Jeongin Yun

According to our database, Jeongin Yun authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM Compression.

Jeongin Yun, Jaeri Lee, Jongjin Kim, Minjun Kim, Jinho Song, U Kang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision Transformers.

Minjun Kim, Jaeri Lee, Jongjin Kim, Jeongin Yun, Yongmo Kwon, U Kang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Simple Multirate Adaptive Control on Spacecraft Jitter Rejection for the FSO Pointing System.

Kiwook Baeck, Jeongin Yun, Hyosang Yoon

IEEE Trans. Aerosp. Electron. Syst., December, 2025

Satellite Scanning Pattern for Optical Acquisition Considering Elliptical Shaped Field of Uncertainty.

Jeongin Yun, Kiwook Baeck, Hyosang Yoon

IEEE Trans. Aerosp. Electron. Syst., June, 2025

DART: Diversified and Accurate Long-Tail Recommendation.

Jeongin Yun, Jaeri Lee, U Kang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024

Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating.

Hyunsik Jeon, Jong-eun Lee, Jeongin Yun, U Kang

Proceedings of the ACM on Web Conference 2024, 2024

Towards True Multi-interest Recommendation: Enhanced Scheme for Balanced Interest Training.

Jaeri Lee, Jeongin Yun, U Kang

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Accurate Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating.

Hyunsik Jeon, Jong-eun Lee, Jeongin Yun, U Kang

CoRR, 2023

2021

Modulating Regularization Frequency for Efficient Compression-Aware Model Training.

Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Baeseong Park, Yongkweon Jeon

CoRR, 2021

2020

BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs.

Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee

Proceedings of the International Conference for High Performance Computing, 2020

FleXOR: Trainable Fractional Quantization.

Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020