관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
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2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
A 11.0 TOPS/W Diffusion Accelerator with Temporal Data Reuse for Real-Time Text-to-Motion Generation
Sungwoong Yune, Jieon Yoon, Hangyeol Lee, Adiwena Putra, Jaehoon Heo, Joo-Young Kim
KAIST김주영
Sukbin Lim, Jung-Hoon Kim, Seungjae Moon, Junseo Cha, Dongjin Seo, Jongho Kim, Hunjong Lee, Jinwon Lee, Joo-Young Kim
KAIST김주영
APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization
Sungyeob Yoo, Seeyeon Kim, Joonyong Park, Seunghee Han, Joo-Young Kim
KAIST김주영
MASQ: Accelerating Masked Diffusion via Stage-Wise Multi-Precision Quantization
Seeyeon Kim, Jaehun Lee, Sungyeob Yoo, 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
ORBIS: Output-Guided Token Reduction with Distribution-Aware Matching for Video Diffusion Acceleration
Hangyeol Lee, Joo-Young Kim
KAIST김주영
Seungjae Yoo, Hangyeol Kim, Muyoung Son, Yi Chen, Suheon Jeong, Joo-Young Kim
KAIST김주영
V-Rex: Real-Time Streaming Video LLM Acceleration via Dynamic KV Cache Retrieval
Donghyuk Kim, Sejeong Yang, Wonjin Shin, Joo-Young Kim
KAIST김주영
ZK-Flex: A Flexible and Scalable Framework for Accelerating Zero-Knowledge Proofs
Adiwena Putra, Cuong Manh Duong, Anh Quang Pham, Joo-Young Kim
KAIST김주영
CompactAttention: Accelerating Chunked Prefill with Block-Union KV Selection
Jiwon Song, Dongwon Jo, Beomseok Kang, Jae-Joon Kim
SNU김재준
PIMony: A DRAM-PIM Design for Harmonizing PIM and Memory Accesses with Minimal Interference
Gyeonghwan Park, Inseong Choi, Byungkuk Yoon, Sanghyeok Han, Jae-Joon Kim
SNU김재준
IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements
S. Kim, H. Ji, J. Kim, W. Choi, J. Park, and J. Ahn
SNU안정호
LILo: Harnessing the On-chip Accelerators in Intel CPUs for Compressed LLM Inference Acceleration
H. Kim, Q. Xia, J. Huang, N. Wang, Y. Lee, J. Ahn, W. K Feghali, R. Wang, and N. Kim
SNU안정호
RowArmor: Efficient and Comprehensive Protection Against DRAM Disturbance Errors
M. Wi, Y. Yoo, Y. Kim, J. Shin, J. Kim, Y. Ryu, S. Gorgin, J. Ahn, and J Kim
SNU안정호
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
LoCaLUT: Harnessing Capacity-Computation Tradeoffs for LUT-Based Inference in DRAM-PIM
Junguk Hong, Changmin Shin, Sukjin Kim, Si Ung Noh, Taehee Kwon, SeongYeon Park, Hanjun Kim, Youngsok Kim, Jinho Lee
SNU이진호
Agent-X: Full Pipeline Acceleration of On-device AI Agents
Jinha Chung, Byeongjun Shin, Jiin Kim, and Minsoo Rhu
KAIST유민수
PIM-malloc: A Fast and Scalable Dynamic Memory Allocator for Processing-In-Memory (PIM) Architectures
Dongjae Lee, Bongjoon Hyun, Youngjin Kwon, 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
A 28nm 2GS/s Remote-Sensing On-Chip Oscilloscope Using Charge-Redistributing Voltage Transfer and Time-Domain Stochastic ADC with 1.6mV Resolution
M. Kang, D. Lee, S. Jeong, K. Shin, and D. Jeon
SNU전동석
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
Ganghyun Kim, Hyeonjun An, Hyunjoon Kim, Rathijit Sen, Kangkyu Park, Jinho Baek, Kwangsik Shin, Youngpyo Joo, and Kwanghyun Park
Yonsei박광현
Accelerated Image Editing via Consistency-Aware Source Token Pruning
Jeongsol Kim, Jong Chul Ye, Yufei Wang, Jian Wang
KAIST예종철
Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
Taesung Kwon, Jonghyun Park, Hyungjin Chung, Jong Chul Ye
KAIST예종철
Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling
Kyungmin Lee, Sihyun Yu, Jinwoo Shin
KAIST신진우
Junhyuk So, Hyunho Kook, Chaeyeon Jang, Eunhyeok Park
POSTECH김동우, 옥정슬, 박상돈, 박은혁
AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm
Minsang Park, Gyuwon Sim, Hyungho Na, Jiseok Kwak, Sumin Lee, Richard Lee Kim, Donghyeok Shin, Byeonghu Na, Yeongmin Kim, Il-chul Moon
KAIST문일철
Training-free Mixed-Resolution Latent Upsampling for Spatially Accelerated Diffusion Transformers
W G Jeong*, K R Lee*, H G Seo, S Y Chun
SNU전세영
viNPU: Optimizing Vision Transformer Inference on Mobile NPUs
Jeho Lee, Gunjoong Kim, Chanyoung Jung, Jaehee Kim, Seonghoon Park, Hojung Cha
Yonsei박성훈