| Language models can improve event prediction by few-shot abductive reasoning X Shi, S Xue, K Wang, F Zhou, J Zhang, J Zhou, C Tan, H Mei Advances in Neural Information Processing Systems 36, 2024 | 14 | 2024 |
| Embedding symbolic temporal knowledge into deep sequential models Y Xie, F Zhou, H Soh 2021 IEEE International Conference on Robotics and Automation (ICRA), 4267-4273, 2021 | 14 | 2021 |
| Easytpp: Towards open benchmarking the temporal point processes S Xue, X Shi, Z Chu, Y Wang, F Zhou, H Hao, C Jiang, C Pan, Y Xu, ... arXiv preprint arXiv:2307.08097, 2023 | 12 | 2023 |
| Relational state-space model for stochastic multi-object systems F Yang, L Chen, F Zhou, Y Gao, W Cao arXiv preprint arXiv:2001.04050, 2020 | 8 | 2020 |
| Weaverbird: Empowering financial decision-making with large language model, knowledge base, and search engine S Xue, F Zhou, Y Xu, H Zhao, S Xie, C Jiang, J Zhang, J Zhou, P Xu, D Xiu, ... arXiv preprint arXiv:2308.05361, 2023 | 7 | 2023 |
| End-to-end modeling of hierarchical time series using autoregressive transformer and conditional normalizing flow-based reconciliation S Wang, F Zhou, Y Sun, L Ma, J Zhang, Y Zheng 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1087-1094, 2022 | 6 | 2022 |
| Db-gpt: Empowering database interactions with private large language models S Xue, C Jiang, W Shi, F Cheng, K Chen, H Yang, Z Zhang, J He, ... arXiv preprint arXiv:2312.17449, 2023 | 5 | 2023 |
| SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies F Zhou, C Pan, L Ma, Y Liu, S Wang, J Zhang, X Zhu, X Hu, Y Hu, Y Zheng, ... AAAI 2023, 2023 | 2 | 2023 |
| Deep optimal timing strategies for time series C Pan, F Zhou, X Hu, X Zhu, W Ning, Z Zhuang, S Xue, J Zhang, Y Hu arXiv preprint arXiv:2310.05479, 2023 | 1 | 2023 |
| Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models S Xue, D Qi, C Jiang, W Shi, F Cheng, K Chen, H Yang, Z Zhang, J He, ... arXiv preprint arXiv:2404.10209, 2024 | | 2024 |
| GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting F Zhou, C Pan, L Ma, Y Liu, S Xue, J Zhang, J Zhou, H Mei, W Lin, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9414-9421, 2024 | | 2024 |
| Continuous Invariance Learning Y Lin, F Zhou, L Tan, L Ma, J Liu, Y He, Y Yuan, Y Liu, J Zhang, Y Yang, ... arXiv preprint arXiv:2310.05348, 2023 | | 2023 |
| Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation S Wang, Y Sun, Y Wang, F Zhou, LT Ma, J Zhang, YF Zheng International Conference on Database Systems for Advanced Applications, 167-176, 2023 | | 2023 |
