주제로 연구실 찾기

1. KAIST·데이터 마이닝

   신기정Data Mining Lab

   관련도관련 논문 12편비중 13%
   • 2026Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language ModelsRecSys
   • 2026Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal RecommendationWWW
   • 2026Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and A Simple RemedyICML
2. SNU·데이터 마이닝

   강유Data Mining Lab

   관련도관련 논문 10편비중 15%연구 분야에 명시
   • 2026SpikeRec: Accurate and Preference-Preserving Live-Streaming Recommendation under User-Sampled Signal LossCIKM
   • 2026CatDive: A Simple yet Effective Method for Maximizing Category Diversity in Sequential RecommendationPLOS ONE
   • 2025Context-aware Sequential Bundle Recommendation via User-specific RepresentationsCIKM
3. KAIST·데이터 마이닝

   박찬영DSAIL

   관련도관련 논문 9편비중 9%연구 분야에 명시
   • 2026PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative FilteringWWW
   • 2026Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional FeedbackNeurIPS
   • 2026Token-Efficient Item Representation via Images for LLM Recommender SystemsICLR
4. Yonsei·자연어처리·LLM

   이동하DLI Lab

   관련도관련 논문 9편비중 16%연구 분야에 명시
   • 2026MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative RecommenderSIGIR
   • 2026WatchLens: A Configurable Platform for Online Video Recommendation ExperimentsRecSys
   • 2025BPL: Bias-adaptive Preference Distillation Learning for Recommender SystemIEEE TKDE
5. Yonsei·데이터 마이닝

   이경호ICL

   관련도관련 논문 8편비중 32%연구 분야에 명시
   • 2026Data-Efficient Adaptation to Contextual Shifts in LLM-based Conversational RecommendationACL Findings
   • 2025CoreSense: Social Commonsense Knowledge-Aware Context Refinement for Conversational Recommender SystemIEEE TKDE
   • 2025Knowledge-constrained Interest-aware Multi-behavior Recommendation with Behavior Pattern IdentificationInformation Sciences
6. KAIST·데이터 마이닝

   박노성BigDyL

   관련도관련 논문 7편비중 10%연구 분야에 명시
   • 2026One Sequential Recommendation Model Pretrained from Synthetic Priors Predicts Multiple DatasetsKDD
   • 2025SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for RecommendationWSDM
   • 2025TV-Rec: Time-Variant Convolutional Filter for Sequential RecommendationNeurIPS
7. SNU·컴퓨터 비전

   이준석VIP Lab

   관련도관련 논문 6편비중 11%연구 분야에 명시
   • 2026Probabilistic Multi-Interest Representation for Personalized RecommendationSDM
   • 2025Graph Spectral Filtering with Chebyshev Interpolation for RecommendationSIGIR
   • 2025Local Large Language Models for RecommendationCIKM
8. KAIST·컴퓨터 비전

   주재걸DAVIAN Lab

   관련도관련 논문 6편비중 4%
   • 2026A Dual-Expert Strategy Integrating LLMs to Mitigate Negative Transfer in Cross-Domain Sequential RecommendationCIKM
   • 2026CURE: Coupled User-Grouped Reinforcement Learning for Cross-Domain Recommendation with Non-Overlapping UsersNeurIPS
   • 2026More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User PreferencesICLR
9. KAIST·AI 시스템

   유민수VIA Research Group

   관련도관련 논문 6편비중 21%
   • 2025A Characterization of Generative Recommendation Models: Study of Hierarchical Sequential Transduction UnitIEEE Computer Architecture Letters
   • 2025Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized RecommendationsPACT
   • 2024ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation ModelsISCA
10. SNU·자연어처리·LLM

    이상구IDS Lab

    관련도관련 논문 3편비중 19%연구 분야에 명시
    • 2025Parameter-Efficiently Leveraging Session Information in Deep Learning-Based Session-Aware Sequential RecommendationIEEE Access
    • 2024Proxy-based Item Representation for Attribute and Context-aware RecommendationWSDM
    • 2024Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels ReconstructionEMNLP Findings
11. SNU·데이터 마이닝

    유재민Data AI Lab

    관련도관련 논문 4편비중 15%
    • 2026PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative FilteringWWW
    • 2026ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based RecommendationSIGIR
    • 2025Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria RecommendationWWW
12. KAIST·데이터 마이닝

    황지영Big Data Intelligence Lab

    관련도관련 논문 2편비중 10%연구 분야에 명시
    • 2026Dialogue Generation for Conversational Recommendation Using User Search Interactions and Knowledge GraphsCIKM
    • 2025Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable RecommendationCIKM
13. Yonsei·자연어처리·LLM

    여진영Language & AGI Lab

    관련도관련 논문 4편비중 8%
    • 2026MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative RecommenderSIGIR
    • 2025Review-driven Personalized Preference Reasoning with Large Language Models for RecommendationSIGIR
    • 2025Stop Playing the Guessing Game! Evaluating Conversational Recommender Systems via Target-free User SimulationEMNLP Findings
14. KAIST·음성·오디오

    남주한MAC Lab

    관련도관련 논문 3편비중 3%
    • 2026LLM-as-a-Judge for Evaluating System Responses in Conversational Music RecommendationRecSys
    • 2026Multimodal Video-to-Music Recommendation via Semantic Retrieval and Temporal RerankingICML
    • 2025Conversational Music Recommendation with LLM Tool CallingNeurIPS
15. KU·컴퓨터 비전

