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Weijun Su

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Journal Articles

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2021
[j3]
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  - journals/complexity/GaoFZYSNH21
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  - https://dblp.org/rec/journals/complexity/GaoFZYSNH21
Keke Gao, Wenbin Feng, Xia Zhao, Chongchong Yu, Weijun Su, Yuqing Niu, Lu Han:
Anomaly Detection for Time Series with Difference Rate Sample Entropy and Generative Adversarial Networks. Complex. 2021: 5854096:1-5854096:13 (2021)
[j2]
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  - journals/jips/WangZYS21
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  - https://dblp.org/rec/journals/jips/WangZYS21
Yu Wang, Wen Zhou, Chongchong Yu, Weijun Su:
Assisted Magnetic Resonance Imaging Diagnosis for Alzheimer's Disease Based on Kernel Principal Component Analysis and Supervised Classification Schemes. J. Inf. Process. Syst. 17(1): 178-190 (2021)
[j1]
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  - journals/nca/YuNQSZ21
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Chongchong Yu, Yaqian Ning, Yong Qin, Weijun Su, Xia Zhao:
Multi-label fault diagnosis of rolling bearing based on meta-learning. Neural Comput. Appl. 33(10): 5393-5407 (2021)

Conference and Workshop Papers

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2022
[c2]
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  - conf/icassp/ChaiSTDFL22
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  - https://dblp.org/rec/conf/icassp/ChaiSTDFL22
Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, Qing Liao:
Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network. ICASSP 2022: 3563-3567
2013
[c1]
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  - conf/iih-msp/LiSYC13
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Mingxing Li, Weijun Su, Chongchong Yu, Xiuxin Chen:
Gait Recognition Bases on the Compressed Sensing. IIH-MSP 2013: 407-410

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