• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 31 matches

• 2022
• 
  Xiaojuan Huang, Yangyang Fu, Jingjing Wang, Jie Dong, Yi Zheng, Baihong Pan, Sergii Skakun, Wenping Yuan:
  High-Resolution Mapping of Winter Cereals in Europe by Time Series Landsat and Sentinel Images for 2016-2020. Remote. Sens. 14(9): 2120 (2022)
• 
  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
• 
  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
• 
  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)
• 
  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)
• 
  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
• 
  Baihong Jin:
  Incipient Anomaly Detection with Ensemble Learning. University of California, Berkeley, USA, 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): 43:1-43:27 (2020)
• 
  Jieyi Lu, Baihong Jin:
  Super-Resolution Reconstruction of Interval Energy Data. BuildSys@SenSys 2020: 306-307
• 
  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)
• 
  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)
• 
  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)
• 
  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)
• 
  Jieyi Lu, Baihong Jin:
  Super-Resolution Reconstruction of Interval Energy Data. CoRR abs/2010.12678 (2020)
• 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: 1301-1306
• 
  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
• 
  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
• 
  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
• 
  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
• 
  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)
• 
  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)
• 
  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)
• 
  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)
• 
  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)
• 
  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
• 
  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
• 
  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
• 
  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
• 
  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
• 
  Yuxun Zhou, Baihong Jin, Costas J. Spanos:
  Learning Convex Piecewise Linear Machine for Data-Driven Optimal Control. ICMLA 2015: 966-972

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