Daniel K. Park

33 papers A* 1B 1C 1Journal 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Neural quantum support vector data description for one-class classification. CoRR Changjae Im, Hyeondo Oh, Daniel K. Park
2026	J	`jnl`	Noise-adaptive hybrid quantum convolutional neural networks based on depth-stratified feature extraction. CoRR Taehyun Kim, Israel F. Araujo, Daniel K. Park
2026	J	`jnl`	Quantum-classical hybrid approach for codon optimization and its practical applications. Appl. Soft Comput. You Kyoung Chung, Dongkeun Lee, Junho Lee, Jaehee Kim, Daniel K. Park, Joonsuk Huh
2025	J	`jnl`	Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series. Knowl. Based Syst. Junggu Choi, Tak Hur, Daniel K. Park, Na-Young Shin, Seung-Koo Lee, Hakbae Lee, Sanghoon Han
2025	J	`jnl`	Hamiltonian formulations of centroid-based clustering. CoRR Myeonghwan Seong, Daniel K. Park
2025	J	`jnl`	Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling. CoRR Nayeli A. Rodríguez-Briones, Daniel K. Park
2025	J	`jnl`	Multi-channel convolutional neural quantum embedding. CoRR Yujin Kim, Changjae Im, Taehyun Kim, Tak Hur, Daniel K. Park
2025	J	`jnl`	Re-uploading quantum data: A universal function approximator for quantum inputs. CoRR Hyunho Cha, Daniel K. Park, Jungwoo Lee
2025	J	`jnl`	Scalable Neural Decoders for Practical Real-Time Quantum Error Correction. CoRR Changwon Lee, Tak Hur, Daniel K. Park
2025	A*	`conf`	Understanding Generalization in Quantum Machine Learning with Margins. ICML Tak Hur, Daniel K. Park
2024	J	`jnl`	Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series. CoRR Junggu Choi, Tak Hur, Daniel K. Park, Na-Young Shin, Seung-Koo Lee, Hakbae Lee, Sanghoon Han
2024	J	`jnl`	Expressivity of deterministic quantum computation with one qubit. CoRR Yujin Kim, Daniel K. Park
2024	J	`jnl`	Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension. CoRR Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Daniel K. Park
2024	J	`jnl`	Quantum support vector data description for anomaly detection. Mach. Learn. Sci. Technol. Hyeondo Oh, Daniel K. Park
2024	J	`jnl`	Quantum variational distance-based centroid classifier. Neurocomputing Nicolas M. de Oliveira, Daniel K. Park, Israel F. Araujo, Adenilton J. da Silva
2024	J	`jnl`	Schmidt quantum compressor. CoRR Israel F. Araujo, Hyeondo Oh, Nayeli A. Rodríguez-Briones, Daniel K. Park
2024	J	`jnl`	Understanding Generalization in Quantum Machine Learning with Margins. CoRR Tak Hur, Daniel K. Park
2023	J	`jnl`	Classical-to-quantum convolutional neural network transfer learning. Neurocomputing Juhyeon Kim, Joonsuk Huh, Daniel K. Park
2023	J	`jnl`	Configurable sublinear circuits for quantum state preparation. Quantum Inf. Process. Israel F. Araujo, Daniel K. Park, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Francesco Petruccione, Adenilton J. da Silva
2023	J	`jnl`	Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning. CoRR Tak Hur, Israel F. Araujo, Daniel K. Park
2023	J	`jnl`	Quantum-inspired algorithm for direct multi-class classification. Appl. Soft Comput. Roberto Giuntini, Federico Hernan Holik, Daniel K. Park, Hector Freytes, Carsten Blank, Giuseppe Sergioli
2023	J	`jnl`	Scalable quantum measurement error mitigation via conditional independence and transfer learning. Mach. Learn. Sci. Technol. Changwon Lee, Daniel K. Park
2023	J	`jnl`	Variational quantum one-class classifier. Mach. Learn. Sci. Technol. Gunhee Park, Joonsuk Huh, Daniel K. Park
2022	J	`jnl`	Architecture representations for quantum convolutional neural networks. CoRR Matt Lourens, Ilya Sinayskiy, Daniel K. Park, Carsten Blank, Francesco Petruccione
2022	J	`jnl`	Classical-to-quantum convolutional neural network transfer learning. CoRR Juhyeon Kim, Joonsuk Huh, Daniel K. Park
2022	J	`jnl`	Linear-depth quantum circuits for multi-qubit controlled gates. CoRR Adenilton J. da Silva, Daniel K. Park
2022	J	`jnl`	Quantum convolutional neural network for classical data classification. Quantum Mach. Intell. Tak Hur, Leeseok Kim, Daniel K. Park
2022	J	`jnl`	Variational Quantum Approximate Support Vector Machine With Inference Transfer. CoRR Siheon Park, Daniel K. Park, June-Koo Kevin Rhee
2021	J	`jnl`	Circuit-Based Quantum Random Access Memory for Classical Data With Continuous Amplitudes. IEEE Trans. Computers Tiago M. L. de Veras, Ismael C. S. de Araujo, Daniel K. Park, Adenilton J. da Silva
2021	J	`jnl`	Configurable sublinear circuits for quantum state preparation. CoRR Israel F. Araujo, Daniel K. Park, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Francesco Petruccione, Adenilton J. da Silva
2021	B	`conf`	Robust quantum classifier with minimal overhead. IJCNN Daniel K. Park, Carsten Blank, Francesco Petruccione
2020	J	`jnl`	Circuit-based quantum random access memory for classical data with continuous amplitudes. CoRR Tiago M. L. de Veras, Ismael C. S. de Araujo, Daniel K. Park, Adenilton J. da Silva
2006	C	`conf`	Toward a General Framework for Microarray Data Comparison. CIT Daniel K. Park, Xiong Wang