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Duckgyu Shin
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 12
Top Topics
Combinatorial Optimization
Fpga Implementation
Simulated Annealing
Monte Carlo
Top Venues
ICECS
CoRR
FLAP
IEEE Access
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Publications
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Naoya Onizawa
,
Ryoma Sasaki
,
Duckgyu Shin
,
Warren J. Gross
,
Takahiro Hanyu
Stochastic Simulated Quantum Annealing for Fast Solution of Combinatorial Optimization Problems.
IEEE Access
12 (2024)
Naoya Onizawa
,
Ryoma Sasaki
,
Duckgyu Shin
,
Warren J. Gross
,
Takahiro Hanyu
Stochastic Quantum Monte Carlo Algorithm for Large-Scale Combinatorial Optimization Problems.
CoRR
(2023)
Ryoma Sasaki
,
Duckgyu Shin
,
Naoya Onizawa
,
Takahiro Hanyu
Improving Stochastic Quantum-Like Annealing Based on Rerandomization.
ICECS
(2023)
Naoya Onizawa
,
Kyo Kuroki
,
Duckgyu Shin
,
Takahiro Hanyu
Local Energy Distribution Based Hyperparameter Determination for Stochastic Simulated Annealing.
CoRR
(2023)
Taiga Kubuta
,
Duckgyu Shin
,
Naoya Onizawa
,
Takahiro Hanyu
Stochastic Implementation of Simulated Quantum Annealing on PYNQ.
ICFPT
(2023)
Naoya Onizawa
,
Kota Katsuki
,
Duckgyu Shin
,
Warren J. Gross
,
Takahiro Hanyu
Fast-Converging Simulated Annealing for Ising Models Based on Integral Stochastic Computing.
IEEE Trans. Neural Networks Learn. Syst.
34 (12) (2023)
Duckgyu Shin
,
Naoya Onizawa
,
Warren J. Gross
,
Takahiro Hanyu
Memory-Efficient FPGA Implementation of Stochastic Simulated Annealing.
IEEE J. Emerg. Sel. Topics Circuits Syst.
13 (1) (2023)
Duckgyu Shin
,
Naoya Onizawa
,
Takahiro Hanyu
Implementation of CMOS Invertible Logic on Zynq-SoC Platform: A Case Study of Training BNN.
FLAP
9 (3) (2022)
Kota Katsuki
,
Duckgyu Shin
,
Naoya Onizawa
,
Takahiro Hanyu
Fast Solving Complete 2000-Node Optimization Using Stochastic-Computing Simulated Annealing.
ICECS 2022
(2022)
Duckgyu Shin
,
Naoya Onizawa
,
Warren J. Gross
,
Takahiro Hanyu
Training Hardware for Binarized Convolutional Neural Network Based on CMOS Invertible Logic.
IEEE Access
8 (2020)
Naoya Onizawa
,
Duckgyu Shin
,
Takahiro Hanyu
Fast Hardware-based Learning Algorithm for Binarized Perceptrons using CMOS Invertible Logic.
FLAP
7 (1) (2020)
Duckgyu Shin
,
Naoya Onizawa
,
Takahiro Hanyu
FPGA Implementation of Binarized Perceptron Learning Hardware Using CMOS Invertible Logic.
ICECS
(2019)