관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
+38
2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
Sukbin Lim, Jung-Hoon Kim, Seungjae Moon, Junseo Cha, Dongjin Seo, Jongho Kim, Hunjong Lee, Jinwon Lee, Joo-Young Kim
KAIST김주영
Muyoung Son, Yi Chen, Seungjae Yoo, Soongyu Choi, Joo-Young Kim
KAIST김주영
NetFED: Network-Aware Acceleration for Multi-Key Privacy-Preserving Federated Learning Aggregation
Jaeho Jeon, Wonjin Shin, Sungwoong Yune, Joo-Young Kim
KAIST김주영
Adiwena Putra, Hyunjun Cho, Sungwoong Yune, Cuong Duongmanh, Jaeho Jeon, Joo-Young Kim
KAIST김주영
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
Yonsei김영석
SMTcheck: Accurate SMT Interference Prediction to Improve Scheduling Efficiency in Datacenters
Sanghyun Kim, Jinhyeok Oh, Taehun Kim, Gyutae Kim, Youngsok Kim, Jaehyun Hwang, Joonsung Kim
Yonsei김영석
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
PASCAL: A Phase-Aware Scheduling Algorithm for Serving Reasoning-based Large Language Models
Eunyeong Cho, Jehyeon Bang, Ranggi Hwang, and Minsoo Rhu
KAIST유민수
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers
Jiin Kim, Gwangoo Yeo, Yujeong Choi, and Minsoo Rhu
KAIST유민수
ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs
Gwangoo Yeo, Zhiyang Shen, Wei Cui, Matteo Interlandi, Rathijit Sen, Bailu Ding, Qi Chen, and Minsoo Rhu
KAIST유민수
Garen: Reliable Cluster Management with Atomic State Reconciliation
Mingi Kim, Ahnjae Shin, Jaewoo Maeng, Myeongjae Jeon, Byung-Gon Chun
POSTECH전명재
ORBITFLOW: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfiguration
Xinyue Ma, Heelim Hong, Jongseop Lee, Seoyeong Choy, Woo-Yeon Lee, Taegeon Um, Myeongjae Jeon
POSTECH전명재
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
Rethinking LLM Fine-Tuning via Weight Space Reparameterization: Preserving Safety during Downstream Adaptation
Min-Seong Kim, Jongbok Won, Jeesup Park, Yonghee Choi, Dong-Jun Han
Yonsei한동준
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
Probability-Conserving Flow Guidance
Parsa Esmati, Junha Hyung, Amirhossein Dadashzadeh, Jaegul Choo, Majid Mirmehdi
KAIST주재걸
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
APPLE: Attribute-Preserving Pseudo-Labeling for Diffusion-Based Face Swapping
Jiwon Kang, Yeji Choi, JoungBin Lee, Wooseok Jang, Jinhyeok Choi, Taekeun Kang, Yongjae Park, Myungin Kim, Seungryong Kim
KAIST김승룡
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
TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
Hayeong Lee, JunHyeok Oh, Byung-Jun Lee
KU이병준
Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling
Jung, E., Kim, B., Kim, H., Cho, S., and Lee, J.
KAIST이재길
Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning
Kim, H., Nam, Y., Han, J., Choi, W., and Lee, J.
KAIST이재길