주제로 연구실 찾기

관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.

선택한 주제최적화

관련 연구실 16곳

대학

KUAI for Science
감태의Medical AI Lab
관련도관련 논문 11편비중 15%
- 2026Tumor-Aware Direct Preference Optimization for Longitudinal Post-Operative MRI GenerationMICCAI
- 2026Core-Halo ILT: A Modular Open-Source Framework for Full-Chip Mask OptimizationISOCC
- 2025Offline Model-based Optimization for Real-World Molecular DiscoveryICML
KU머신러닝
이병준Decision Making Lab
관련도관련 논문 5편비중 15%연구 분야에 명시
- 2026AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RLNeurIPS
- 2026Scalable Through Silicon Via Design Optimization Using Diffusion ModelICPRAI
- 2025VPO: Leveraging the Number of Votes in Preference OptimizationComputational Linguistics
KU로보틱스
최성준Robot Intelligence Lab
관련도관련 논문 6편비중 18%
- 2026CLIP-Actor-X: Text-Driven 4D Human Avatar Generation via Cross-Modal Synthesis-Through-OptimizationTPAMI
- 2026Learning Unions of Convex Sets via Invertible Latent Decomposition for Path PlanningCoRL
- 2026LEGO: Latent-Space Exploration for Geometry-Aware Optimization of Humanoid Kinematic DesignICRA
KU머신러닝
박세준Efficient Inference and Learning Lab
관련도관련 논문 2편비중 15%연구 분야에 명시
- 2026Uniform Stability and Generalization Error of GD and SGD on Fixed-Point ParametersNeurIPS
- 2023Neural Networks Efficiently Learn Low-Dimensional Representations with SGDICLR
KUAI for Science
서현석IMPEL Lab
관련도관련 논문 3편비중 13%
- 2026Physics-informed optimization of saturation-transfer MRI protocols using non-differentiable Bloch modelsPhysics in Medicine and Biology
- 2026Taming Gradient Perturbations: Probabilistic Reparameterization for Robust Physics-Informed MRI Protocol OptimizationICML
- 2025Optimization of acquisition schedules and correction of B0 and B1 field inhomogeneities in saturation transfer MR fingerprinting (ST-MRF)ISMRM
KU머신러닝
김성웅, 임성빈AGI Lab
관련도관련 논문 3편비중 9%
- 2026OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image GenerationCVPR
- 2026SGPO: Self-Generated Preference Optimization based on Self-ImproverACM TIST
- 2025ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference OptimizationICML
KU인간-AI 상호작용
서승호HUI
관련도관련 논문 4편비중 7%
- 2026CoSS: Co-optimizing Sensor and Sampling rate for data-efficient human activity recognitionExpert Systems with Applications
- 2025Spend More to Save More (SM2): An Energy and Hardware-Aware Implementation of Successive Halving for Sustainable Hyperparameter OptimizationARCS
- 2024TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing LinesICPR
KU자연어처리·LLM
임희석NLP&AI Lab
관련도관련 논문 3편비중 3%
- 2026Generalizable Lifelong Model Editing via Preference OptimizationEMNLP
- 2026Language Chain in Alignment: Cross-Lingual Ranking Preference OptimizationEMNLP
- 2025Cross-Lingual Optimization for Language Transfer in Large Language ModelsACL
KU컴퓨터 비전
김동현UTL Lab
관련도관련 논문 2편비중 4%
- 2026Correlation-Weighted Multi-Reward Optimization for Compositional GenerationECCV
- 2026Self-Improving Diffusion Classifiers with Minority Preference OptimizationECCV
KU머신러닝2026 업데이트 중
정원주Statistical Intelligence Lab
관련도연구 분야에 명시
KU머신러닝
정종헌TAIL
관련도관련 논문 2편비중 9%
- 2026Margin-aware Preference Optimization for Aligning Diffusion Models without ReferenceAAAI
- 2024Confidence-aware Reward Optimization for Fine-tuning Text-to-Image ModelsICLR
KU컴퓨터 비전
김상필Computer Vision Lab
관련도관련 논문 2편비중 4%
- 2025EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian SplattingCVPR
- 2023Dual Policy Learning for Aggregation Optimization in Recommender SystemsWWW
KU머신러닝
이창희AIX
관련도관련 논문 1편비중 3%
- 2026Explaining Black-Box Language Models: Learning to Optimize Linguistically-Structured Word SubsetsKDD
KU머신러닝
이성환PRML Lab
관련도관련 논문 1편비중 1%
- 2026Negative Prompt-Guided Optimization: Enhancing Soft Prompt Generalization in Vision-Language ModelsNeural Networks
KU자연어처리·LLM
정우환Autonomous AI Lab
관련도관련 논문 1편비중 6%
- 2025Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language ModelsACL Findings
KU컴퓨터 비전
박경문VGI Lab
관련도관련 논문 1편비중 2%
- 2025Inverse Binary Optimization of Convolutional Neural Network in Active Learning Efficiently Designs Nanophotonic StructuresScientific Reports

