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. 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
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. 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
12. 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
13. KAIST·AI 시스템

    한동수INA Lab

    관련도관련 논문 1편비중 4%연구 분야에 명시
    • 2026Trinity: Three-Dimensional Tensor Program Optimization via Tile-level Equality SaturationASPLOS
14. 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
15. 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
16. 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
17. 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
18. 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
19. 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
20. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 3편비중 3%
    • 2025RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization BenchmarkKDD
    • 2025On Training-Test (Mis)alignment in Unsupervised Combinatorial Optimization: Observation, Empirical Exploration, and AnalysisPUT
    • 2024Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and MoreICML
21. KAIST·AI 시스템

    김주영CAST Lab

    관련도관련 논문 3편비중 4%
    • 2025HLX: A Unified Pipelined Architecture for Optimized Performance of Hybrid Transformer-Mamba Language ModelsMICRO
    • 2024LPU: A Latency-Optimized Highly Scalable Processor for Large Language Model InferenceIEEE Micro
    • 2023Agamotto: A Performance Optimization Framework for CNN Accelerator with Row Stationary DataflowTCAS-I
22. KAIST·머신러닝

    성영철SISReL

    관련도관련 논문 2편비중 6%
    • 2026Generalized Per-Agent Advantage Estimation for Multi-Agent Policy OptimizationAAMAS
    • 2023Off-policy multi-agent policy optimization with multi-step counterfactual advantage estimationAdaptive and Learning Agents (ALA) Workshop at AAMAS
23. KAIST·머신러닝

    이상완AI Brain Lab

    관련도관련 논문 2편비중 4%
    • 2025Cognitive bias training through model parameter optimizationRLDM
    • 2024Simulation-based behavioral profiling by model-guided task optimization and task-guided data generationCOSYNE
24. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 2편비중 3%
    • 2025LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling MatricesNAACL
    • 2023Riemannian SAM: Sharpness-Aware Minimization on Riemannian ManifoldsNeurIPS
25. KAIST·머신러닝

    정송

    관련도관련 논문 1편비중 8%
    • 2026Joint Security–Energy–Latency Optimization for Code Offloading in LEO Satellite Networks with Mixed Security RequirementsIEEE Transactions on Communications
26. KAIST·컴퓨터 비전

    김승욱GLOW Lab

    관련도관련 논문 1편비중 7%
    • 2026Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair SupervisionECCV
27. KAIST·자연어처리·LLM

    서민준LK Lab

    관련도관련 논문 1편비중 2%
    • 2026DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning CollectionsACL Findings
28. KAIST·컴퓨터 비전

    노용만IVY Lab

    관련도관련 논문 1편비중 1%
    • 2026ReFoCUS: Reinforcement-guided Frame Optimization for Contextual UnderstandingCVPR Findings
29. KAIST·로보틱스

    금동석AXE Lab

    관련도관련 논문 1편비중 3%
    • 2025Learning Homotopy Prediction for Optimization-Based Trajectory Planners for Autonomous DrivingInternational Journal of Automotive Technology
30. KAIST·머신러닝

    김희영Engineering Data Science Lab

    관련도관련 논문 1편비중 3%
    • 2025Multi-task optimization with Bayesian neural network surrogates for parameter estimation of a simulation modelComputational Statistics & Data Analysis
31. KAIST·머신러닝

    최재식SAIL Lab

    관련도관련 논문 1편비중 2%
    • 2025Rethinking Shapley Value for Negative Interactions in Non-convex GamesICLR
32. KAIST·로보틱스2026 업데이트 중

    김범준HuGe Lab

    관련도관련 논문 1편비중 8%
    • 2023Local object crop collision network for efficient simulation of non-convex objects in GPU-based simulatorsRSS
33. KAIST·머신러닝

    문재균

    관련도관련 논문 1편비중 5%
    • 2023Federated Split Learning with Joint Personalization-Generalization for Inference-Stage Optimization in Wireless Edge NetworksIEEE TMC
34. KAIST·로보틱스

    박대형RIRO Lab

    관련도관련 논문 1편비중 7%
    • 2023Learning-Based Initialization of Trajectory Optimization for Path-Following Problems of Redundant ManipulatorsICRA
35. KAIST·머신러닝

    정혜원IIDS Lab

    관련도관련 논문 1편비중 4%
    • 2023Rank-1 Matrix Completion with Gradient Descent and Small Random InitializationNeurIPS
36. KAIST·머신러닝

    문일철AAI Lab

    관련도관련 논문 1편비중 3%
    • 2023SAAL: Sharpness-Aware Active LearningICML
37. KAIST·컴퓨터 비전

    윤성의SGVR Lab

    관련도관련 논문 1편비중 2%
    • 2023Learning-based Initialization of Trajectory Optimization for Path-following Problems of Redundant ManipulatorsICRA
38. KAIST·컴퓨터 비전

    김승룡CV Lab

    관련도관련 논문 1편비중 1%
    • 20233D GAN Inversion with Pose OptimizationWACV
39. KAIST·음성·오디오

    남주한MAC Lab

    관련도관련 논문 1편비중 1%
    • 2023Sense of Convergence: Exploring the Artistic Potential of Cross-modal Sensory Transfer in Virtual RealityISMAR

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.