Gaogang Xie

KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks

CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations

OpsEval: A Comprehensive Benchmark Suite for Evaluating Large Language Models’ Capability in IT Operations Domain

Dealing with Frequency Collapse in Time Series Embeddings by Post-Embedding reMapping

Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis

A Novel Kernel Sparse Coding Method with A Two-stage Acceleration Strategy

HDDI: A Historical Data-Based Diffusion Imputation Method for High-Accuracy Recovery in Multivariate Time Series with High Missing Rate and Long-Term Gap

A Multi-Decomposition Method for Compressing Larger AI Models Based on Reinforcement Learning

AFFS: Adaptive Fast Frequency Selection Algorithm for Deep Learning Feature Extraction