Baihong Jin

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 26

Top Topics

Unsupervised Learning

Ensemble Classifier

Top Venues

BuildSys@SenSys

Publications

Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
Class-wise Thresholding for Robust Out-of-Distribution Detection. CVPR Workshops (2022)
Mengqi Yao, Meghana Bharadwaj, Zheng Zhang, Baihong Jin, Duncan S. Callaway
Predicting Electricity Infrastructure Induced Wildfire Risk in California. CoRR (2022)
Seshadhri Srinivasan, Pandarasamy Arjunan, Baihong Jin, Alberto L. Sangiovanni-Vincentelli, Zuraimi Sultan, Kameshwar Poolla
Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust. Computer 54 (10) (2021)
Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
Class-wise Thresholding for Detecting Out-of-Distribution Data. CoRR (2021)
Xuhong Wang, Baihong Jin, Ying Du, Ping Cui, Yingshui Tan, Yupu Yang
One-class graph neural networks for anomaly detection in attributed networks. Neural Comput. Appl. 33 (18) (2021)
Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
Using Ensemble Classifiers to Detect Incipient Anomalies. CoRR (2020)
Matthew Weber, Baihong Jin, Gil Lederman, Yasser Shoukry, Edward A. Lee, Sanjit Seshia, Alberto L. Sangiovanni-Vincentelli
Gordian: Formal Reasoning-based Outlier Detection for Secure Localization. ACM Trans. Cyber Phys. Syst. 4 (4) (2020)
Yingshui Tan, Baihong Jin, Qiushi Cui, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli
Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation. CoRR (2020)
Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI. CoRR (2020)
Jieyi Lu, Baihong Jin
Super-Resolution Reconstruction of Interval Energy Data. CoRR (2020)
Jieyi Lu, Baihong Jin
Super-Resolution Reconstruction of Interval Energy Data. BuildSys@SenSys (2020)
Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults? CoRR (2020)
Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. CoRR (2019)
Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang
A tractable ellipsoidal approximation for voltage regulation problems. ACC (2019)
Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang
A tractable ellipsoidal approximation for voltage regulation problems. CoRR (2019)
Dan Li, Dacheng Chen, Lei Shi, Baihong Jin, Jonathan Goh, See-Kiong Ng
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. CoRR (2019)
Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. ICPHM (2019)
Dan Li, Dacheng Chen, Baihong Jin, Lei Shi, Jonathan Goh, See-Kiong Ng
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. ICANN (4) (2019)
Baihong Jin, Yingshui Tan, Alexander J. Nettekoven, Yuxin Chen, Ufuk Topcu, Yisong Yue, Alberto L. Sangiovanni-Vincentelli
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. CoRR (2019)
Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. ICPHM (2019)
Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. ICMLA (2019)
Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. CoRR (2019)
Baihong Jin, Yingshui Tan, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults. CoRR (2019)
Ruoxi Jia, Baihong Jin, Ming Jin, Yuxun Zhou, Ioannis C. Konstantakopoulos, Han Zou, Joyce Kim, Dan Li, Weixi Gu, Reza Arghandeh, Pierluigi Nuzzo, Stefano Schiavon, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos
Design Automation for Smart Building Systems. Proc. IEEE 106 (9) (2018)
Baihong Jin, Mehdi Maasoumy, Pierluigi Nuzzo, Alberto L. Sangiovanni-Vincentelli
Online computation of polytopic flexibility models for demand shifting applications. CASE (2017)
Baihong Jin, Guojie Luo, Wentai Zhang
A fast and accurate approach for common path pessimism removal in static timing analysis. ISCAS (2016)
Guojie Luo, Baihong Jin, Wentai Zhang
A Fast and Simple Block-Based Approach for Common Path Pessimism Removal in Static Timing Analysis. CAD/Graphics (2015)
Baihong Jin, Pierluigi Nuzzo, Mehdi Maasoumy, Yuxun Zhou, Alberto L. Sangiovanni-Vincentelli
A Contract-based Framework for Integrated Demand Response Management in Smart Grids. BuildSys@SenSys (2015)
Yuxun Zhou, Baihong Jin, Costas J. Spanos
Learning Convex Piecewise Linear Machine for Data-Driven Optimal Control. ICMLA (2015)