| Learning representations for time series clustering Q Ma, J Zheng, S Li, GW Cottrell Advances in neural information processing systems 32, 2019 | 210 | 2019 |
| Multi-view denoising graph auto-encoders on heterogeneous information networks for cold-start recommendation J Zheng, Q Ma, H Gu, Z Zheng Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 51 | 2021 |
| Joint-label learning by dual augmentation for time series classification Q Ma, Z Zheng, J Zheng, S Li, W Zhuang, GW Cottrell Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8847-8855, 2021 | 15 | 2021 |
| MR-Transformer: Multiresolution Transformer for Multivariate Time Series Prediction S Zhu, J Zheng, Q Ma IEEE Transactions on Neural Networks and Learning Systems, 2023 | 4 | 2023 |
| Learning consensus representations in multi-latent spaces for multi-view clustering Q Ma, J Zheng, S Li, Z Zheng, GW Cottrell Neurocomputing, 127899, 2024 | | 2024 |
| Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat J Zheng, H Gu, C Song, D Lin, L Yi, C Chen Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| Supplementary Material: Learning Representations for Time Series Clustering Q Ma, J Zheng, S Li, GW Cottrell | | |
