Data & Adaptive Intelligence Systems Lab
DAIS Lab, Korea University
Research Area
We are interested in broad topics in Data Science (DS) and Artificial Intelligence (AI). We identify real-world challenges with significant practical impacts and address them through DS/AI methodologies by leveraging {Evolving, (Un)structured data} × {Foundation models and agents} × {Human knowledge and expertise}.
Evolving Data
- Anomaly & drift detection KDD24, WWW24, KDD22, SIGMOD21, KDD20, VLDB19
- Time-series analysis NeurIPS26, WWW26, KDD25, NeurIPS24, WWW24, ICML23, ICLR22
- Streaming text & event processing EMNLP26, KDD26, SIGIR23, WWW23, ICDE19
(Un)structured Data
- Graph & network mining EMNLP26, SIGMOD26, WSDM26, CIKM24
- Spatio-temporal networks NeurIPS26, KBS25, KDD25, ICWSM25, TITS23, ICDM22
- Tabular data understanding EMNLP26, ICML26, EMNLP25, SIGIR25
Foundation Models and Agents
- Model adaptation and specialization WSDM26, EMNLP25, SIGIR25, ICML24
- Prompt tuning & continual learning EMNLP26, KDD26, SIGIR26, ICML24
- Agentic memory EMNLP26
- Retrieval and structured reasoning EMNLP26, KDD26, TIST26, ICML26, ACL26, SIGIR26
Human Knowledge and Expertise
- Taxonomies and conceptual structures EMNLP26, NC26, ACL26, SIGIR26, ACL23, EMNLP22, WWW22
- Human behavior and experiential memory EMNLP26, CIKM26, TCSS25, ICDM22, AAAI22, CHI16
- Expert intuition and weak supervision TIST26, EMNLP23, WWW23
Research to Real-World Impact
- Scientific Discovery
- Online Event Mining
- Enterprise Agentic AI
- Cybercrime Investigation
- Supply-Chain Risk Analysis
- Smart Infrastructure
- Mobility Analytics
- Industrial Monitoring
- Healthcare Intelligence
- Biomedical Text Mining
Publications
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SIMBAD: Spatio-Temporal Traffic Forecasting Robust to Aperiodicity
NeurIPS26 | Conference on Neural Information Processing Systems, 2026 (To appear)In collaboration with Chungnam National University
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Beyond Observed Auxiliary Relations: Environment-Conditioned Modeling for Multi-Behavior Recommendation
CIKM26 | ACM International Conference on Information and Knowledge Management, November 2026In collaboration with UIUC and Mohamed bin Zayed University of Artificial Intelligence
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HiVe: Beyond Static Prompts for Multitask Learning via Hierarchy-based Vertical Mixture-of-Experts
EMNLP26 | Conference on Empirical Methods in Natural Language Processing, October 2026
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PEARL: Front-Loading Relational Chains for Multi-Hop Table Retrieval
EMNLP26 | Conference on Empirical Methods in Natural Language Processing, October 2026
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PGMem: Tightly Coupled Persona–Memory Graph for Lifelong Personalized Agents
EMNLP26 | Conference on Empirical Methods in Natural Language Processing, October 2026In collaboration with Boston University
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TimelyRAG: Semantic-Temporal Hybrid Retrieval for Time-Critical Question Answering in Overlapping-Evolving Documents
EMNLP26 (Findings) | Conference on Empirical Methods in Natural Language Processing, October 2026In collaboration with KAIST and University of Vermont
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Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams
KDD26 | ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2026In collaboration with Boston University
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CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory
KDD26 | ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2026In collaboration with Yonsei University
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Improving Scientific Document Retrieval with Academic Concept Index
TIST26 | ACM Transactions on Intelligent Systems and Technology, July 2026 (SCI(E), IF: 10.7)In collaboration with UIUC, Texas A&M University, Yonsei University, and POSTECH
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Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation
ICML26 | International Conference on Machine Learning, July 2026
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Breaking the Reference Bottleneck via Learning to Rewrite Conversational Queries without Gold Reference
Passages
ICML26 | International Conference on Machine Learning, July 2026In collaboration with KAIST
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MUDY: Multi-Granular Dynamic Candidate Contextualization for Unsupervised Keyphrase Extraction
SIGIR26 | ACM SIGIR Conference on Research and Development in Information Retrieval, July 2026
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SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
SIGIR26 | ACM SIGIR Conference on Research and Development in Information Retrieval, July 2026In collaboration with UIUC
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Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
ACL26 (Findings) | Annual Meeting of the Association for Computational Linguistics, July 2026In collaboration with Yonsei University
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Back to the Future: Look-ahead Augmentation and Parallel Self-Refinement for Time Series Forecasting
WWW26 (Short) | ACM The Web Conference, June 2026
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AI-Driven Text Mining of the Female Reproductive System: Enabling Multiscale Biomedical Modeling and Personalized
Medicine
Nano Convergence, May 2026 (SCI(E), IF: 13.8)In collaboration with Sungkyunkwan University, CHA University, and Dongguk University
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LMSC: Local Sketch Modularity Optimisation for Size-Constrained Community Search in Networks
SIGMOD26 | ACM Conference on Management of Data, May 2026In collaboration with UNIST and Beijing Institute of Technology
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Metadata Meets LLMs: Constructing Knowledge-Rich Citation Networks with CoT-Enhanced Representations
WSDM26 (Short) | ACM Conference on Web Search and Data Mining, February 2026In collaboration with Chungnam National University and Institute for Advanced Engineering
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Sequence-aware Adaptive Graph Convolutional Recurrent Networks for Traffic Forecasting
KBS25 | Knowledge-Based Systems, November 2025In collaboration with Chungnam National University and Electronics and Telecommunications Research Institute
