U Kang

U Kang

Recruiting grad students

Seoul National University · Computer Science and Engineering

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Professor

Prof. 강유

Professor's page · publications

About

대규모 데이터 마이닝과 머신러닝을 연구하는 데이터 마이닝 연구실이다. 그래프와 텐서 분석, 추천 시스템, 모델 압축, 금융 AI, 시계열 분석 등을 주로 다룬다. 최근에는 텐서 분해, LLM 압축, 스트리밍 데이터 처리 관련 연구를 수행하고 있다.

Research keywords

Data Mining

Selected publications

SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM CompressionACL · 2026
SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuningICLR · 2025
PuzzleTensor: A Method-Agnostic Data Transformation for Compact Tensor FactorizationKDD · 2025
Accurate Link Prediction for Edge-Incomplete Graphs via PU LearningAAAI · 2025
FreQuant: A Reinforcement-Learning based Adaptive Portfolio Optimization with Multi-frequency DecompositionKDD · 2024
Accurate Retraining-free Pruning for Pretrained Encoder-based Language ModelsICLR · 2024

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