NVDIMM-C: A Byte-Addressable Non-Volatile Memory Module for Compatibility with Standard DDR Memory Interfaces. - Changmin Lee 004; Wonjae Shin; Dae Jeong Kim; Yongjun Yu; Sung-Joon Kim; Taekyeong Ko; Deokho Seo; Jongmin Park; Kwanghee Lee; Seongho Choi 002; Namhyung Kim; Vishak G; et al. (HPCA, 2020)

Detecting and Analyzing Politically-Themed Stocks Using Text Mining Techniques and Transfer Entropy - Focus on the Republic of Korea's Case. - Insu Choi; Woo Chang Kim (Entropy, 2021)

Bipolar vector classifier for fault-tolerant deep neural networks. - Suyong Lee; Insu Choi; Joon-Sung Yang (DAC, 2022)

RQ-DNN: Reliable Quantization for Fault-tolerant Deep Neural Networks. - Insu Choi; Jae-Youn Hong; JaeHwa Jeon; Joon-Sung Yang (DAC, 2023)

PIE-DRAM: Postponing IECC to Enhance DRAM performance with access table. - JaeHwa Jeon; Jae-Youn Hong; Sunghoon Kim; Insu Choi; Joon-Sung Yang (DAC, 2023)

Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-series. - Woosung Koh; Insu Choi; Yuntae Jang; Gimin Kang; Woo Chang Kim (CoRR, 2023)

An Iridescent Insights of Statistical Interdependencies of Financial Markets. - Insu Choi; Woo Chang Kim (BigComp, 2024)

ViT-slice: End-to-end Vision Transformer Accelerator with Bit-slice Algorithm. - Dongjin Shin; Insu Choi; Joon-Sung Yang (DAC, 2024)

Encoding Temporal Statistical-space Priors via Augmented Representation under Data Scarcity. - Insu Choi; Woosung Koh; Gimin Kang; Yuntae Jang; Woo Chang Kim (STRL@IJCAI, 2024)

Encoding Temporal Statistical-space Priors via Augmented Representation. - Insu Choi; Woosung Koh; Gimin Kang; Yuntae Jang; Woo Chang Kim (CoRR, 2024)

Survey and Evaluation of Converging Architecture in LLMs based on Footsteps of Operations. - Seongho Kim; Jihyun Moon; Juntaek Oh; Insu Choi; Joon-Sung Yang (CoRR, 2024)

Network-based exploratory data analysis and explainable three-stage deep clustering for financial customer profiling. - Insu Choi; Woosung Koh; Bonwoo Koo; Woo Chang Kim (Eng. Appl. Artif. Intell., 2024)

Unlocking ETF price forecasting: Exploring the interconnections with statistical dependence-based graphs and xAI techniques. - Insu Choi; Woo Chang Kim (Knowl. Based Syst., 2024)

Enhancing Exchange-Traded Fund Price Predictions: Insights from Information-Theoretic Networks and Node Embeddings. - Insu Choi; Woo Chang Kim (Entropy, 2024)

Bit-slice Architecture for DNN Acceleration with Slice-level Sparsity Enhancement and Exploitation. - Insu Choi; Young-Seo Yoon; Joon-Sung Yang (HPCA, 2025)