| Brecq: Pushing the limit of post-training quantization by block reconstruction Y Li, R Gong, X Tan, Y Yang, P Hu, Q Zhang, F Yu, W Wang, S Gu arXiv preprint arXiv:2102.05426, 2021 | 401 | 2021 |
| Additive powers-of-two quantization: An efficient non-uniform discretization for neural networks Y Li, X Dong, W Wang arXiv preprint arXiv:1909.13144, 2019 | 341 | 2019 |
| Learning to detect malicious clients for robust federated learning S Li, Y Cheng, W Wang, Y Liu, T Chen arXiv preprint arXiv:2002.00211, 2020 | 276 | 2020 |
| Database meets deep learning: Challenges and opportunities W Wang, M Zhang, G Chen, HV Jagadish, BC Ooi, KL Tan ACM Sigmod Record 45 (2), 17-22, 2016 | 195 | 2016 |
| Mixup for node and graph classification Y Wang, W Wang, Y Liang, Y Cai, B Hooi Proceedings of the Web Conference 2021, 3663-3674, 2021 | 191 | 2021 |
| Effective multi-modal retrieval based on stacked auto-encoders W Wang, BC Ooi, X Yang, D Zhang, Y Zhuang Proceedings of the VLDB Endowment 7 (8), 649-660, 2014 | 190 | 2014 |
| SINGA: A distributed deep learning platform BC Ooi, KL Tan, S Wang, W Wang, Q Cai, G Chen, J Gao, Z Luo, ... Proceedings of the 23rd ACM international conference on Multimedia, 685-688, 2015 | 181 | 2015 |
| Rafiki: Machine learning as an analytics service system W Wang, S Wang, J Gao, M Zhang, G Chen, TK Ng, BC Ooi arXiv preprint arXiv:1804.06087, 2018 | 159 | 2018 |
| Nodeaug: Semi-supervised node classification with data augmentation Y Wang, W Wang, Y Liang, Y Cai, J Liu, B Hooi Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 157 | 2020 |
| Communication-efficient distributed deep learning: A comprehensive survey Z Tang, S Shi, W Wang, B Li, X Chu arXiv preprint arXiv:2003.06307, 2020 | 150 | 2020 |
| Effective deep learning-based multi-modal retrieval W Wang, X Yang, BC Ooi, D Zhang, Y Zhuang The VLDB Journal 25, 79-101, 2016 | 146 | 2016 |
| Learning visual relationship and context-aware attention for image captioning J Wang, W Wang, L Wang, Z Wang, DD Feng, T Tan Pattern Recognition 98, 107075, 2020 | 141 | 2020 |
| Dynamic malware analysis with feature engineering and feature learning Z Zhang, P Qi, W Wang Proceedings of the AAAI conference on artificial intelligence 34 (01), 1210-1217, 2020 | 132 | 2020 |
| Learning to discriminate perturbations for blocking adversarial attacks in text classification Y Zhou, JY Jiang, KW Chang, W Wang arXiv preprint arXiv:1909.03084, 2019 | 127 | 2019 |
| Infrared thermal imaging-based crack detection using deep learning J Yang, W Wang, G Lin, Q Li, Y Sun, Y Sun Ieee Access 7, 182060-182077, 2019 | 126 | 2019 |
| Understanding architectures learnt by cell-based neural architecture search Y Shu, W Wang, S Cai arXiv preprint arXiv:1909.09569, 2019 | 112 | 2019 |
| The disruptions of 5G on data-driven technologies and applications D Loghin, S Cai, G Chen, TTA Dinh, F Fan, Q Lin, J Ng, BC Ooi, X Sun, ... IEEE transactions on knowledge and data engineering 32 (6), 1179-1198, 2020 | 99 | 2020 |
| Effective and efficient dropout for deep convolutional neural networks S Cai, Y Shu, G Chen, BC Ooi, W Wang, M Zhang arXiv preprint arXiv:1904.03392, 2019 | 97 | 2019 |
| Scatternet: A deep subjective similarity model for visual analysis of scatterplots Y Ma, AKH Tung, W Wang, X Gao, Z Pan, W Chen IEEE transactions on visualization and computer graphics 26 (3), 1562-1576, 2018 | 84 | 2018 |
| Cross-domain image retrieval with attention modeling X Ji, W Wang, M Zhang, Y Yang Proceedings of the 25th ACM international conference on Multimedia, 1654-1662, 2017 | 83 | 2017 |
Beng Chin OOINational University of SingaporeVerified email at comp.nus.edu.sg
