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2020 – today
- 2024
[c4]Xuanqi Gao
, Weipeng Jiang, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen:
Efficient DNN-Powered Software with Fair Sparse Models. ISSTA 2024: 983-995- [i4]Weipeng Jiang, Xuanqi Gao, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen:
From Effectiveness to Efficiency: Comparative Evaluation of Code Generated by LCGMs for Bilingual Programming Questions. CoRR abs/2406.00602 (2024) - [i3]Xuanqi Gao, Weipeng Jiang, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen:
Efficient DNN-Powered Software with Fair Sparse Models. CoRR abs/2407.02805 (2024) - 2023
- [c3]Weipeng Jiang, Chao Shen, Chenhao Lin, Jingyi Wang, Jun Sun, Xuanqi Gao:
Black-Box Fairness Testing with Shadow Models. ICICS 2023: 467-484 - [c2]Xuanqi Gao, Juan Zhai, Shiqing Ma, Chao Shen, Yufei Chen, Shiwei Wang:
CILIATE: Towards Fairer Class-Based Incremental Learning by Dataset and Training Refinement. ISSTA 2023: 475-487 - [i2]Xuanqi Gao, Juan Zhai, Shiqing Ma, Chao Shen, Yufei Chen, Shiwei Wang:
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement. CoRR abs/2304.04222 (2023) - 2022
- [c1]Xuanqi Gao, Juan Zhai, Shiqing Ma, Chao Shen, Yufei Chen, Qian Wang:
Fairneuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons. ICSE 2022: 921-933 - [i1]Xuanqi Gao, Juan Zhai, Shiqing Ma, Chao Shen, Yufei Chen, Qian Wang:
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons. CoRR abs/2204.02567 (2022)
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