Lanxin Yang

32 papers A* 6A 2B 2C 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
Learning from Imperfect Reconstruction: Data Augmentation via Dual Convolution.
CNML
Jingchu Jia, Minglang Xu, Lanxin Yang, Qi Wang
2025 J jnl
A Knowledge Enhanced Large Language Model for Bug Localization.
Proc. ACM Softw. Eng.
Yue Li, Bohan Liu, Ting Zhang, Zhiqi Wang, David Lo, Lanxin Yang, Jun Lyu, He Zhang
2025 J jnl
Automated detection of affected libraries from vulnerability reports.
Autom. Softw. Eng.
Jinwei Xu, He Zhang, Xin Zhou, Yanjing Yang, Runfeng Mao, Xiaokang Li, Lanxin Yang, Haifeng Shen
2025 A* conf
Automatic Fixing of Missing Dependency Errors.
ASE
Jun Lyu, He Zhang, Lanxin Yang, Yue Li, Chenxing Zhong, Manuel Rigger
2025 J jnl
Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews.
Empir. Softw. Eng.
Lanxin Yang, He Zhang, Jinwei Xu, Jun Lyu, Xin Zhou, Dong Shao, Shan Gao, Alberto Bacchelli
2025 J jnl
DLAP: A Deep Learning Augmented Large Language Model Prompting framework for software vulnerability detection.
J. Syst. Softw.
Yanjing Yang, Xin Zhou, Runfeng Mao, Jinwei Xu, Lanxin Yang, Yu Zhang, Haifeng Shen, He Zhang
2025 J jnl
Leveraging Self-Paced Learning for Software Vulnerability Detection.
CoRR
Zeru Cheng, Yanjing Yang, He Zhang, Lanxin Yang, Jinghao Hu, Jinwei Xu, Bohan Liu, Haifeng Shen
2025 J jnl
Measuring software engineer's contribution in practice: An industrial experience report.
J. Softw. Evol. Process.
Yue Li, He Zhang, Lanxin Yang, Liming Dong, Juzheng Zhang, Bohan Liu
2025 J jnl
Prioritizing code review requests to improve review efficiency: a simulation study.
Empir. Softw. Eng.
Lanxin Yang, Bohan Liu, Junyu Jia, Jinwei Xu, Junming Xue, He Zhang, Alberto Bacchelli
2025 J jnl
Refactoring Microservices to Microservices in Support of Evolutionary Design.
IEEE Trans. Software Eng.
Chenxing Zhong, Shanshan Li, He Zhang, Huang Huang, Lanxin Yang, Yuanfang Cai
2025 A* conf
Securing Self-Managed Third-Party Libraries.
ASE
Xin Zhou, Jinwei Xu, He Zhang, Yanjing Yang, Lanxin Yang, Bohan Liu, Hongshan Tang
2024 J jnl
A preliminary investigation on using multi-task learning to predict change performance in code reviews.
Empir. Softw. Eng.
Lanxin Yang, He Zhang, Jinwei Xu, Jun Lyu, Xin Zhou, Dong Shao, Shan Gao, Alberto Bacchelli
2024 J jnl
An Automatic Grading System for Orthodontically Induced External Root Resorption Based on Deep Convolutional Neural Network.
J. Imaging Inform. Medicine
Shuxi Xu, Houli Peng, Lanxin Yang, Wenjie Zhong, Xiang Gao, Jinlin Song
2024 B conf
An Experience Report on Modeling Software Process in Industrial Context: Challenges and Solutions.
ICSSP
Yue Li, He Zhang, Liming Dong, Bohan Liu, Lanxin Yang
2024 A* conf
An Explainable Automated Model for Measuring Software Engineer Contribution.
ASE
Yue Li, He Zhang, Yuzhe Jin, Zhong Ren, Liming Dong, Jun Lyu, Lanxin Yang, David Lo, Dong Shao
2024 J jnl
DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection.
