Tengxiao Wang
According to our database1,
Tengxiao Wang
authored at least 14 papers
between 2020 and 2023.
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Bibliography
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
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