| Kernel-based multilayer extreme learning machines for representation learning CM Wong, CM Vong, PK Wong, J Cao IEEE transactions on neural networks and learning systems 29 (3), 757-762, 2016 | 183 | 2016 |
| Global structure and local semantics-preserved embeddings for entity alignment H Nie, X Han, L Sun, CM Wong, Q Chen, S Wu, W Zhang Proceedings of the twenty-ninth international conference on international …, 2021 | 49 | 2021 |
| Postboosting using extended G-mean for online sequential multiclass imbalance learning CM Vong, J Du, CM Wong, JW Cao IEEE transactions on neural networks and learning systems 29 (12), 6163-6177, 2018 | 33 | 2018 |
| Improving conversational recommender system by pretraining billion-scale knowledge graph CM Wong, F Feng, W Zhang, CM Vong, H Chen, Y Zhang, P He, H Chen, ... 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2607-2612, 2021 | 29 | 2021 |
| Efficient extreme learning machine via very sparse random projection C Chen, CM Vong, CM Wong, W Wang, PK Wong Soft Computing 22, 3563-3574, 2018 | 25 | 2018 |
| Multinomial Bayesian extreme learning machine for sparse and accurate classification model J Luo, CM Wong, CM Vong Neurocomputing 423, 24-33, 2021 | 19 | 2021 |
| Billion-scale pre-trained e-commerce product knowledge graph model W Zhang, CM Wong, G Ye, B Wen, W Zhang, H Chen 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2476-2487, 2021 | 16 | 2021 |
| DAliM: Machine learning based intelligent lucky money determination for large-scale e-commerce businesses M Fu, CM Wong, H Zhu, Y Huang, Y Li, X Zheng, J Wu, J Yang, CM Vong Service-Oriented Computing: 16th International Conference, ICSOC 2018 …, 2018 | 10 | 2018 |
| Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors J Luo, Y Gan, CM Vong, CM Wong, C Chen Neurocomputing 457, 106-116, 2021 | 6 | 2021 |
| 大规模知识图谱预训练模型及电商应用 陈华钧， 张文， 黄志文， 叶橄强， 文博， 张伟 大数据 7 (3), 97-115, 2021 | 4 | 2021 |
| Improving knowledge graph representation learning by structure contextual pre-training G Ye, W Zhang, Z Bi, CM Wong, C Hui, H Chen Proceedings of the 10th International Joint Conference on Knowledge Graphs …, 2021 | 2 | 2021 |
| Pretrained e-commerce knowledge graph model for product classification CM Wong, CM Vong, Y Zhou International Conference on Extreme Learning Machine, 1-9, 2021 | 1 | 2021 |
| Sparse Bayesian Learning with Diagonal Quasi-Newton Method for Large Scale Classification J Luo, CM Vong, CM Wong, J Du arXiv e-prints, arXiv: 2107.08195, 2021 | 1 | 2021 |
| PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application W Zhang, CM Wong, G Ye, B Wen, H Zhou, W Zhang, H Chen arXiv preprint arXiv:2203.00964, 2022 | | 2022 |
| Complexity-Optimized Sparse Bayesian Learning for Scalable Classification Tasks J Luo, CM Wong, CM Vong arXiv preprint arXiv:2107.08195, 2021 | | 2021 |
