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王超
个人信息Personal Information
研究员
博士生导师
硕士生导师
性别：男
在职信息：在职
所在单位：光学与电子信息学院
学历：研究生(博士)毕业
学位：工学博士学位
毕业院校：南洋理工大学
学科：微电子学与固体电子学
电路与系统
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Z. Fang,W. Wang, J. Wang, B. Liu, K. Tang, L. Lou, C-H Heng.C. Wang* and Y. Zheng.Integrated Wideband Chip-Scale RF Transceivers for Radar Sensing and UWB Communications: A Survey.[J].IEEE Circuits and Systems Magazine (CAS-M),2022,(1):40-76
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A. Hu,Q. Wang, D. Han, S. Zhao, B. Liu, Y. Yu, Y. Li, C. Wang,and X. Zou,.G. Yu.Efficient Hardware Accelerator Design of Non-linear Optimization Correlative Scan Matching Algorithm in 2D LiDAR SLAM for Mobile Robots.[J].Sensors,2022,(8947):
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X. Zhang, B. Liu,Y. Zhao, X. Hu, Z. Shen, Z. Zheng, Z. Liu, K. S. Chong, X. Zou,.G. Yu*, C. Wang*,.Design and Analysis of Area and Energy Efficient Reconfigurable Cryptographic Accelerator for Securing IoT Devices.[J].Sensors,2022,(23):9160
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Y. Cao,W. Liu, L. Qin, B. Liu, S. Chen, J. Ye, X. Xia.C. Wang*.Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function.[J].Entropy,2022,(11):
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B. Liu, Z. Wen,,H. Zhu, J. Lai, J. Wu, H. Ping, W. Liu, G. Yu, J. Zhang, Z. Liu,.H. Zeng and C. Wang.Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network.[C].2022 IEEE International Symposium on Circuits and Systems (ISCAS 2022),
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W. Liang, J. Xu,,Y. Zhao, Z. Shen, G. Yu, Y. He, and.C. Wang*.An IMPLY-based Memristive Multiplier for Computing-in-Memory Systems with Weight-Stationary CNN Acceleration.[C].IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA 2022),
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J. Wu,, X. Huang, L. Yang, L. Wang, J. Wang, B. Liu, G. Yu, K. S. Chong,.C. Wang*.An Energy-efficient Deep Belief Network Processor Based on Heterogeneous Multi-core Architecture with Transposable Memory and On-chip Learning.[J].IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS),2021,
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J. Wu,Y. Zhan,Z. Peng,X. Ji,G. Yu,R. Zhao.C. Wang.Efficient Design of Spiking Neural Network with STDP Learning Based on Fast CORDIC.[J].IEEE Trans. on Circuits and Systems-I Regular Papers (TCAS-I) 2021,2021,
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J. Wang,, Y. Zhan, Z. Wang, Z. Peng, J. Xu, B. Liu, G. Yu, F An, and X. Zou.C. Wang.A Reconfigurable Matrix Multiplication Coprocessor with High Area and Energy Efficiency for Visual Intelligent and Autonomous Mobile Robots.[C].IEEE Asian Solid State Circuit Conference (A-SSCC 2021),
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Y. Li,G. Hong, Z. Peng, J. Wang, J. Xu, G. Yu, C. Huang.C. Wang.An Energy-efficient Adaptive Exponential Integrate and Fire Neuron based on Novel Area-Efficient Fast CORDIC for Spiking Neural Networks.[C].IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA 2021),
