Image: Professors and awardees
Top row (from left): Professor Jae-Joon Kim, Professor Taesup Moon
Bottom row (from left): Ph.D. Candidate Hyeseong Jeon, Ph.D. Candidate Dohoon Kim

Dohoon Kim, a Ph.D. candidate in the Mechanical Intelligence and Data Science Lab (advised by Professor Taesup Moon), and Hyeseong Jeon, a Ph.D. candidate in the Very-Large-Scale Integration (VLSI) Lab (advised by Professor Jae-Joon Kim), both in the Department of Electrical and Computer Engineering at Seoul National University, were selected as final Winners of the Qualcomm Innovation Fellowship Korea (QIFK) 2025. The results were announced at the final event held on November 27.

QIFK is a scholarship and research support program organized by Qualcomm for graduate students in Korea, designed to identify and support outstanding research in the field of AI through research funding and fellowships. More than 120 research submissions were received for this year’s program, from which 15 were ultimately selected as Winners.

Hyeseong Jeon proposed a fine-tuning methodology for quantized models aimed at enabling efficient inference in task-specific large language models (LLMs). Departing from the conventional “quantization-then-fine-tuning” paradigm, the proposed approach performs quantization concurrently with fine-tuning. This method was shown to maintain high model accuracy while significantly improving inference speed.

Image: Overview of Hyeseong Jeon’s research

Dohoon Kim introduced a novel learning architecture that enables the parallel acquisition of multiple types of domain knowledge and their efficient integration and utilization. The proposed framework achieves superior performance with substantially lower computational cost compared to existing parameter-efficient fine-tuning methods.

Image: Overview of Dohoon Kim’s research

Image: Group photo of the Winners

Source: https://ece.snu.ac.kr/ece/news?md=v&bbsidx=57154

Translated by: Changhoon Kang, English Editor of the Department of Electrical and Computer Engineering, changhoon27@snu.ac.kr