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2020 – today
- 2024
[j12]Bo Lyu
, Yin Yang, Yuting Cao, Pengcheng Wang, Jian Zhu, Jingfei Chang, Shiping Wen:
Efficient multi-objective neural architecture search framework via policy gradient algorithm. Inf. Sci. 661: 120186 (2024)- [j11]Jingfei Chang, Liping Tao, Bo Lyu, Xiangming Zhu, Shanyun Liu, Qiaosha Zou, Hongyang Chen:
BAP: Bilateral asymptotic pruning for optimizing CNNs on image tasks. Inf. Sci. 678: 120898 (2024) - [i8]Jian Zhu, Yuping Ruan, Jingfei Chang, Cheng Luo:
Deep Prompt Multi-task Network for Abuse Language Detection. CoRR abs/2403.05268 (2024) - 2023
- [j10]Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei:
Iterative clustering pruning for convolutional neural networks. Knowl. Based Syst. 265: 110386 (2023) - [j9]Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei:
IR2Net: information restriction and information recovery for accurate binary neural networks. Neural Comput. Appl. 35(19): 14449-14464 (2023) - [c1]Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei:
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping. AAAI 2023: 10684-10692 - [i7]Jian Zhu, Mingkai Sheng, Mingda Ke, Zhangmin Huang, Jingfei Chang:
CLIP Multi-modal Hashing: A new baseline CLIPMH. CoRR abs/2308.11797 (2023) - 2022
- [j8]Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei:
Self-distribution binary neural networks. Appl. Intell. 52(12): 13870-13882 (2022) - [j7]Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei:
Automatic channel pruning via clustering and swarm intelligence optimization for CNN. Appl. Intell. 52(15): 17751-17771 (2022) - [j6]Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei:
Global balanced iterative pruning for efficient convolutional neural networks. Neural Comput. Appl. 34(23): 21119-21138 (2022) - [i6]Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei:
IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks. CoRR abs/2210.02637 (2022) - 2021
- [j5]Jingfei Chang, Yang Lu, Ping Xue, Xing Wei, Zhen Wei:
Compressing convolutional neural networks via intermediate features. J. Intell. Fuzzy Syst. 41(2): 2687-2699 (2021) - [j4]Ke Shi, Yang Lu, Guangliang Liu, Zhenchun Wei, Jingfei Chang:
MPT-embedding: An unsupervised representation learning of code for software defect prediction. J. Softw. Evol. Process. 33(4) (2021) - [i5]Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei:
ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence Optimization for CNN. CoRR abs/2101.06407 (2021) - [i4]Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei:
Self-Distribution Binary Neural Networks. CoRR abs/2103.02394 (2021) - [i3]Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei:
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks. CoRR abs/2108.13591 (2021) - 2020
- [j3]Ke Shi, Yang Lu, Jingfei Chang, Zhen Wei:
PathPair2Vec: An AST path pair-based code representation method for defect prediction. J. Comput. Lang. 59: 100979 (2020) - [i2]Jingfei Chang, Yang Lu, Ping Xue, Xing Wei, Zhen Wei:
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration. CoRR abs/2010.01251 (2020) - [i1]Jingfei Chang:
Coarse and fine-grained automatic cropping deep convolutional neural network. CoRR abs/2010.06379 (2020)
2010 – 2019
- 2019
- [j2]Guangliang Liu, Yang Lu, Ke Shi, Jingfei Chang, Xing Wei:
Mapping Bug Reports to Relevant Source Code Files Based on the Vector Space Model and Word Embedding. IEEE Access 7: 78870-78881 (2019) - [j1]Guangliang Liu, Yang Lu, Ke Shi, Jingfei Chang, Xing Wei:
Convolutional Neural Networks-Based Locating Relevant Buggy Code Files for Bug Reports Affected by Data Imbalance. IEEE Access 7: 131304-131316 (2019)
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