Dongha Kim

50 papers A* 6A 2C 1Misc 1Journal 36Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automatic Inter-document Multi-hop Scientific QA Generation.
CoRR
Seungmin Lee, Dongha Kim, Yuni Jeon, Junyoung Koh, Min Song
2026 J jnl
Let Triggers Control: Frequency-Aware Dropout for Effective Token Control.
CoRR
Junyoung Koh, Hoyeon Moon, Dongha Kim, Seungmin Lee, Sanghyun Park, Min Song
2026 A* conf
Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection.
AAAI
Minseo Kang, Seunghwan Park, Dongha Kim
2026 J jnl
Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection.
CoRR
Minseo Kang, Seunghwan Park, Dongha Kim
2026 J jnl
Nonparametric Estimation of a Factorizable Density using Diffusion Models.
J. Mach. Learn. Res.
Hyeok Kyu Kwon, Dongha Kim, Ilsang Ohn, Minwoo Chae
2026 J jnl
VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation.
CoRR
Junyoung Kim, Woojoo Kim, Jaehyung Lim, Dongha Kim, Hwanjo Yu
2025 A* conf
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect.
AAAI
Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak, Dongha Kim
2025 J jnl
Comparative Analysis of Ultraviolet Lamp Configurations in Large Chambers for Residual Contaminant Removal.
IEEE Access
Dongha Kim, Seonghyun Park, Bokyung Jung, Janghoo Seo
2025 A conf
Federated Continual Recommendation.
CIKM
Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu
2025 J jnl
Federated Continual Recommendation.
CoRR
Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu
2025 J jnl
Four decades of data & knowledge engineering: A bibliometric analysis and topic evolution study (1985-2024).
Data Knowl. Eng.
Tatsawan Timakum, Soobin Lee, Dongha Kim, Min Song, Il-Yeol Song
2025 J jnl
MIRRAMS: Towards Training Models Robust to Missingness Distribution Shifts.
CoRR
Jihye Lee, Minseo Kang, Dongha Kim
2025 J jnl
Personalized Federated Recommendation With Knowledge Guidance.
CoRR
Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Dongha Kim, Hwanjo Yu
2025 — conf
Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph.
WWW (Companion Volume)
Deeksha Prahlad, Chanhee Lee, Dongha Kim, Hokeun Kim
2025 J jnl
Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph.
CoRR
Deeksha Prahlad, Chanhee Lee, Dongha Kim, Hokeun Kim
2025 J jnl
SHIELD: Encrypting Persistent Data of LSM-KVS from Monolithic to Disaggregated Storage.
Proc. ACM Manag. Data
Viraj Thakkar, Dongha Kim, Yingchun Lai, Hokeun Kim, Zhichao Cao
2025 J jnl
SynC2S: An Efficient Method for Synthesizing Tabular Data With a Learnable Pre-Processing.
IEEE Access
JiWoo Kim, Seri Park, Junsung Koh, Dongha Kim
2024 J jnl
A 4-nm 1.15 TB/s HBM3 Interface With Resistor-Tuned Offset Calibration and In Situ Margin Detection.
IEEE J. Solid State Circuits
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
2024 J jnl
A Case Study of API Design for Interoperability and Security of the Internet of Things.
CoRR
Dongha Kim, Chanhee Lee, Hokeun Kim
2024 J jnl
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect.
CoRR
Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak, Dongha Kim
2024 — conf
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot.
ICKG
Sejin Lee, Dongha Kim, Min Song
2024 J jnl
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot.
CoRR
Sejin Lee, Dongha Kim, Min Song
2024 J jnl
Enhanced Wi-Fi Access Point Positioning Using Hexagonal CNN With Mobile Data and Urban Information.
IEEE Internet Things J.
Wonseo Choi, Dongha Kim, Sangmo Sung, Dohyung Han, Haeun Jo, Dongwook Choi, Jae-Il Jung, Hokeun Kim
2024 A* conf
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples.
AAAI
Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim
2024 J jnl
Illustrious: an Open Advanced Illustration Model.
