Yuejun Guo - RankMe

68 papers A* 4A 2B 2C 4Journal 40Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Empirical Study of the Imbalance Issue in Software Vulnerability Detection. CoRR Yuejun Guo, Qiang Hu, Qiang Tang, Yves Le Traon
2026	J	`jnl`	Combining large language and deep learning models for media text classification to perform supply chain due diligence risk assessments. EPJ Data Sci. Yuejun Guo, Joscha Krause, Djamel Khadraoui, Stéphane Cortina, Cathrine Aeckerle-Willems, Felix Viroli
2026	—	`conf`	Developing Intelligent Chatbots for Telecom Security Support: A Comparative Study of Large Language Model Utilization Strategies. ICAART (3) Yuejun Guo, Qiang Tang, Hoang Trang, Cu D. Nguyen
2026	J	`jnl`	Variable Renaming-Based Adversarial Test Generation for Code Model: Benchmark and Enhancement. ACM Trans. Softw. Eng. Methodol. Jin Wen, Qiang Hu, Yuejun Guo, Maxime Cordy, Yves Le Traon
2025	J	`jnl`	Assessing the Robustness of Test Selection Methods for Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Lei Ma, Yves Le Traon
2025	—	`conf`	Automatic Assessment of Corporate Sustainability Due Diligence Process Capability and CS3D Compliance. EuroSPI (1) Stéphane Cortina, Ruben J. Marques, Yuejun Guo, Joscha Krause
2025	J	`jnl`	Boosting source code learning with text-oriented data augmentation: an empirical study. Empir. Softw. Eng. Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
2025	J	`jnl`	Evaluating Pre-Trained Models for Multi-Language Vulnerability Patching. CoRR Zanis Ali Khan, Aayush Garg, Yuejun Guo, Qiang Tang
2025	J	`jnl`	From Retrieval to Response: Tracing the Impact of Embedding Quality in RAG Systems. IEEE Access Orlando Amaral Cejas, Yuejun Guo, Qiang Tang
2024	J	`jnl`	A comprehensive analysis on software vulnerability detection datasets: trends, challenges, and road ahead. Int. J. Inf. Sec. Yuejun Guo, Seifeddine Bettaieb, Fran Casino
2024	J	`jnl`	AI-Driven Software Security: Vulnerability Detection, Patching, and Anti-Fuzzing. ERCIM News Aayush Garg, Yuejun Guo, Qiang Tang
2024	J	`jnl`	Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. IEEE Trans. Software Eng. Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
2024	J	`jnl`	Data Quality Issues in Vulnerability Detection Datasets. CoRR Yuejun Guo, Seifeddine Bettaieb
2024	J	`jnl`	KAPE: ACM Trans. Softw. Eng. Methodol. Yuejun Guo, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon
2024	J	`jnl`	LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing. ACM Trans. Softw. Eng. Methodol. Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon
2024	J	`jnl`	On the effectiveness of hybrid pooling in mixup-based graph learning for language processing. J. Syst. Softw. Zeming Dong, Qiang Hu, Zhenya Zhang, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
2024	—	`conf`	Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection. ESORICS (1) Yuejun Guo, Constantinos Patsakis, Qiang Hu, Qiang Tang, Fran Casino
2024	J	`jnl`	Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection. CoRR Yuejun Guo, Constantinos Patsakis, Qiang Hu, Qiang Tang, Fran Casino
2024	A*	`conf`	Poster: Automated Dependency Mapping for Web API Security Testing Using Large Language Models. CCS Wanpeng Li, Yuejun Guo
2024	J	`jnl`	Test Optimization in DNN Testing: A Survey. ACM Trans. Softw. Eng. Methodol. Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
2024	J	`jnl`	Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study. Empir. Softw. Eng. Xueqi Dang, Yinghua Li, Wei Ma, Yuejun Guo, Qiang Hu, Mike Papadakis, Maxime Cordy, Yves Le Traon
2023	J	`jnl`	Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. CoRR Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
2023	J	`jnl`	An Empirical Study of Deep Learning-Based SS7 Attack Detection. Inf. Yuejun Guo, Orhan Ermis, Qiang Tang, Hoang Trang, Alexandre de Oliveira
2023	—	`conf`	An Empirical Study of the Imbalance Issue in Software Vulnerability Detection. ESORICS (4) Yuejun Guo, Qiang Hu, Qiang Tang, Yves Le Traon
2023	—	`conf`	An Investigation of Quality Issues in Vulnerability Detection Datasets. EuroS&P Workshops Yuejun Guo, Seifeddine Bettaieb
2023	A*	`conf`	Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation. ICSE Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon
2023	J	`jnl`	Boosting Source Code Learning with Data Augmentation: An Empirical Study. CoRR Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
2023	—	`conf`	Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study. QRS Companion Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Jianjun Zhao
2023	J	`jnl`	CodeLens: An Interactive Tool for Visualizing Code Representations. CoRR Yuejun Guo, Seifeddine Bettaieb, Qiang Hu, Yves Le Traon, Qiang Tang
2023	—	`conf`	CodeS: Towards Code Model Generalization Under Distribution Shift. ICSE (NIER) Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon
2023	J	`jnl`	DRE: density-based data selection with entropy for adversarial-robust deep learning models. Neural Comput. Appl. Yuejun Guo, Qiang Hu, Maxime Cordy, Michail Papadakis, Yves Le Traon
2023	J	`jnl`	Evaluating the Robustness of Test Selection Methods for Deep Neural Networks. CoRR Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Yves Le Traon
