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Super-Resolution Reconstruction of Interval Energy Data


Oct 23, 2020
Jieyi Lu, Baihong Jin

* Accepted as a poster abstract by BuildSys'20 

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Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation


Aug 20, 2020
Yingshui Tan, Baihong Jin, Qiushi Cui, Xiangyu Yue, Alberto Sangiovanni Vincentelli

* Submitted to Transactions on Cyber-Physical Systems for Special Issue on AI and Cyber-Physical Systems 

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Using Ensemble Classifiers to Detect Incipient Anomalies


Aug 20, 2020
Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto Sangiovanni Vincentelli

* Submitted to Transactions on Cyber-Physical Systems for Special Issue on AI and Cyber-Physical Systems 

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Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI


Jul 12, 2020
Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto Sangiovanni Vincentelli

* Preprint of submission to NeurIPS 2020 

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


Jul 08, 2020
Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto Sangiovanni Vincentelli


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


Sep 10, 2019
Baihong Jin, Yingshui Tan, Yuxin Chen, Alberto Sangiovanni-Vincentelli


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An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing


Jul 26, 2019
Baihong Jin, Yingshui Tan, Alexander Nettekoven, Yuxin Chen, Ufuk Topcu, Yisong Yue, Alberto Sangiovanni Vincentelli


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A tractable ellipsoidal approximation for voltage regulation problems


Mar 09, 2019
Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto Sangiovanni-Vincentelli, Baosen Zhang

* accepted by ACC2019 http://acc2019.a2c2.org/ 

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Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks


Feb 18, 2019
Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto~Sangiovanni-Vincentelli


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A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection


Feb 18, 2019
Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto Sangiovanni-Vincentelli


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MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks


Jan 15, 2019
Dan Li, Dacheng Chen, Lei Shi, Baihong Jin, Jonathan Goh, See-Kiong Ng

* This is a pre-print of an on-going work. arXiv admin note: text overlap with arXiv:1809.04758 

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Distribution System Voltage Control under Uncertainties using Tractable Chance Constraints


Nov 06, 2018
Pan Li, Baihong Jin, Dai Wang, Baosen Zhang

* 20 pages, 4 figures. Accepted by IEEE Transactions on Power Systems 

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