Changhua Pei

What is the right direction for time series anomaly detection benchmarking: evidence from evaluation of linear models

Robust Time Series Forecasting via Basis-Aligned Sampling in Decycled Residual Space

TimeSense: Making Large Language Models Proficient in Time‑Series Analysis

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