| Neurjudge: A circumstance-aware neural framework for legal judgment prediction L Yue, Q Liu, B Jin, H Wu, K Zhang, Y An, M Cheng, B Yin, D Wu Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 86 | 2021 |
| Transrec: Learning transferable recommendation from mixture-of-modality feedback J Wang, F Yuan, M Cheng, JM Jose, C Yu, B Kong, Z Wang, B Hu, Z Li Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2024 | 58 | 2024 |
| 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 |
| Exploring adapter-based transfer learning for recommender systems: Empirical studies and practical insights J Fu, F Yuan, Y Song, Z Yuan, M Cheng, S Cheng, J Zhang, J Wang, ... Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 49 | 2024 |
| Learning transferable user representations with sequential behaviors via contrastive pre-training M Cheng, F Yuan, Q Liu, X Xin, E Chen 2021 IEEE International Conference on Data Mining (ICDM), 51-60, 2021 | 48 | 2021 |
| 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 |
| Collaborative list-and-pairwise filtering from implicit feedback R Yu, Q Liu, Y Ye, M Cheng, E Chen, J Ma IEEE Transactions on Knowledge and Data Engineering 34 (6), 2667-2680, 2020 | 33 | 2020 |
| 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 |
| Learning recommender systems with implicit feedback via soft target enhancement M Cheng, F Yuan, Q Liu, S Ge, Z Li, R Yu, D Lian, S Yuan, E Chen Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 23 | 2021 |
| Convtimenet: A deep hierarchical fully convolutional model for multivariate time series analysis M Cheng, J Yang, T Pan, Q Liu, Z Li arXiv preprint arXiv:2403.01493, 2024 | 19 | 2024 |
| Graph adaptive semantic transfer for cross-domain sentiment classification K Zhang, Q Liu, Z Huang, M Cheng, K Zhang, M Zhang, W Wu, E Chen Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 15 | 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 |
| Unlocking the potential of large language models for explainable recommendations Y Luo, M Cheng, H Zhang, J Lu, E Chen International Conference on Database Systems for Advanced Applications, 286-303, 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 |
| Alpha-beta sampling for pairwise ranking in one-class collaborative filtering M Cheng, R Yu, Q Liu, VW Zheng, H Zhao, H Zhang, E Chen 2019 IEEE International Conference on Data Mining (ICDM), 1000-1005, 2019 | 12 | 2019 |
| Shapewordnet: An interpretable shapelet neural network for physiological signal classification W He, M Cheng, Q Liu, Z Li International Conference on Database Systems for Advanced Applications, 353-369, 2023 | 9 | 2023 |
| Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model M Cheng, X Tao, Q Liu, H Zhang, Y Chen, C Lei arXiv preprint arXiv:2403.12372, 2024 | 8 | 2024 |
| Advancing Time Series Classification with Multimodal Language Modeling M Cheng, Y Chen, Q Liu, Z Liu, Y Luo arXiv preprint arXiv:2403.12371, 2024 | 8 | 2024 |
| 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 |