| Attributed Graph Clustering via Adaptive Graph Convolution X Zhang, H Liu, Q Li, XM Wu IJCAI 2019, 2019 | 329 | 2019 |
| Label Efficient Semi-Supervised Learning via Graph Filtering Q Li, XM Wu, H Liu, X Zhang, Z Guan CVPR 2019, 9582-9591, 2019 | 214 | 2019 |
| Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification G Yan, L Fan, Q Li, H Liu, X Zhang, XM Wu, AYS Lam ACL 2020, 1050-1060, 2020 | 86 | 2020 |
| Multi-task multi-view clustering X Zhang, X Zhang, H Liu, X Liu IEEE Transactions on Knowledge and Data Engineering (TKDE) 28 (12), 3324-3338, 2016 | 83 | 2016 |
| Deep anomaly detection with self-supervised learning and adversarial training X Zhang, J Mu, X Zhang, H Liu, L Zong, Y Li Pattern Recognition (PR) 121, 108234, 2022 | 73 | 2022 |
| Spectral embedding network for attributed graph clustering X Zhang, H Liu, XM Wu, X Zhang, X Liu Neural Networks (NN), 2021 | 48 | 2021 |
| Multi-task multi-view clustering for non-negative data X Zhang, X Zhang, H Liu IJCAI 2015, 2015 | 47 | 2015 |
| Smart multitask Bregman clustering and multitask kernel clustering X Zhang, X Zhang, H Liu ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (1), 8, 2015 | 46 | 2015 |
| Reconstructing Capsule Networks for Zero-shot Intent Classification H Liu, X Zhang, L Fan, X Fu, Q Li, XM Wu, AYS Lam EMNLP 2019, 4801-4811, 2019 | 45 | 2019 |
| Novel density-based and hierarchical density-based clustering algorithms for uncertain data X Zhang, H Liu, X Zhang Neural Networks (NN) 93, 240-255, 2017 | 43 | 2017 |
| Self-Adapted Multi-Task Clustering. X Zhang, X Zhang, H Liu IJCAI 2016, 2357-2363, 2016 | 36 | 2016 |
| Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks Q Dai, XM Wu, L Fan, Q Li, H Liu, X Zhang, D Wang, G Lin, K Yang Pattern Recognition 128, 108628, 2022 | 33 | 2022 |
| Multi-task clustering through instances transfer X Zhang, X Zhang, H Liu, X Liu Neurocomputing 251, 145-155, 2017 | 28 | 2017 |
| Self-adapted mixture distance measure for clustering uncertain data H Liu, X Zhang, X Zhang, Y Cui Knowledge-Based Systems (KBS) 126, 33-47, 2017 | 27 | 2017 |
| Multi-Task Clustering with Model Relation Learning. X Zhang, X Zhang, H Liu, J Luo IJCAI 2018, 3132-3140, 2018 | 24 | 2018 |
| An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling H Liu, F Zhang, X Zhang, S Zhao, X Zhang EMNLP 2021, 1945-1955, 2021 | 22 | 2021 |
| Partially related multi-task clustering X Zhang, X Zhang, H Liu, X Liu IEEE Transactions on Knowledge and Data Engineering (TKDE) 30 (12), 2367-2380, 2018 | 21 | 2018 |
| Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection H Liu, F Zhang, X Zhang, S Zhao, J Sun, H Yu, X Zhang KDD 2022, 2022 | 20 | 2022 |
| PwAdaBoost: Possible world based AdaBoost algorithm for classifying uncertain data H Liu, X Zhang, X Zhang Knowledge-Based Systems (KBS), 104930, 2019 | 19 | 2019 |
| Possible world based consistency learning model for clustering and classifying uncertain data H Liu, X Zhang, X Zhang Neural Networks (NN) 102, 48-66, 2018 | 18 | 2018 |
Xiaotong ZhangDalian University of Technology在 dlut.edu.cn 的電子郵件地址已通過驗證
