1 Paper
Best Paper Award
Presented to the paper demonstrating the highest overall quality and contribution among papers presented at PyGeek 2026.
PyGeek 2026 Awards
Celebrating high-quality research, meaningful technical contributions, and excellence in communicating research outcomes.
2 Papers
Outstanding Paper Award
Recognizes papers with a high level of research quality and meaningful contributions to their respective fields.
1 Paper
Best Presentation Award
Recognizes excellence in presenting and clearly communicating research at the conference.
Paper Award Selection
The Best Paper and Outstanding Paper awards are determined from the official paper review scores, followed by final administrative confirmation.
- Originality and novelty
- Technical quality and soundness
- Significance of the contribution
- Clarity and quality of the paper
- Relevance to the conference
Presentation Award Selection
The Best Presentation Award is determined independently through on-site evaluations during PyGeek 2026.
- Clarity and organization
- Effectiveness of communication
- Quality of presentation materials
- Delivery and audience engagement
- Responses to questions and discussion
Official Results
PyGeek 2026 Award Winners
Best Paper
A Factor Decomposition Method for Separating Store Substitution and Embedding Placement Effects in Vector Database Migration
Junha Yoon (Sungkyul University), Ohhyeon Gwon (Sungkyul University), Junhaeng Lee (Chung-Ang University), Hyeji Roh (Chung-Ang University), Soowan Cho (Deep Insight Lab), Suhee Kim (Deep Insight Lab), Sangsoon Lim (Chung-Ang University)
Best Presentation
Multi-scale Temporal-aware Text-Enhanced Network for Multimodal Sentiment Analysis
Junjun Zhang (Henan University of Engineering), Giseop Noh (Hongik University)
Outstanding Paper
Marine Snow Removal in High-Resolution Underwater Videos Using U-Net Segmentation and Inpainting
junggyu, Park (Deep Shark Lab, Hongik University), Giseop Noh (Deep Shark Lab, Hongik University)
Outstanding Paper
A Co-evolutionary Strategy of AI Technology for Expanding Regional Industrial Value Chains
KIM EU JUNG (Hongik University)
Share your work at PyGeek 2026
Review the call for papers and submission information.
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