| LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters C Chang, WY Wang, WC Peng, TF Chen ACM Transactions on Intelligent Systems and Technology (ACM TIST), This …, 2025 | 182* | 2025 |
| Root Cause Analysis In Microservice Using Neural Granger Causal Discovery CM Lin, C Chang, WY Wang, KD Wang, WC Peng Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 2024 | 13 | 2024 |
| TimeDRL: Disentangled Representation Learning for Multivariate Time-Series C Chang, CT Chan, WY Wang, WC Peng, TF Chen 40th IEEE International Conference on Data Engineering (ICDE-24), 2023 | 9 | 2023 |
| Align and Fine-Tune: Enhancing LLMs for Time-Series Forecasting C Chang, WY Wang, WC Peng, TF Chen, S Samtani NeurIPS Workshop on Time Series in the Age of Large Models, 2024 | 2 | 2024 |
| Text2Freq: Learning Series Patterns from Text via Frequency Domain MC Lo, C Chang, WC Peng NeurIPS Workshop on Time Series in the Age of Large Models, 2024 | | 2024 |
| Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series C Chang, CT Chan, WY Wang, WC Peng, TF Chen NeurIPS 2024 Workshop: Self-Supervised Learning - Theory and Practice, 2024 | | 2024 |
| COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data TY Ou, C Chang, WC Peng 33rd ACM International Conference on Information and Knowledge Management …, 2024 | | 2024 |
| Detecting and Ranking Causal Anomalies in End-to-End Complex System C Chang, WC Peng arXiv preprint arXiv:2301.07281, 2023 | | 2023 |
Wen-Chih PengNational Chiao Tung UniversityVerified email at cs.nctu.edu.tw
