Towards a Design Space for Blockchain-Based System Reengineering. - Marco Comuzzi; Erdenekhuu Unurjargal; Chiehyeon Lim (CAiSE Workshops, 2018)

Diet Planning with Machine Learning: Teacher-forced REINFORCE for Composition Compliance with Nutrition Enhancement. - Changhun Lee; Soohyeok Kim; Chiehyeon Lim; Jayun Kim; Yeji Kim; Minyoung Jung (KDD, 2021)

MIND dataset for diet planning and dietary healthcare with machine learning: Dataset creation using combinatorial optimization and controllable generation with domain experts. - Changhun Lee; Soohyeok Kim; Sehwa Jeong; Chiehyeon Lim; Jayun Kim; Yeji Kim; Minyoung Jung (NeurIPS Datasets and Benchmarks, 2021)

Customer complaints monitoring with customer review data analytics: An integrated method of sentiment and statistical process control analyses. - Juram Kim; Chiehyeon Lim (Adv. Eng. Informatics, 2021)

Recommendation in Offline Stores: A Gamification Approach for Learning the Spatiotemporal Representation of Indoor Shopping. - Jongkyung Shin; Changhun Lee; Chiehyeon Lim; Yunmo Shin; Junseok Lim (KDD, 2022)

Risk score-embedded deep learning for biological age estimation: Development and validation. - Suhyeon Kim; Hangyeol Kim; Eun-Sol Lee; Chiehyeon Lim; Junghye Lee (Inf. Sci., 2022)

Driving Risk Assessment Using Non-Negative Matrix Factorization With Driving Behavior Records. - Hyunwoo Seo; Jongkyung Shin; Ki-Hun Kim; Chiehyeon Lim; Jungcheol Bae (IEEE Trans. Intell. Transp. Syst., 2022)

Layer-level activation mechanism. - Kihyuk Yoon; Chiehyeon Lim (CoRR, 2023)

A Bi-objective Perspective on Controllable Language Models: Reward Dropout Improves Off-policy Control Performance. - Changhun Lee; Chiehyeon Lim (CoRR, 2023)

From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product-service systems in Industry 4.0. - Minjun Kim; Chiehyeon Lim; Juliana Hsuan (Comput. Ind., 2023)

Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout. - Changhun Lee; Chiehyeon Lim (EMNLP (Findings), 2024)

Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention. - Hansol Jung; Hyunwoo Seo; Chiehyeon Lim (CoRR, 2024)

Cross-channel Recommendation for Multi-channel Retail. - Yijin Choi; Jongkyung Shin; Chiehyeon Lim (CoRR, 2024)

Development of an offline OOH advertising recommendation system using negative sampling and deep interest network. - Hyunwoo Seo; Soohyeok Kim; Sang-Gi Ryu; Seung-Kyu Jo; Su-Phil Cho; Jong-Soo Sohn; Chiehyeon Lim (Multim. Tools Appl., 2024)

Multichannel convolution neural network for gas mixture classification. - YongKyung Oh; Chiehyeon Lim; Junghye Lee; Sewon Kim; Sungil Kim (Ann. Oper. Res., 2024)

Multistage Net: Learning Continuous Multistage Manufacturing Processes of Liquid Products Without Intermediate Output and Lead-Time Labels. - Hojin Cho; Chiehyeon Lim (IEEE Trans. Ind. Informatics, 2024)

LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs. - Kihyuk Yoon; Chiehyeon Lim (AAAI, 2025)

ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting. - Hyunwoo Seo; Chiehyeon Lim (KDD (1), 2025)

Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation. - Yijin Choi; Chiehyeon Lim (CoRR, 2025)