Multimodal recommender systems: A survey Q Liu, J Hu, Y Xiao, J Gao, X Zhao arXiv preprint arXiv:2302.03883, 2023 | 19 | 2023 |
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 arXiv preprint arXiv:2402.11463, 2024 | 2 | 2024 |
Deep neural networks for Chinese traditional landscape painting creation X Yang, J Hu 2nd International Conference on Artificial Intelligence, Automation, and …, 2022 | 1 | 2022 |
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 | | 2024 |
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 | | 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 | | 2024 |