Publications

Shih-Chieh Hsu, TaWeiHo (2020). Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks.

PDF Custom Link

Shih-Chieh Hsu, Natchanon Suaysom (2020). Parameter Estimation using Neural Networks in the Presence of Detector Effects.

PDF Custom Link

Shih-Chieh Hsu, Scott Hauck, MatthewTrahms, KelvinLin, YuLou, TaWeiHo (2020). FPGAs-as-a-Service Toolkit (FaaST).

PDF Project Project Custom Link

Shih-Chieh Hsu, Yi-Lun Chung (2020). Disentangling Boosted Higgs Boson Production Modes with Machine Learning.

PDF Custom Link

Shih-Chieh Hsu, Scott Hauck, MatthewTrahms, KelvinLin, Natchanon Suaysom (2020). GPU coprocessors as a service for deep learning inference in high energy physics.

PDF Project Project Custom Link

Shih-Chieh Hsu (2020). Detecting and studying high-energy collider neutrinos with FASER at the LHC. EPJC.

PDF Project DOI

Shih-Chieh Hsu, Nikola Whallon (2020). Dark Matter Benchmark Models for Early LHC Run 2 Searches Report of the ATLAS/CMS Dark Matter Forum. PDU.

Shih-Chieh Hsu, Scott Hauck, DustinWerran, Matthew Trahms (2019). FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing. CSBS.

PDF Project DOI

Shih-Chieh Hsu, Ke Li (2019). FASER’s physics reach for long-lived particles. PRD.

PDF Project DOI

Shih-Chieh Hsu, Scott Hauck, Lynn (Marx) Bergmann, JoyMayer, ShaoPinChen (2018). Production and Integration of the ATLAS Insertable B-Layer. JINST.

Shih-Chieh Hsu, Samuel Meehan, Nikola Whallon (2017). Search for Dark Matter Produced in Association with a Higgs Boson Decaying to $b\bar b$ using 36 fb$^{-1}$ of $pp$ collisions at $\sqrt s=13$ TeV with the ATLAS Detector. PRL.

PDF Project DOI

Shih-Chieh Hsu (2016). Jet Flavor Classification in High-Energy Physics with Deep Neural Networks. PRD.