Shaofeng Cai

Orcid: 0000-0001-8605-076X

According to our database1, Shaofeng Cai authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems.
Proc. VLDB Endow., January, 2024

Anytime Neural Architecture Search on Tabular Data.
CoRR, 2024

2023
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection.
Proc. VLDB Endow., December, 2023

Regularized Pairwise Relationship based Analytics for Structured Data.
Proc. ACM Manag. Data, 2023

Robust and Transferable Log-based Anomaly Detection.
Proc. ACM Manag. Data, 2023

2022
DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics.
Proc. VLDB Endow., 2022

NASI: Label- and Data-agnostic Neural Architecture Search at Initialization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Improving Data Analytics with Fast and Adaptive Regularization.
IEEE Trans. Knowl. Data Eng., 2021

GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Dynamic Routing Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

ARM-Net: Adaptive Relation Modeling Network for Structured Data.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Adaptive Knowledge Driven Regularization for Deep Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The Disruptions of 5G on Data-Driven Technologies and Applications.
IEEE Trans. Knowl. Data Eng., 2020

Privacy Preserving Vertical Federated Learning for Tree-based Models.
Proc. VLDB Endow., 2020

TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications.
Proceedings of the 2020 International Conference on Management of Data, 2020

Understanding Architectures Learnt by Cell-based Neural Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints.
Proc. VLDB Endow., 2019

ISBNet: Instance-aware Selective Branching Network.
CoRR, 2019

Effective and Efficient Dropout for Deep Convolutional Neural Networks.
CoRR, 2019

2018
Adaptive Lightweight Regularization Tool for Complex Analytics.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018


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