| Aligning Users across Social Networks Using Network Embedding. L Liu, WK Cheung, X Li, L Liao Ijcai 16, 1774-80, 2016 | 356 | 2016 |
| A vectorized relational graph convolutional network for multi-relational network alignment. R Ye, X Li, Y Fang, H Zang, M Wang IJCAI 2019, 4135-4141, 2019 | 234 | 2019 |
| Inferring a personalized next point-of-interest recommendation model with latent behavior patterns J He, X Li, L Liao, D Song, W Cheung Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 216 | 2016 |
| On improving deep reinforcement learning for pomdps P Zhu, X Li, P Poupart, G Miao arXiv preprint arXiv:1704.07978, 2017 | 173 | 2017 |
| Protein classification with imbalanced data XM Zhao, X Li, L Chen, K Aihara Proteins: Structure, function, and bioinformatics 70 (4), 1125-1132, 2008 | 172 | 2008 |
| Category-aware next point-of-interest recommendation via listwise Bayesian personalized ranking. J He, X Li, L Liao IJCAI 17, 1837-1843, 2017 | 124 | 2017 |
| Hierarchical routing for vehicular ad hoc networks via reinforcement learning F Li, X Song, H Chen, X Li, Y Wang IEEE Transactions on Vehicular Technology 68 (2), 1852-1865, 2018 | 102 | 2018 |
| A time-aware personalized point-of-interest recommendation via high-order tensor factorization X Li, M Jiang, H Hong, L Liao ACM Transactions on Information Systems (TOIS) 35 (4), 1-23, 2017 | 102 | 2017 |
| Structural representation learning for user alignment across social networks L Liu, X Li, WK Cheung, L Liao IEEE Transactions on Knowledge and Data Engineering 32 (9), 1824-1837, 2019 | 56 | 2019 |
| QGrid: Q-learning based routing protocol for vehicular ad hoc networks R Li, F Li, X Li, Y Wang 2014 IEEE 33rd international performance computing and communications …, 2014 | 53 | 2014 |
| The author-topic-community model for author interest profiling and community discovery C Li, WK Cheung, Y Ye, X Zhang, D Chu, X Li Knowledge and Information Systems 44, 359-383, 2015 | 51 | 2015 |
| Next and next new POI recommendation via latent behavior pattern inference X Li, D Han, J He, L Liao, M Wang ACM Transactions on Information Systems (TOIS) 37 (4), 1-28, 2019 | 47 | 2019 |
| Cha: Categorical hierarchy-based attention for next poi recommendation H Zang, D Han, X Li, Z Wan, M Wang ACM Transactions on Information Systems (TOIS) 40 (1), 1-22, 2021 | 37 | 2021 |
| Zero-to-stable driver identification: A non-intrusive and scalable driver identification scheme MA Rahim, L Zhu, X Li, J Liu, Z Zhang, Z Qin, S Khan, K Gai IEEE transactions on vehicular technology 69 (1), 163-171, 2019 | 37 | 2019 |
| GANE: A generative adversarial network embedding H Hong, X Li, M Wang IEEE transactions on neural networks and learning systems 31 (7), 2325-2335, 2019 | 36 | 2019 |
| Domain-adversarial network alignment H Hong, X Li, Y Pan, IW Tsang IEEE Transactions on Knowledge and Data Engineering 34 (7), 3211-3224, 2020 | 35 | 2020 |
| Effective successive POI recommendation inferred with individual behavior and group preference J Chen, X Li, WK Cheung, K Li Neurocomputing 210, 174-184, 2016 | 35 | 2016 |
| A novel orthogonal NMF-based belief compression for POMDPs X Li, WKW Cheung, J Liu, Z Wu Proceedings of the 24th international conference on Machine learning, 537-544, 2007 | 34 | 2007 |
| Crowdsourcing incentives for multi-hop urban parcel delivery network H Hong, X Li, D He, Y Zhang, M Wang IEEE Access 7, 26268-26277, 2019 | 33 | 2019 |
| Artificial intelligence scientific documentation dataset for recommender systems F Ortega, J Bobadilla, A Gutiérrez, R Hurtado, X Li IEEE access 6, 48543-48555, 2018 | 33 | 2018 |