Expertini Research Research

Browse Research Papers

338+ open-access research outputs.

✕ Clear
🔍 junru shao 📂 Computer Science
Showing 338 results for "junru shao" in Computer Science
Computer Science Preprint PDF DOI

SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks

Ashikuzzaman, Md. Saifuzzaman Abhi, Mahabubur Rahman, Md. Manjur Ahmed, Md. Mehedi Hasan, Md. Ahsan Arif · 2026

Software-Defined Networking (SDN) is another technology that has been developing in the last few years as a relevant technique to improve network programmability and administration. Nonetheless, its c…

Read Paper →
Computer Science Preprint PDF DOI

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems

Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Masoud Mansoury, Duc-Trong Le, Hoang-Quynh Le · 2026

Counterfactual explanations (CEs) provide an intuitive way to understand recommender systems by identifying minimal modifications to user-item interactions that alter recommendation outcomes. Existing…

Read Paper →
Computer Science Preprint PDF DOI

Learning from Change: Predictive Models for Incident Prevention in a Regulated IT Environment

Eileen Kapel, Jan Lennartz, Luis Cruz, Diomidis Spinellis, Arie van Deursen · 2026

Effective IT change management is important for businesses that depend on software and services, particularly in highly regulated sectors such as finance, where operational reliability, auditability, …

Read Paper →
Computer Science Preprint PDF DOI

VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization

Miit Daga, Swarna Priya Ramu · 2026

Organisations increasingly outsource privacy-sensitive data transformations to cloud providers, yet no practical mechanism lets the data owner verify that the contracted algorithm was faithfully execu…

Read Paper →
Computer Science Preprint PDF DOI

RansomTrack: A Hybrid Behavioral Analysis Framework for Ransomware Detection

Busra Caliskan, Ibrahim Gulatas, H. Hakan Kilinc, A. Halim Zaim · 2026

Ransomware poses a serious and fast-acting threat to critical systems, often encrypting files within seconds of execution. Research indicates that ransomware is the most reported cybercrime in terms o…

Read Paper →
Computer Science Preprint PDF DOI

Co-design for Trustworthy AI: An Interpretable and Explainable Tool for Type 2 Diabetes Prediction Using Genomic Polygenic Risk Scores

Ralf Beuthan, Megan Coffee, Heejin Kim, Na Yeon Kim, Pedro Kringen, Elisabeth Hildt, Haekyung Lee, Seunggeun Lee, Emilie Wiinblad Mathez, Sira Maliphol, Vadim Pak, Yuna Park, Stephan Sonnenberg, Jesmin Jahan Tithi, Magnus Westerlund, Roberto V. Zicari · 2026

The polygenic risk scores (PRS) have emerged as an important methodology for quantifying genetic predisposition to complex traits and clinical disease. Significant progress has been made in applying P…

Read Paper →
Computer Science Preprint PDF DOI

Shapley-Guided Neural Repair Approach via Derivative-Free Optimization

Xinyu Sun, Wanwei Liu, Haoang Chi, Tingyu Chen, Xiaoguang Mao, Shangwen Wang, Lei Bu, Jingyi Wang, Yang Tan, Zhenyi Qi · 2026

DNNs are susceptible to defects like backdoors, adversarial attacks, and unfairness, undermining their reliability. Existing approaches mainly involve retraining, optimization, constraint-solving, or …

Read Paper →
Computer Science Preprint PDF DOI

Interpretable Ensemble Learning for Network Traffic Anomaly Detection: A SHAP-based Explainable AI Framework for Embedded Systems Security

Wanru Shao · 2026

Network security threats in embedded systems pose significant challenges to critical infrastructure protection. This paper presents a comprehensive framework combining ensemble learning methods with e…

Read Paper →
Computer Science Preprint PDF DOI

CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks

Rakib Hossain Sajib, Md. Rokon Mia, Prodip Kumar Sarker, Abdullah Al Noman, Md Arifur Rahman · 2026

The Internet of Vehicles (IoV) has become an essential component of smart transportation systems, enabling seamless interaction among vehicles and infrastructure. In recent years, it has played a prog…