    김상필Computer Vision Lab

    관련도관련 논문 3편비중 5%
    • 2025Prosthetic Keypoint Estimation for Alternative Exercise Recommendation in Lower Limb DisabilitiesHuman-centric Computing and Information Sciences
    • 2024Self-Supervised Multimodal Graph Convolutional Network for Collaborative FilteringInformation Sciences
    • 2023Dual Policy Learning for Aggregation Optimization in Recommender SystemsWWW
16. Yonsei·데이터 마이닝

    장백철ANDLab

    관련도관련 논문 3편비중 8%
    • 2024An approach on improving the recommender system: Predicting movie genres based on plot summariesICAIIC
    • 2023Autoregressive decoder with extracted gap sessions for sequential/session-based recommendationIEEE Access
    • 2023Evolution of deep learning-based sequential recommender systems: from current trends to new perspectivesIEEE Access
17. Yonsei·머신러닝

    조성배SCLAB

    관련도관련 논문 2편비중 3%
    • 2025SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for RecommendatioWSDM
    • 2023Blurring-Sharpening Process Models for Collaborative FilteringSIGIR
18. SNU·데이터 마이닝

    박현우DIAL Lab

    관련도관련 논문 1편비중 3%
    • 2026What Gets Measured Gets Managed: Sign-aware Recommendation Needs Sign-aware EvaluationNeurIPS
19. SNU·데이터 마이닝

    강필성DSBA Lab

    관련도관련 논문 1편비중 2%
    • 2026CEREAL: Personality-Driven LLM-based Conversational Recommendation Dataset with Contextually-Enriched and Realistic User InteractionsMultimedia Tools and Applications
20. KAIST·AI for Science

    예종철BISPL

    관련도관련 논문 1편비중 1%
    • 2026PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug RecommendationEMNLP Findings
21. SNU·머신러닝2026 업데이트 중

    강명주NCIA Lab

    관련도관련 논문 2편비중 5%
    • 2023AdaptiveRec : Adaptively Construct Pairs for Contrastive Learning in Sequential RecommendationICML
    • 2023Fisher-Weighted Merge of Contrastive Learning Models in Sequential RecommendationICML
22. KAIST·데이터 마이닝

    이재길Data Mining Lab

    관련도관련 논문 1편비중 3%
    • 2025Large Language Models are Zero-Shot Point-of-Interest RecommendersData Mining and Knowledge Discovery
23. KAIST·머신러닝

    최재식SAIL Lab

    관련도관련 논문 1편비중 2%
    • 2025Context-aware Negative Sampling for Sequential RecommendationIEEE Access
24. SNU·AI for Science

    손석우Weather and Climate Dynamics Lab

    관련도관련 논문 1편비중 1%
    • 2025Compound weather and climate extremes in the Asian region: science-informed recommendations for policyFrontiers in Climate
25. KAIST·AI 시스템

    김주영CAST Lab

    관련도관련 논문 1편비중 1%
    • 2025SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation ModelsIEEE Transactions on Computers
26. Yonsei·머신러닝

    송경우MLAI Lab

    관련도관련 논문 1편비중 1%
    • 2025Multi-purpose Technology Commercialization Recommender System with Large-scale Korean Language ModelJournal of Supercomputing
27. SNU·AI 시스템

    권태경MM Lab

    관련도관련 논문 1편비중 5%
    • 2024Predicting Diversification Scores of Videos in Recommendation NetworkExpert Systems with Applications
28. SNU·AI for Science

    이승근

    관련도관련 논문 1편비중 4%
    • 2024To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practiceJournal of the American Medical Informatics Association
29. SNU·AI for Science

    이종호LIST

    관련도관련 논문 1편비중 3%
    • 2024Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro-magnetic tissue properties study groupMagnetic Resonance in Medicine
30. Yonsei·AI 시스템

    차호정MOBED

    관련도관련 논문 1편비중 5%
    • 2024Optimizing Profitability of E-Scooter Sharing System via Battery-aware RecommendationMobiSys
31. SNU·자연어처리·LLM

    유영재PI Lab

    관련도관련 논문 1편비중 1%
    • 2024Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation DatasetACL Findings
32. SNU·로보틱스

    조규진Biorobotics Lab

    관련도관련 논문 1편비중 3%
    • 2024Soft Robotics in Upper Limb Neurorehabilitation and Assistance: Current Clinical Evidence and RecommendationsSoft Robotics
33. KAIST·인간-AI 상호작용

    김주호KIXLAB

    관련도관련 논문 1편비중 1%
    • 2024PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected PapersCHI
34. SNU·머신러닝

    김태섭LAAL Lab

    관련도관련 논문 1편비중 3%
    • 2023Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start RecommendationCIKM
35. KAIST·머신러닝

    박진규System Intelligence Lab

    관련도관련 논문 1편비중 2%
    • 2023A recommending system for mobile games using the dynamic nonparametric modelJournal of Business Research
36. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련도관련 논문 1편비중 2%
    • 2023CoMix: Collaborative Filtering with Mixup for Implicit DatasetsInformation Sciences
37. Yonsei·컴퓨터 비전

    이종석MCML Group

    관련도관련 논문 1편비중 3%
    • 2023Leveraging feature interaction for modeling user-item interaction in recommender systemsIEEE SMC
38. SNU·컴퓨터 비전

    곽노준MIPAL Lab

    관련도관련 논문 1편비중 1%
    • 2023Image Recommendation System Based on Environmental and Human Face InformationSensors
39. KAIST·머신러닝

    윤세영OSI Lab

    관련도관련 논문 1편비중 1%
    • 2023Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start RecommendationCIKM

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.