| Timemae: Self-supervised representations of time series with decoupled masked autoencoders M Cheng, Q Liu, Z Liu, H Zhang, R Zhang, E Chen arXiv preprint arXiv:2303.00320, 2023 | 51 | 2023 |
| Adaptive normalization for non-stationary time series forecasting: A temporal slice perspective Z Liu, M Cheng, Z Li, Z Huang, Q Liu, Y Xie, E Chen Advances in Neural Information Processing Systems 36, 2024 | 43 | 2024 |
| Formertime: Hierarchical multi-scale representations for multivariate time series classification M Cheng, Q Liu, Z Liu, Z Li, Y Luo, E Chen Proceedings of the ACM Web Conference 2023, 1437-1445, 2023 | 36 | 2023 |
| Towards automatic discovering of deep hybrid network architecture for sequential recommendation M Cheng, Z Liu, Q Liu, S Ge, E Chen Proceedings of the ACM Web Conference 2022, 1923-1932, 2022 | 26 | 2022 |
| Generative pretrained hierarchical transformer for time series forecasting Z Liu, J Yang, M Cheng, Y Luo, Z Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 13 | 2024 |
| One person, one model—learning compound router for sequential recommendation Z Liu, M Cheng, Z Li, Q Liu, E Chen 2022 IEEE International Conference on Data Mining (ICDM), 289-298, 2022 | 12 | 2022 |
| A general tail item representation enhancement framework for sequential recommendation M Cheng, Q Liu, W Zhang, Z Liu, H Zhao, E Chen Frontiers of Computer Science 18 (6), 186333, 2024 | 7 | 2024 |
| Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems G Zhao, Z Huang, Y Zhuang, J Liu, Q Liu, Z Liu, J Wu, E Chen Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling J Jiang, S Qu, M Cheng, Q Liu, Z Liu, H Zhang, R Zhang, K Zhang, R Li, ... International Conference on Database Systems for Advanced Applications, 353-362, 2024 | 4 | 2024 |
| Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems H Zhang, M Cheng, Q Liu, Z Liu, E Chen arXiv preprint arXiv:2311.00388, 2023 | 2 | 2023 |
| DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting Z Liu, J Yang, Q Mao, Y Zhao, M Cheng, Z Li, Q Liu, E Chen arXiv preprint arXiv:2410.22981, 2024 | | 2024 |
| Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information R Zhang, H Zhang, Y Luo, Z Liu, M Cheng, Q Liu, E Chen Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
Mingyue Cheng 程明月University of Science and Technology of ChinaVerified email at ustc.edu.cn