| 2025 | CCGRID | Diverse, Stable, and Efficient All-Atom Structure Sampling Based on Parallelized Coarse-Grained Elastic Network Model. | Shingo Okuno, Yuta Yoshimoto, Nana Takeda, Yusuke Nagasaka, Ryo Kanada, Atsushi Tokuhisa, Yasushi Okuno |
| 2022 | CCGRID | Efficient Collision-Free MTTKRP Algorithm for Multi-core CPUs with Less Memory Usage. | Yusuke Nagasaka, Naoto Fukumoto |
| 2021 | PDP | Low-Latency Low-Energy Memory-Cube Networks using Dual-Voltage Datapaths. | Yoshiya Shikama, Ryuta Kawano, Hiroki Matsutani, Hideharu Amano, Yusuke Nagasaka, Naoto Fukumoto, Michihiro Koibuchi |
| 2019 | CCGRID | Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. | Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka |
| 2017 | ICPP | High-Performance and Memory-Saving Sparse General Matrix-Matrix Multiplication for NVIDIA Pascal GPU. | Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka |
| 2016 | ICCS | Adaptive Multi-level Blocking Optimization for Sparse Matrix Vector Multiplication on GPU. | Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka |
| 2014 | ICPADS | Cache-aware sparse matrix formats for Kepler GPU. | Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka |