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Dingbang Fang

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2020 – today

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2024
[j4]
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  - journals/ijseke/LiuLXLF24
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  - https://dblp.org/rec/journals/ijseke/LiuLXLF24
Haiyi Liu, Shaoying Liu, Guangquan Xu, Ai Liu, Dingbang Fang:
NNTBFV: Simplifying and Verifying Neural Networks Using Testing-Based Formal Verification. Int. J. Softw. Eng. Knowl. Eng. 34(2): 273-300 (2024)
2023
[j3]
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Dingbang Fang, Shaoying Liu, Yang Li:
Cross-Project Transfer Learning on Lightweight Code Semantic Graphs for Defect Prediction. Int. J. Softw. Eng. Knowl. Eng. 33(7): 1095-1117 (2023)
2022
[j2]
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Dingbang Fang, Shaoying Liu, Ai Liu:
Gated Homogeneous Fusion Networks With Jointed Feature Extraction for Defect Prediction. IEEE Trans. Reliab. 71(2): 512-526 (2022)
[c2]
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  - conf/sofl/LiuLLFX22
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Haiyi Liu, Shaoying Liu, Ai Liu, Dingbang Fang, Guangquan Xu:
Verifying and Improving Neural Networks Using Testing-Based Formal Verification. SOFL+MSVL 2022: 126-141
2021
[c1]
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  - conf/qrs/FangLL21
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Dingbang Fang, Shaoying Liu, Ai Liu:
EPR: a Neural Network for Automatic Feature Learning from Code for Defect Prediction. QRS 2021: 482-492
2020
[j1]
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  - journals/access/FangZ20b
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Dingbang Fang, Chenhao Zhang:
Multi-Feature Learning by Joint Training for Handwritten Formula Symbol Recognition. IEEE Access 8: 48101-48109 (2020)

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