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2020 – today
- 2022
[c12]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: 2836-2845- [i13]Mengqi Yao, Meghana Bharadwaj, Zheng Zhang, Baihong Jin, Duncan S. Callaway:
Predicting Electricity Infrastructure Induced Wildfire Risk in California. CoRR abs/2206.02930 (2022) - 2021
- [j4]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): 60-68 (2021) - [j3]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): 12073-12085 (2021) - [i12]Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Class-wise Thresholding for Detecting Out-of-Distribution Data. CoRR abs/2110.15292 (2021) - 2020
- [b1]Baihong Jin:
Incipient Anomaly Detection with Ensemble Learning. University of California, Berkeley, USA, 2020 - [j2]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): 43:1-43:27 (2020) - [c11]Jieyi Lu, Baihong Jin:
Super-Resolution Reconstruction of Interval Energy Data. BuildSys@SenSys 2020: 306-307 - [i11]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 abs/2007.03167 (2020) - [i10]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 abs/2007.06063 (2020) - [i9]Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Using Ensemble Classifiers to Detect Incipient Anomalies. CoRR abs/2008.08710 (2020) - [i8]Yingshui Tan, Baihong Jin, Qiushi Cui, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli:
Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation. CoRR abs/2008.08713 (2020) - [i7]Jieyi Lu, Baihong Jin:
Super-Resolution Reconstruction of Interval Energy Data. CoRR abs/2010.12678 (2020)
2010 – 2019
- 2019
- [c10]Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang:
A tractable ellipsoidal approximation for voltage regulation problems. ACC 2019: 1301-1306 - [c9]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: 703-716 - [c8]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: 1008-1015 - [c7]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: 1-5 - [c6]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: 1-8 - [i6]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 abs/1901.04997 (2019) - [i5]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 abs/1902.06361 (2019) - [i4]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 abs/1902.06366 (2019) - [i3]Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang:
A tractable ellipsoidal approximation for voltage regulation problems. CoRR abs/1903.03763 (2019) - [i2]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 abs/1907.11778 (2019) - [i1]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 abs/1909.04202 (2019) - 2018
- [j1]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): 1680-1699 (2018) - 2017
- [c5]Baihong Jin, Mehdi Maasoumy, Pierluigi Nuzzo, Alberto L. Sangiovanni-Vincentelli:
Online computation of polytopic flexibility models for demand shifting applications. CASE 2017: 900-905 - 2016
- [c4]Baihong Jin, Guojie Luo, Wentai Zhang:
A fast and accurate approach for common path pessimism removal in static timing analysis. ISCAS 2016: 2623-2626 - 2015
- [c3]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: 234-235 - [c2]Yuxun Zhou, Baihong Jin, Costas J. Spanos:
Learning Convex Piecewise Linear Machine for Data-Driven Optimal Control. ICMLA 2015: 966-972 - [c1]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: 167-176
Coauthor Index
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