[VLDB] NeurIDA: Dynamic Modeling for Effective In-Database Analytics.
Lingze Zeng, Shaofeng Cai, Naili Xing, Jiaqi Zhu, Gang Chen, Peng Lu, Jian Pei, Beng Chin Ooi.
In IEEE Transactions on Pattern Analysis and Machine Intelligence
[ICML] pTNAS: Progressive Neural Architecture Search for Tabular Data.
Naili Xing, Shaofeng Cai*, Lingze Zeng, Jiaqi Zhu, Peng Lu, Jian Pei, Beng Chin Ooi.
In IEEE Transactions on Pattern Analysis and Machine Intelligence
[TPAMI] Catching Every Ripple: Enhanced Anomaly Awareness via Dynamic Concept Adaptation.
Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Wenqiao Zhang.
In 43rd International Conference on Learning Representations
[SIGMOD] Modeling Concurrency Control as a Learnable Function.
Hexiang Pan, Shaofeng Cai, Tien Tuan Anh Dinh, Yuncheng Wu, Yeow Meng Chee, Gang Chen, Beng Chin Ooi.
In International Conference on Management of Data
[SIGMOD] CoShap: A Scalable Coalition Growth Approach to Shapley Value Approximation.
Jingxuan He, Changshuo Liu, Shaofeng Cai, Xixian Han, Beng Chin Ooi, Yanyan Shen.
In International Conference on Management of Data
[VLDB] HAKES: Scalable Vector Database for Embedding Search Service. [pdf]
Guoyu Hu, Shaofeng Cai, Tien Tuan Anh Dinh, Zhongle Xie, Cong Yue, Gang Chen, Beng Chin Ooi.
In Proceedings of the VLDB Endowment
[ICML] In-Context Adaptation to Concept Drift for Learned Database Operations. [pdf]
Jiaqi Zhu, Shaofeng Cai*, Yanyan Shen, Gang Chen, Fang Deng, Beng Chin Ooi.
In 42nd International Conference on Machine Learning
[ICML] NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics. [link]
Changshuo Liu, Lingze Zeng, Kaiping Zheng, Shaofeng Cai, James Wei Luen Yip, Beng Chin Ooi.
In 42nd International Conference on Machine Learning
[ICLR] Investigating Pattern Neurons in Urban Time Series Forecasting. [pdf]
Chengxin Wang, Yiran Zhao, Shaofeng Cai, Gary Tan.
In 13th International Conference on Learning Representations
[SIGMOD] CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning. [pdf]
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
[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
[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
[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
[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
[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
[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
[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