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<!DOCTYPE HTML>
<html lang="en">
<head>
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<title>Cai Shaofeng</title>
<meta name="author" content="Cai Shaofeng">
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<p style="text-align:center">
<name>Cai Shaofeng</name>
</p>
<p>
I am a Senior Research Fellow in the Department of Computer Science, National University of Singapore.<br>
I mainly work on neural networks, focusing on architecture engineering, AutoML, and deep learning techniques .<br>
My research interests extend to anomaly detection, tabular data, and in-database analytics, advised by Prof. <a href="https://www.comp.nus.edu.sg/~ooibc/">Ooi Beng Chin</a>.
</p>
<p style="text-align:center">
<a href="mailto:[email protected]">Email</a>  / 
<a href="https://scholar.google.com.sg/citations?user=Nzr-hIoAAAAJ&hl=en">Google Scholar</a>  / 
<a href="https://github.com/solopku">Github</a>
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<heading>Publications</heading>
<h4>
Current Research Initiatives
</h4>
<ul>
<li>
<p>
AIxDB Techniques and Systems; In-database Analytics
</p>
</li>
</ul>
<ul>
<li>
<p>
Models, Techniques and Frameworks for Tabular Deep Learning
</p>
</li>
</ul>
<ul>
<li>
<p>
Resource-Efficient, Adaptive, and Interpretable Machine Learning
</p>
</li>
</ul>
<ul>
<li>
<p>
Models and Frameworks for Anomaly/Fraud Detection & Data-Driven Healthcare Analytics
</p>
</li>
</ul>
<h3>
2024
</h3>
<ul>
<li>
<p>
<b><font color="#0b5394">[CIDR] </font></b> NeurDB: On the Design and Implementation of an AI-powered Autonomous Database. [<a href="https://arxiv.org/pdf/2408.03013">pdf</a>] <br>
Zhanhao Zhao, <b>Shaofeng Cai</b>, Haotian Gao, Hexiang Pan, Siqi Xiang, Naili Xing, Gang Chen, Beng Chin Ooi, Yanyan Shen, Yuncheng Wu, Meihui Zhang. <br>
In <i>Conference on Innovative Data Systems Research </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[SIGMOD] </font></b> CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning. <br>
Haotian Gao, <b>Shaofeng Cai</b>, Tien Tuan Anh Dinh, Zhiyong Huang, Beng Chin Ooi. <br>
In <i>International Conference on Management of Data </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[VLDB] </font></b> Powering In-database Dynamic Model Slicing for Structured Data Analytics. [<a href="https://arxiv.org/pdf/2405.00568">pdf</a>] <br>
Lingze Zeng, Naili Xing, <b>Shaofeng Cai</b>, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu. <br>
In <i>Proceedings of the VLDB Endowment </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[MM] </font></b> Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection. [<a href="https://dl.acm.org/doi/10.1145/3664647.3681190">pdf</a>] <br>
Jiaqi Zhu, <b>Shaofeng Cai</b>*, Fang Deng, Beng Chin Ooi, Junran Wu. <br>
In <i>Proceedings of ACM Multimedia (Oral) </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[KDD] </font></b> VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. <br>
Fei Xiao, <b>Shaofeng Cai*</b>, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang. <br>
In <i>30th SIGKDD Conference on Knowledge Discovery and Data Mining </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[Science China] </font></b> NeurDB: An AI-powered Autonomous Data System. [<a href="https://arxiv.org/pdf/2405.03924">pdf</a>] <br>
Beng Chin Ooi, <b>Shaofeng Cai</b>, Gang Chen, Kian Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao. <br>
In <i>Proceedings of Science China Information Sciences </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[VLDB] </font></b> Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. [<a href="https://www.comp.nus.edu.sg/~ooibc/NeuRDB1.pdf">pdf</a>] <br>
