Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning. - Shota Ohnishi; Eiji Uchibe; Yotaro Yamaguchi; Kosuke Nakanishi; Yuji Yasui; Shin Ishii (Frontiers Neurorobotics, 2019)

Backside Alpha-Irradiation Test in Flip-Chip Package in EUV 7 nm FinFET SRAM. - Taiki Uemura; Byungjin Chung; Jeongmin Jo; Hai Jiang 005; Yongsung Ji; Tae-Young Jeong; Rakesh Ranjan; Seungbae Lee; Hwasung Rhee; Sangwoo Pae; Euncheol Lee; Jaehee Choi; et al. (IRPS, 2020)

Investigating of SER in 28 nm FDSOI-Planar and Comparing with SER in Bulk-FinFET. - Taiki Uemura; Byungjin Chung; Jeongmin Jo; Hai Jiang 005; Yongsung Ji; Tae-Young Jeong; Rakesh Ranjan; Youngin Park; Kiil Hong; Seungbae Lee; Hwasung Rhee; Sangwoo Pae; et al. (IRPS, 2020)

Thermal-Neutron SER Mitigation by Cobalt-Contact in 7 nm Bulk-FinFET Technology. - Taiki Uemura; Byungjin Chung; Jegon Kim; Hyewon Shim; Shin-Young Chung; Brandon Lee; Jaehee Choi; Shota Ohnishi; Ken Machida (IRPS, 2022)

Accelerator-Based Thermal-Neutron Beam by Compact and Low-Cost Moderator for Soft-Error Evaluation in Semiconductor Devices. - Taiki Uemura; Byungjin Chung; Jegon Kim; Hyewon Shim; Shin-Young Chung; Brandon Lee; Jaehee Choi; Shota Ohnishi; Ken Machida (IRPS, 2022)

Hardware efficient decomposition of the Laplace operator and its application to the Helmholtz and the Poisson equation on quantum computer. - Jaehyun Bae; Gwangsu Yoo; Satoshi Nakamura; Shota Ohnishi; Dae Sin Kim (Quantum Inf. Process., 2024)