Linghao Song — accepted AI-conference papers

2022

PYXIS: An Open-Source Performance Dataset Of Sparse Accelerators

ICASSP 2022accepted

Customized accelerators provide gains of performance and efficiency in specific domains of applications. Sparse data structures and/or representations exist in a wide range of applications. However, it is challenging to design accelerators for sparse applications because no architecture or performan…

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2019

Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data

Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok

ICASSP 2019accepted

We present a deep learning approach for vertex reconstruction of neutrino-nucleus interaction events, a problem in the domain of high energy physics. In this approach, we combine both energy and timing data that are collected in the MIN-ERvA detector to perform classification and regression tasks. W…

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