Dongha Kim
Orcid: 0000-0001-7660-9646
According to our database1,
Dongha Kim
authored at least 29 papers
between 2018 and 2025.
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Collaborative distances:
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Bibliography
2025
SynC2S: An Efficient Method for Synthesizing Tabular Data With a Learnable Pre-Processing.
IEEE Access, 2025
2024
Enhanced Wi-Fi Access Point Positioning Using Hexagonal CNN With Mobile Data and Urban Information.
IEEE Internet Things J., October, 2024
A 4-nm 1.15 TB/s HBM3 Interface With Resistor-Tuned Offset Calibration and In Situ Margin Detection.
IEEE J. Solid State Circuits, January, 2024
A Case Study of API Design for Interoperability and Security of the Internet of Things.
CoRR, 2024
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect.
CoRR, 2024
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
SoftwareX, May, 2023
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models.
J. Mach. Learn. Res., 2023
DSAC: Low-Cost Rowhammer Mitigation Using In-DRAM Stochastic and Approximate Counting Algorithm.
CoRR, 2023
ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models.
CoRR, 2023
An Efficient Multi-Scale Feature Compression With QP-Adaptive Feature Channel Truncation for Video Coding for Machines.
IEEE Access, 2023
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023
A 4nm 1.15TB/s HBM3 Interface with Resistor-Tuned Offset-Calibration and In-Situ Margin-Detection.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023
2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE 40th International Conference on Computer Design, 2022
2021
Neural Networks, 2021
INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks.
CoRR, 2021
Understanding Effects of Architecture Design to Invariance and Complexity in Deep Neural Networks.
IEEE Access, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
On casting importance weighted autoencoder to an EM algorithm to learn deep generative models.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Can search engine data improve accuracy of demand forecasting for new products? Evidence from automotive market.
Ind. Manag. Data Syst., 2019
2018