| 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 | 1610 | 2019 |
| One-class graph neural networks for anomaly detection in attributed networks X Wang, B Jin, Y Du, P Cui, Y Tan, Y Yang Neural computing and applications 33 (18), 12073-12085, 2021 | 193 | 2021 |
| 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 | 125 | 2018 |
| 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 | 84 | 2019 |
| 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 | 46 | 2019 |
| 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 | 46 | 2018 |
| Explainable AI for chiller fault-detection systems: Gaining human trust S Srinivasan, P Arjunan, B Jin, AL Sangiovanni-Vincentelli, Z Sultan, ... Computer 54 (10), 60-68, 2021 | 45 | 2021 |
| 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 | 43 | 2019 |
| 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 | 34 | 2018 |
| A fast and accurate approach for common path pessimism removal in static timing analysis B Jin, G Luo, W Zhang 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2623-2626, 2016 | 13 | 2016 |
| 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 | 12 | 2020 |
| 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 | 12 | 2019 |
| 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 | 12 | 2015 |
| 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 | 11 | 2020 |
| Synthetic data in DC microgrids: Label creation for ensemble learning for fault isolation T Wang, Y Tan, Y Wang, B Jin, A Monti, AL Sangiovanni-Vincentelli IEEE Transactions on Power Delivery 37 (3), 2301-2313, 2021 | 10 | 2021 |
| 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 | 10 | 2015 |
| 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 | 8 | 2013 |
| 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 | 6 | 2020 |
| Class-wise thresholding for robust out-of-distribution detection M Guarrera, B Jin, TW Lin, MA Zuluaga, Y Chen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 5 | 2022 |
| A tractable ellipsoidal approximation for voltage regulation problems P Li, B Jin, R Xiong, D Wang, A Sangiovanni-Vincentelli, B Zhang 2019 American Control Conference (ACC), 1301-1306, 2019 | 5 | 2019 |
Alberto Sangiovanni VincentelliProfessor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
