| Deeper insights into graph convolutional networks for semi-supervised learning Q Li, Z Han, XM Wu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 2026 | 2018 |
| Attributed graph clustering via adaptive graph convolution X Zhang, H Liu, Q Li, XM Wu arXiv preprint arXiv:1906.01210, 2019 | 193 | 2019 |
| Label efficient semi-supervised learning via graph filtering Q Li, XM Wu, H Liu, X Zhang, Z Guan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 164 | 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 Proceedings of the 58th annual meeting of the association for computational …, 2020 | 55 | 2020 |
| Reconstructing capsule networks for zero-shot intent classification H Liu, X Zhang, L Fan, X Fu, Q Li, XM Wu, AYS Lam Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 34 | 2019 |
| Large margin few-shot learning Y Wang, XM Wu, Q Li, J Gu, W Xiang, L Zhang, VOK Li arXiv preprint arXiv:1807.02872, 2018 | 32 | 2018 |
| A closer look at the training strategy for modern meta-learning J Chen, XM Wu, Y Li, Q Li, LM Zhan, F Chung Advances in Neural Information Processing Systems 33, 396-406, 2020 | 22 | 2020 |
| Dimensionwise separable 2-D graph convolution for unsupervised and semi-supervised learning on graphs Q Li, X Zhang, H Liu, Q Dai, XM Wu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 13* | 2021 |
| Large margin meta-learning for few-shot classification Y Wang, XM Wu, Q Li, J Gu, W Xiang, L Zhang, VOK Li Workshop on Meta-Learning (MetaLearn 2018)@ NeurIPS 2018, 2018 | 11 | 2018 |
| 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 | 5 | 2022 |
| Modeling User Behavior with Graph Convolution for Personalized Product Search L Fan, Q Li, B Liu, XM Wu, X Zhang, F Lv, G Lin, S Li, T Jin, K Yang Proceedings of the ACM Web Conference 2022, 203-212, 2022 | 4 | 2022 |
| RPC: Representative possible world based consistent clustering algorithm for uncertain data H Liu, X Zhang, X Zhang, Q Li, XM Wu Computer Communications 176, 128-137, 2021 | 4 | 2021 |
| Clustering uncertain data via representative possible worlds with consistency learning H Liu, X Zhang, X Zhang, Q Li, XM Wu arXiv preprint arXiv:1909.12514, 2019 | 2 | 2019 |
| Modeling User Behavior with Graph Convolution for Personalized Product Search F Lu, Q Li, B Liu, XM Wu, X Zhang, F Lv, G Lin, S Li, T Jin, K Yang arXiv preprint arXiv:2202.06081, 2022 | | 2022 |
Xiao-Ming WuAssociate Professor, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
