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2020 – today
- 2024
[j8]Wonseo Choi
, Dongha Kim, Sangmo Sung, Dohyung Han, Haeun Jo, Dongwook Choi, Jae-Il Jung, Hokeun Kim:
Enhanced Wi-Fi Access Point Positioning Using Hexagonal CNN With Mobile Data and Urban Information. IEEE Internet Things J. 11(20): 33820-33832 (2024)- [j7]Kwanyeob Chae, Jaegeun Song, Yoonjae Choi, Jiyeon Park, Billy Koo, Jihun Oh, Shinyoung Yi, Won Lee, Dongha Kim, Kyeongkeun Kang, Eunsu Kim, Juyoung Kim, Sanghune Park, Sungcheol Park, Mijung Noh, Hyo-Gyuem Rhew, Jongshin Shin:
A 4-nm 1.15 TB/s HBM3 Interface With Resistor-Tuned Offset Calibration and In Situ Margin Detection. IEEE J. Solid State Circuits 59(1): 231-242 (2024) - [c9]Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim:
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples. AAAI 2024: 13104-13112 - [c8]Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim:
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models. ICML 2024 - [i14]Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Daniel K. Park:
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension. CoRR abs/2403.19099 (2024) - [i13]Yongchan Choi, Seokhun Park, Chanmoo Park, Dongha Kim, Yongdai Kim:
META-ANOVA: Screening interactions for interpretable machine learning. CoRR abs/2408.00973 (2024) - [i12]Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak, Dongha Kim:
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect. CoRR abs/2408.09791 (2024) - [i11]Sang Hyun Park, Jun Young Koh, Junha Lee, Joy Song, Dongha Kim, Hoyeon Moon, Hyunju Lee, Min Song:
Illustrious: an Open Advanced Illustration Model. CoRR abs/2409.19946 (2024) - [i10]Sejin Lee, Dongha Kim, Min Song:
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot. CoRR abs/2410.22767 (2024) - 2023
- [j6]Yong-Uk Yoon, Dongha Kim, Jooyoung Lee, Byung Tae Oh, Jae-Gon Kim:
An Efficient Multi-Scale Feature Compression With QP-Adaptive Feature Channel Truncation for Video Coding for Machines. IEEE Access 11: 92443-92458 (2023) - [j5]Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin:
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models. J. Mach. Learn. Res. 24: 77:1-77:42 (2023) - [j4]Dongha Kim, Yeongbin Jo, Taekyung Kim, Hokeun Kim:
SST v1.0.0 with C API: Pluggable security solution for the Internet of Things. SoftwareX 22: 101390 (2023) - [c7]Byeong-Gil Jun, Dongha Kim, Marten Lohstroh, Hokeun Kim:
Reliable Event Detection Using Time-Synchronized IoT Platforms. CPS-IoT Week Workshops 2023: 355-360 - [c6]Kwanyeob Chae, Jiyeon Park, Jaegeun Song, Billy Koo, Jihun Oh, Shinyoung Yi, Won Lee, Dongha Kim, Taekyung Yeo, Kyeongkeun Kang, Sangsoo Park, Eunsu Kim, Sukhyun Jung, Sanghune Park, Sungcheol Park, Mijung Noh, Hyo-Gyuem Rhew, Jongshin Shin:
A 4nm 1.15TB/s HBM3 Interface with Resistor-Tuned Offset-Calibration and In-Situ Margin-Detection. ISSCC 2023: 406-407 - [c5]Dongha Kim, Hokeun Kim:
Poster Abstract: Securing Edge-Based Real-Time IoT Systems. SenSys 2023: 544-545 - [i9]Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim:
ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models. CoRR abs/2301.04257 (2023) - [i8]Seungki Hong, Dongha Kim, Jaehyung Lee, Reum Oh, Changsik Yoo, Sang Joon Hwang, Jooyoung Lee:
DSAC: Low-Cost Rowhammer Mitigation Using In-DRAM Stochastic and Approximate Counting Algorithm. CoRR abs/2302.03591 (2023) - 2022
- [c4]Youri Su, Sanghun Lee, Eunji Song, Dongha Kim, Jaeduk Han, Hokeun Kim:
Energy-Efficient Bus Encoding Techniques for Next-Generation PAM-4 DRAM Interfaces. ICCD 2022: 693-700 - [c3]Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim:
Learning fair representation with a parametric integral probability metric. ICML 2022: 11074-11101 - [i7]Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim:
Learning fair representation with a parametric integral probability metric. CoRR abs/2202.02943 (2022) - 2021
- [j3]Dongha Kim, Yongdai Kim:
Understanding Effects of Architecture Design to Invariance and Complexity in Deep Neural Networks. IEEE Access 9: 9670-9681 (2021) - [j2]Yongdai Kim, Ilsang Ohn, Dongha Kim:
Fast convergence rates of deep neural networks for classification. Neural Networks 138: 179-197 (2021) - [c2]Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik:
Kernel-convoluted Deep Neural Networks with Data Augmentation. AAAI 2021: 8155-8162 - [i6]Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin:
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models. CoRR abs/2105.04046 (2021) - [i5]Dongha Kim, Yongchan Choi, Kunwoong Kim, Yongdai Kim:
INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks. CoRR abs/2106.15185 (2021) - 2020
- [c1]Dongha Kim, Jaesung Hwang, Yongdai Kim:
On casting importance weighted autoencoder to an EM algorithm to learn deep generative models. AISTATS 2020: 2153-2163 - [i4]Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik:
Kernel-convoluted Deep Neural Networks with Data Augmentation. CoRR abs/2012.02521 (2020)
2010 – 2019
- 2019
- [j1]Dongha Kim, JongRoul Woo, Jungwoo Shin, Jongsu Lee, Yongdai Kim:
Can search engine data improve accuracy of demand forecasting for new products? Evidence from automotive market. Ind. Manag. Data Syst. 119(5): 1089-1103 (2019) - [i3]Dongha Kim, Yongchan Choi, Yongdai Kim:
Understanding and Improving Virtual Adversarial Training. CoRR abs/1909.06737 (2019) - 2018
- [i2]Yongdai Kim, Dongha Kim:
On variation of gradients of deep neural networks. CoRR abs/1812.00308 (2018) - [i1]Yongdai Kim, Ilsang Ohn, Dongha Kim:
Fast convergence rates of deep neural networks for classification. CoRR abs/1812.03599 (2018)
Coauthor Index
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