Baihong Jin

Orcid: 0000-0003-4130-832X

According to our database1, Baihong Jin authored at least 24 papers between 2015 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Predicting Electricity Infrastructure Induced Wildfire Risk in California.
CoRR, 2022

Class-wise Thresholding for Robust Out-of-Distribution Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
One-class graph neural networks for anomaly detection in attributed networks.
Neural Comput. Appl., 2021

Class-wise Thresholding for Detecting Out-of-Distribution Data.
CoRR, 2021

Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust.
Computer, 2021

2020
Incipient Anomaly Detection with Ensemble Learning.
PhD thesis, 2020

Gordian: Formal Reasoning-based Outlier Detection for Secure Localization.
ACM Trans. Cyber Phys. Syst., 2020

Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation.
CoRR, 2020

Using Ensemble Classifiers to Detect Incipient Anomalies.
CoRR, 2020

Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI.
CoRR, 2020

Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?
CoRR, 2020

Super-Resolution Reconstruction of Interval Energy Data.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

2019
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults.
CoRR, 2019

Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

A tractable ellipsoidal approximation for voltage regulation problems.
Proceedings of the 2019 American Control Conference, 2019

2018
Design Automation for Smart Building Systems.
Proc. IEEE, 2018

2017
Online computation of polytopic flexibility models for demand shifting applications.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
A fast and accurate approach for common path pessimism removal in static timing analysis.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015
A Contract-based Framework for Integrated Demand Response Management in Smart Grids.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

Learning Convex Piecewise Linear Machine for Data-Driven Optimal Control.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

A Fast and Simple Block-Based Approach for Common Path Pessimism Removal in Static Timing Analysis.
Proceedings of the 14th International Conference on Computer-Aided Design and Computer Graphics, 2015


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