Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization. - Satoki Tsuji; Hiroshi Kawaguchi 001; Atsuki Inoue; Yasufumi Sakai; Fuyuka Yamada (ACML, 2021)

A High-Speed Neural Architecture Search Considering the Number of Weights. - Fuyuka Yamada; Satoki Tsuji; Hiroshi Kawaguchi 001; Atsuki Inoue; Yasufumi Sakai (KI, 2021)

Efficient GPU-Accelerated Bulk Evaluation of the Boys Function for Quantum Chemistry. - Satoki Tsuji; Yasuaki Ito; Koji Nakano; Akihiko Kasagi (candar, 2023)

GPU Acceleration of Head-Gordon-Pople Algorithm. - Kanta Suzuki; Yasuaki Ito; Haruto Fujii; Nobuya Yokogawa; Satoki Tsuji; Koji Nakano; Akihiko Kasagi (CANDAR, 2024)

Dynamic Screening of Two-Electron Repulsion Integrals in GPU Parallelization. - Satoki Tsuji; Yasuaki Ito; Haruto Fujii; Nobuya Yokogawa; Kanta Suzuki; Koji Nakano; Akihiko Kasagi (CANDARW, 2024)

Parallel GPU Computation of Nuclear Attraction Integrals in Quantum Chemistry. - Nobuya Yokogawa; Yasuaki Ito; Satoki Tsuji; Haruto Fujii; Kanta Suzuki; Koji Nakano; Akihiko Kasagi (CANDARW, 2024)

Introduction to Computational Quantum Chemistry for Computer Scientists. - Yasuaki Ito; Satoki Tsuji; Haruto Fujii; Kanta Suzuki; Nobuya Yokogawa; Koji Nakano; Akihiko Kasagi (IPDPS (Workshops), 2024)

A GPU Implementation of McMurchie-Davidson Algorithm for Two-Electron Repulsion Integral Computation. - Haruto Fujii; Yasuaki Ito; Nobuya Yokogawa; Kanta Suzuki; Satoki Tsuji; Koji Nakano; Akihiko Kasagi (PPAM (1), 2024)

GPU Acceleration of the Boys Function Evaluation in Computational Quantum Chemistry. - Satoki Tsuji; Yasuaki Ito; Koji Nakano; Akihiko Kasagi (Concurr. Comput. Pract. Exp., 2025)

Greedy search algorithm for partial quantization of convolutional neural networks inspired by submodular optimization. - Satoki Tsuji; Fuyuka Yamada; Hiroshi Kawaguchi 001; Atsuki Inoue; Yasufumi Sakai (Neural Comput. Appl., 2025)