Qingyuan Wang

According to our database, Qingyuan Wang authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Tiny Models are the Computational Saver for Large Models.

Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John

CoRR, 2024

DyCE: Dynamic Configurable Exiting for Deep Learning Compression and Scaling.

Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John

CoRR, 2024

2023

P-ROCKET: Pruning Random Convolution Kernels for Time Series Classification.

Shaowu Chen, Weize Sun, Lei Huang, Xiaopeng Li, Qingyuan Wang, Deepu John

CoRR, 2023

Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis.

Guoxin Wang, Qingyuan Wang, Ganesh Neelakanta Iyer, Avishek Nag, Deepu John

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022

Binary ECG Classification Using Explainable Boosting Machines for IoT Edge Devices.

Li Xiaolin, Qingyuan Wang, Rajesh C. Panicker, Barry Cardiff, Deepu John

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Complexity Reduction of CNNs using Multi-Scale Group Convolution for IoT Edge Sensors.

Qingyuan Wang, Antoine Frappé, Benoit Larras, Barry Cardiff, Deepu John

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

2021

Evaluation of Level-Crossing ADCs for Event-Driven ECG Classification.

Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John

IEEE Trans. Biomed. Circuits Syst., 2021

Event-Driven ECG Classification Using an Open-Source, LC-ADC Based Non-Uniformly Sampled Dataset.

Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021