| Learning the joint representation of heterogeneous temporal events for clinical endpoint prediction L Liu, J Shen, M Zhang, Z Wang, J Tang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 53 | 2018 |
| Learning hierarchical representations of electronic health records for clinical outcome prediction L Liu, H Li, Z Hu, H Shi, Z Wang, J Tang, M Zhang AMIA Annual Symposium Proceedings 2019, 597, 2019 | 32 | 2019 |
| Syntax aware LSTM model for semantic role labeling F Qian, L Sha, B Chang, L Liu, M Zhang Proceedings of the 2nd Workshop on Structured Prediction for Natural …, 2017 | 30 | 2017 |
| Multi-task learning via adaptation to similar tasks for mortality prediction of diverse rare diseases L Liu, Z Liu, H Wu, Z Wang, J Shen, Y Song, M Zhang AMIA Annual Symposium Proceedings 2020, 763, 2020 | 24 | 2020 |
| Self-supervised graph-level representation learning with adversarial contrastive learning X Luo, W Ju, Y Gu, Z Mao, L Liu, Y Yuan, M Zhang ACM Transactions on Knowledge Discovery from Data 18 (2), 1-23, 2023 | 19 | 2023 |
| Redundancy-free self-supervised relational learning for graph clustering S Yi, W Ju, Y Qin, X Luo, L Liu, Y Zhou, M Zhang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 14 | 2023 |
| Zero-shot node classification with graph contrastive embedding network W Ju, Y Qin, S Yi, Z Mao, K Zheng, L Liu, X Luo, M Zhang Transactions on Machine Learning Research, 2023 | 11 | 2023 |
| Early prediction of sepsis from clinical data via heterogeneous event aggregation L Liu, H Wu, Z Wang, Z Liu, M Zhang 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 11 | 2019 |
| Toward effective semi-supervised node classification with hybrid curriculum pseudo-labeling X Luo, W Ju, Y Gu, Y Qin, S Yi, D Wu, L Liu, M Zhang ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2023 | 8 | 2023 |
| Criterion-based heterogeneous collaborative filtering for multi-behavior implicit recommendation X Luo, D Wu, Y Gu, C Chen, L Liu, J Ma, M Zhang, M Deng, J Huang, ... ACM Transactions on Knowledge Discovery from Data 18 (1), 1-26, 2023 | 7 | 2023 |
| Building conversational diagnosis systems for fine-grained diseases using few annotated data Y Song, W Ju, Z Tian, L Liu, M Zhang, Z Xie International Conference on Neural Information Processing, 591-603, 2022 | 5 | 2022 |
| Towards long-tailed recognition for graph classification via collaborative experts SY Yi, Z Mao, W Ju, YD Zhou, L Liu, X Luo, M Zhang IEEE Transactions on Big Data, 2023 | 4 | 2023 |
| Predictive multi-level patient representations from electronic health records Z Wang, H Li, L Liu, H Wu, M Zhang 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 4 | 2019 |
| Topic medical concept embedding: Multi-sense representation learning for medical concept F Qian, C Gong, L Liu, L Sha, M Zhang 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 4 | 2017 |
| Syntax aware lstm model for chinese semantic role labeling F Qian, L Sha, B Chang, L Liu, M Zhang arXiv preprint arXiv:1704.00405, 2017 | 4 | 2017 |
| Focus on informative graphs! Semi-supervised active learning for graph-level classification W Ju, Z Mao, Z Qiao, Y Qin, S Yi, Z Xiao, X Luo, Y Fu, M Zhang Pattern Recognition 153, 110567, 2024 | 2 | 2024 |
| Retrieval bias aware ensemble model for conditional sentence generation Y Song, Z Xie, J Li, L Liu, M Zhang, Z Tian ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 2 | 2022 |
Ming Zhang（张铭）Professor,Peking University在 pku.edu.cn 的电子邮件经过验证
