SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling J Dong, H Wu, H Zhang, L Zhang, J Wang, M Long Neural Information Processing Systems (NeurIPS Spotlight), 2023 | 101 | 2023 |
Timexer: Empowering transformers for time series forecasting with exogenous variables Y Wang, H Wu, J Dong, Y Liu, Y Qiu, H Zhang, J Wang, M Long Neural Information Processing Systems (NeurIPS), 2024 | 34 | 2024 |
Deep time series models: A comprehensive survey and benchmark Y Wang, H Wu, J Dong, Y Liu, M Long, J Wang arXiv preprint arXiv:2407.13278, 2024 | 30 | 2024 |
Visual Data Analysis with Task-Based Recommendations L Shen, E Shen, Z Tai, Y Xu, J Dong, J Wang Data Science and Engineering (DSE) 7 (4), 354-369, 2022 | 21 | 2022 |
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling J Dong, H Wu, Y Wang, Y Qiu, L Zhang, J Wang, M Long International Conference on Machine Learning (ICML), 2024 | 11 | 2024 |
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting J Zhong, X Guo, J Dong, M Long Neural Information Processing Systems (NeurIPS), 2024 | 2 | 2024 |
Pitr: An efficient single-failure recovery scheme for pit-coded cloud storage systems P Li, J Dong, X Liu, G Wang, Z Li, X Liu Symposium on Reliable Distributed Systems (SRDS), 2017 | 2 | 2017 |
Multibox Sample Selection for Active Object Detection J Dong, L Zhang International Conference on Multimedia and Expo (ICME Oral), 2023 | 1 | 2023 |
Metadata Matters for Time Series: Informative Forecasting with Transformers J Dong, H Wu, Y Wang, L Zhang, J Wang, M Long arXiv preprint arXiv:2410.03806, 2024 | | 2024 |