Tengxiao Wang

Orcid: 0009-0005-8335-0712

According to our database1, Tengxiao Wang authored at least 16 papers between 2020 and 2025.

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

Timeline

2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
MorphBungee-Lite: An Edge Neuromorphic Architecture With Balanced Cross-Core Workloads Based on Layer-Wise Event-Batch Learning/Inference.
IEEE Trans. Circuits Syst. II Express Briefs, January, 2025

2024
A Novel Multiple-Input Multiple-Output OCDM Transmission System Based on Index Modulation.
Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024

2023
Modeling the Global Relationship via the Point Cloud Transformer for the Terrain Filtering of Airborne LiDAR Data.
Remote. Sens., December, 2023

An Edge Neuromorphic Hardware With Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023

MorphBungee: A 65nm 7.2mm<sup>2</sup> 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 Frame/s Multi-Layer Spiking Neural Network Learning.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
A Low-Cost FPGA Implementation of Spiking Extreme Learning Machine With On-Chip Reward-Modulated STDP Learning.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity.
IEEE Trans. Biomed. Circuits Syst., 2022

TEDOP: A Tiny Event-Driven Neural Network Hardware Core Enabling On-Chip Spike-Driven Synaptic Plasticity.
Proceedings of the 2022 IEEE International Conference on Integrated Circuits, 2022

MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021
DeepTempo: A Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features.
Neurocomputing, 2021

A Heterogeneous Spiking Neural Network for Computationally Efficient Face Recognition.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

Training Mechanism Reform of "Programming +" Higher Engineering Education.
Proceedings of the Cyber Security Intelligence and Analytics, 2021

2020
A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification.
Sensors, 2020


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