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Career

· Postdoctoral Researcher, UC Berkeley Department of Electrical Engineering and Computer Sciences2020–

Publications (32)

MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
International Conference on Artificial Neural Networks · 2019
967
cited
One-class graph neural networks for anomaly detection in attributed networks
Neural computing & applications (Print) · 2020
125
cited
Design Automation for Smart Building Systems
Proceedings of the IEEE · 2018
81
cited
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing
International Conference on Machine Learning and Applications · 2019
45
cited
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection
International Conference on Prognostics and Health Management · 2019
35
cited
Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust
Computer · 2021
30
cited
Evaluation of a cost-responsive supply air temperature reset strategy in an office building
2018
29
cited
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks
International Conference on Prognostics and Health Management · 2019
28
cited
Distribution System Voltage Control Under Uncertainties Using Tractable Chance Constraints
IEEE Transactions on Power Systems · 2017
23
cited
A fast and accurate approach for common path pessimism removal in static timing analysis
International Symposium on Circuits and Systems · 2016
12
cited
Learning Convex Piecewise Linear Machine for Data-Driven Optimal Control
International Conference on Machine Learning and Applications · 2015
11
cited
Predicting electricity infrastructure induced wildfire risk in California
Environmental Research Letters · 2022
11
cited
A Contract-based Framework for Integrated Demand Response Management in Smart Grids
International Conference on Systems for Energy-Efficient Built Environments · 2015
9
cited
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults
arXiv.org · 2019
7
cited
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI
arXiv.org · 2020
6
cited
Gordian
ACM Trans. Cyber Phys. Syst. · 2020
6
cited
Synthetic Data in DC Microgrids: Label Creation for Ensemble Learning for Fault Isolation
IEEE Transactions on Power Delivery · 2022
6
cited
Class-wise Thresholding for Robust Out-of-Distribution Detection
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2021
4
cited
A tractable ellipsoidal approximation for voltage regulation problems
American Control Conference · 2019
3
cited
Super-Resolution Reconstruction of Interval Energy Data
International Conference on Systems for Energy-Efficient Built Environments · 2020
3
cited
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Baihong Jin | Researcher Profile | Sotabase | Sotabase