Baihong Jin (金柏宏)
Title
Cited by
Cited by
Year
MAD-GAN: Multivariate anomaly detection for time series data with generative adversarial networks
D Li, D Chen, B Jin, L Shi, J Goh, SK Ng
International Conference on Artificial Neural Networks, 703-716, 2019
842019
Design Automation for Smart Building Systems
R Jia*, B Jin*, M Jin, Y Zhou, IC Konstantakopoulos, H Zou, J Kim, D Li, ...
Proceedings of the IEEE 106 (9), 1680 - 1699, 2018
342018
Evaluation of a cost-responsive supply air temperature reset strategy in an office building
P Raftery, S Li, B Jin, M Ting, G Paliaga, H Cheng
Energy and Buildings 158, 356-370, 2018
182018
Detecting and diagnosing incipient building faults using uncertainty information from deep neural networks
B Jin, D Li, S Srinivasan, SK Ng, K Poolla, A Sangiovanni-Vincentelli
2019 IEEE International Conference on Prognostics and Health Management …, 2019
132019
Multivariate anomaly detection for time series data with generative adversarial networks
D Li, D Chen, L Shi, B Jin, J Goh, SKN Mad-gan
arXiv preprint arXiv:1901.04997, 2019
122019
Learning convex piecewise linear machine for data-driven optimal control
Y Zhou, B Jin, CJ Spanos
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
112015
A one-class support vector machine calibration method for time series change point detection
B Jin, Y Chen, D Li, K Poolla, A Sangiovanni-Vincentelli
2019 IEEE International Conference on Prognostics and Health Management …, 2019
72019
Single-step fabrication of superhydrophobic micro/nano dual-scale PDMS film replicated from ultra-low-surface-energy mold
XS Zhang, BH Jin, SG Chu, N Peter, FY Zhu, HX Zhang
2013 IEEE 26th International Conference on Micro Electro Mechanical Systems …, 2013
62013
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing
B Jin*, Y Tan*, A Nettekoven, Y Chen, Y Yue, U Topcu, ...
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
52019
Distribution System Voltage Control under Uncertainties using Tractable Chance Constraints
P Li, B Jin, D Wang, B Zhang
https://arxiv.org/abs/1704.08999v3, 2018
52018
A Contract-based Framework for Integrated Demand Response Management in Smart Grids
B Jin, P Nuzzo, M Maasoumy, Y Zhou, A Sangiovanni-Vincentelli
Proceedings of the 2nd ACM International Conference on Embedded Systems for …, 2015
52015
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI
Y Tan*, B Jin*, X Yue, Y Chen, A Sangiovanni Vincentelli
arXiv preprint arXiv:2007.06063, 2020
22020
Online computation of polytopic flexibility models for demand shifting applications
B Jin, M Maasoumy, P Nuzzo, A Sangiovanni-Vincentelli
2017 13th IEEE Conference on Automation Science and Engineering (CASE), 900-905, 2017
22017
Gordian SMT: Untangling Ranging Attacks in Noisy Sensor Networks for Secure Localization
M Weber, B Jin, G Lederman, Y Shoukry, EA Lee, SA Seshia, ...
22017
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?
B Jin, Y Tan, Y Chen, K Poolla
arXiv preprint arXiv:2007.03167, 2020
12020
Gordian: Formal Reasoning-based Outlier Detection for Secure Localization
M Weber, B Jin, G Lederman, Y Shoukry, EA Lee, S Seshia, ...
ACM Transactions on Cyber-Physical Systems 4 (4), 1-27, 2020
12020
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults
B Jin, Y Tan, Y Chen, A Sangiovanni-Vincentelli
arXiv preprint arXiv:1909.04202, 2019
12019
Super-Resolution Reconstruction of Interval Energy Data
J Lu, B Jin
arXiv preprint arXiv:2010.12678, 2020
2020
Using Ensemble Classifiers to Detect Incipient Anomalies
B Jin, Y Tan, A Liu, X Yue, Y Chen, A Sangiovanni Vincentelli
arXiv preprint arXiv:2008.08710, 2020
2020
Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation
Y Tan*, B Jin*, Q Cui, X Yue, A Sangiovanni Vincentelli
arXiv preprint arXiv:2008.08713, 2020
2020
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Articles 1–20