Jaehyeon Choi

Jaehyeon Choi

Ph.D. Student in Computer Science and Engineering, Seoul National University

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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

publications

Smart Trash Bin Model Design and Future for Smart City

Published in Applied Sciences, 2021

A smart trash bin model design for future smart city applications.

Recommended citation: Jun-Ho Huh, Jaehyeon Choi, and Kyungryong Seo. (2021). "Smart Trash Bin Model Design and Future for Smart City." Applied Sciences.

Review of Photovoltaic Power and Aquaculture in Desert

Published in Energies, 2022

A review of photovoltaic power generation combined with aquaculture in desert environments.

Recommended citation: Thi Thu Em Vo*, Seung-Mo Je*, Se-Hoon Jung, Jaehyeon Choi, Jun-Ho Huh, and Han-Jong Ko. (2022). "Review of Photovoltaic Power and Aquaculture in Desert." Energies. (* Equal contribution)

A Research Trend on Anonymous Signature and Authentication Methods for Privacy Invasion Preventability on Smart Grid and Power Plant Environments

Published in Energies, 2022

A survey of anonymous signature and authentication methods for privacy preservation in smart grid and power plant environments.

Recommended citation: Seung-Mo Je*, Hanchul Woo*, Jaehyeon Choi, Se-Hoon Jung, and Jun-Ho Huh. (2022). "A Research Trend on Anonymous Signature and Authentication Methods for Privacy Invasion Preventability on Smart Grid and Power Plant Environments." Energies. (* Equal contribution)

AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification

Published in PAKDD'25 (The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining), 2025

An augmentation-aware representation learning approach for accurate graph classification.

Recommended citation: Minjun Kim, Jaehyeon Choi, Seungjoo Lee, Jinhong Jung, and Jun-Ho Huh. (2025). "AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification." PAKDD'25 (The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining).

Zero-shot Quantization: A Comprehensive Survey

Published in IJCAI'25 (The 35th International Joint Conference on Artificial Intelligence), 2025

A comprehensive survey of zero-shot quantization methods for neural networks.

Recommended citation: Minjun Kim*, Jaehyeon Choi*, Jongkeun Lee, Wonjin Cho, and U Kang. (2025). "Zero-shot Quantization: A Comprehensive Survey." IJCAI'25 (The 35th International Joint Conference on Artificial Intelligence). (* Equal contribution)

Prune-then-Quantize or Quantize-then Prune? Understanding the Impact of Compression Order in Joint Model Compression

Published in ICLR'26 (The 14th International Conference on Learning Representations), 2026

A study of how the order of pruning and quantization affects the outcome of joint model compression.

Recommended citation: Minjun Kim, Jaehyeon Choi, Hyunwoo Yang, Jongjin Kim, Jinho Song, and U Kang. (2026). "Prune-then-Quantize or Quantize-then Prune? Understanding the Impact of Compression Order in Joint Model Compression." ICLR'26 (The 14th International Conference on Learning Representations).

A Comprehensive Survey of Compression Algorithms for Language Models

Published in ACM Computing Surveys, 2026

A comprehensive survey of compression algorithms for language models.

Recommended citation: Seungcheol Park*, Jaehyeon Choi*, Sojin Lee*, and U Kang. (2026). "A Comprehensive Survey of Compression Algorithms for Language Models." ACM Computing Surveys. (* Equal contribution)

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