| Empowering time series analysis with large language models: A survey Y Jiang, Z Pan, X Zhang, S Garg, A Schneider, Y Nevmyvaka, D Song arXiv preprint arXiv:2402.03182, 2024 | 38 | 2024 |
| IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting Z Pan, Y Jiang, S Garg, A Schneider, Y Nevmyvaka, D Song Forty-first International Conference on Machine Learning, 2024 | 34 | 2024 |
| Tutorials at the web conference 2023 V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ... Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023 | 7 | 2023 |
| Structural knowledge informed continual multivariate time series forecasting Z Pan, Y Jiang, D Song, S Garg, K Rasul, A Schneider, Y Nevmyvaka arXiv preprint arXiv:2402.12722, 2024 | 4 | 2024 |
| Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements J Zhao, Z Meng, S Gordeev, Z Pan, D Song, S Steinbach, C Ding arXiv preprint arXiv:2401.12520, 2024 | 1 | 2024 |
| International Trade Flow Prediction with Bilateral Trade Provisions Z Pan, S Gordeev, J Zhao, Z Meng, C Ding, S Steinbach, D Song arXiv preprint arXiv:2407.13698, 2024 | | 2024 |
| Structural Knowledge Informed Continual Learning for Multivariate Time Series Forecasting Z Pan, Y Jiang, D Song, S Garg, K Rasul, A Schneider, Y Nevmyvaka | | |
