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 | 596 | 2022 |
Investigating bi-level optimization for learning and vision from a unified perspective: A survey and beyond R Liu, J Gao, J Zhang, D Meng, Z Lin IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12 …, 2021 | 238 | 2021 |
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 | 162 | 2018 |
Forkbase: An efficient storage engine for blockchain and forkable applications S Wang, TTA Dinh, Q Lin, Z Xie, M Zhang, Q Cai, G Chen, W Fu, BC Ooi, ... arXiv preprint arXiv:1802.04949, 2018 | 141 | 2018 |
X-Engine: An optimized storage engine for large-scale E-commerce transaction processing G Huang, X Cheng, J Wang, Y Wang, D He, T Zhang, F Li, S Wang, ... Proceedings of the 2019 International Conference on Management of Data, 651-665, 2019 | 140 | 2019 |
A correlated topic model using word embeddings. G Xun, Y Li, WX Zhao, J Gao, A Zhang IJCAI 17, 4207-4213, 2017 | 128 | 2017 |
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 | 125 | 2020 |
Big healthcare data analytics: Challenges and applications C Lee, Z Luo, KY Ngiam, M Zhang, K Zheng, G Chen, BC Ooi, WLJ Yip Handbook of large-scale distributed computing in smart healthcare, 11-41, 2017 | 108 | 2017 |
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 | 96 | 2019 |
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 | 92 | 2014 |
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 | 83 | 2018 |
Learning user preferences by adaptive pairwise comparison L Qian, J Gao, HV Jagadish Proceedings of the VLDB Endowment 8 (11), 1322-1333, 2015 | 77 | 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 | 75 | 2021 |
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 | 70 | 2020 |
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 | 70 | 2013 |
Efficient knowledge graph accuracy evaluation J Gao, X Li, YE Xu, B Sisman, XL Dong, J Yang arXiv preprint arXiv:1907.09657, 2019 | 69 | 2019 |
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 | 69 | 2015 |
Shared generative latent representation learning for multi-view clustering M Yin, W Huang, J Gao Proceedings of the AAAI conference on artificial intelligence 34 (04), 6688-6695, 2020 | 64 | 2020 |
On sampling top-k recommendation evaluation D Li, R Jin, J Gao, Z Liu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 58 | 2020 |