QIF 2025 South Korea

2025 South Korea Program Details

Qualcomm Technologies, Inc. proudly announces the launch of Qualcomm Innovation Fellowship 2025 Korea program.
The program is a qualified paper scholarship selection program and open to Master or PhD students at specific universities in South Korea.

Winner
Finalist Selections
Program Information

2025 South Korea Winners

Application number Paper title Student(s) University
QIFK2025_5 RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models Yeongtak Oh Seoul National University
QIFK2025_7 HOT: Hadamard-based Optimized Training Seonggon-Kim POSTECH
QIFK2025_10 By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting Hyungjun Yoon KAIST
QIFK2025_27 Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Jeongseok Hyun Yonsei University
QIFK2025_34 Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation Phillip Yuseung Lee KAIST
QIFK2025_35 Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu KAIST
QIFK2025_59 DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning Dohoon-Kim Seoul National University
QIFK2025_72 Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior Hyoseok Lee KAIST
QIFK2025_74 Distilling Dataset into Neural Field Donghyeok Shin KAIST
QIFK2025_78 Flat Reward In Policy Parameter Space Implies Robust Reinforcement Learning Hyunkyu-Lee UNIST
QIFK2025_89 Temporal Alignment-Free Video Matching for Few-shot Action Recognition SuBeen Lee Sungkyunkwan University
QIFK2025_107 FACIL: Flexible DRAM Address Mapping for SoC-PIM Cooperative On-device LLM Inference Seong Hoon Seo Seoul National University
QIFK2025_116 L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models Hyesung Jeon Seoul National University
QIFK2025_119 SAFE: Finding Sparse and Flat Minima to Improve Pruning Dongyeop Lee POSTECH
QIFK2025_121 Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration Junseong-Kim POSTECH

Fellowship Winners and Finalists

The Qualcomm Innovation Fellowship began in 2009, and has continued to grow with the addition of more universities, more candidates, and expansion to our research centers internationally. Take a look at a list of all our fellowship winners and finalists from years past:

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