CoRR
Yanjing Yang, Xin Zhou, Runfeng Mao, Jinwei Xu, Lanxin Yang, Yu Zhangm, Haifeng Shen, He Zhang
2024 A* conf
Fine-SE: Integrating Semantic Features and Expert Features for Software Effort Estimation.
ICSE
Yue Li, Zhong Ren, Zhiqi Wang, Lanxin Yang, Liming Dong, Chenxing Zhong, He Zhang
2024 A* conf
GPP: A Graph-Powered Prioritizer for Code Review Requests.
ASE
Lanxin Yang, Jinwei Xu, He Zhang, Fanghao Wu, Jun Lyu, Yue Li, Alberto Bacchelli
2024 J jnl
Investigating Efficacy of Perplexity in Detecting LLM-Generated Code.
CoRR
Jinwei Xu, He Zhang, Yanjin Yang, Zeru Cheng, Jun Lyu, Bohan Liu, Xin Zhou, Lanxin Yang, Alberto Bacchelli, Yin Kia Chiam, Thiam Kian Chiew
2024 J jnl
Towards Efficient Build Ordering for Incremental Builds with Multiple Configurations.
Proc. ACM Softw. Eng.
Jun Lyu, Shanshan Li, He Zhang, Lanxin Yang, Bohan Liu, Manuel Rigger
2023 B conf
An Experience Report on Assessing Software Engineer's Outputs in Practice.
ICSSP
Juzheng Zhang, He Zhang, Lanxin Yang, Liming Dong, Yue Li
2023 — conf
EvaCRC: Evaluating Code Review Comments.
ESEC/SIGSOFT FSE
Lanxin Yang, Jinwei Xu, Yifan Zhang, He Zhang, Alberto Bacchelli
2023 A conf
Evaluating Learning-to-Rank Models for Prioritizing Code Review Requests using Process Simulation.
SANER
Lanxin Yang, Bohan Liu, Junyu Jia, Junming Xue, Jinwei Xu, Alberto Bacchelli, He Zhang
2023 J jnl
Secure Transmission in Integrated Communication-Radar Systems.
IEEE Syst. J.
Lanxin Yang, Mingjing Wang, Yechao Bai, Mengting Lou, Lan Tang
2022 — conf
An Industrial Experience Report on Retro-Inspection.
ICSE (SEIP)
Lanxin Yang, He Zhang, Fuli Zhang, Xiaodong Zhang, Guoping Rong
2022 J jnl
An Industrial Experience Report on Retro-inspection.
CoRR
Lanxin Yang, He Zhang, Fuli Zhang, Xiaodong Zhang, Guoping Rong
2022 J jnl
Memristive Recurrent Neural Network Circuit for Fast Solving Equality-Constrained Quadratic Programming With Parallel Operation.
IEEE Internet Things J.
Qinghui Hong, Lanxin Yang, Sichun Du, Ya Li
2022 A* conf
Modeling Review History for Reviewer Recommendation: A Hypergraph Approach.
ICSE
Guoping Rong, Yifan Zhang, Lanxin Yang, Fuli Zhang, Hongyu Kuang, He Zhang
2022 J jnl
Modeling Review History for Reviewer Recommendation: A Hypergraph Approach.
CoRR
Guoping Rong, Yifan Zhang, Lanxin Yang, Fuli Zhang, Hongyu Kuang, He Zhang
2021 J jnl
Quality Assessment in Systematic Literature Reviews: A Software Engineering Perspective.
Inf. Softw. Technol.
Lanxin Yang, He Zhang, Haifeng Shen, Xin Huang, Xin Zhou, Guoping Rong, Dong Shao
2021 C conf
Survey on Pains and Best Practices of Code Review.
APSEC
Liming Dong, He Zhang, Lanxin Yang, Zhiluo Weng, Xin Yang, Xin Zhou, Zifan Pan
2020 A conf
An Experimental Evaluation of Imbalanced Learning and Time-Series Validation in the Context of CI/CD Prediction.
EASE
Bohan Liu, He Zhang, Lanxin Yang, Liming Dong, Haifeng Shen, Kaiwen Song

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.