주제로 연구실 찾기

1. KAIST·머신러닝

   윤철희OptiML Lab

   관련도관련 논문 19편비중 43%연구 분야에 명시
   • 2026Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch RegimeICLR
   • 2026Looking Through the Mirror: Minimax-Optimal Regularized Regrets in Online Learning and BanditsNeurIPS
   • 2026Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware MinimizationICLR
2. KAIST·머신러닝

   박진규System Intelligence Lab

   관련도관련 논문 17편비중 33%연구 분야에 명시
   • 2026Towards Real-World Routing with Neural Combinatorial OptimizationICLR
   • 2026Traffic Network Layout Optimization with Guided Discrete Diffusion ModelsWSDM
   • 2025PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial OptimizationNeurIPS
3. KAIST·컴퓨터 비전

   김현우MLV Lab

   관련도관련 논문 12편비중 17%
   • 2026AgentGrad: Intervention-guided Prompt Optimization for Multi Agent SystemsNeurIPS
   • 2026Context Blindness in DPO: Mitigating Object Hallucination in MLLMs via Context-Calibrated Preference OptimizationECCV
   • 2026MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language ModelsCVPR
4. KU·AI 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
5. SNU·머신러닝

   오민환

   관련도관련 논문 9편비중 15%
   • 2026Block Optimism for Nonstationary Bandits with Latent Linear DynamicsNeurIPS
   • 2026Convergence of Muon with Newton-SchulzICLR
   • 2026Linear Contextual Bandits with Quasi-OptimismNeurIPS
6. Yonsei·AI 시스템

   차호정MOBED

   관련도관련 논문 7편비중 32%연구 분야에 명시
   • 2026viNPU: Optimizing Vision Transformer Inference on Mobile NPUsEuroSys
   • 2025ARIA: Optimizing Vision Foundation Model Inference on Heterogeneous Mobile Processors for Augmented RealityMobiSys
   • 2025EOS: Energy-Optimized Super-Resolution on Mobile Devices for Live 360-Degree VideosMobiCom
7. Yonsei·AI 시스템

   박성훈MAIS Lab

   관련도관련 논문 5편비중 42%연구 분야에 명시
   • 2026viNPU: Optimizing Vision Transformer Inference on Mobile NPUsEuroSys
   • 2026VFM in Your Hands: Optimizing Real-Time Scene Understanding for Mobile Augmented RealityGetMobile: Mobile Computing and Communications
   • 2025ARIA: Optimizing Vision Foundation Model Inference on Heterogeneous Mobile Processors for Augmented RealityMobiSys
8. KAIST·머신러닝

   윤세영OSI Lab

   관련도관련 논문 11편비중 8%
   • 2026Group-Normalized Implicit Value Optimization for Language ModelsICLR
   • 2026Looking Through the Mirror: Minimax-Optimal Regularized Regrets in Online Learning and BanditsNeurIPS
   • 2026GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace RegressionAISTATS
9. POSTECH·머신러닝

   김동우, 옥정슬, 박상돈, 박은혁ML Lab

   관련도관련 논문 10편비중 8%
   • 2026POS-ISP: Pipeline Optimization at the Sequence Level for Task-aware ISPCVPR Findings
   • 2026SAUL: Sharpness-Aware Augmented-Lagrangian UnlearningEMNLP Findings
   • 2025Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward OptimizationICML
10. KU·머신러닝

    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
11. KU·로보틱스

    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
12. POSTECH·머신러닝

    이남훈Computational Optimization Lab

    관련도관련 논문 6편비중 23%연구 분야에 명시
    • 2025Convergence and Implicit Bias of Gradient Descent on Continual Linear ClassificationICLR
    • 2025SASSHA: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian ApproximationICML
    • 2025Critical Influence of Overparameterization on Sharpness-aware MinimizationUAI
13. SNU·머신러닝

    양인순LDS Lab

    관련도관련 논문 6편비중 21%연구 분야에 명시
    • 2026Sharpness-aware minimization can hallucinate minimizersICML
    • 2023Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernelsNeurIPS
    • 2023Distributionally robust optimization with unscented transform for learning-based motion control in dynamic environmentsICRA
14. Yonsei·머신러닝

    한동준Edge AI Lab

    관련도관련 논문 6편비중 14%
    • 2026Decentralized Domain Generalization with Style Sharing: A Formal Modeling and Convergence AnalysisIEEE INFOCOM
    • 2026MaPPO: Maximum a Posteriori Preference Optimization with Prior KnowledgeNeurIPS
    • 2025Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence AnalysisICLR
15. POSTECH·머신러닝

