Dongha Kim

Orcid: 0000-0001-7660-9646

According to our database1, Dongha Kim authored at least 29 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
2025
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5
10
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5
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1
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

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

Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot.
CoRR, 2024

Illustrious: an Open Advanced Illustration Model.
CoRR, 2024

ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect.
CoRR, 2024

META-ANOVA: Screening interactions for interpretable machine learning.
CoRR, 2024

Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension.
CoRR, 2024

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models.
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
SST v1.0.0 with C API: Pluggable security solution for the Internet of Things.
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

Poster Abstract: Securing Edge-Based Real-Time IoT Systems.
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

Reliable Event Detection Using Time-Synchronized IoT Platforms.
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

2022
Learning fair representation with a parametric integral probability metric.
Proceedings of the International Conference on Machine Learning, 2022

Energy-Efficient Bus Encoding Techniques for Next-Generation PAM-4 DRAM Interfaces.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021
Fast convergence rates of deep neural networks for classification.
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

Kernel-convoluted Deep Neural Networks with Data Augmentation.
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

Understanding and Improving Virtual Adversarial Training.
CoRR, 2019

2018
On variation of gradients of deep neural networks.
CoRR, 2018


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