Yuhuang Hu

Orcid: 0000-0002-5543-7619

According to our database1, Yuhuang Hu authored at least 20 papers between 2016 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
End-to-End Prediction of Sodium Concentration from Uncalibrated Sodium ISFETs.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022
Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Exploiting Spatial Sparsity for Event Cameras with Visual Transformers.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Dataset for Reproduce "v2e: From Video Frames to Realistic DVS Events".
Dataset, July, 2021

v2e: From Video Frames to Realistic DVS Events.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Siamese Networks for Few-Shot Learning on Edge Embedded Devices.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

V2E: From video frames to realistic DVS event camera streams.
CoRR, 2020

Exploiting Event Cameras by Using a Network Grafting Algorithm.
CoRR, 2020

DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Learning to Exploit Multiple Vision Modalities by Using Grafted Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Prediction of Gas Concentration Using Gated Recurrent Neural Networks.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

Multi-Resolution Siamese Networks for One-Shot Learning.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

Character-Level Translation with Self-attention.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Incremental Learning Meets Reduced Precision Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Slasher: Stadium racer car for event camera end-to-end learning autonomous driving experiments.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018
wubi2en: Character-level Chinese-English Translation through ASCII Encoding.
CoRR, 2018

Overcoming the vanishing gradient problem in plain recurrent networks.
CoRR, 2018

Character-level Chinese-English Translation through ASCII Encoding.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

2016
Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks.
CoRR, 2016


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