2023	J	`jnl`	Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations. CoRR Salah Ghamizi, Maxime Cordy, Yuejun Guo, Mike Papadakis, Yves Le Traon
2023	A*	`conf`	MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack. ASE Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon
2023	A	`conf`	MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation. SANER Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Zhenya Zhang, Yves Le Traon, Jianjun Zhao
2023	B	`conf`	Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment. CAIN Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
2022	J	`jnl`	An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement. ACM Trans. Softw. Eng. Methodol. Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, Yves Le Traon
2022	J	`jnl`	Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment. CoRR Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
2022	J	`jnl`	CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning. CoRR Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
2022	J	`jnl`	Efficient Testing of Deep Neural Networks via Decision Boundary Analysis. CoRR Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
2022	J	`jnl`	Enhancing Code Classification by Mixup-Based Data Augmentation. CoRR Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
2022	J	`jnl`	Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling. CoRR Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
2022	J	`jnl`	Labeling-Free Comparison Testing of Deep Learning Models. CoRR Yuejun Guo, Qiang Hu, Maxime Cordy, Xiaofei Xie, Mike Papadakis, Yves Le Traon
2022	B	`conf`	Robust active learning: sample-efficient training of robust deep learning models. CAIN Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon
2021	J	`jnl`	A scalable method to construct compact road networks from GPS trajectories. Int. J. Geogr. Inf. Sci. Yuejun Guo, Anton Bardera, Marta Fort, Rodrigo I. Silveira
2021	J	`jnl`	MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles. CoRR Yuejun Guo, Qiang Hu, Maxime Cordy, Michail Papadakis, Yves Le Traon
2021	J	`jnl`	Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models. CoRR Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon
2021	A*	`conf`	Towards Exploring the Limitations of Active Learning: An Empirical Study. ASE Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
2020	—	`—`	Advanced techniques in trajectory data analysis for anomaly detection and map construction. Yuejun Guo
2020	—	`conf`	Trajectory Anomaly Detection Based on the Mean Distance Deviation. ICONIP (4) Xiaoyuan Hu, Qing Xu, Yuejun Guo
2019	—	`conf`	Anomaly Detection Based on the Global-Local Anomaly Score for Trajectory Data. ICONIP (5) Chengcheng Li, Qing Xu, Cheng Peng, Yuejun Guo
2019	—	`conf`	Detail-Preserving Trajectory Summarization Based on Segmentation and Group-Based Filtering. MMM (2) Ting Wu, Qing Xu, Yunhe Li, Yuejun Guo, Klaus Schoeffmann
2019	—	`conf`	Eye Movement-Based Analysis on Methodologies and Efficiency in the Process of Image Noise Evaluation. ICANN (3) Cheng Peng, Qing Xu, Yuejun Guo, Klaus Schoeffmann
2019	J	`jnl`	SHNN-CAD Sensors Yuejun Guo, Anton Bardera
2018	J	`jnl`	A group-based signal filtering approach for trajectory abstraction and restoration. Neural Comput. Appl. Yuejun Guo, Qing Xu, Xiaoxiao Luo, Hao Wei, Hongjuan Bu, Mateu Sbert
2018	J	`jnl`	IBVis: Interactive Visual Analytics for Information Bottleneck Based Trajectory Clustering. Entropy Yuejun Guo, Qing Xu, Mateu Sbert
2018	J	`jnl`	Random-valued impulse noise removal using adaptive ranked-ordered impulse detector. J. Electronic Imaging Qing Xu, Yunhe Li, Yuejun Guo, Shang Wu, Mateu Sbert
2017	—	`conf`	The Abstraction for Trajectories with Different Numbers of Sampling Points. ICONIP (6) Peng Li, Qing Xu, Hao Wei, Yuejun Guo, Xiaoxiao Luo, Mateu Sbert
2017	J	`jnl`	Trajectory Shape Analysis and Anomaly Detection Utilizing Information Theory Tools . Entropy Yuejun Guo, Qing Xu, Peng Li, Mateu Sbert, Yu Yang
2016	—	`conf`	Fast Agglomerative Information Bottleneck Based Trajectory Clustering. ICONIP (3) Yuejun Guo, Qing Xu, Yang Fan, Sheng Liang, Mateu Sbert
2016	J	`jnl`	Selecting Video Key Frames Based on Relative Entropy and the Extreme Studentized Deviate Test. Entropy Yuejun Guo, Qing Xu, Shihua Sun, Xiaoxiao Luo, Mateu Sbert
2015	C	`conf`	3D Visualization of Multiscale Video Key Frames. IV Shihua Sun, Qing Xu, Yuejun Guo, Sheng Liang, Yang Fan
2015	A	`conf`	A mixed noise removal algorithm based on the maximum entropy principle. ICME Shang Wu, Qing Xu, Jialang Li, Yuejun Guo
2015	C	`conf`	Multiscale Visualization of Trajectory Data. IV Sheng Liang, Qing Xu, Yuejun Guo, Yang Fan
2015	—	`conf`	Trajectory Abstracting with Group-Based Signal Denoising. ICONIP (3) Xiaoxiao Luo, Qing Xu, Yuejun Guo, Hao Wei, Yimin Lv
2015	C	`conf`	Visualization on Agglomerative Information Bottleneck Based Trajectory Clustering. IV Yang Fan, Qing Xu, Yuejun Guo, Sheng Liang
2015	—	`conf`	XaIBO: An Extension of aIB for Trajectory Clustering with Outlier. ICONIP (2) Yuejun Guo, Qing Xu, Sheng Liang, Yang Fan, Mateu Sbert
2014	C	`conf`	A New Scheme for Trajectory Visualization. IV Yuejun Guo, Qing Xu, Xiu Li, Xiaoxiao Luo, Mateu Sbert