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Multi-level Diagnosis and Evaluation for Robust Tabular Feature Engineering with Large Language Models
EMNLP25 (Findings) | Conference on Empirical Methods in Natural Language Processing, November 2025
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Bi-Modal Learning for Networked Time Series
KDD25 | ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2025In collaboration with KAIST and University of Vermont
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An Analysis of City Image by Exploiting Social Media: Toward a Deeper Understanding of Multiple Characteristics
and Their Temporal Changes using Machine Learning
TCSS25 | IEEE Transactions on Computational Social Systems, July 2025 (SCI(E), IF: 4.9)
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HAETAE: In-domain Table Pretraining with Header Anchoring
SIGIR25 (Short) | ACM SIGIR Conference on Research and Development in Information Retrieval, July 2025
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Mobility Networked Time-Series Forecasting Benchmark Datasets
ICWSM25 | AAAI International Conference on Web and Social Media, June 2025In collaboration with KAIST and University of Vermont
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Exploiting Representation Curvature for Boundary Detection in Time Series
NeurIPS24 | Conference on Neural Information Processing Systems, December 2024In collaboration with KAIST and University of Vermont
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Flexi-clique: Exploring Flexible and Sub-linear Clique Structures
CIKM24 (Short) | ACM Conference on Information and Knowledge Management, October 2024In collaboration with UNIST and Inha University
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Online Drift Detection with Maximum Concept Discrepancy
KDD24 | ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2024In collaboration with UIUC and Fudan University
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One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
ICML24 | International Conference on Machine Learning, July 2024In collaboration with KAIST and KRAFTON
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Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection
WWW24 | ACM The Web Conference, May 2024In collaboration with KAIST and University of Vermont
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MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities
EMNLP23 (Findings) | Conference on Empirical Methods in Natural Language Processing, December 2023In collaboration with UIUC and Virginia Tech
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DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance
ACL23 (Findings) | Annual Meeting of the Association for Computational Linguistics, July 2023In collaboration with UIUC and Stanford University
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Context Consistency Regularization for Label Sparsity in Time Series
ICML23 | International Conference on Machine Learning, July 2023In collaboration with KAIST, UIUC, AWS AI Labs, and University of Vermont
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Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding
SIGIR23 | ACM SIGIR Conference on Research and Development in Information Retrieval, July 2023In collaboration with UIUC and Yonsei University
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PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream
WWW23 | ACM The Web Conference, April 2023In collaboration with UIUC and University of Macau
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SCStory: Self-supervised and Continual Online Story Discovery
WWW23 | ACM The Web Conference, April 2023In collaboration with UIUC and Yonsei University
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MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction
TITS23 | IEEE Transactions on Intelligent Transportation Systems, 2023 (SCI(E), IF: 8.4)
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Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation
EMNLP22 (Findings) | Conference on Empirical Methods in Natural Language Processing, December 2022In collaboration with UIUC, Google Research, and POSTECH
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Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases
ICDM22 (Short) | IEEE International Conference on Data Mining, November 2022
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Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream
KDD22 | ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2022In collaboration with UIUC, KAIST, and University of Vermont
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Coherence-based Label Propagation over Time Series for Accelerated Active Learning
ICLR22 | International Conference on Learning Representations, April 2022In collaboration with KAIST, Institute for Basic Science, NAVER AI Lab, and University of Vermont
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TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters
WWW22 | ACM The Web Conference, April 2022In collaboration with UIUC, Google Research, and POSTECH
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COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
AAAI22 | AAAI Conference on Artificial Intelligence, February 2022In collaboration with KAIST and NAVER AI Lab
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Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries
SIGMOD21 | ACM Conference on Management of Data, June 2021In collaboration with University of Vermont
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Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping
KDD20 | ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2020In collaboration with University of Vermont
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NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing
VLDB19 | International Conference on Very Large Data Bases, August 2019In collaboration with University of Vermont
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CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing
ICDE19 (Demo) | IEEE International Conference on Data Engineering, April 2019
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Social or Financial Goals? Comparative Analysis of User Behaviors in Couchsurfing and Airbnb
CHI16 (Late-Breaking Work) | ACM Conference on Human Factors in Computing Systems, May 2016