| Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection X Li, W Wang, L Wu, S Chen, X Hu, J Li, J Tang, J Yang Advances in Neural Information Processing Systems 33, 21002-21012, 2020 | 780 | 2020 |
| Pelee: A real-time object detection system on mobile devices RJ Wang, X Li, CX Ling Advances in neural information processing systems 31, 2018 | 598 | 2018 |
| Learning tree-based deep model for recommender systems H Zhu, X Li, P Zhang, G Li, J He, H Li, K Gai Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 265 | 2018 |
| Joint task-recursive learning for semantic segmentation and depth estimation Z Zhang, Z Cui, C Xu, Z Jie, X Li, J Yang Proceedings of the European Conference on Computer Vision (ECCV), 235-251, 2018 | 220 | 2018 |
| Fast generalized distillation for semi-supervised domain adaptation S Ao, X Li, C Ling Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 74 | 2017 |
| Federated doubly stochastic kernel learning for vertically partitioned data B Gu, Z Dang, X Li, H Huang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 62 | 2020 |
| Stalematebreaker: A proactive content-introducing approach to automatic human-computer conversation X Li, L Mou, R Yan, M Zhang arXiv preprint arXiv:1604.04358, 2016 | 50 | 2016 |
| Mining software profile across multiple repositories for hierarchical categorization T Wang, H Wang, G Yin, CX Ling, X Li, P Zou 2013 IEEE International Conference on Software Maintenance, 240-249, 2013 | 47 | 2013 |
| Service recommendation in an evolving ecosystem: A link prediction approach K Huang, Y Fan, W Tan, X Li 2013 IEEE 20th International Conference on Web Services, 507-514, 2013 | 38 | 2013 |
| Labeled topic detection of open source software from mining mass textual project profiles T Wang, G Yin, X Li, H Wang Proceedings of the First International Workshop on Software Mining, 17-24, 2012 | 34 | 2012 |
| The convergence behavior of naive Bayes on large sparse datasets X Li, CX Ling, H Wang ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (1), 1-24, 2016 | 30 | 2016 |
| The Convergence Behavior of Naive Bayes on Large Sparse Datasets X Li, CX Ling, H Wang ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (1), 10, 2016 | 30 | 2016 |
| Inducing taxonomy from tags: An agglomerative hierarchical clustering framework X Li, H Wang, G Yin, T Wang, C Yang, Y Yu, D Tang Advanced Data Mining and Applications: 8th International Conference, ADMA …, 2012 | 25 | 2012 |
| Large-scale nonlinear AUC maximization via triply stochastic gradients Z Dang, X Li, B Gu, C Deng, H Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1385-1398, 2020 | 21 | 2020 |
| TRUSTIE: a software development platform for crowdsourcing H Wang, G Yin, X Li, X Li Crowdsourcing: Cloud-Based Software Development, 165-190, 2015 | 20 | 2015 |
| Safe sample screening for robust support vector machine Z Zhai, B Gu, X Li, H Huang Proceedings of the AAAI conference on artificial intelligence 34 (04), 6981-6988, 2020 | 18 | 2020 |
| Data Sparseness in Linear SVM X Li, H Wang, B Gu, CX Ling IJCAI 2015, 3628-3634, 2015 | 18 | 2015 |
| Semi-supervised multi-label learning from crowds via deep sequential generative model W Shi, VS Sheng, X Li, B Gu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 15 | 2020 |
| Quadruply stochastic gradient method for large scale nonlinear semi-supervised ordinal regression AUC optimization W Shi, B Gu, X Li, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5734-5741, 2020 | 14 | 2020 |
| Triply Stochastic Gradients on Multiple Kernel Learning X Li, B Gu, S Ao, H Wang, CX Ling Proceedings of the Thirty-Third Conference on Uncertainty in Artificial …, 2017 | 14 | 2017 |
Charles X. LingProfessor of Computer Science, University of Western OntarioVerified email at csd.uwo.ca
