MetaA: Multi-Dimensional Evaluation of Testing Ability via Adversarial Examples in Deep Learning. - Siqi Gu; Jiawei Liu; Zhanwei Hui; Wenhong Liu; Zhenyu Chen 001 (QRS, 2022)

Block shuffling learning for Deepfake Detection. - Sitong Liu; Zhichao Lian; Siqi Gu; Liang Xiao 001 (CoRR, 2022)

A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting. - Siqi Gu; Zhichao Lian (CoRR, 2022)

Real-centric Consistency Learning for Deepfake Detection. - Ruiqi Zha; Zhichao Lian; Qianmu Li; Siqi Gu (CoRR, 2022)

Research on Shore-Based River Flow Velocity Inversion Model Using GNSS-R Raw Data. - Yun Zhang 012; Ziyu Yan; Shuhu Yang; Wanting Meng; Siqi Gu; Jin Qin; Yanling Han; Zhonghua Hong (Remote. Sens., 2022)

DVTest: Deep Neural Network Visualization Testing Framework. - Siqi Gu; Zhaowei Zong; Fangyuan Tian; Zhenyu Chen 001 (DSA, 2023)

Real-time Fruit Detection Method Based on RGB-D Image Fusion. - Lingjie Wang; Yunfeng Zhu; Siqi Gu; Zhenyu Chen 001 (DSA, 2023)

Test Case Reuse Method Based on Deep Semantic Matching. - Siqi Gu; Zhibiao Liu; Qiaoqing Liang; Zhimin Deng; Xiangyu Xiao (QRS Companion, 2023)

Automated Testing for Text-to-Image Software. - Siqi Gu (CoRR, 2023)

A unified RGB-T crowd counting learning framework. - Siqi Gu; Zhichao Lian (Image Vis. Comput., 2023)

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 001 (CoRR, 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 001 (CoRR, 2024)

Streamlining YOLOv7 for Rapid and Accurate Detection of Rapeseed Varieties on Embedded Device. - Siqi Gu; Wei Meng; Guodong Sun 001 (Sensors, 2024)

Multiscale Features Integrated Model for Generalizable Deepfake Detection. - Siqi Gu; Zihan Qin; Lizhe Xie; Zheng Wang; Yining Hu (Int. J. Intell. Syst., 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)

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 001 (Proc. ACM Softw. Eng., 2025)

Large Language Models for Unit Testing: A Systematic Literature Review. - Quanjun Zhang; Chunrong Fang; Siqi Gu; Ye Shang; Zhenyu Chen 001; Liang Xiao (CoRR, 2025)