Enrollment Date : 2015
Anticipated Graduation Date：2020
Type of Candidate：Ph.D. Candidate
Advisors：Zhihua Wang Hanjun Jiang
Department：Institute of Microelectronics，Tsinghua University
Research Area：
[1] Syed Muhammad Abubakar, Yue Yin, Songyao Tan, Hanjun Jiang, Zhihua Wang, A 746 nW ECG Processor ASIC Based on Ternary Neural Network, IEEE Transactions on Biomedical Circuits and Systems, Vol.16, No.4, pp.703-713, 2022.
[2] Syed Muhammad Abubakar, Hanjun Jiang, Yue Yin, Jiahua Shi, Xiaofeng Yang, Wen Jia, Zhihua Wang, A 1.92 μA Always-on ECG Monitoring Mixed-Signal SoC for Implantable Medical Application, ISOCC 2022, pp.155-156, 2022.
[3] Wendi Yang,Hanjun Jiang,Yue Yin,Zhihua Wang, A 4-μW Analog Front End Achieving 2.4 NEF for Long-Term ECG Monitoring, IEEE Transactions on Biomedical Circuits and Systems, Vol.15, No.4, pp.655-665, 2021.
[4] Yue Yin,Syed Muhammad Abubakar,Songyao Tan,Jiahua Shi,Peilin Yang,Wendi Yang,Hanjun Jiang,Zhihua Wang,Wen Jia, Seng-Pan U, A 2.63 μW ECG Processor With Adaptive Arrhythmia Detection and Data Compression for Implantable Cardiac Monitoring Device, IEEE Transactions on Biomedical Circuits and Systems, Vol.15, No.4, pp.777-790, 2021.
[5] Ning Pu,Kang Zhao,Abubakar, S.M,Yue Yin,Hanjun Jiang,Xiaofeng Yang,Zhihua Wang, An Energy-Efficient Binarized Neural Network Using Analog-Intensive Feature Extraction for Keyword and Speaker Verification Wakeup, ISCAS 2021, pp.1-5, 2021.
[6] Syed Muhammad Abubakar,Yue Yin,Songyao Tan,Hanjun Jiang,Zhihua Wang,Seng-Pan U,Wen Jia, A 2.52 μA Wearable Single Lead Ternary Neural Network Based Cardiac Arrhythmia Detection Processor, ISCAS 2021, pp.1-5, 2021.
[7] Yue Yin,Songyao Tan,Peilin Yang,Hanjun Jiang,Zhihua Wang, A customized low static leakage near/sub-threshold standard cell library using thick-gate transistors, ICTA 2020, pp.75-76, 2020.
[8] Songyao Tan,Yue Yin,Hanjun Jiang,Zhihua Wang, A 0.7-V Clock-gating Cell with Power Gating Technology and 1.56-pA Sleep Power, ICTA 2020, pp.77-78, 2020.
[9] Yue Yin,Abubakar, S.M,Songyao Tan,Hanjun Jiang,Zhihua Wang,Seng-Pan U,Wen Jia, A 17.7-pJ/Cycle ECG Processor for Arrhythmia Detection with High Immunity to Power Line Interference and Baseline Drift, A-SSCC 2020, pp.1-4, 2020.
[10] Yue Yin,Hanjun Jiang,Shulin Feng,Juzheng Liu,Ping Chen,Binjie Zhu,Zhihua Wang, Bowel sound recognition using SVM classification in a wearable health monitoring system, Science China (Information Sciences), Vol.61, No.8, pp. 084301:1–084301:3, 2018.
[11] Yue Yin,Hanjun Jiang,Wendi Yang,Zhihua Wang, Intestinal motility assessment based on Legendre fitting of logarithmic bowel sound spectrum, Electronics Letters, Vol.52, No.16, pp. 1364 - 1366, 2016.
[12] Yue Yin,Wendi Yang,Hanjun Jiang,Zhihua Wang, Bowel sound based digestion state recognition using artificial neural network, BioCAS 2015, pp. 1 - 4, 2015.
[1] Syed Muhammad Abubakar, Hanjun Jiang, Yue Yin, Zhihua Wang, Chun Zhang. Electrocardiosignal classification method and device: China, 202110679932.3[P]. 2022-05-31.
[2] Yue Yin, Hanjun Jiang, Zhihua Wang, Wen Jia. Electrocardiosignal processing method and device: China, 202010415291.6[P].
[3] Hanjun Jiang, Yue Yin, Zhihua Wang, Chun Zhang. Design method of fully-customized low-leakage digital circuit standard unit: China, 202010301436.X[P]. 2022-12-27.
[4] Yue Yin, Hanjun Jiang, Wendi Yang, Chun Zhang, Zhihua Wang. A signal processing method for bowel sounds signal monitoring system: China, 201610371549.0[P]. 2018-10-23.