shang-Pin Ma
2012 — conf
A Survey on Automated Service Composition Methods and Related Techniques.
IEEE SCC
Yang Syu, Shang-Pin Ma, Jong-Yih Kuo, Yong-Yi Fanjiang
2011 Misc conf
An automated workflow composition to semantic web services.
ICMLC
Yang Syu, Yong-Yi Fanjiang, Jong-Yih Kuo, Shang-Pin Ma
2011 B conf
Towards a Genetic Algorithm Approach to Automating Workflow Composition for Web Services with Transactional and QoS-Awareness.
SERVICES
Yang Syu, Yong-Yi Fanjiang, Jong-Yih Kuo, Shang-Pin Ma
2011 — conf
Transactional Web Services Composition: A Genetic Algorithm Approach.
ICSECS (1)
Yong-Yi Fanjiang, Yang Syu, Shang-Pin Ma, Jong-Yih Kuo
2010 Misc conf
Genetic algorithm for QoS-aware dynamic web services composition.
ICMLC
Yong-Yi Fanjiang, Yang Syu, Chun-Hung Wu, Jong-Yih Kuo, Shang-Pin Ma

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.