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.

202621편

MICCAIT1
Tumor-Aware Direct Preference Optimization for Longitudinal Post-Operative MRI Generation
Bogyeong Kang, Minjoo Lim, Hyeonyeong Nam, Keun-Soo Heo, Mingxia Liu, Tae-Eui Kam
KU감태의
NeurIPST1
AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL
Woosung Kim, Youngjun Suh, Jinho Lee, Jongmin Lee, Byung-Jun Lee
KU이병준
TPAMIT1
CLIP-Actor-X: Text-Driven 4D Human Avatar Generation via Cross-Modal Synthesis-Through-Optimization
Youwang Kim, Taehyun Byun, Ji-Yeon Kim, Sungjoon Choi, Tae-Hyun Oh
KU최성준
CoRLT1
Learning Unions of Convex Sets via Invertible Latent Decomposition for Path Planning
Taerim Yoon, Dongho Kang, Kisang Park, Junha Cha, Stelian Coros, Sungjoon Choi
KU최성준
ICRAT1
LEGO: Latent-Space Exploration for Geometry-Aware Optimization of Humanoid Kinematic Design
Jihwan Yoon, Taemoon Jeong, Jeongeun Park, Chanwoo Kim, Jaewoon Kwon, Yonghyeon Lee, Kyungjae Lee, Sungjoon Choi
KU최성준
RSST1
Natural Functional Gradients for Smooth Trajectory Optimization
Kisang Park, Chanwoo Kim, Kyungjae Lee, Sungjoon Choi
KU최성준
NeurIPST1
Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters
Jonghyun Shin, Sejun Park
KU박세준
CVPRT1
OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image Generation
Yoonjin Oh, Yongjin Kim, Hyomin Kim, Donghwan Chi, Sungwoong Kim
KU김성웅, 임성빈
EMNLPT1
Generalizable Lifelong Model Editing via Preference Optimization
Dahyun Jung, Suhyune Son, Heuiseok Lim
KU임희석
EMNLPT1
Language Chain in Alignment: Cross-Lingual Ranking Preference Optimization
Seungyoon Lee, Minhyuk Kim, Jungseob Lee, Heuiseok Lim
KU임희석
ECCVT1
Correlation-Weighted Multi-Reward Optimization for Compositional Generation
Jungmyung Wi, Hyunsoo Kim, Donghyun Kim
KU김동현
ECCVT1
Self-Improving Diffusion Classifiers with Minority Preference Optimization
Hyunsoo Kim, Jungmyung Wi, Soobin Um, Donghyun Kim, Suhyun Kim
KU김동현
AAAIT1
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
KU정종헌
KDDT1
Explaining Black-Box Language Models: Learning to Optimize Linguistically-Structured Word Subsets
Minyoung Hwang, Seokhyun Lee, Changhee Lee
KU이창희
ACM TISTT2
SGPO: Self-Generated Preference Optimization based on Self-Improver
Hyeonji Lee, Daejin Jo, Seohwan Yun, Sungwoong Kim
KU김성웅, 임성빈
Expert Systems with ApplicationsT2
CoSS: Co-optimizing Sensor and Sampling rate for data-efficient human activity recognition
Mengxi Liu, Zimin Zhao, Daniel Geißler, Bo Zhou, Sungho Suh, and Paul Lukowicz
KU서승호
Neural NetworksT2
Negative Prompt-Guided Optimization: Enhancing Soft Prompt Generalization in Vision-Language Models
S.-E. Kim, S.-W. Lee
KU이성환
ISOCC
Core-Halo ILT: A Modular Open-Source Framework for Full-Chip Mask Optimization
Young-Han Son, Deok-Joong Lee, Hyeonyeong Nam, Dong-Hee Shin, Tae-Eui Kam
KU감태의
ICPRAI
Scalable Through Silicon Via Design Optimization Using Diffusion Model
Hyun-Sung Kim, Byung-Jun Lee
KU이병준
Physics in Medicine and Biology
Physics-informed optimization of saturation-transfer MRI protocols using non-differentiable Bloch models
Kang, B., Singh M., Seo, H., Park, H.W., Heo H.
KU서현석
ICMLWorkshop
Taming Gradient Perturbations: Probabilistic Reparameterization for Robust Physics-Informed MRI Protocol Optimization
Kang, B., Heo, H., Seo, H.
KU서현석

