Workshop Archive

Data & Adaptive Intelligence Systems Lab, Korea University

Progress Workshop (2026.02.27)

Heemon | A single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings
Chaeyeong | Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding
Seohyeon | DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Yoonhwan | SIMBAD: Spatio-Temporal Traffic Forecasting Robust to Aperiodicity
Seunghan | Recent work on Recommender System
Myeongchun | Boosting Autoencoders via Latent Density-aware Sampling for Unsupervised Anomaly Detection
Jeyun | Recent work on Scientific Document Retrieval

[09.29] Huijeong | Towards Knowledge Base Distillation for SLM Fine-Grained Reasoning
[10.27] Hyunwoong | Maximizing Profit through Smart Targeting: Predicting Who Will Buy
[11.10] Woojun | 지난 연구를 통해 얻은 것
[11.17] Yebin | EMNLP 학회 참관기
[11.24] Sunho | Mixture of Experts Strategy for Multivariate Time Series
[12.01] Hyeongu | How Can We Structure Knowledge for Effective RAG?
[12.09] Jeehyo | The Grain on the Scale: Model in Problem, Problem in Model
[12.22] Yoonhwan | From Graph to GNNs

Hyeongu | MGRank: Unsupervised Keyphrase Extraction with Multi-granular Topic Saliency
Subeen | Semantic-Aware Vertical Partitioning for Efficient Table Retrieval
Yebin | Multi-level Diagnosis and Evaluation for Robust Tabular Feature Engineering with Large Language Models

Hyunwoong | Dissecting Channel Dependency in Multivariate Time Series Forecasting: Interaction Scope, Level, and Architecture
Yoonhwan | Aperiodicity-Robust Spatio-Temporal Traffic Forecasting
Jiyun | Value-aware Cross-Modal Alignment: Learning Numeric-Semantic Representations between Text and Time-Series
Juhyeong | Systematic Literature Review of Online Deep Anomaly Detection
Myeongchun | Online Anomaly Detection via Adaptive Boosting with Dynamic Weighting
Sunho | Causal Differential Equation Model for Anomaly Detection in Time Series
Jeehyo | AI for Biomedical Challenges: From Literature Insights to Real-world Applications
Woojun | Representation Learning: From Foundations to Structured Abstractions in Tabular Data
Yeonwoo | Leveraging Intra-Column Relationships for Enhanced Table Understanding
Seungwon | Overcoming Local Sparsity in Continual Knowledge Graph Learning
Huijeong | Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory
Wonjun | Persona-adaptive Memory Module for LLM-based Agents
Hyeonjik | Soft Prompt–driven Multitask Learning with Task Group Adaptation
Minyeol | From Forgetting to Improvement: Continual GraphRAG for Multi-hop QA
Yerim | Tool-Augmented Context Engineering for Hybrid KV-Cache Management in AI Agents

Subeen | Open-world machine learning and retrieval-enhanced tabular prediction
Myeongchun | Concept-drifted world and retrieval-enhanced tabular anomaly detection
Seungwon | Knowledge graph for/from large language models
Wonjun | Large language model to perceive, memorize, and act

Hyeongu | Keyword extraction with multi-granular topic saliency
Jeehyo | Textual and visual understanding of Organ-on-a-Chip research
Huijeong | Continual retrieval on dynamic streaming corpora
Minhyeok | Query-to-columns for human-like table retrieval system
Woojun | Dynamic exploitation of tabular data by leveraging semi-structured knowledge
Yeonwoo | InterCellFormer: leveraging intra-column relationships for enhanced table understanding
Yebin | Towards robust feature engineering with large language models
Jiyun | Interpretable prototype: a bridge from text to time-series for LLM
Hyunwoong | Dissecting dependencies in multi-channel time series forecasting
Yoonhwan | Spatio-temporal prediction with graph neural network
Sunho | Look-ahead augmentation for time-series forecasting
Juhyeong | Recent trends and frontiers of online deep anomaly detection
Yukyung | [Invited Talk] Towards goal-oriented language intelligence with robust evaluation