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Toward Robust Anomaly Detection with Time-Series Foundation Models: Improving Anomaly Separability through Provable Mean Separation and Variance Reduction

Meta-Path-Based Graph-Level Representation Learning for Heterogeneous Graph Classification

Strategic Utilization of White Noise to Enhance the Stability and Performance of LLM-RAG Systems

LLM and KG based App Recommendation in New Environment and an App Log Simulator for User Data Free

Time Series Dataset Representation for Foundation Model by Using Graph

Customer Journey Prediction with Context-based Penalty under Imbalanced and Unlabeled Data

Robust Portfolio Optimization using Sentiment-based Uncertainty Sets

Robust Input Sampling Strategies for Stochastic Simulations with Uncertain Input Model

Missing Value Imputation and Forecasting Algorithms for Electric Load Data with Multi-cluster and Mixture Time Series Models

Building Evacuation Planning Algorithms considering Network Congestion and Human Behavior

Resource Management in Data Centers for Energy-Efficiency, Time-Stable Performance, and Quality-of-Service

Condition-based Selective Maintenance Optimization for a Large-scale Non-Markovian System

A Markov Chain Analysis of State Transitions of Chronic Diseases using Medical Checkup Data