I am a Senior Research Fellow in the Department of Computer Science, National University of Singapore.
I mainly work on neural networks, focusing on architecture engineering, AutoML, and deep learning techniques .
My research interests extend to anomaly detection, tabular data, and in-database analytics, advised by Prof. Ooi Beng Chin.
AIxDB Techniques and Systems; In-database Analytics
Models, Techniques and Frameworks for Tabular Deep Learning
Resource-Efficient, Adaptive, and Interpretable Machine Learning
Models and Frameworks for Anomaly/Fraud Detection & Data-Driven Healthcare Analytics
2024
[CIDR] NeurDB: On the Design and Implementation of an AI-powered Autonomous Database. [pdf]
Zhanhao Zhao, Shaofeng Cai, Haotian Gao, Hexiang Pan, Siqi Xiang, Naili Xing, Gang Chen, Beng Chin Ooi, Yanyan Shen, Yuncheng Wu, Meihui Zhang.
In Conference on Innovative Data Systems Research
[SIGMOD] CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning.
Haotian Gao, Shaofeng Cai, Tien Tuan Anh Dinh, Zhiyong Huang, Beng Chin Ooi.
In International Conference on Management of Data
[VLDB] Powering In-database Dynamic Model Slicing for Structured Data Analytics. [pdf]
Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu.
In Proceedings of the VLDB Endowment
[MM] Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection. [pdf]
Jiaqi Zhu, Shaofeng Cai*, Fang Deng, Beng Chin Ooi, Junran Wu.
In Proceedings of ACM Multimedia (Oral)
[KDD] VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection.
Fei Xiao, Shaofeng Cai*, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang.
In 30th SIGKDD Conference on Knowledge Discovery and Data Mining
[Science China] NeurDB: An AI-powered Autonomous Data System. [pdf]
Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao.
In Proceedings of Science China Information Sciences
[VLDB] Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. [pdf]
Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei.
In Proceedings of the VLDB Endowment
[VLDB] METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection. [pdf]
Jiaqi Zhu, Shaofeng Cai*, Fang Deng, Beng Chin Ooi, Wenqiao Zhang
In Proceedings of the VLDB Endowment
[SIGMOD] Robust and Transferable Log-based Anomaly Detection. [pdf]
Peng Jia, Shaofeng Cai*, Beng Chin Ooi, Pinghui Wang, Yiyuan Xiong.
In International Conference on Management of Data
[SIGMOD] Regularized Pairwise Relationship based Analytics for Structured Data. [pdf]
Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi
In International Conference on Management of Data
2022
[VLDB] DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. [pdf]
Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Melanie Herschel, Meihui Zhang, Beng Chin Ooi.
In Proceedings of the VLDB Endowment
[ICLR] NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. [pdf]
Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi and Kian Hsiang Low.
In 10th International Conference on Learning Representations
2021
[SIGMOD] ARM-Net: Adaptive Relation Modeling Network for Structured Data. [pdf] Shaofeng Cai, Kaiping Zheng, Gang Chen, HV Jagadish, Beng Chin Ooi, Meihui Zhang.
In International Conference on Management of Data
[AAAI] Adaptive Knowledge Driven Regularization for Deep Neural Networks. [pdf]
Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang.
In AAAI Conference on Artificial Intelligence
[WACV] Dynamic Routing Networks. [pdf] Shaofeng Cai, Yao Shu, Wei Wang.
In IEEE/CVF Winter Conference on Applications of Computer Vision
[WACV] GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction. [pdf]
Chengxin Wang*, Shaofeng Cai*, Gary Tan.
In IEEE/CVF Winter Conference on Applications of Computer Vision
2020
[SIGMOD] TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. [pdf]
Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Wei Wang, Kee Yuan Ngiam, Beng Chin Ooi.
In International Conference on Management of Data
[TKDE] The Disruptions of 5G on Data-driven Technologies and Applications. [pdf]
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.
In IEEE transactions on Knowledge and Data Engineering
[VLDB] Privacy Preserving Vertical Federated Learning for Tree-based Models. [pdf]
Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi.
In Proceedings of the VLDB Endowment
[VLDB] Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. [pdf] Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jinyang Gao.
In Proceedings of the VLDB Endowment
[ICLR] Understanding Architectures Learnt by Cell-based Neural Architecture Search. [pdf]
Yao Shu, Wei Wang, Shaofeng Cai.
In 8th International Conference on Learning Representations
2019
[TKDE] Improving Data Analytics with Fast and Adaptive Regularization. [pdf]
Zhaojing Luo, Shaofeng Cai, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang.
In IEEE transactions on Knowledge and Data Engineering
[arXiv] Effective and Efficient Dropout for Deep Convolutional Neural Networks. [pdf] Shaofeng Cai, Yao Shu, Wei Wang, Meihui Zhang, Gang Chen, Beng Chin Ooi.
arXiv preprint arXiv:1904.03392
2018
[ICDE] Adaptive Lightweight Regularization Tool for Complex Analytics. [pdf]
Zhaojing Luo, Shaofeng Cai, Jinyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee.
In International Conference on Data Engineering , Best Paper Runner-up
Education
National University of Singapore (NUS) 2016 - 2021
Ph.D. in Computer Science
School of Computing
Research Achievement/Dean’s Graduate Research Excellence Award