Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression. - Zhongtian Dong; Kyoungchul Kong; Konstantin T. Matchev; Katia Matcheva (CoRR, 2022)

Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing. - Zhongtian Dong; Nan Li; Alexandros Iosifidis; Qi Zhang 013 (CoRR, 2022)

Z2 × Z2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. - Zhongtian Dong; Marçal Comajoan Cara; Gopal Ramesh Dahale; Roy T. Forestano; Sergei Gleyzer; Daniel Justice; Kyoungchul Kong; Tom Magorsch; Konstantin T. Matchev; Katia Matcheva; Eyup B. Unlu (CoRR, 2023)

ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. - Zhongtian Dong; Marçal Comajoan Cara; Gopal Ramesh Dahale; Roy T. Forestano; Sergei Gleyzer; Daniel Justice; Kyoungchul Kong; Tom Magorsch; Konstantin T. Matchev; Katia Matcheva; Eyup B. Unlu (Axioms, 2024)

A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks. - Roy T. Forestano; Marçal Comajoan Cara; Gopal Ramesh Dahale; Zhongtian Dong; Sergei Gleyzer; Daniel Justice; Kyoungchul Kong; Tom Magorsch; Konstantin T. Matchev; Katia Matcheva; Eyup B. Unlu (Axioms, 2024)

Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics. - Eyup B. Unlu; Marçal Comajoan Cara; Gopal Ramesh Dahale; Zhongtian Dong; Roy T. Forestano; Sergei Gleyzer; Daniel Justice; Kyoungchul Kong; Tom Magorsch; Konstantin T. Matchev; Katia Matcheva (Axioms, 2024)

Quantum Vision Transformers for Quark-Gluon Classification. - Marçal Comajoan Cara; Gopal Ramesh Dahale; Zhongtian Dong; Roy T. Forestano; Sergei Gleyzer; Daniel Justice; Kyoungchul Kong; Tom Magorsch; Konstantin T. Matchev; Katia Matcheva; Eyup B. Unlu (Axioms, 2024)