Multimodal recommender systems: A survey Q Liu*, J Hu*, Y Xiao*, X Zhao, J Gao, W Wang, Q Li, J Tang ACM Computing Surveys 57 (2), 1-17, 2024 | 50 | 2024 |
Attractor memory for long-term time series forecasting: A chaos perspective J Hu, Y Hu, W Chen, M Jin, S Pan, Q Wen, Y Liang NeurIPS 2024, 2024 | 8 | 2024 |
Deep neural networks for Chinese traditional landscape painting creation X Yang, J Hu AIAHPC 2022 12348, 1025-1033, 2022 | 3 | 2022 |
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting J Hu, D Lan, Z Zhou, Q Wen, Y Liang arXiv preprint arXiv:2405.16312, 2024 | 2 | 2024 |
Toward Physics-guided Time Series Embedding J Hu, B Zhang, Q Wen, F Tsung, Y Liang arXiv preprint arXiv:2410.06651, 2024 | 1 | 2024 |
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting J Hu, Q Wen, S Ruan, L Liu, Y Liang arXiv preprint arXiv:2406.03710, 2024 | 1 | 2024 |
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation J Hu, J Gao, X Zhao, Y Hu, Y Liang, Y Wang, M He, Z Liu, H Yin arXiv preprint arXiv:2402.17334, 2024 | 1 | 2024 |