Adaptive Lightweight Regularization Tool for Complex Analytics. - Zhaojing Luo; Shaofeng Cai; Jinyang Gao; Meihui Zhang 001; Kee Yuan Ngiam; Gang Chen 001; Wang-Chien Lee (ICDE, 2018)

Effective and Efficient Dropout for Deep Convolutional Neural Networks. - Shaofeng Cai; Jinyang Gao; Meihui Zhang 001; Wei Wang 059; Gang Chen 001; Beng Chin Ooi (CoRR, 2019)

ISBNet: Instance-aware Selective Branching Network. - Shaofeng Cai; Yao Shu; Wei Wang 059; Beng Chin Ooi (CoRR, 2019)

Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. - Shaofeng Cai; Gang Chen 001; Beng Chin Ooi; Jinyang Gao (Proc. VLDB Endow., 2019)

Understanding Architectures Learnt by Cell-based Neural Architecture Search. - Yao Shu; Wei Wang 059; Shaofeng Cai (ICLR, 2020)

TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. - Kaiping Zheng; Shaofeng Cai; Horng Ruey Chua; Wei Wang 059; Kee Yuan Ngiam; Beng Chin Ooi (SIGMOD Conference, 2020)

Privacy Preserving Vertical Federated Learning for Tree-based Models. - Yuncheng Wu; Shaofeng Cai; Xiaokui Xiao; Gang Chen 001; Beng Chin Ooi (Proc. VLDB Endow., 2020)

The Disruptions of 5G on Data-Driven Technologies and Applications. - Dumitrel Loghin; Shaofeng Cai; Gang Chen 001; Tien Tuan Anh Dinh; Feiyi Fan; Qian Lin 002; Janice Ng; Beng Chin Ooi; Xutao Sun; Quang-Trung Ta; Wei Wang 059; Xiaokui Xiao; et al. (IEEE Trans. Knowl. Data Eng., 2020)

Adaptive Knowledge Driven Regularization for Deep Neural Networks. - Zhaojing Luo; Shaofeng Cai; Can Cui; Beng Chin Ooi; Yang Yang 002 (AAAI, 2021)

ARM-Net: Adaptive Relation Modeling Network for Structured Data. - Shaofeng Cai; Kaiping Zheng; Gang Chen 001; H. V. Jagadish; Beng Chin Ooi; Meihui Zhang 001 (SIGMOD Conference, 2021)

Dynamic Routing Networks. - Shaofeng Cai; Yao Shu; Wei Wang 059 (WACV, 2021)

GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction. - Chengxin Wang; Shaofeng Cai; Gary Tan (WACV, 2021)

Improving Data Analytics with Fast and Adaptive Regularization. - Zhaojing Luo; Shaofeng Cai; Gang Chen 001; Jinyang Gao; Wang-Chien Lee; Kee Yuan Ngiam; Meihui Zhang 001 (IEEE Trans. Knowl. Data Eng., 2021)

NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. - Yao Shu; Shaofeng Cai; Zhongxiang Dai; Beng Chin Ooi; Bryan Kian Hsiang Low (ICLR, 2022)

DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. - Kaiping Zheng; Shaofeng Cai; Horng Ruey Chua; Melanie Herschel; Meihui Zhang 001; Beng Chin Ooi (Proc. VLDB Endow., 2022)

Robust and Transferable Log-based Anomaly Detection. - Peng Jia 004; Shaofeng Cai; Beng Chin Ooi; Pinghui Wang; Yiyuan Xiong (Proc. ACM Manag. Data, 2023)

Regularized Pairwise Relationship based Analytics for Structured Data. - Zhaojing Luo; Shaofeng Cai; Yatong Wang; Beng Chin Ooi (Proc. ACM Manag. Data, 2023)

METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection. - Jiaqi Zhu 002; Shaofeng Cai; Fang Deng; Beng Chin Ooi; Wenqiao Zhang (Proc. VLDB Endow., 2023)

VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. - Fei Xiao; Shaofeng Cai; Gang Chen 001; H. V. Jagadish; Beng Chin Ooi; Meihui Zhang 001 (KDD, 2024)

Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection. - Jiaqi Zhu 002; Shaofeng Cai; Fang Deng; Beng Chin Ooi; Junran Wu (ACM Multimedia, 2024)

NeurDB: an AI-powered autonomous data system. - Beng Chin Ooi; Shaofeng Cai; Gang Chen 001; Yanyan Shen; Kian-Lee Tan; Yuncheng Wu; Xiaokui Xiao; Naili Xing; Cong Yue; Lingze Zeng; Meihui Zhang 001; Zhanhao Zhao (Sci. China Inf. Sci., 2024)

Anytime Neural Architecture Search on Tabular Data. - Naili Xing; Shaofeng Cai; Zhaojing Luo; Beng Chin Ooi; Jian Pei 001 (CoRR, 2024)

Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection. - Jiaqi Zhu 002; Shaofeng Cai; Fang Deng; Junran Wu (CoRR, 2024)

NeurDB: An AI-powered Autonomous Data System. - Beng Chin Ooi; Shaofeng Cai; Gang Chen 001; Kian-Lee Tan; Yuncheng Wu; Xiaokui Xiao; Naili Xing; Cong Yue; Lingze Zeng; Meihui Zhang 001; Zhanhao Zhao (CoRR, 2024)

NeurDB: On the Design and Implementation of an AI-powered Autonomous Database. - Zhanhao Zhao; Shaofeng Cai; Haotian Gao; Hexiang Pan; Siqi Xiang; Naili Xing; Gang Chen 001; Beng Chin Ooi; Yanyan Shen; Yuncheng Wu; Meihui Zhang 001 (CoRR, 2024)

Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. - Naili Xing; Shaofeng Cai; Gang Chen 001; Zhaojing Luo; Beng Chin Ooi; Jian Pei 001 (Proc. VLDB Endow., 2024)

Automatic detection of defects in electronic plastic packaging using deep convolutional neural networks. - Wanchun Ren; Pengcheng Zhu; Shaofeng Cai; Yi Huang; Haoran Zhao; Youji Hama; Zhu Yan; Tao Zhou; Junde Pu; Hongwei Yang (J. Real Time Image Process., 2024)

Powering In-Database Dynamic Model Slicing for Structured Data Analytics. - Lingze Zeng; Naili Xing; Shaofeng Cai; Gang Chen 001; Beng Chin Ooi; Jian Pei 001; Yuncheng Wu (Proc. VLDB Endow., 2024)

CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning. - Haotian Gao; Shaofeng Cai; Tien Tuan Anh Dinh; Zhiyong Huang; Beng Chin Ooi (Proc. ACM Manag. Data, 2024)

Investigating Pattern Neurons in Urban Time Series Forecasting. - Chengxin Wang; Yiran Zhao; Shaofeng Cai; Gary Tan (ICLR, 2025)

CCaaLF: Concurrency Control as a Learnable Function. - Hexiang Pan; Shaofeng Cai; Tien Tuan Anh Dinh; Yuncheng Wu; Yeow Meng Chee; Gang Chen 001; Beng Chin Ooi (CoRR, 2025)

Improving log-based anomaly detection through learned adaptive filter. - Yiyuan Xiong; Shaofeng Cai (CoRR, 2025)

In-Context Adaptation to Concept Drift for Learned Database Operations. - Jiaqi Zhu 002; Shaofeng Cai; Yanyan Shen; Gang Chen 001; Fang Deng; Beng Chin Ooi (CoRR, 2025)

HAKES: Scalable Vector Database for Embedding Search Service. - Guoyu Hu; Shaofeng Cai; Tien Tuan Anh Dinh; Zhongle Xie; Cong Yue; Gang Chen 001; Beng Chin Ooi (CoRR, 2025)