관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
FaScalSQL: A Fast and Scalable GPU-Accelerated SQL Query Engine for Out-of-Memory Tables
Chaemin Lim, Suhyun Lee, Jinwoo Choi, Kwanghyun Park, Jinho Lee, Joonsung Kim, Youngsok Kim
SNU이진호
FlexiWalker: Extensible GPU Framework for Efficient Dynamic Random Walks with Runtime Adaptation
Seongyeon Park, Jaeyong Song, Changmin Shin, Sukjin Kim, Junguk Hong, Jinho Lee
SNU이진호
Spexis: Speculative Lookahead Scheduling for LLM Inference
Hyungyu Jung, Jaehyeok Yu, Hoonseo Choi, Sungkyun Kim, Jinho Lee, Jiwon Seo
SNU이진호
Cheddar: A Swift Fully Homomorphic Encryption Library Designed for GPU Architectures
W. Choi*, J. Kim*, and J. Ahn
SNU안정호
GPIR: Enabling Practical Private Information Retrieval with GPUs
H. Ji, H. Yu, J. Kim, W, Choi, G. E. Suh, and J. Ahn
SNU안정호
SEDD: Scalable and Efficient Dataset Deduplication with GPUs
Youngjun Son, Chaewon Kim, Jaejin Lee
SNU이재진
Distortion-aware Brushing for Reliable Cluster Analysis in Multidimensional Projections
Hyeon Jeon, Michaël Aupetit, Soohyun Lee, Hyung-Kwon Ko, Youngtaek Kim, Ghulam Jilani Quadri, and Jinwook Seo
SNU서진욱
TailVis: Expressive Visualization Refinement Preserving Data-Binding Integrity
Yumin Song, Seokhyeon Park, Soohyun Lee, Aeri Cho, Hyeon Jeon, John Joon Young Chung, and Jinwook Seo
SNU서진욱
A Real-Time Deep Reinforcement Learning Processor for Mapless Autonomous Navigation With Unified Actor-Critic Network and Inference-on-Request Scheduling
J. Oh, J.-X. Liu, Y.-C. Teng, H.-C. Wang, and D. Jeon
SNU전동석
PRESTE: Preserving Tiny Exponent Precision for Efficient Sub-8-bit LLM Inference and Fine-Tuning
Jehun Lee, Hyesung Jeon, Juchan Lee, Jae-Joon Kim
SNU김재준
Spexis: Speculative and Lookahead Scheduling for LLM Inference
Hyungyu Jung, Jaehyeok Yu, Hoonseo Choi, Sungkyun Kim, Jinho Lee, and Jiwon Seo
SNU서지원
Aurora: A Disaggregated GPU-PNM-PIM System for High-Throughput Mixed-Length LLM Inference
Hyeonu Kim, Seunghyuk Yu, Minje Kim, Jungsul Lee, Hyojin Sung, Eojin Lee
SNU성효진
Pendulum: Network-Compute Joint Scheduling for Efficient and Accurate MEC Live Video Analytics
Juheon Yi*, Minkyung Jeong*, Seokgyeong Shin, Goodsol Lee, Daehyeok Kim, Youngki Lee
SNU이영기
Convex Distance Operator Transport: Convex and Geometry-Preserving Formulation
Junhyoung Chung, Euijong Song, Won Hwa Kim, and Gunwoong Park
SNU박건웅
ManiFusion: Unlocking High-Throughput Generation via Superposition in Manifold Space
Minkyu Kim, Baekseung Kim, Junhoo Lee, Jangho Kim, Nojun Kwak
SNU곽노준
MoARa: Module-Aware Rank Allocation and Structure-Preserving Decomposition for Low-Rank LLM Pre-training
Keunyoung Kim, Nojun Kwak
SNU곽노준
CS-TTA: Preserving Concept Sensitivity in Test-Time Adaptation
Junah Jung*, YeonGyu Han*, Chang Min Park†, Dongheon Lee†
SNU이동헌
Toward Privacy-Preserving ASR: Speaker-Level Machine Unlearning
Seaone Ok, Seungu Han, Eungbeom Kim, Kyogu Lee
SNU이교구
GS-Scale: Unlocking Large-Scale 3D Gaussian Splatting Training via Host Offloading
Donghyun Lee, Dawoon Jeong, Jae W. Lee, and Hongil Yoon
SNU이재욱
SpikeRec: Accurate and Preference-Preserving Live-Streaming Recommendation under User-Sampled Signal Loss
Jeongmin An, Jaeri Lee, U Kang
SNU강유
Enhancing Mixture-of-Experts Specialization via Cluster-Aware Upcycling
Sanghyeok Chu, Pyunghwan Ahn, Gwangmo Song, Seung Hwan Kim, Honglak Lee, and Bohyung Han
SNU이경무, 한보형
A Five-Year Journey to Accelerate Homomorphic Encryption with GPUs, Demonstrated by Sub-25ms CNN Inference
W. Choi*, S. Kim*, J. Park, and J. Ahn
SNU안정호
Fidelity-Preserving Zero-shot Diffusion Models for Highly Ill-posed Inverse Problems in Lensless Imaging
H C Lee*, D J Mun*, H W Lee*, K C Lee, S M Hong, G H Kim, S A Lee**, S Y Chun**
SNU전세영
Beyond Prompts: Preserving Semantics in Diffusion-based Semantic Communication
Wonjung Kim, Nakyung Lee, Sangwoo Hong, Jungwoo Lee
SNU이정우
Preserving Compositionality for Robust Multi-Subject Personalization in Text-to-Image Generation
Sangho Lee, Eugene Baek, Suho Ryu, Dongsoo Shin, Joonseok Lee
SNU이준석
Safe Multimodal Replanning via Projection-based Trajectory Clustering in Crowded Environments
Yongjae Lim, Seungwoo Jung, Dabin Kim, Dongjae Lee, and H. Jin Kim
SNU김현진
TAGQuant: Token-Aware Clustering for Group-Wise Quantization
Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Zhewei Yao, Yuxiong He.
SNU황승원
GriNNder: Breaking the Memory Capacity Wall in Full-Graph GNN Training with Storage Offloading
Jaeyong Song, Seongyeon Park, Hongsun Jang, Jaewon Jung, Hunseong Lim, Junguk Hong, Jinho Lee
SNU이진호
From Tokens to Layers: Redefining Stall-Free Scheduling for MoE Serving with Layered Prefill
G. Lee, J. Kim, J. Park, Y. Lee, and J. Ahn
SNU안정호