CoRR
Sang Hyun Park, Jun Young Koh, Junha Lee, Joy Song, Dongha Kim, Hoyeon Moon, Hyunju Lee, Min Song
2024 J jnl
META-ANOVA: Screening interactions for interpretable machine learning.
CoRR
Yongchan Choi, Seokhun Park, Chanmoo Park, Dongha Kim, Yongdai Kim
2024 A* conf
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models.
ICML
Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim
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
2023 — conf
A 4nm 1.15TB/s HBM3 Interface with Resistor-Tuned Offset-Calibration and In-Situ Margin-Detection.
ISSCC
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, Hyogyuem Rhew, Jongshin Shin
2023 J jnl
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models.
J. Mach. Learn. Res.
Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin
2023 J jnl
An Efficient Multi-Scale Feature Compression With QP-Adaptive Feature Channel Truncation for Video Coding for Machines.
IEEE Access
Yong-Uk Yoon, Dongha Kim, Jooyoung Lee, Byung Tae Oh, Jae-Gon Kim
2023 J jnl
DSAC: Low-Cost Rowhammer Mitigation Using In-DRAM Stochastic and Approximate Counting Algorithm.
CoRR
Seungki Hong, Dongha Kim, Jaehyung Lee, Reum Oh, Changsik Yoo, Sangjoon Hwang, Jooyoung Lee
2023 J jnl
ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models.
CoRR
Dongha Kim, Jaesung Hwang, Jongjin Lee, Kunwoong Kim, Yongdai Kim
2023 Misc conf
Poster Abstract: Securing Edge-Based Real-Time IoT Systems.
SenSys
Dongha Kim, Hokeun Kim
2023 — conf
Reliable Event Detection Using Time-Synchronized IoT Platforms.
CPS-IoT Week Workshops
Byeong-Gil Jun, Dongha Kim, Marten Lohstroh, Hokeun Kim
2023 J jnl
SST v1.0.0 with C API: Pluggable security solution for the Internet of Things.
SoftwareX
Dongha Kim, Yeongbin Jo, Taekyung Kim, Hokeun Kim
2022 C conf
Energy-Efficient Bus Encoding Techniques for Next-Generation PAM-4 DRAM Interfaces.
ICCD
Youri Su, Sanghun Lee, Eunji Song, Dongha Kim, Jaeduk Han, Hokeun Kim
2022 A* conf
Learning fair representation with a parametric integral probability metric.
ICML
Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim
2022 J jnl
Learning fair representation with a parametric integral probability metric.
CoRR
Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim
2021 J jnl
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models.
CoRR
Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin
2021 J jnl
Fast convergence rates of deep neural networks for classification.
Neural Networks
Yongdai Kim, Ilsang Ohn, Dongha Kim
2021 J jnl
INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks.
CoRR
Dongha Kim, Yongchan Choi, Kunwoong Kim, Yongdai Kim
2021 A* conf
Kernel-convoluted Deep Neural Networks with Data Augmentation.
AAAI
Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik
2021 J jnl
Understanding Effects of Architecture Design to Invariance and Complexity in Deep Neural Networks.
IEEE Access
Dongha Kim, Yongdai Kim
2020 J jnl
Kernel-convoluted Deep Neural Networks with Data Augmentation.
CoRR
Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik
2020 A conf
On casting importance weighted autoencoder to an EM algorithm to learn deep generative models.
AISTATS
Dongha Kim, Jaesung Hwang, Yongdai Kim
2019 J jnl
Can search engine data improve accuracy of demand forecasting for new products? Evidence from automotive market.
Ind. Manag. Data Syst.
Dongha Kim, JongRoul Woo, Jungwoo Shin, Jongsu Lee, Yongdai Kim
2019 J jnl
Understanding and Improving Virtual Adversarial Training.
CoRR
Dongha Kim, Yongchan Choi, Yongdai Kim
2018 J jnl
Fast convergence rates of deep neural networks for classification.
CoRR
Yongdai Kim, Ilsang Ohn, Dongha Kim
2018 J jnl
On variation of gradients of deep neural networks.
CoRR
Yongdai Kim, Dongha Kim