Zeyu Liu

Affiliations:

Universiy of Southern California, Los Angeles, CA, USA

According to our database¹, Zeyu Liu authored at least 10 papers between 2022 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models.

[BibT_eX]

[DOI]

CoRR, 2024

LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units.

[BibT_eX]

[DOI]

CoRR, 2024

2023

When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Spiking Neural Networks with Dynamic Time Steps for Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Enabling ISPless Low-Power Computer Vision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision.

[BibT_eX]

[DOI]

Gourav Datta

Zeyu Liu

Md. Abdullah-Al Kaiser

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Hoyer regularizer is all you need for ultra low-latency spiking neural networks.

[BibT_eX]

[DOI]

Gourav Datta

Zeyu Liu

Peter A. Beerel

CoRR, 2022

Enabling ISP-less Low-Power Computer Vision.

[BibT_eX]

[DOI]

CoRR, 2022

P<sup>2</sup>M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking.

[BibT_eX]

[DOI]

Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022

Zeyu Liu

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