    전광성Interactive Machine Learning Lab

    관련도관련 논문 3편비중 14%연구 분야에 명시
    • 2026Coverage Improvement and Fast Convergence of On-policy Preference LearningICML
    • 2026GL-LowPopArt: A Nearly Instance-Wise Minimax Estimator for (Adaptive) Generalized Linear Low-Rank Trace RegressionAISTATS
    • 2024Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian OptimizationICML
16. Yonsei·AI 시스템

    박광현BDAI

    관련도관련 논문 4편비중 44%
    • 2026DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline OptimizationSIGMOD
    • 2026Exqutor: Extended Query Optimizer for Vector-augmented Analytical QueriesICDE
    • 2025Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image SynthesisCVPR
17. Yonsei·머신러닝

    송경우MLAI Lab

    관련도관련 논문 5편비중 6%
    • 2026Semi-Supervised Preference Optimization with Limited FeedbackICLR
    • 2026Data Adaptive Stochastic Ensemble Net: Optimizing Infection Predictions for COVID-19 Cluster AnalysisIEEE JBHI
    • 2026CURVE: Dynamic Cost-Accuracy Control for LLM Reasoning via Online Constrained OptimizationICML
18. Yonsei·데이터 마이닝

    박상현DELAB

    관련도관련 논문 3편비중 6%연구 분야에 명시
    • 2026PRO-HNSW: Proactive Repair and Optimization for High-Performance Dynamic HNSW IndexesICDE
    • 2023ReBADD-SE: Multi-objective Molecular Optimisation using SELFIES Fragment and Off-Policy Self-critical Sequence TrainingComputers in Biology and Medicine
    • 2023SELF-EdiT: Structure-constrained Molecular Optimisation using SELFIES Editing TransformerApplied Intelligence
19. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련도관련 논문 5편비중 5%
    • 2026A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter SearchICML
    • 2026CLIP-Actor-X: Text-driven 4D Human Avatar Generation via Cross-modal Synthesis-through-OptimizationTPAMI
    • 2025A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized OptimizationICLR
20. KAIST·머신러닝

    김기응AIPR Lab

    관련도관련 논문 4편비중 15%
    • 2026Group-Normalized Implicit Value Optimization for Language ModelsICLR
    • 2026ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement LearningRLC
    • 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy OptimizationNeurIPS
21. Yonsei·머신러닝

    권도현PDE & AI Lab

    관련도관련 논문 3편비중 20%연구 분야에 명시
    • 2024On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic ApproximationICLR
    • 2024On the Complexity of First-Order Methods in Stochastic Bilevel OptimizationICML
    • 2023A Fully First-Order Method for Stochastic Bilevel OptimizationICML
22. SNU·AI 시스템

    성효진CODE Lab

    관련도관련 논문 2편비중 15%연구 분야에 명시
    • 2026FORTE: Online DataFrame Query OptimizerCGO
    • 2023Multi-Objective Architecture Search and Optimization for Heterogeneous Neuromorphic ArchitectureICCAD
23. KU·머신러닝

    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
24. KAIST·머신러닝

    황성주MLAI Lab

    관련도관련 논문 4편비중 4%
    • 2026Agent Explorative Policy Optimization for Multimodal Agentic ReasoningNeurIPS
    • 2026Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMsICLR
    • 2025Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter TuningNeurIPS
25. KAIST·AI for Science

    예종철BISPL

    관련도관련 논문 4편비중 3%
    • 2026Diverse Text-to-Image Generation via Contrastive Noise OptimizationICLR
    • 2026PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation ModelsICLR
    • 2025Minority-Focused Text-to-Image Generation via Prompt OptimizationCVPR
26. SNU·자연어처리·LLM

    황승원LDI Lab

    관련도관련 논문 2편비중 3%연구 분야에 명시
    • 2025PROM: Pivoted and Regulated Optimization for Multilingual Instruction LearningNAACL
    • 2025Tree-of-Prompts: Abstracting Control-Flow for Prompt OptimizationACL Findings
27. POSTECH·머신러닝

    이재호EffL Lab

    관련도관련 논문 2편비중 5%연구 분야에 명시
    • 2026KV-COBRA: KV Cache Compression via Co-Optimized Bit-Rank AllocationNeurIPS
    • 2023On the Effectiveness of Sharpness-aware Minimization with Large Mini-batchesICML
28. SNU·머신러닝

