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Shaofeng Cai
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Journal Articles
- 2024
- [j10]Wanchun Ren, Pengcheng Zhu, Shaofeng Cai, Yi Huang, Haoran Zhao, Youji Hama, Zhu Yan, Tao Zhou, Junde Pu, Hongwei Yang:
Automatic detection of defects in electronic plastic packaging using deep convolutional neural networks. J. Real Time Image Process. 21(4): 152 (2024) - [j9]Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei:
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. Proc. VLDB Endow. 17(5): 1020-1033 (2024) - 2023
- [j8]Peng Jia, Shaofeng Cai, Beng Chin Ooi, Pinghui Wang, Yiyuan Xiong:
Robust and Transferable Log-based Anomaly Detection. Proc. ACM Manag. Data 1(1): 64:1-64:26 (2023) - [j7]Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi:
Regularized Pairwise Relationship based Analytics for Structured Data. Proc. ACM Manag. Data 1(1): 82:1-82:27 (2023) - [j6]Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Wenqiao Zhang:
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection. Proc. VLDB Endow. 17(4): 794-807 (2023) - 2022
- [j5]Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Melanie Herschel, Meihui Zhang, Beng Chin Ooi:
DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. Proc. VLDB Endow. 15(12): 3445-3458 (2022) - 2021
- [j4]Zhaojing Luo, Shaofeng Cai, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang:
Improving Data Analytics with Fast and Adaptive Regularization. IEEE Trans. Knowl. Data Eng. 33(2): 551-568 (2021) - 2020
- [j3]Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi:
Privacy Preserving Vertical Federated Learning for Tree-based Models. Proc. VLDB Endow. 13(11): 2090-2103 (2020) - [j2]Dumitrel Loghin, Shaofeng Cai, Gang Chen, Tien Tuan Anh Dinh, Feiyi Fan, Qian Lin, Janice Ng, Beng Chin Ooi, Xutao Sun, Quang-Trung Ta, Wei Wang, Xiaokui Xiao, Yang Yang, Meihui Zhang, Zhonghua Zhang:
The Disruptions of 5G on Data-Driven Technologies and Applications. IEEE Trans. Knowl. Data Eng. 32(6): 1179-1198 (2020) - 2019
- [j1]Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jinyang Gao:
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. Proc. VLDB Endow. 13(2): 86-99 (2019)
Conference and Workshop Papers
- 2024
- [c10]Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. KDD 2024: 6025-6036 - [c9]Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Junran Wu:
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection. ACM Multimedia 2024: 48-57 - 2022
- [c8]Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low:
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. ICLR 2022 - 2021
- [c7]Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang:
Adaptive Knowledge Driven Regularization for Deep Neural Networks. AAAI 2021: 8810-8818 - [c6]Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
ARM-Net: Adaptive Relation Modeling Network for Structured Data. SIGMOD Conference 2021: 207-220 - [c5]Chengxin Wang, Shaofeng Cai, Gary Tan:
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction. WACV 2021: 3449-3458 - [c4]Shaofeng Cai, Yao Shu, Wei Wang:
Dynamic Routing Networks. WACV 2021: 3587-3596 - 2020
- [c3]Yao Shu, Wei Wang, Shaofeng Cai:
Understanding Architectures Learnt by Cell-based Neural Architecture Search. ICLR 2020 - [c2]Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Wei Wang, Kee Yuan Ngiam, Beng Chin Ooi:
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. SIGMOD Conference 2020: 1747-1763 - 2018
- [c1]Zhaojing Luo, Shaofeng Cai, Jinyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee:
Adaptive Lightweight Regularization Tool for Complex Analytics. ICDE 2018: 485-496
Informal and Other Publications
- 2024
- [i16]Naili Xing, Shaofeng Cai, Zhaojing Luo, Beng Chin Ooi, Jian Pei:
Anytime Neural Architecture Search on Tabular Data. CoRR abs/2403.10318 (2024) - [i15]Jiaqi Zhu, Shaofeng Cai, Fang Deng, Junran Wu:
Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection. CoRR abs/2404.09654 (2024) - [i14]Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu:
Powering In-Database Dynamic Model Slicing for Structured Data Analytics. CoRR abs/2405.00568 (2024) - [i13]Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao:
NeurDB: An AI-powered Autonomous Data System. CoRR abs/2405.03924 (2024) - [i12]Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. CoRR abs/2408.00513 (2024) - [i11]Zhanhao Zhao, Shaofeng Cai, Haotian Gao, Hexiang Pan, Siqi Xiang, Naili Xing, Gang Chen, Beng Chin Ooi, Yanyan Shen, Yuncheng Wu, Meihui Zhang:
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database. CoRR abs/2408.03013 (2024) - 2023
- [i10]Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Wenqiao Zhang:
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection. CoRR abs/2312.16831 (2023) - 2021
- [i9]Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
ARM-Net: Adaptive Relation Modeling Network for Structured Data. CoRR abs/2107.01830 (2021) - [i8]Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low:
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. CoRR abs/2109.00817 (2021) - 2020
- [i7]Chengxin Wang, Shaofeng Cai, Gary Tan:
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction. CoRR abs/2003.07167 (2020) - [i6]Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Wei Wang, Kee Yuan Ngiam, Beng Chin Ooi:
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. CoRR abs/2003.12012 (2020) - [i5]Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi:
Privacy Preserving Vertical Federated Learning for Tree-based Models. CoRR abs/2008.06170 (2020) - 2019
- [i4]Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jinyang Gao:
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. CoRR abs/1904.01831 (2019) - [i3]Shaofeng Cai, Jinyang Gao, Meihui Zhang, Wei Wang, Gang Chen, Beng Chin Ooi:
Effective and Efficient Dropout for Deep Convolutional Neural Networks. CoRR abs/1904.03392 (2019) - [i2]Shaofeng Cai, Yao Shu, Wei Wang, Beng Chin Ooi:
ISBNet: Instance-aware Selective Branching Network. CoRR abs/1905.04849 (2019) - [i1]Dumitrel Loghin, Shaofeng Cai, Gang Chen, Tien Tuan Anh Dinh, Feiyi Fan, Qian Lin, Janice Ng, Beng Chin Ooi, Xutao Sun, Quang-Trung Ta, Wei Wang, Xiaokui Xiao, Yang Yang, Meihui Zhang, Zhonghua Zhang:
The Disruptions of 5G on Data-driven Technologies and Applications. CoRR abs/1909.08096 (2019)
Coauthor Index
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