Fairneuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons. - Xuanqi Gao; Juan Zhai; Shiqing Ma; Chao Shen 001; Yufei Chen 001; Qian Wang 002 (ICSE, 2022)

Black-Box Fairness Testing with Shadow Models. - Weipeng Jiang; Chao Shen 001; Chenhao Lin; Jingyi Wang 004; Jun Sun 001; Xuanqi Gao (ICICS, 2023)

CILIATE: Towards Fairer Class-Based Incremental Learning by Dataset and Training Refinement. - Xuanqi Gao; Juan Zhai; Shiqing Ma; Chao Shen 001; Yufei Chen 001; Shiwei Wang (ISSTA, 2023)

Efficient DNN-Powered Software with Fair Sparse Models. - Xuanqi Gao; Weipeng Jiang; Juan Zhai; Shiqing Ma; Xiaoyu Zhang 013; Chao Shen 001 (ISSTA, 2024)

Fairness in machine learning: definition, testing, debugging, and application. - Xuanqi Gao; Chao Shen 001; Weipeng Jiang; Chenhao Lin; Qian Li 024; Qian Wang 002; Qi Li 002; Xiaohong Guan (Sci. China Inf. Sci., 2024)

From Effectiveness to Efficiency: Comparative Evaluation of Code Generated by LCGMs for Bilingual Programming Questions. - Weipeng Jiang; Xuanqi Gao; Juan Zhai; Shiqing Ma; Xiaoyu Zhang 013; Chao Shen 001 (CoRR, 2024)

MCP-RADAR: A Multi-Dimensional Benchmark for Evaluating Tool Use Capabilities in Large Language Models. - Xuanqi Gao; Siyi Xie; Juan Zhai; Shqing Ma; Chao Shen 001 (CoRR, 2025)

ASSURE: Metamorphic Testing for AI-powered Browser Extensions. - Xuanqi Gao; Juan Zhai; Shiqing Ma; Siyi Xie; Chao Shen 001 (CoRR, 2025)

Mitigating Stylistic Biases of Machine Translation Systems via Monolingual Corpora Only. - Xuanqi Gao; Weipeng Jiang; Juan Zhai; Shiqing Ma; Siyi Xie; Xinyang Yin; Chao Shen 001 (CoRR, 2025)