    이정우CML Lab

    관련도관련 논문 5편비중 10%
    • 2026Function-Level Execution Feedback for Code Preference OptimizationEMNLP
    • 2026Binary integer programming for optimizing ebit cost in distributed quantum circuits with fixed module allocationQuantum Information Processing
    • 2023Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk CriterionNeurIPS
29. KAIST·자연어처리·LLM

    임경태MLP Lab

    관련도관련 논문 4편비중 11%
    • 2026MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use DistillationEMNLP
    • 2026ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMsEACL
    • 2024Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on KoreanLREC-COLING
30. KAIST·머신러닝

    이기민

    관련도관련 논문 4편비중 9%
    • 2026Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned BiasesICML
    • 2026MAPO: Mixture of Experts with Alternating Policy Optimization for Universal Humanoid Motion TrackingCoRL
    • 2024Confidence-aware Reward Optimization for Fine-tuning Text-to-Image ModelsICLR
31. KAIST·머신러닝

    안성수SPML Lab

    관련도관련 논문 5편비중 10%
    • 2025MT-Mol: Multi Agent System with Tool-based Reasoning for Molecular OptimizationEMNLP
    • 2025RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization BenchmarkKDD
    • 2024Enhancing Sample Efficiency in Black-box Combinatorial Optimization via Symmetric Replay TrainingICML
32. POSTECH·그래픽스

    이승용, 조성현, 백승환CG Lab

    관련도관련 논문 3편비중 4%
    • 2026Statistical Gradient Filtering for Geometry Optimization Under Limited ObservationsSIGGRAPH
    • 2026Camera Splatting for Continuous View OptimizationPacific Graphics
    • 2026POS-ISP: Pipeline Optimization at the Sequence Level for Task-aware ISPCVPR Findings
33. KAIST·데이터 마이닝

    박찬영DSAIL

    관련도관련 논문 3편비중 3%
    • 2026AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution TracesNeurIPS
    • 2026PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent OptimizationNeurIPS
    • 2026Bridging Prediction and Planning: From Synthesis Temperature Distributions to Optimization-Guided ExperimentsNeurIPS
34. KU·AI 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
35. KAIST·AI 시스템

    한동수INA Lab

    관련도관련 논문 1편비중 4%연구 분야에 명시
    • 2026Trinity: Three-Dimensional Tensor Program Optimization via Tile-level Equality SaturationASPLOS
36. POSTECH·머신러닝2026 업데이트 중

    안희갑Algorithms Lab

    관련도관련 논문 5편비중 21%
    • 2025Minimum Convex Hull and Maximum Overlap of Two Convex PolytopesSODA
    • 2025Largest Unit Rectangles Inscribed in a Convex PolygonComputational Geometry
    • 2023Covering Convex Polygons by Two Congruent DisksComputational Geometry
37. KU·머신러닝

    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
38. POSTECH·자연어처리·LLM

    이근배, 김형훈NLP Lab

    관련도관련 논문 5편비중 6%
    • 2025Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program GenerationACL
    • 2025Revisiting Early Detection of Sexual Predators via Turn-level OptimizationNAACL
    • 2024Multi-Dimensional Optimization for Text Summarization via Reinforcement LearningACL
39. KU·인간-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
40. Yonsei·자연어처리·LLM

    이동하DLI Lab

    관련도관련 논문 3편비중 5%
    • 2026PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent OptimizationNeurIPS
    • 2026SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine OptimizationKDD
    • 2025Rethinking Reward Model Evaluation Through the Lens of Reward OveroptimizationACL
41. SNU·컴퓨터 비전

    전세영ICL

    관련도관련 논문 3편비중 4%
    • 2026Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity SchedulesICML
    • 2026Harmonization for a Black-box Model using Disentanglement-based Generator and Bayesian OptimizationISMRM
    • 2025MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learningMICCAI
42. KAIST·머신러닝

    신진우ALIN Lab

    관련도관련 논문 5편비중 4%
    • 2025Calibrated Multi-Preference Optimization for Aligning Diffusion ModelsCVPR
    • 2024Confidence-aware Reward Optimization for Fine-tuning Text-to-Image ModelsICLR
    • 2024Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion modelsNeurIPS
43. KU·자연어처리·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
44. SNU·AI for Science

    이종호LIST

    관련도관련 논문 3편비중 10%
    • 2026Omni-QALAS: Optimized Multiparametric Imaging for Simultaneous T1 , T2 and Myelin Water MappingIEEE Transactions on Biomedical Engineering
    • 2025MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learningMICCAI
    • 2025MIMOSA: Multi-parametric Imaging using Multiple-echoes with Optimized Simultaneous Acquisition for highly-efficient quantitative MRIMagnetic Resonance in Medicine
45. SNU·데이터 마이닝

