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Jin, Baihong
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1

Predicting electricity infrastructure induced wildfire risk..:

Yao, Mengqi ; Bharadwaj, Meghana ; Zhang, Zheng..
Environmental Research Letters.  17 (2022)  9 - p. 094035 , 2022
Link: https://doi.org/10.1088/..
 
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2

Synthetic Data in DC Microgrids: Label Creation for Ensembl..:

Wang, Ting ; Tan, Yingshui ; Wang, Yibo...
IEEE Transactions on Power Delivery.  37 (2022)  3 - p. 2301-2313 , 2022
Link: https://doi.org/10.1109/..
 
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3

Class-wise Thresholding for Robust Out-of-Distribution Dete..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Guarrera, Matteo ; Jin, Baihong ; Lin, Tung-Wei... - p. 2836-2845 , 2022
Link: https://doi.org/10.1109/..
 
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4

One-class graph neural networks for anomaly detection in at..:

Wang, Xuhong ; Jin, Baihong ; Du, Ying...
Neural Computing and Applications.  33 (2021)  18 - p. 12073-12085 , 2021
Link: https://doi.org/10.1007/..
 
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5

Explainable AI for Chiller Fault-Detection Systems: Gaining..:

Srinivasan, Seshadhri ; Arjunan, Pandarasamy ; Jin, Baihong...
Computer.  54 (2021)  10 - p. 60-68 , 2021
Link: https://doi.org/10.1109/..
 
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6

Gordian : Formal Reasoning-based Outlier Detection for S..:

Weber, Matthew ; Jin, Baihong ; Lederman, Gil...
ACM Transactions on Cyber-Physical Systems.  4 (2020)  4 - p. 1-27 , 2020
Link: https://dl.acm.org/doi/1..
 
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7

Gordian: Formal Reasoning-based Outlier Detection for Secur..:

Weber, Matthew ; Jin, Baihong ; Lederman, Gil...
ACM Transactions on Cyber-Physical Systems.  4 (2020)  4 - p. 1-27 , 2020
Link: https://doi.org/10.1145/..
 
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8

Super-Resolution Reconstruction of Interval Energy Data:

, In: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation,
Lu, Jieyi ; Jin, Baihong - p. 306-307 , 2020
Link: https://dl.acm.org/doi/1..
 
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9

Detecting and Diagnosing Incipient Building Faults Using Un..:

, In: 2019 IEEE International Conference on Prognostics and Health Management (ICPHM),
Jin, Baihong ; Li, Dan ; Srinivasan, Seshadhri... - p. 1-8 , 2019
Link: https://doi.org/10.1109/..
 
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10

An Encoder-Decoder Based Approach for Anomaly Detection wit..:

, In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA),
Tan, Yingshui ; Jin, Baihong ; Nettekoven, Alexander... - p. 1008-1015 , 2019
Link: https://doi.org/10.1109/..
 
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11

MAD-GAN: Multivariate Anomaly Detection for Time Series Dat..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series; Lecture Notes in Computer Science,
Li, Dan ; Chen, Dacheng ; Jin, Baihong... - p. 703-716 , 2019
Link: https://doi.org/10.1007/..
 
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12

A One-Class Support Vector Machine Calibration Method for T..:

, In: 2019 IEEE International Conference on Prognostics and Health Management (ICPHM),
Jin, Baihong ; Chen, Yuxin ; Li, Dan.. - p. 1-5 , 2019
Link: https://doi.org/10.1109/..
 
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13

Design Automation for Smart Building Systems:

Jia, Ruoxi ; Jin, Baihong ; Jin, Ming...
Proceedings of the IEEE.  106 (2018)  9 - p. 1680-1699 , 2018
Link: https://doi.org/10.1109/..
 
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14

Evaluation of a cost-responsive supply air temperature rese..:

Raftery, Paul ; Li, Shuyang ; Jin, Baihong...
Energy and Buildings.  158 (2018)  - p. 356-370 , 2018
Link: https://doi.org/10.1016/..
 
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15

A Contract-based Framework for Integrated Demand Response M..:

, In: Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments,
Jin, Baihong ; Nuzzo, Pierluigi ; Maasoumy, Mehdi.. - p. 167-176 , 2015
Link: https://dl.acm.org/doi/1..
 
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