Baoting Li

Orcid: 0009-0008-4807-3731

According to our database1, Baoting Li authored at least 9 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DQ-STP: An Efficient Sparse On-Device Training Processor Based on Low-Rank Decomposition and Quantization for DNN.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

2023
A new segment method for pulmonary artery and vein.
Health Inf. Sci. Syst., December, 2023

ACBN: Approximate Calculated Batch Normalization for Efficient DNN On-Device Training Processor.
IEEE Trans. Very Large Scale Integr. Syst., June, 2023

A Fine-Grained Verification Method for Blockchain Data Based on Merkle Path Sharding.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Multi-region Quality Assessment Based on Spatial-Temporal Community Detection from Computed Tomography Images.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2021
Dynamic Dataflow Scheduling and Computation Mapping Techniques for Efficient Depthwise Separable Convolution Acceleration.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

2020
Designing Efficient Shortcut Architecture for Improving the Accuracy of Fully Quantized Neural Networks Accelerator.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

Exploiting Variable Precision Computation Array for Scalable Neural Network Accelerators.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2018
Exploring Resource-Aware Deep Neural Network Accelerator and Architecture Design.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018


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