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[1]Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei. Fast and Accurate Binary Neural Networks based on Depth-Width Reshaping. AAAI 2023，Washington D.C，Feb 07-14, 2023,2023
[2]Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei. Automatic channel pruning via clustering and swarm intelligence optimization for CNN, Applied Intelligence，2022，52 (15) ：17751-17771,2022
[3]Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei. Global balanced iterative pruning for efficient convolutional neural networks. Neural Computing and Applications，2022，34 (23)：21119-21138,2022
[4]Ping Xue, Yang Lu, Jingfei Chang, Xing Wei and Zhen Wei. Self-Distribution Binary Neural Networks, Applied Intelligence,2022, 52 (12): 13870-13882,2022
[5]Zhu Wuqiang, Lu Yang, Zhang Yongliang, Wei Xing and Wei Zhen. End-to-end driving model based on deep learning and attention mechanism. Journal of Intelligent & Fuzzy Systems, 2022，42 (4)：3337–3348,2022
[6]Chang Jingfei, Lu Yang, Xue Ping, Wei Xing, Wei Zhen. Compressing convolutional neural networks via intermediate features. Journal of Intelligent & Fuzzy Systems, 41 (2021) 2687–2699,2021
[7]Jie Zhang, Yang Lu, Ke Shi, and Chong Xu. An Empirical Research on Application of StructureBased Software Reliability Model. IEEE/CAA Journal of Automatica Sinica, 2021, 8(6): 1153–1162,2021
[8]Ke Shi, Yang Lu, Guangliang Liu. Zhenchun Wei, Jingfei Chang. MPT-embedding: An unsupervised representation learning of code for software defect prediction. Software: Evolution and Process，2021; 33(04): e2330,2021
[9]张捷，陆阳，张本宏，刘广亮. 面向软件演化的可靠性分析代数方法, 自动化学报，2021，47(01)：148-160,2021
[10]Ke Shi, Yang Lu, Jingfei Chang, Zhen Wei. PathPair2Vec: An AST path pair-based code representation method for defect prediction, Journal of Computer Languages，59 (2020)，100979 ：1-11,2020
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