Detecting and Ranking Causal Anomalies in End-to-End Complex System. - Ching Chang 001; Cheng-Han Yeh; Wen-Chih Peng (CoRR, 2023)

LLM4TS: Two-Stage Fine-Tuning for Time-Series Forecasting with Pre-Trained LLMs. - Ching Chang 001; Wen-Chih Peng; Tien-Fu Chen (CoRR, 2023)

Root Cause Analysis in Microservice Using Neural Granger Causal Discovery. - Cheng-Ming Lin; Ching Chang 001; Wei-Yao Wang; Kuang-Da Wang; Wen-Chih Peng (AAAI, 2024)

COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data. - Ting-Yun Ou; Ching Chang 001; Wen-Chih Peng (CIKM, 2024)

TimeDRL: Disentangled Representation Learning for Multivariate Time-Series. - Ching Chang 001; Chiao-Tung Chan; Wei-Yao Wang; Wen-Chih Peng; Tien-Fu Chen (ICDE, 2024)

LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters. - Ching Chang 001; Wei-Yao Wang; Wen-Chih Peng; Tien-Fu Chen (ACM Trans. Intell. Syst. Technol., 2025)