| A comprehensive survey on multi-view clustering U Fang, M Li, J Li, L Gao, T Jia, Y Zhang IEEE Transactions on Knowledge and Data Engineering 35 (12), 12350-12368, 2023 | 317 | 2023 |
| Interpretable and efficient heterogeneous graph convolutional network Y Yang, Z Guan, J Li, W Zhao, J Cui, Q Wang IEEE Transactions on Knowledge and Data Engineering 35 (2), 1637-1650, 2021 | 317 | 2021 |
| Dynamic network embedding survey G Xue, M Zhong, J Li, J Chen, C Zhai, R Kong Neurocomputing 472, 212-223, 2022 | 267 | 2022 |
| Bi-CLKT: Bi-graph contrastive learning based knowledge tracing X Song, J Li, Q Lei, W Zhao, Y Chen, A Mian Knowledge-Based Systems 241, 108274, 2022 | 262 | 2022 |
| Community-diversified influence maximization in social networks J Li, T Cai, K Deng, X Wang, T Sellis, F Xia Information Systems 92, 101522, 2020 | 259 | 2020 |
| Jkt: A joint graph convolutional network based deep knowledge tracing X Song, J Li, Y Tang, T Zhao, Y Chen, Z Guan Information Sciences 580, 510-523, 2021 | 215 | 2021 |
| Target-aware holistic influence maximization in spatial social networks T Cai, J Li, A Mian, RH Li, T Sellis, JX Yu IEEE Transactions on Knowledge and Data Engineering 34 (4), 1993-2007, 2020 | 205 | 2020 |
| Temporal knowledge graph completion: A survey B Cai, Y Xiang, L Gao, H Zhang, Y Li, J Li arXiv preprint arXiv:2201.08236, 2022 | 185 | 2022 |
| Exploring human mobility patterns in urban scenarios: A trajectory data perspective F Xia, J Wang, X Kong, Z Wang, J Li, C Liu IEEE Communications Magazine 56 (3), 142-149, 2018 | 176 | 2018 |
| Detecting topic and sentiment dynamics due to COVID-19 pandemic using social media H Yin, S Yang, J Li International conference on advanced data mining and applications, 610-623, 2020 | 162 | 2020 |
| A survey on deep learning based knowledge tracing X Song, J Li, T Cai, S Yang, T Yang, C Liu Knowledge-Based Systems 258, 110036, 2022 | 160 | 2022 |
| Machine-learning-assisted shear strength prediction of reinforced concrete beams with and without stirrups J Zhang, Y Sun, G Li, Y Wang, J Sun, J Li Engineering with Computers 38 (2), 1293-1307, 2022 | 159 | 2022 |
| Sentiment analysis and topic modeling for COVID-19 vaccine discussions H Yin, X Song, S Yang, J Li World Wide Web 25 (3), 1067-1083, 2022 | 146 | 2022 |
| Finding maximal k-edge-connected subgraphs from a large graph R Zhou, C Liu, JX Yu, W Liang, B Chen, J Li Proceedings of the 15th international conference on extending database …, 2012 | 142 | 2012 |
| Maximum co-located community search in large scale social networks L Chen, C Liu, R Zhou, J Li, X Yang, B Wang Proceedings of the VLDB Endowment 11 (10), 1233-1246, 2018 | 129 | 2018 |
| Most influential community search over large social networks J Li, X Wang, K Deng, X Yang, T Sellis, JX Yu 2017 IEEE 33rd international conference on data engineering (ICDE), 871-882, 2017 | 125 | 2017 |
| GNN-based long and short term preference modeling for next-location prediction J Liu, Y Chen, X Huang, J Li, G Min Information Sciences 629, 1-14, 2023 | 124 | 2023 |
| Deep attributed network representation learning of complex coupling and interaction Z Li, X Wang, J Li, Q Zhang Knowledge-Based Systems 212, 106618, 2021 | 115 | 2021 |
| LSFL: A lightweight and secure federated learning scheme for edge computing Z Zhang, L Wu, C Ma, J Li, J Wang, Q Wang, S Yu IEEE Transactions on Information Forensics and Security 18, 365-379, 2022 | 112 | 2022 |
| Machine learning-aided design and prediction of cementitious composites containing graphite and slag powder J Sun, Y Ma, J Li, J Zhang, Z Ren, X Wang Journal of Building Engineering 43, 102544, 2021 | 109 | 2021 |
Chengfei LiuSwinburne University of TechnologyVerified email at swin.edu.au
