FleXOR: Trainable Fractional Quantization. - Dongsoo Lee; Se Jung Kwon; Byeongwook Kim; Yongkweon Jeon; Baeseong Park; Jeongin Yun (NeurIPS, 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 (SC, 2020)

Modulating Regularization Frequency for Efficient Compression-Aware Model Training. - Dongsoo Lee; Se Jung Kwon; Byeongwook Kim; Jeongin Yun; Baeseong Park; Yongkweon Jeon (CoRR, 2021)

Accurate Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating. - Hyunsik Jeon; Jong-eun Lee; Jeongin Yun; U Kang (CoRR, 2023)

Towards True Multi-interest Recommendation: Enhanced Scheme for Balanced Interest Training. - Jaeri Lee; Jeongin Yun; U Kang (IEEE Big Data, 2024)

Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating. - Hyunsik Jeon; Jong-eun Lee; Jeongin Yun; U Kang (WWW, 2024)

DART: Diversified and Accurate Long-Tail Recommendation. - Jeongin Yun; Jaeri Lee; U Kang (PAKDD (3), 2025)

Satellite Scanning Pattern for Optical Acquisition Considering Elliptical Shaped Field of Uncertainty. - Jeongin Yun; Kiwook Baeck; Hyosang Yoon (IEEE Trans. Aerosp. Electron. Syst., 2025)