20259편

ICMLT1
Offline Model-based Optimization for Real-World Molecular Discovery
Dong-Hee Shin, Young-Han Son, Hyun Jung Lee, Deok-Joong Lee, Tae-Eui Kam
KU감태의
Computational LinguisticsT1
VPO: Leveraging the Number of Votes in Preference Optimization
Jae Hyeon Cho, Minkyung Park, Byung-Jun Lee
KU이병준
IROST1
Robust and Expressive Humanoid Motion Retargeting via Optimization-Based Rig Unification
Taemoon Jeong, Taehyun Byun, Jihoon Kim, Keunjoon Choi, Jaesung Oh, Sungpyo Lee, Omar Darwish, Joohyung Kim, Sungjoon Choi
KU최성준
ICMLT1
ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization
Hee Suk Yoon, Eunseop Yoon, MarkHasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
KU김성웅, 임성빈
ACLT1
Cross-Lingual Optimization for Language Transfer in Large Language Models
Jungseob Lee, Seongtae Hong, Hyeonseok Moon, Heuiseok Lim
KU임희석
CVPRT1
EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting
Dong In Lee, Hyeongcheol Park, Jiyoung Seo, Eunbyung Park, Hyunje Park, Ha Dam Baek, Sangheon Shin, Sangmin Kim, Sangpil Kim
KU김상필
Expert Systems with ApplicationsT2
Population-Based Evolutionary Search for Joint Hyperparameter and Architecture Optimization in Brain-Computer Interface
Dong-Hee Shin, Deok-Joong Lee, Ji-Wung Han, Young-Han Son, Tae-Eui Kam
KU감태의
Chemometrics and Intelligent Laboratory SystemsT2
Sharpness-Aware Minimization with Physics-Informed Regularizations for Predicting Semiconductor Material Properties in Molecular Dynamics
Dong-Hee Shin, Young-Han Son, Tae-Eui Kam
KU감태의
IEEE AccessT2
A Diffusion-Based Framework for Decoupling Capacitor Placement Optimization
Seong-Hyun Hong, Jinho Lee, Byung-Jun Lee
KU이병준

주제로 연구실 찾기

관련 연구실 16곳

감태의Medical AI Lab

이병준Decision Making Lab

최성준Robot Intelligence Lab

박세준Efficient Inference and Learning Lab

서현석IMPEL Lab

김성웅, 임성빈AGI Lab

서승호HUI

임희석NLP&AI Lab

김동현UTL Lab

정원주Statistical Intelligence Lab

정종헌TAIL

김상필Computer Vision Lab

이창희AIX

이성환PRML Lab

정우환Autonomous AI Lab

박경문VGI Lab

관련 논문

202621편

20259편

주제로 연구실 찾기

관련 연구실 16곳

감태의Medical AI Lab

이병준Decision Making Lab

최성준Robot Intelligence Lab

박세준Efficient Inference and Learning Lab

서현석IMPEL Lab

김성웅, 임성빈AGI Lab

서승호HUI

임희석NLP&AI Lab

김동현UTL Lab

정원주Statistical Intelligence Lab

정종헌TAIL

김상필Computer Vision Lab

이창희AIX

이성환PRML Lab

정우환Autonomous AI Lab

박경문VGI Lab

관련 논문

202621편

20259편