Chiehyeon Lim

According to our database, Chiehyeon Lim authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Multichannel convolution neural network for gas mixture classification.

YongKyung Oh, Chiehyeon Lim, Junghye Lee, Sewon Kim, Sungil Kim

Ann. Oper. Res., August, 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., January, 2024

Cross-channel Recommendation for Multi-channel Retail.

Yijin Choi, Jongkyung Shin, Chiehyeon Lim

CoRR, 2024

Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention.

Hansol Jung, Hyunwoo Seo, Chiehyeon Lim

CoRR, 2024

Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout.

Changhun Lee, Chiehyeon Lim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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., June, 2023

A Bi-objective Perspective on Controllable Language Models: Reward Dropout Improves Off-policy Control Performance.

Changhun Lee, Chiehyeon Lim

CoRR, 2023

Layer-level activation mechanism.

Kihyuk Yoon, Chiehyeon Lim

CoRR, 2023

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

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

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

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

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2018

Towards a Design Space for Blockchain-Based System Reengineering.

Marco Comuzzi, Erdenekhuu Unurjargal, Chiehyeon Lim

Proceedings of the Advanced Information Systems Engineering Workshops, 2018