| Semi-supervisedly co-embedding attributed networks Z Meng, S Liang, J Fang, T Xiao Advances in neural information processing systems 32, 2019 | 32 | 2019 |
| Variational continual bayesian meta-learning Q Zhang, J Fang, Z Meng, S Liang, E Yilmaz Advances in Neural Information Processing Systems 34, 24556-24568, 2021 | 20 | 2021 |
| Gaussian process with graph convolutional kernel for relational learning J Fang, S Liang, Z Meng, Q Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 12 | 2021 |
| Multi-relational graph representation learning with bayesian gaussian process network G Chen, J Fang, Z Meng, Q Zhang, S Liang Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5530-5538, 2022 | 11 | 2022 |
| Knowledge graph embedding: A survey from the perspective of representation spaces J Cao, J Fang, Z Meng, S Liang ACM Computing Surveys 56 (6), 1-42, 2024 | 9 | 2024 |
| Adaptive compositional continual meta-learning B Wu, J Fang, X Zeng, S Liang, Q Zhang International Conference on Machine Learning, 37358-37378, 2023 | 8 | 2023 |
| MANNER: A variational memory-augmented model for cross domain few-shot named entity recognition J Fang, X Wang, Z Meng, P Xie, F Huang, Y Jiang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 7 | 2023 |
| Structure-aware random fourier kernel for graphs J Fang, Q Zhang, Z Meng, S Liang Advances in Neural Information Processing Systems 34, 17681-17694, 2021 | 7 | 2021 |
| Hyperspherical variational co-embedding for attributed networks J Fang, S Liang, Z Meng, M De Rijke ACM Transactions on Information Systems (TOIS) 40 (3), 1-36, 2021 | 6 | 2021 |
| Enhancing conversational recommendation systems with representation fusion Y Wang, X Chen, J Fang, Z Meng, S Liang ACM Transactions on the Web 17 (1), 1-34, 2023 | 3 | 2023 |
| Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations X Chen, Y Wang, J Fang, Z Meng, S Liang IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 | 1 | 2023 |
| KGPR: Knowledge Graph Enhanced Passage Ranking J Fang, Z Meng, C Macdonald Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| Enhancing Late Interaction with Informative Entities for Passage Retrieval J Fang, Z Meng, C Macdonald | | 2024 |
| Meta-Knowledge Extraction: Uncertainty-Aware Prompted Meta-Learning B Wu, J Fang, X Zhuang, Z Jian, Y Wei, Q Zhang | | 2023 |
| CacheGNN: Enhancing Graph Neural Networks with Global Information Caching R Zeng, J Fang, Z Meng, S Liang | | 2022 |
