Yongxiang Cao

Orcid: 0009-0000-2020-5116

According to our database1, Yongxiang Cao authored at least 13 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LSAF: A load-balancing SpGEMM acceleration framework with dynamic package and static partition for multi-core systolic arrays.
Parallel Comput., 2026

HCTA: A heterogeneous conv-transformer networks accelerator overcoming nonlinear operator bottlenecks.
Neurocomputing, 2026

2025
Lake depth inversion based on UAV and Sentinel-2 data.
Earth Sci. Informatics, January, 2025

HMSA: High-Performance Heterogeneous Mixed-Precision CNN Systolic Array Accelerator on FPGA.
ACM Trans. Embed. Comput. Syst., 2025

SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

SparDR: Accelerating Unstructured Sparse DNN Inference via Dataflow Optimization.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024
Analysis of the temporal and spatial changes of ecological environment quality using the optimization remote sensing ecological index in the middle Yellow River Basin, China.
Earth Sci. Informatics, December, 2024

SAM-Lightening: A Lightweight Segment Anything Model with Dilated Flash Attention to Achieve 30 times Acceleration.
CoRR, 2024

Compression Format and Systolic Array Structure Co-design for Accelerating Sparse Matrix Multiplication in DNNs.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

Highly Efficient Load-Balanced Dataflow for SpGEMMs on Systolic Arrays.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023
LOCP: Latency-optimized channel pruning for CNN inference acceleration on GPUs.
J. Supercomput., September, 2023

2022
An Efficient Sparse CNNs Accelerator on FPGA.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

Design and Realization of Electric Power Data Remote Acquisition System.
Proceedings of the 4th International Conference on Artificial Intelligence and Advanced Manufacturing, 2022


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