| Contrastive learning for sequential recommendation X Xie, F Sun, Z Liu, S Wu, J Gao, J Zhang, B Ding, B Cui 2022 IEEE 38th international conference on data engineering (ICDE), 1259-1273, 2022 | 209 | 2022 |
| 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 | 158 | 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 | 116 | 2018 |
| DSH: data sensitive hashing for high-dimensional k-nnsearch J Gao, HV Jagadish, W Lu, BC Ooi Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 87 | 2014 |
| 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 | 78 | 2019 |
| Modeling personalized item frequency information for next-basket recommendation H Hu, X He, J Gao, ZL Zhang Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 77 | 2020 |
| Medical concept embedding with time-aware attention X Cai, J Gao, KY Ngiam, BC Ooi, Y Zhang, X Yuan arXiv preprint arXiv:1806.02873, 2018 | 70 | 2018 |
| An online cost sensitive decision-making method in crowdsourcing systems J Gao, X Liu, BC Ooi, H Wang, G Chen Proceedings of the 2013 ACM SIGMOD international conference on management of …, 2013 | 69 | 2013 |
| SINGA: Putting deep learning in the hands of multimedia users W Wang, G Chen, ATT Dinh, J Gao, BC Ooi, KL Tan, S Wang Proceedings of the 23rd ACM international conference on Multimedia, 25-34, 2015 | 66 | 2015 |
| Learning user preferences by adaptive pairwise comparison L Qian, J Gao, HV Jagadish Proceedings of the VLDB Endowment 8 (11), 1322-1333, 2015 | 66 | 2015 |
| Openbox: A generalized black-box optimization service Y Li, Y Shen, W Zhang, Y Chen, H Jiang, M Liu, J Jiang, J Gao, W Wu, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 54 | 2021 |
| Contrastive pre-training for sequential recommendation X Xie, F Sun, Z Liu, J Gao, B Ding, B Cui arXiv preprint arXiv:2010.14395, 2020 | 48 | 2020 |
| Resolving the bias in electronic medical records K Zheng, J Gao, KY Ngiam, BC Ooi, WLJ Yip Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 47 | 2017 |
| Privileged features distillation at taobao recommendations C Xu, Q Li, J Ge, J Gao, X Yang, C Pei, F Sun, J Wu, H Sun, W Ou Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 46 | 2020 |
| Efficient knowledge graph accuracy evaluation J Gao, X Li, YE Xu, B Sisman, XL Dong, J Yang arXiv preprint arXiv:1907.09657, 2019 | 39 | 2019 |
| Deep learning at scale and at ease W Wang, G Chen, H Chen, TTA Dinh, J Gao, BC Ooi, KL Tan, S Wang, ... ACM Transactions on Multimedia Computing, Communications, and Applications …, 2016 | 36 | 2016 |
| Selective hashing: Closing the gap between radius search and k-nn search J Gao, HV Jagadish, BC Ooi, S Wang Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 35 | 2015 |
| Efficient automatic CASH via rising bandits Y Li, J Jiang, J Gao, Y Shao, C Zhang, B Cui Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4763-4771, 2020 | 34 | 2020 |
| Capturing feature-level irregularity in disease progression modeling K Zheng, W Wang, J Gao, KY Ngiam, BC Ooi, WLJ Yip Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 34 | 2017 |
| Exploiting the structure: Stochastic gradient methods using raw clusters Z Allen-Zhu, Y Yuan, K Sridharan Advances in Neural Information Processing Systems 29, 2016 | 33 | 2016 |
Beng Chin OOINational University of SingaporeVerified email at comp.nus.edu.sg
