Zhaojing Luo

Orcid: 0000-0001-7271-3999

According to our database1, Zhaojing Luo authored at least 18 papers between 2015 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
Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System.
Proc. VLDB Endow., 2023

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

Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs.
CoRR, 2023

ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
LDA-Reg: Knowledge Driven Regularization Using External Corpora.
IEEE Trans. Knowl. Data Eng., 2022

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

AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

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

2020
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.
CoRR, 2020

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

2017
Big Healthcare Data Analytics: Challenges and Applications.
Proceedings of the Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017

2016
Towards longitudinal analysis of a population's electronic health records using factor graphs.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

2015
SINGA: A Distributed Deep Learning Platform.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015


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