| Privacy Preserving Vertical Federated Learning for Tree-based Models Y Wu, S Cai, X Xiao, G Chen, BC Ooi Proceedings of the VLDB Endowment 13, 2020 | 230 | 2020 |
| Understanding Architectures Learnt by Cell-based Neural Architecture Search Y Shu, W Wang, S Cai International Conference on Learning Representations (ICLR), 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 (TKDE), 2020 | 98 | 2020 |
| Effective and Efficient Dropout for Deep Convolutional Neural Networks S Cai, Y Shu, W Wang, M Zhang, G Chen, BC Ooi arXiv preprint arXiv:1904.03392, 2019 | 98 | 2019 |
| GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction C Wang*, S Cai*, G Tan IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021 | 68 | 2021 |
| ARM-Net: Adaptive Relation Modeling Network for Structured Data S Cai, K Zheng, G Chen, HV Jagadish, BC Ooi, M Zhang 2021 International Conference on Management of Data (SIGMOD), 2021 | 51 | 2021 |
| Dynamic Routing Networks S Cai, Y Shu, W Wang IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021 | 51 | 2021 |
| NASI: Label and Data Agnostic Neural Architecture Search at Initialization Y Shu, S Cai, Z Dai, BC Ooi, BKH Low International Conference on Learning Representations (ICLR), 2022 | 49 | 2022 |
| TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications K Zheng, S Cai, HR Chua, W Wang, KY Ngiam, BC Ooi 2020 International Conference on Management of Data (SIGMOD), 2020 | 25 | 2020 |
| Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints S Cai, G Chen, BC Ooi, J Gao Proceedings of the VLDB Endowment 13, 2019 | 24 | 2019 |
| Adaptive Lightweight Regularization Tool for Complex Analytics Z Luo, S Cai, J Gao, M Zhang, KY Ngiam, G Chen, WC Lee 2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018 | 18 | 2018 |
| Adaptive Knowledge Driven Regularization for Deep Neural Networks Z Luo, S Cai, C Cui, BC Ooi, Y Yang The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021 | 14 | 2021 |
| Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection J Zhu, S Cai*, F Deng, J Wu, BC Ooi 2024 ACM 32nd International Conference on Multimedia (MM Oral), 2024 | 12 | 2024 |
| Improving Data Analytics with Fast and Adaptive Regularization Z Luo, S Cai, G Chen, J Gao, WC Lee, KY Ngiam, M Zhang IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 | 12 | 2019 |
| Regularized Pairwise Relationship based Analytics for Structured Data Z Luo, S Cai, Y Wang, BC Ooi 2023 International Conference on Management of Data (SIGMOD), 2023 | 11 | 2023 |
| Robust and Transferable Log-based Anomaly Detection P Jia, S Cai*, BC Ooi, P Wang, Y Xiong 2023 International Conference on Management of Data (SIGMOD), 2023 | 11 | 2023 |
| DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics K Zheng, S Cai, HR Chua, M Herschel, M Zhang, BC Ooi Proceedings of the VLDB Endowment 15, 2022 | 10 | 2022 |
| METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection J Zhu, S Cai, F Deng, BC Ooi, W Zhang Proceedings of the VLDB Endowment 17, 2024 | 4 | 2024 |
| Powering In-database Dynamic Model Slicing for Structured Data Analytics L Zeng, N Xing, S Cai, G Chen, BC Ooi, J Pei, Y Wu Proceedings of the VLDB Endowment 18, 2024 | 2 | 2024 |
| Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems N Xing, S Cai, G Chen, Z Luo, BC Ooi, J Pei Proceedings of the VLDB Endowment 17, 2024 | 2 | 2024 |
Beng Chin OOINational University of SingaporeE-mail confirmado em comp.nus.edu.sg