Naili Xing, <b>Shaofeng Cai</b>, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei. <br>
In <i>Proceedings of the VLDB Endowment </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[VLDB] </font></b> METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection. [<a href="https://arxiv.org/pdf/2312.16831">pdf</a>] <br>
Jiaqi Zhu, <b>Shaofeng Cai</b>*, Fang Deng, Beng Chin Ooi, Wenqiao Zhang<br>
In <i>Proceedings of the VLDB Endowment </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[arXiv] </font></b> Anytime Neural Architecture Search on Tabular Data. [<a href="https://openreview.net/pdf?id=YlleMywQzX">pdf</a>] <br>
Naili Xing*, <b>Shaofeng Cai</b>*, Zhaojing Luo, Beng Chin Ooi, Jian Pei<br>
arXiv preprint <i>arXiv:2403.10318 </i> <br>
</p>
</li>
</ul>
<h3>
2023
</h3>
<ul>
<li>
<p>
<b><font color="#0b5394">[SIGMOD] </font></b> Robust and Transferable Log-based Anomaly Detection. [<a href="https://dl.acm.org/doi/pdf/10.1145/3588918">pdf</a>] <br>
Peng Jia, <b>Shaofeng Cai</b>*, Beng Chin Ooi, Pinghui Wang, Yiyuan Xiong. <br>
In <i>International Conference on Management of Data </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[SIGMOD] </font></b> Regularized Pairwise Relationship based Analytics for Structured Data. [<a href="https://dl.acm.org/doi/pdf/10.1145/3588936">pdf</a>] <br>
Zhaojing Luo, <b>Shaofeng Cai</b>, Yatong Wang, Beng Chin Ooi<br>
In <i>International Conference on Management of Data </i> <br>
</p>
</li>
</ul>
<h3>
2022
</h3>
<ul>
<li>
<p>
<b><font color="#0b5394">[VLDB] </font></b> DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. [<a href="https://www.comp.nus.edu.sg/~ooibc/dyhealth.pdf">pdf</a>] <br>
Kaiping Zheng, <b>Shaofeng Cai</b>, Horng Ruey Chua, Melanie Herschel, Meihui Zhang, Beng Chin Ooi. <br>
In <i>Proceedings of the VLDB Endowment </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[ICLR] </font></b> NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. [<a href="https://arxiv.org/abs/2109.00817">pdf</a>] <br>
Yao Shu, <b>Shaofeng Cai</b>, Zhongxiang Dai, Beng Chin Ooi and Kian Hsiang Low. <br>
In <i>10th International Conference on Learning Representations </i> <br>
</p>
</li>
</ul>
<h3>
2021
</h3>
<ul>
<li>
<p>
<b><font color="#0b5394">[SIGMOD] </font></b> ARM-Net: Adaptive Relation Modeling Network for Structured Data. [<a href="https://dl.acm.org/doi/10.1145/3448016.3457321">pdf</a>] <br>
<b>Shaofeng Cai</b>, Kaiping Zheng, Gang Chen, HV Jagadish, Beng Chin Ooi, Meihui Zhang. <br>
In <i>International Conference on Management of Data </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[AAAI] </font></b> Adaptive Knowledge Driven Regularization for Deep Neural Networks. [<a href="https://ojs.aaai.org/index.php/AAAI/article/view/17067">pdf</a>] <br>
Zhaojing Luo, <b>Shaofeng Cai</b>, Can Cui, Beng Chin Ooi, Yang Yang. <br>
In <i>AAAI Conference on Artificial Intelligence </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[WACV] </font></b> Dynamic Routing Networks. [<a href="https://openaccess.thecvf.com/content/WACV2021/html/Cai_Dynamic_Routing_Networks_WACV_2021_paper.html">pdf</a>] <br>
<b>Shaofeng Cai</b>, Yao Shu, Wei Wang. <br>
In <i>IEEE/CVF Winter Conference on Applications of Computer Vision </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[WACV] </font></b> GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction. [<a href="https://arxiv.org/abs/2003.07167">pdf</a>] <br>
Chengxin Wang*, <b>Shaofeng Cai</b>*, Gary Tan. <br>
In <i>IEEE/CVF Winter Conference on Applications of Computer Vision </i> <br>
</p>
</li>
</ul>
<h3>
2020
</h3>
<ul>
<li>
<p>