    강유Data Mining Lab

    관련도관련 논문 3편비중 5%
    • 2026Diffusion Models for Risk-Aware Portfolio OptimizationWSDM
    • 2026RiskBound: Risk-Aware Boundary-Guided Portfolio Optimization via Action Space ReshapingKDD
    • 2024FreQuant: A Reinforcement-Learning based Adaptive Portfolio Optimization with Multi-frequency DecompositionKDD
46. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 3편비중 4%
    • 2026ConceptPrism: Concept Disentanglement in Personalized Diffusion Models via Residual Token OptimizationCVPR
    • 2026Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-TrainingEMNLP
    • 2024Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization PerspectiveAAAI
47. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 3편비중 3%
    • 2026NaturalFlow: Optimizing Speech Flow in Simultaneous Speech-to-Speech TranslationINTERSPEECH
    • 2026Negative-Guided Subject Fidelity Optimization for Zero-Shot Subject-Driven GenerationACCV
    • 2024Unsupervised Homography Estimation on Multimodal Image Pair via Alternating OptimizationNeurIPS
48. Yonsei·머신러닝

    조성배SCLAB

    관련도관련 논문 4편비중 6%
    • 2025DT-GA-FLANN: Decision Tree based Genetically Optimized FLANN for Missing Value Imputation and ClassificationIEEE Access
    • 2025Optimizing classifier performance using PCA-FLANN: a fast and reliable approachIran Journal of Computer Science
    • 2024Efficient Feature Selection Techniques for Accurate Cancer Analysis Using Krill Heard OptimizationESIC
49. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 4편비중 5%
    • 2025Cost-sensitive freeze-thaw Bayesian optimization for efficient hyperparameter tuningNeurIPS
    • 2025Over-parameterised shallow neural networks with asymmetrical node scaling: global convergence guarantees and feature learningTMLR
    • 2024Model fusion through Bayesian optimization in language model fine-tuningNeurIPS
50. Yonsei·자연어처리·LLM

    김재형ML3 Lab

    관련도관련 논문 3편비중 7%
    • 2026Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM JudgesICLR
    • 2025Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid ComputingFuture Generation Computer Systems
    • 2024Optimized Feature Generation for Tabular Data via LLMs with Decision Tree ReasoningNeurIPS
51. KAIST·컴퓨터 비전

    윤국진VI Lab

    관련도관련 논문 4편비중 4%
    • 2025Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion PlanningIROS
    • 2025Selective Task Group Updates for Multi-Task OptimizationICLR
    • 2024Quantifying Task Priority for Multi-Task OptimizationCVPR
52. Yonsei·머신러닝

    이종민DIL Lab

    관련도관련 논문 2편비중 13%
    • 2026AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RLNeurIPS
    • 2026ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement LearningRLC
53. KAIST·AI for Science

    김우연Intelligent Chemistry Lab

    관련도관련 논문 2편비중 6%
    • 2026Autonomous bioisosteric replacement for multi-property optimization in drug designNature Communications
    • 2026Riemannian denoising model for molecular structure optimization with chemical accuracyNature Computational Science
54. KU·컴퓨터 비전

    김동현UTL Lab

    관련도관련 논문 2편비중 4%
    • 2026Correlation-Weighted Multi-Reward Optimization for Compositional GenerationECCV
    • 2026Self-Improving Diffusion Classifiers with Minority Preference OptimizationECCV
55. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련도관련 논문 2편비중 4%
    • 2026Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy OptimizationCVPR
    • 2026Rethinking Direct Preference Optimization in Diffusion ModelsAAAI
56. Yonsei·컴퓨터 비전

    박은병V-Lab

    관련도관련 논문 3편비중 8%
    • 2025EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian SplattingCVPR
    • 2025Optimized Minimal 3D Gaussian SplattingNeurIPS
    • 2024Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Field using Sharpness PriorWACV
57. SNU·로보틱스

    김아영RPM Lab

    관련도관련 논문 3편비중 8%
    • 2025Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian ProcessICRA
    • 2025TIR-Diffusion: Diffusion-based Thermal Infrared Image Denoising via Latent and Wavelet Domain OptimizationICRA
    • 2024Co-RaL: Complementary Radar-Leg Odometry with 4-DoF Optimization and Rolling ContactIROS
58. SNU·AI 시스템

    유승주CMA Lab

    관련도연구 분야에 명시
59. SNU·AI 시스템

    이재욱ARC Lab

    관련도연구 분야에 명시
60. SNU·AI 시스템

    이진호AISys Lab

    관련도연구 분야에 명시

+80

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.