Siqi Gu

According to our database, Siqi Gu authored at least 20 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

BM-DDFN: Bilinear cross-domain modeling for AIGC image source attribution.

Zihan Qin, Siqi Gu, Yuan Zhang, Lizhe Xie, Jing Mang, Qianyu Xiang, Yunfeng Guo, Zheng Wang, Yining Hu

Knowl. Based Syst., 2026

Detecting AI-generated videos via global semantic awareness and inter-frame semantic consistency.

Qianyu Xiang, Yunfeng Guo, Siqi Gu, Lizhe Xie, Yining Hu

Neurocomputing, 2026

2025

Large Language Models for Unit Testing: A Systematic Literature Review.

Quanjun Zhang, Chunrong Fang, Siqi Gu, Ye Shang, Zhenyu Chen, Liang Xiao

CoRR, June, 2025

A Large-Scale Empirical Study on Fine-Tuning Large Language Models for Unit Testing.

Ye Shang, Quanjun Zhang, Chunrong Fang, Siqi Gu, Jianyi Zhou, Zhenyu Chen

Proc. ACM Softw. Eng., 2025

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

Minjie Du, Siqi Gu, Zihan Qin, Lizhe Xie, Zheng Wang, Yining Hu

Neural Networks, 2025

Multiscale Features Integrated Model for Generalizable Deepfake Detection.

Siqi Gu, Zihan Qin, Lizhe Xie, Zheng Wang, Yining Hu

Int. J. Intell. Syst., 2025

An Improved Greylag Goose Optimization Algorithm for Heterogeneous Cloud Computing Task Scheduling.

Kecheng Li, Siqi Gu, Zhaojun Zhu, Shan Zhou, Zhenyu Chen

Proceedings of the 12th International Conference on Dependable Systems and Their Applications, 2025

2024

Streamlining YOLOv7 for Rapid and Accurate Detection of Rapeseed Varieties on Embedded Device.

Siqi Gu, Wei Meng, Guodong Sun

Sensors, September, 2024

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

Quanjun Zhang, Ye Shang, Chunrong Fang, Siqi Gu, Jianyi Zhou, Zhenyu Chen

CoRR, 2024

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

Siqi Gu, Chunrong Fang, Quanjun Zhang, Fangyuan Tian, Jianyi Zhou, Zhenyu Chen

CoRR, 2024

2023

A unified RGB-T crowd counting learning framework.

Siqi Gu, Zhichao Lian

Image Vis. Comput., March, 2023

Automated Testing for Text-to-Image Software.

Siqi Gu

CoRR, 2023

Test Case Reuse Method Based on Deep Semantic Matching.

Siqi Gu, Zhibiao Liu, Qiaoqing Liang, Zhimin Deng, Xiangyu Xiao

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Real-time Fruit Detection Method Based on RGB-D Image Fusion.

Lingjie Wang, Yunfeng Zhu, Siqi Gu, Zhenyu Chen

Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

DVTest: Deep Neural Network Visualization Testing Framework.

Siqi Gu, Zhaowei Zong, Fangyuan Tian, Zhenyu Chen

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.

Yun Zhang, Ziyu Yan, Shuhu Yang, Wanting Meng, Siqi Gu, Jin Qin, Yanling Han, Zhonghua Hong

Remote. Sens., 2022

Real-centric Consistency Learning for Deepfake Detection.

Ruiqi Zha, Zhichao Lian, Qianmu Li, Siqi Gu

CoRR, 2022

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

Siqi Gu, Zhichao Lian

CoRR, 2022

Block shuffling learning for Deepfake Detection.

Sitong Liu, Zhichao Lian, Siqi Gu, Liang Xiao

CoRR, 2022

MetaA: Multi-Dimensional Evaluation of Testing Ability via Adversarial Examples in Deep Learning.

Siqi Gu, Jiawei Liu, Zhanwei Hui, Wenhong Liu, Zhenyu Chen

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022