Shuqin Geng

Orcid: 0000-0002-3393-1835

Affiliations:
  • Beijing University of Technology, China


According to our database1, Shuqin Geng authored at least 11 papers between 2009 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Probabilistic Analysis for Sequential Circuits Verification Using Markov Chains.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A High Efficiency Re-configurable Step-down Switched Capacitor DC-DC Converter for Medical Implants Application.
Proceedings of the 14th IEEE International Conference on ASIC, 2021

2020
Analysis and Computational Methods for a Reader Solenoid Coil Used in Industrial Environments.
IEEE Trans. Ind. Electron., 2020

The Design Of UVM Verification Platform Based On Data Comparison.
Proceedings of the EITCE 2020: 4th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, 6 November, 2020, 2020

2015
The design of face recognition system based on ARM9 embedded platform.
Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

A fast vector reuse verification method for standard cell library.
Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

A thermal-aware distribution method of TSV in 3D IC.
Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

2010
Application of PSO-Adaptive Neural-fuzzy Inference System (ANFIS) in Analog Circuit Fault Diagnosis.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

2009
Fault Diagnosis of Analog IC Based on Wavelet Neural Network Ensemble.
Proceedings of the Advances in Neural Networks, 2009

Estimation for Speed and Leakage Power of Dual Threshold Domino OR Based on Wavelet Neural Networks.
Proceedings of the Advances in Neural Networks, 2009

Switching and leakage power modeling for multiple-supply dynamic gate with delay constraining based on wavelet neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2009


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