Read Paper →
Computer Science Preprint PDF DOI

An Explainable Federated Framework for Zero Trust Micro-Segmentation in IIoT Networks

Muhammad Liman Gambo, Ahmad Almulhem · 2026

Micro-segmentation as a core requirement of zero trust architecture (ZTA) divides networks into small security zones, called micro-segments, thereby minimizing impact of security breaches and restrict…

Read Paper →
Computer Science Preprint PDF DOI

Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling

Samuel Ozechi, Jennifer Okonkwoabutu · 2026

As the Internet of Things (IoT) continues to expand across critical infrastructure, smart environments, and consumer devices, securing them against cyber threats has become increasingly vital. Traditi…

Read Paper →
Computer Science Preprint PDF DOI

Adoption and Effectiveness of AI-Based Anomaly Detection for Cross Provider Health Data Exchange

Cao Tram Anh Hoang · 2026

This study investigates the adoption and effectiveness of AI-based anomaly detection in cross-provider electronic health record (EHR) environments. It aims to (1) identify the organisational and digit…

Read Paper →
Computer Science Preprint PDF DOI

Open-Source Reproduction and Explainability Analysis of Corrective Retrieval Augmented Generation

Surya Vardhan Yalavarthi · 2026

Corrective Retrieval Augmented Generation (CRAG) improves the robustness of RAG systems by evaluating retrieved document quality and triggering corrective actions. However, the original implementation…

Read Paper →
Computer Science Preprint PDF DOI

An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation

Mohammad Abboush, Ehab Ghannoum, Andreas Rausch · 2026

Advancements in data-driven machine learning have emerged as a pivotal element in supporting automotive software systems (ASSs) engineering across various levels of the V-development process. Duringsy…

Read Paper →
Computer Science Preprint PDF DOI

The Li-Chao Tree: Algorithm Specification and Analysis

Chao Li · 2026

The Li-Chao tree (LICT) was first introduced in lecture as an efficient data structure for dynamic lower envelope maintenance. In the years since, it has achieved widespread adoption within the compet…

Read Paper →
Computer Science Preprint PDF DOI

Registered Attribute-Based Encryption with Publicly Verifiable Certified Deletion, Everlasting Security, and More

Shayeef Murshid, Ramprasad Sarkar, Mriganka Mandal · 2026

Certified deletion ensures that encrypted data can be irreversibly deleted, preventing future recovery even if decryption keys are later exposed. Although existing works have achieved certified deleti…

Read Paper →
Computer Science Preprint PDF DOI

LLM-supported 3D Modeling Tool for Radio Radiance Field Reconstruction

Chengling Xu, Huiwen Zhang, Haijian Sun, Feng Ye · 2026

Accurate channel estimation is essential for massive multiple-input multiple-output (MIMO) technologies in next-generation wireless communications. Recently, the radio radiance field (RRF) has emerged…

Read Paper →
Computer Science Preprint PDF DOI

Reducing Labeling Effort in Architecture Technical Debt Detection through Active Learning and Explainable AI

Edi Sutoyo, Paris Avgeriou, Andrea Capiluppi · 2026

Self-Admitted Technical Debt (SATD) refers to technical compromises explicitly admitted by developers in natural language artifacts such as code comments, commit messages, and issue trackers. Among it…

Read Paper →
Computer Science Preprint PDF DOI

Exploring Robust Intrusion Detection: A Benchmark Study of Feature Transferability in IoT Botnet Attack Detection

Alejandro Guerra-Manzanares, Jialin Huang · 2026

Cross-domain intrusion detection remains a critical challenge due to significant variability in network traffic characteristics and feature distributions across environments. This study evaluates the …

Read Paper →
Computer Science Preprint PDF DOI

Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints

Nelly Elsayed · 2026

Distributed denial-of-service (DDoS) attacks threaten the availability of Internet of Things (IoT) infrastructures, particularly under resource-constrained deployment conditions. Although transfer lea…

Read Paper →
Page 1 of 17 Next →