Shaolin Ran

According to our database, Shaolin Ran authored at least 5 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Software-hardware co-design for accelerating large-scale graph convolutional network inference on FPGA.

Shaolin Ran, Beizhen Zhao, Xing Dai, Cheng Cheng, Yong Zhang

Neurocomputing, May, 2023

Diagnosis of arrhythmias with few abnormal ECG samples using metric-based meta learning.

Zhenxing Liu, Yujie Chen, Yong Zhang, Shaolin Ran, Cheng Cheng, Guili Yang

Comput. Biol. Medicine, February, 2023

Label correlation embedding guided network for multi-label ECG arrhythmia diagnosis.

Shaolin Ran, Xiang Li, Beizhen Zhao, Yinuo Jiang, Xiaoyun Yang, Cheng Cheng

Knowl. Based Syst., 2023

2022

Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices.

Shaolin Ran, Xiaoyun Yang, Ming Liu, Yong Zhang, Cheng Cheng, Hongling Zhu, Ye Yuan

IEEE Trans. Instrum. Meas., 2022

Prediction of gas concentration evolution with evolutionary attention-based temporal graph convolutional network.

Lei Cheng, Li Li, Sai Li, Shaolin Ran, Ze Zhang, Yong Zhang

Expert Syst. Appl., 2022