<b><font color="#0b5394">[SIGMOD] </font></b> TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. [<a href="https://dl.acm.org/doi/10.1145/3318464.3389720">pdf</a>] <br>
Kaiping Zheng, <b>Shaofeng Cai</b>, Horng Ruey Chua, Wei Wang, Kee Yuan Ngiam, Beng Chin Ooi. <br>
In <i>International Conference on Management of Data </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[TKDE] </font></b> The Disruptions of 5G on Data-driven Technologies and Applications. [<a href="https://ieeexplore.ieee.org/document/8961984">pdf</a>] <br>
Dumitrel Loghin, <b>Shaofeng Cai</b>, 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. <br>
In <i>IEEE transactions on Knowledge and Data Engineering </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[VLDB] </font></b> Privacy Preserving Vertical Federated Learning for Tree-based Models. [<a href="https://dl.acm.org/doi/10.14778/3407790.3407811">pdf</a>] <br>
Yuncheng Wu, <b>Shaofeng Cai</b>, Xiaokui Xiao, Gang Chen, Beng Chin Ooi. <br>
In <i>Proceedings of the VLDB Endowment </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[VLDB] </font></b> Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints. [<a href="https://dl.acm.org/doi/10.14778/3364324.3364325">pdf</a>] <br>
<b>Shaofeng Cai</b>, Gang Chen, Beng Chin Ooi, Jinyang Gao. <br>
In <i>Proceedings of the VLDB Endowment </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[ICLR] </font></b> Understanding Architectures Learnt by Cell-based Neural Architecture Search. [<a href="https://arxiv.org/abs/1909.09569">pdf</a>] <br>
Yao Shu, Wei Wang, <b>Shaofeng Cai</b>. <br>
In <i>8th International Conference on Learning Representations </i> <br>
</p>
</li>
</ul>
<h3>
2019
</h3>
<ul>
<li>
<p>
<b><font color="#0b5394">[TKDE] </font></b> Improving Data Analytics with Fast and Adaptive Regularization. [<a href="https://ieeexplore.ieee.org/document/8713578">pdf</a>] <br>
Zhaojing Luo, <b>Shaofeng Cai</b>, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang. <br>
In <i>IEEE transactions on Knowledge and Data Engineering </i> <br>
</p>
</li>
<li>
<p>
<b><font color="#0b5394">[arXiv] </font></b> Effective and Efficient Dropout for Deep Convolutional Neural Networks. [<a href="https://arxiv.org/abs/1904.03392">pdf</a>] <br>
<b>Shaofeng Cai</b>, Yao Shu, Wei Wang, Meihui Zhang, Gang Chen, Beng Chin Ooi. <br>
arXiv preprint <i>arXiv:1904.03392 </i> <br>
</p>
</li>
</p>
</li>
</ul>
<h3>
2018
</h3>
<ul>
<li>
<p>
<b><font color="#0b5394">[ICDE] </font></b> Adaptive Lightweight Regularization Tool for Complex Analytics. [<a href="https://www.comp.nus.edu.sg/~dbsystem/download/luo-icde18-paper.pdf">pdf</a>] <br>
Zhaojing Luo, <b>Shaofeng Cai</b>, Jinyang Gao, Meihui Zhang, Kee Yuan Ngiam, Gang Chen, Wang-Chien Lee. <br>
In <i>International Conference on Data Engineering </i>, Best Paper Runner-up <br>
</p>
</li>
</ul>
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<heading>Education</heading>
<ul>
<p>
<li>
National University of Singapore (<b>NUS</b>)   <span style="float: right">2016 - 2021 </span>
<ul>
<li>
<b>Ph.D.</b> in Computer Science
</li>
<li>
School of Computing
</li>
<li>
Research Achievement/Dean’s Graduate Research Excellence Award
</li>
<li>
Advisor: Prof. Ooi Beng Chin
</li>
</ul>
</li>
</p>
<p>
<li>
Peking University (<b>PKU</b>)
<ul>
<li>
<b>BEc</b> in Economics (Double Degree)<span style="float: right">2013 - 2016 </span>
</li>
<li>
National School of Development
</li>
</ul>
</li>
</p>
<p>
<li>
Peking University (<b>PKU</b>)
<ul>
<li>
<b>BSc</b> in Computer Science <span style="float: right">2012 - 2016 </span>
</li>
<li>
School of Computer Science and Technology
</li>
<li>
Outstanding Graduate
</li>
</ul>
</li>
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