Siqi Wang

Orcid: 0000-0001-7246-5235

Affiliations:
  • Sorbonne University, CNRS, Lab de Génie Electrique et Electronique de Paris, France
  • Chalmers University of Technology, Gothenburg, Sweden (2019-2021)
  • Université Paris-Saclay, CentraleSupélec, CNRS, Gif-sur-Yvette, France (2018-2019)
  • University of Paris-Est Marne-La-Vallée, Champs-sur-Marne, France (PhD 2018)


According to our database1, Siqi Wang authored at least 20 papers between 2016 and 2025.

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

Timeline

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Bibliography

2025
Noise-Optimized Neuromorphic Spiking Radio in Context-Aware IoT.
IEEE Des. Test, August, 2025

Reliable Modeling of RF Mixers in I/Q Modulators: Experimental Validation and Parameter Extraction.
IEEE Trans. Commun., January, 2025

Out-of-Band Digital Predistortion in Joint Communication-Computation Networks for Transmission Standards.
Proceedings of the 23rd IEEE Interregional NEWCAS Conference, 2025

Blind Digital Post-Distortion Technique for Nonlinear Receiver.
Proceedings of the 23rd IEEE Interregional NEWCAS Conference, 2025

Design Framework for Energy-Efficient Analog Neural Network Using Multilayer Perceptron Models.
Proceedings of the 23rd IEEE Interregional NEWCAS Conference, 2025

2024
Power Consumption Estimation of Digital Predistortion based on Spiking Neural Networks.
Proceedings of the 22nd IEEE Interregional NEWCAS Conference, 2024

The Influence of Temporal Dependency on Training Algorithms for Spiking Neural Networks.
Proceedings of the International Wireless Communications and Mobile Computing, 2024

A Comparative Study of Supervised Learning Algorithms for Spiking Neural Networks.
Proceedings of the 7th International Conference on Advanced Communication Technologies and Networking, 2024

2023
Physics Informed Spiking Neural Networks: Application to Digital Predistortion for Power Amplifier Linearization.
IEEE Access, 2023

Jitter Noise Impact on Analog Spiking Neural Networks: STDP Limitations.
Proceedings of the 36th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, 2023

Study of Spiking Neural Network-Based Regressor on Applications in Digital Predistortion for Power Amplifiers.
Proceedings of the 6th International Conference on Advanced Communication Technologies and Networking, 2023

2022
1.2 nW Neuromorphic Enhanced Wake-Up Radio.
Proceedings of the 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, 2022

Sub-nJ per Decision Schmitt Trigger Comparator for Neuromorphic Spike Detection in 55 nm Technology.
Proceedings of the 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2022

Smart IoT - Implementation of Neuromorphic Circuits.
Proceedings of the 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2022

Behavioral Modeling of Nonlinear Power Amplifiers Using Spiking Neural Networks.
Proceedings of the 20th IEEE Interregional NEWCAS Conference, 2022

2019
Impacts of Crest Factor Reduction and Digital Predistortion on Linearity and Power Efficiency of Power Amplifiers.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Optimization of a pruned 2-D Digital Predistortion Model Structure for Power Amplifiers Linearization.
Proceedings of the 17th IEEE International New Circuits and Systems Conference, 2019

2018
A Novel Algorithm for Determining the Structure of Digital Predistortion Models.
IEEE Trans. Veh. Technol., 2018

2017
Performance analysis of multi-stage cascaded digital predistortion.
Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017

2016
Comparison of hill-climbing and genetic algorithms for digital predistortion models sizing.
Proceedings of the 2016 IEEE International Conference on Electronics, Circuits and Systems, 2016


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