Shaofeng Cai

According to our database, Shaofeng Cai authored at least 28 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, December, 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., July, 2024

Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems.

Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei

Proc. VLDB Endow., January, 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, Beng Chin Ooi, Yanyan Shen, Yuncheng Wu, Meihui Zhang

CoRR, 2024

NeurDB: An AI-powered Autonomous Data System.

Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao

CoRR, 2024

Powering In-Database Dynamic Model Slicing for Structured Data Analytics.

Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu

CoRR, 2024

Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection.

Jiaqi Zhu, Shaofeng Cai, Fang Deng, Junran Wu

CoRR, 2024

Anytime Neural Architecture Search on Tabular Data.

Naili Xing, Shaofeng Cai, Zhaojing Luo, Beng Chin Ooi, Jian Pei

CoRR, 2024

Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection.

Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Junran Wu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection.

Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection.

Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Wenqiao Zhang

Proc. VLDB Endow., December, 2023

Regularized Pairwise Relationship based Analytics for Structured Data.

Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi

Proc. ACM Manag. Data, 2023

Robust and Transferable Log-based Anomaly Detection.

Peng Jia, Shaofeng Cai, Beng Chin Ooi, Pinghui Wang, Yiyuan Xiong

Proc. ACM Manag. Data, 2023

2022

DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics.

Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Melanie Herschel, Meihui Zhang, Beng Chin Ooi

Proc. VLDB Endow., 2022

NASI: Label- and Data-agnostic Neural Architecture Search at Initialization.

Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Improving Data Analytics with Fast and Adaptive Regularization.

Zhaojing Luo, Shaofeng Cai, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang

IEEE Trans. Knowl. Data Eng., 2021

GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction.

Chengxin Wang, Shaofeng Cai, Gary Tan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Dynamic Routing Networks.

Shaofeng Cai, Yao Shu, Wei Wang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

ARM-Net: Adaptive Relation Modeling Network for Structured Data.

Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Adaptive Knowledge Driven Regularization for Deep Neural Networks.

Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Disruptions of 5G on Data-Driven Technologies and Applications.

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

IEEE Trans. Knowl. Data Eng., 2020

Privacy Preserving Vertical Federated Learning for Tree-based Models.

Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi

Proc. VLDB Endow., 2020

TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications.

Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Wei Wang, Kee Yuan Ngiam, Beng Chin Ooi

Proceedings of the 2020 International Conference on Management of Data, 2020

Understanding Architectures Learnt by Cell-based Neural Architecture Search.

Yao Shu, Wei Wang, Shaofeng Cai

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints.

Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jinyang Gao

Proc. VLDB Endow., 2019

ISBNet: Instance-aware Selective Branching Network.

Shaofeng Cai, Yao Shu, Wei Wang, Beng Chin Ooi

CoRR, 2019

Effective and Efficient Dropout for Deep Convolutional Neural Networks.

Shaofeng Cai, Jinyang Gao, Meihui Zhang, Wei Wang, Gang Chen, Beng Chin Ooi

CoRR, 2019

2018

Adaptive Lightweight Regularization Tool for Complex Analytics.

Zhaojing Luo, Shaofeng Cai, Jinyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018