P. Ai

发表

Three-dimensional convolutional neural networks for neutrinoless double-beta decay signal/background discrimination in high-pressure gaseous Time Projection Chamber

Guangming Huang, Dong Wang, Pengcheng Ai, 2018, Journal of Instrumentation.

PulseDL: A reconfigurable deep learning array processor dedicated to pulse characterization for high energy physics detectors

Guangming Huang, P. Ai, Dong Wang, 2020 .

A deep learning approach to multi-track location and orientation in gaseous drift chambers

Guangming Huang, P. Ai, Dong Wang, 2020, 2005.09930.

PulseDL-II: A System-on-Chip Neural Network Accelerator for Timing and Energy Extraction of Nuclear Detector Signals

P. Ai, H. Gong, Yi Wang, 2022, IEEE Transactions on Nuclear Science.

Timing and characterization of shaped pulses with MHz ADCs in a detector system: a comparative study and deep learning approach

Fan Zhang, Guangming Huang, Dong Wang, 2019, Journal of Instrumentation.

FPGA implementation of neural network accelerator for pulse information extraction in high energy physics

P. Ai, N. Fang, Deli Xu, 2020, Nuclear Science and Techniques.

PulseDL-II: A System-on-Chip Neural Network Accelerator for Timing and Energy Extraction of Nuclear Detector Signals

P. Ai, H. Gong, Yi Wang, 2022, IEEE Transactions on Nuclear Science.

Universal uncertainty estimation for nuclear detector signals with neural networks and ensemble learning

P. Ai, Y. Wang, C. Shen, 2021, Journal of Instrumentation.

Neural network-featured timing systems for radiation detectors: performance evaluation based on bound analysis

Yi Wang, P. Ai, Y. Wang, 2021, Journal of Instrumentation.

FPGA implementation of neural network accelerator for pulse information extraction in high energy physics

Dong Wang, Qi Gong, Hui Wang, 2020 .

Label-free timing analysis of modularized nuclear detectors with physics-constrained deep learning

P. Ai, Xinchi Ran, Yulei Li, 2023, arXiv.org.