Shaofeng Cai

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Structured Data

Unexpected Events

Neural Architecture

Interaction Model

Top Venues

Proc. VLDB Endow.

Proc. ACM Manag. Data

Publications

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)
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) (2024)
Naili Xing, Shaofeng Cai, Zhaojing Luo, Beng Chin Ooi, Jian Pei
Anytime Neural Architecture Search on Tabular Data. CoRR (2024)
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 (2024)
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 (2024)
Jiaqi Zhu, Shaofeng Cai, Fang Deng, Junran Wu
Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection. CoRR (2024)
Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Wenqiao Zhang
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection. CoRR (2023)
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) (2023)
Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi
Regularized Pairwise Relationship based Analytics for Structured Data. Proc. ACM Manag. Data 1 (1) (2023)
Peng Jia, Shaofeng Cai, Beng Chin Ooi, Pinghui Wang, Yiyuan Xiong
Robust and Transferable Log-based Anomaly Detection. Proc. ACM Manag. Data 1 (1) (2023)
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) (2022)
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)
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) (2021)
Shaofeng Cai, Yao Shu, Wei Wang
Dynamic Routing Networks. WACV (2021)
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)
Chengxin Wang, Shaofeng Cai, Gary Tan
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction. WACV (2021)
Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. CoRR (2021)
Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang
ARM-Net: Adaptive Relation Modeling Network for Structured Data. CoRR (2021)
Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang
Adaptive Knowledge Driven Regularization for Deep Neural Networks. AAAI (2021)
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)
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) (2020)
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) (2020)
Chengxin Wang, Shaofeng Cai, Gary Tan
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction. CoRR (2020)
Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi
Privacy Preserving Vertical Federated Learning for Tree-based Models. CoRR (2020)
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 (2020)
Yao Shu, Wei Wang, Shaofeng Cai
Understanding Architectures Learnt by Cell-based Neural Architecture Search. ICLR (2020)
Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jinyang Gao
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. CoRR (2019)
Shaofeng Cai, Jinyang Gao, Meihui Zhang, Wei Wang, Gang Chen, Beng Chin Ooi
Effective and Efficient Dropout for Deep Convolutional Neural Networks. CoRR (2019)
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 (2019)
Shaofeng Cai, Yao Shu, Wei Wang, Beng Chin Ooi
ISBNet: Instance-aware Selective Branching Network. CoRR (2019)
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) (2019)
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)