Yujie Wu

Orcid: 0000-0003-2018-9990

Affiliations:

Tsinghua University, Center for Brain Inspired Computing Research, Beijing, China
Tsinghua University, Department of Precision Instrument, Beijing, China

According to our database¹, Yujie Wu authored at least 18 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Brain-inspired multimodal hybrid neural network for robot place recognition.

[BibT_eX]

[DOI]

Sci. Robotics, 2023

2022

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.

[BibT_eX]

[DOI]

Sci. Robotics, 2022

2021

Advancing Residual Learning towards Powerful Deep Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Going Deeper With Directly-Trained Larger Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.

[BibT_eX]

[DOI]

Neural Networks, 2020

Rethinking the performance comparison between SNNS and ANNS.

[BibT_eX]

[DOI]

Neural Networks, 2020

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.

[BibT_eX]

[DOI]

IEEE J. Solid State Circuits, 2020

Brain-inspired global-local hybrid learning towards human-like intelligence.

[BibT_eX]

[DOI]

CoRR, 2020

ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks.

[BibT_eX]

[DOI]

Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

2019

DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking.

[BibT_eX]

[DOI]

CoRR, 2019

Direct Training for Spiking Neural Networks: Faster, Larger, Better.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Direct Training for Spiking Neural Networks: Faster, Larger, Better.

[BibT_eX]

[DOI]

CoRR, 2018

Research on Pricing and Coordination Strategy of a Sustainable Green Supply Chain with a Capital-Constrained Retailer.

[BibT_eX]

[DOI]

Complex., 2018

2017

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Yujie Wu

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...