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王超
个人信息Personal Information
研究员（自然科学）
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. Peng, J. Wang,, Y. Zhan, R. Min, G. Yu, J. Luo, K. Chong.C. Wang.A High-Accuracy and Energy-Efficient CORDIC Based Izhikevich Neuron.[C].19th IEEE Interregional NEWCAS Conference (NEWCAS 2021),2021,
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Jiajun Wu,X. Huang, L. Yang, L. Wang, J. Wang, Z. Liu, K. S. Chong, S. W. Lin.C. Wang.An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity.[C].IEEE Asian Solid State Circuit Conference (A-SSCC 2020),2020,
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J. Xu, Y. Zhan, Z. Wang, G. Yu, Y. Li,C. Wang.A Novel Variation-aware Error Monitoring Scheme for Memristor-based Material Implication Logic.[C].IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA 2020),
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Y. Zhan, A. Hu, Z. Lu, G. Yu, and,C. Wang.An Ultra-low Power Relaxation Oscillator with Novel Ultra-low Leakage Switch and Temperature-compensated Resistor.[C].IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA 2020),2020,
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Y. Zhan,G. Yu, J. Xu, J. Li.C. Wang.Ultra-Low Power Relaxation Oscillator Based on Negative Capacitance Ferroelectric Field-Effect Transistor.[C].IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA 2019),2019,
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Y. Wei, J. Zhou, Y. Wang, Y. Liu, Q. Liu, J. Luo, C. Wang, F. Ren,L. Huang.A Review of Algorithm & Hardware Design for AI-Based Biomedical Applications.IEEE Trans. on Biomedical Circuits and Systems (TBioCAS) 2020,(2):145-163
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X. Ji,C. Wang, K. G. Lim, C. C. Tan, T. C. Chong,R. Zhao.Tunable Resistive Switching Enabled by Malleable Redox Reaction in the Nano-Vacuum Gap.[J].ACS Applied Materials & Interfaces (ACS AMI) 2019,(23):20965
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L. Song, S. Zhong, Y. Jiang, K. G. Lim, C. Wang,R. Zhao.Biodegradable and Flexible Resistive Memory for Transient Electronics.[J].Journal of Physical Chemistry C (JPCC), ACS 2018,(29):16909–16915
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C. Wang, J. Luo,J. Zhou.A 1-V to 0.29-V sub-100-pJ/operation Ultra-Low Power Fast-Convergence CORDIC Processor in 0.18-µm CMOS.Microelectronics Journal (MEJ), Elsevier 2018,52-62
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N. Xue, C. Wang*, C. Liu,J. Sun.Highly Integrated MEMS-ASIC Sensing System for Intracorporeal Physiological Condition Monitoring.Sensors 2018,2018,(107):
