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Yutian Tang

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Lecturer (Assistant Professor)

University of Glasgow

United Kingdom

Research Interests

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About

Yutian Tang is an Assistant Professor at the University of Glasgow, located in the United Kingdom. His research areas include software security, particularly in the context of mobile applications and smart contracts, as evidenced by his recent work on Android app bundles and the detection of code smells in smart contracts using large language models. He has also explored the quality of code generation by AI tools and the vulnerabilities of deep learning applications to adversarial attacks.

Recent Grants

Grant: Close

OpenAI API Researcher Access Program

Open Date: 2024-03-01

Close Date: 2025-03-01

Grant: Close

Research on Android App Debloating with Multi-dimension, Multi-semantic Module Mining (No. 62202306)

Open Date: 2023-01-01

Close Date: 2025-12-01

Grant: Close

Vulnerable Components Detection for Apps

Open Date: 2021-10-01

Close Date: 2023-09-01

Grant: Close

Early-career Research Fund

Open Date: 2020-10-01

Close Date: 2026-10-01

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Collaborators (6)

David Benavides

Universidad de Sevilla

SPAIN

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Chenxiong Qian

Assistant Professor

The University of Hong Kong

CHINA

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John Grundy

Laureate Professor

MONASH UNIVERSITY

AUSTRALIA

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Xutong Liu

Delft University of Technology

NETHERLANDS

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Oscar Diaz

Full Professor

University of the Basque Country

SPAIN

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YUNFEI LONG

Senior Lecturer

Queen Mary University of London

UNITED KINGDOM

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Yutian Tang

Research Interests

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About

Recent Grants

Articles (31)

Lost in Translation, Found in Summary: Summary-Driven Supervision for Cross-Language Code Retrieval

WhisperCatcher: Demystifying Unauthorized and Encrypted Private Data Transmission in Android Applications

Beyond Coverage: Automatic Test Suite Augmentation for Enhanced Effectiveness using Large Language Models

An empirical study on low-code programming using traditional vs large language model support

LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models

A Systematic Study on Real-world Android App Bundles

Artemis: Toward Accurate Detection of Server-Side Request Forgeries through LLM-Assisted Inter-procedural Path-Sensitive Taint Analysis

SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection

SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection

Unearthing Gas-Wasting Code Smells in Smart Contracts With Large Language Models

Human-in-the-loop online just-in-time software defect prediction: What have we achieved and what do we still miss?

Feedback Analysis in Software Product Line Forked Developments

KEENHash: Hashing Programs into Function-Aware Embeddings for Large-Scale Binary Code Similarity Analysis

Characterising Bugs in Jupyter Platform

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT

ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation

ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation

Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation

Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation

Corrections to “Uncovering Bugs in Code Coverage Profilers via Control Flow Constraint Solving”

Corrections to “Uncovering Bugs in Code Coverage Profilers via Control Flow Constraint Solving”

Unearthing Gas-Wasting Code Smells in Smart Contracts With Large Language Models

Deriving Thresholds of Object-Oriented Metrics to Predict Defect-Proneness of Classes: A Large-Scale Meta-Analysis

Towards Automatically Localizing Function Errors in Mobile Apps With User Reviews

Cheating your apps: Black‐box adversarial attacks on deep learning apps

Uncovering Bugs in Code Coverage Profilers via Control Flow Constraint Solving

XDebloat: Towards Automated Feature-Oriented App Debloating

Object-Level Remote Sensing Image Augmentation Using U-Net-Based Generative Adversarial Networks

AComNN: Attention enhanced Compound Neural Network For financial time-series forecasting with cross-regional features

A Systematical Study on Application Performance Management Libraries for Apps

Collaborators (6)

David Benavides

Chenxiong Qian

John Grundy

Xutong Liu

Oscar Diaz

YUNFEI LONG

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