Siqi Gu

Orcid: 0009-0004-0450-1539

According to our database1, Siqi Gu authored at least 17 papers between 2022 and 2025.

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Bibliography

2025
Large Language Models for Unit Testing: A Systematic Literature Review.
CoRR, June, 2025

A Large-Scale Empirical Study on Fine-Tuning Large Language Models for Unit Testing.
Proc. ACM Softw. Eng., 2025

A generalized defect-data-free defect inspection method based on image reconstruction and anomaly detection.
Neural Networks, 2025

Multiscale Features Integrated Model for Generalizable Deepfake Detection.
Int. J. Intell. Syst., 2025

2024
Streamlining YOLOv7 for Rapid and Accurate Detection of Rapeseed Varieties on Embedded Device.
Sensors, September, 2024

TestBench: Evaluating Class-Level Test Case Generation Capability of Large Language Models.
CoRR, 2024

TestART: Improving LLM-based Unit Test via Co-evolution of Automated Generation and Repair Iteration.
CoRR, 2024

2023
A unified RGB-T crowd counting learning framework.
Image Vis. Comput., March, 2023

Automated Testing for Text-to-Image Software.
CoRR, 2023

Test Case Reuse Method Based on Deep Semantic Matching.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Real-time Fruit Detection Method Based on RGB-D Image Fusion.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

DVTest: Deep Neural Network Visualization Testing Framework.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

2022
Research on Shore-Based River Flow Velocity Inversion Model Using GNSS-R Raw Data.
Remote. Sens., 2022

Real-centric Consistency Learning for Deepfake Detection.
CoRR, 2022

A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting.
CoRR, 2022

Block shuffling learning for Deepfake Detection.
CoRR, 2022

MetaA: Multi-Dimensional Evaluation of Testing Ability via Adversarial Examples in Deep Learning.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022


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