Baihong Jin (金柏宏)

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	1843	1754
h-index	11	11
i10-index	13	12

500

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125

375

20162017201820192020202120222023202420258 4 14 57 149 244 345 471 484 61

Nyilvános hozzáférés

Összes megtekintése

13 cikk

4 cikk

elérhető

nem érhető el

Finanszírozási megbízások alapján

Társszerzők

Alberto Sangiovanni VincentelliProfessor of EECS, University of California, BerkeleyE-mail megerősítve itt: eecs.berkeley.edu
Dan Li (李丹)PhD, EEE @ NTU; Associate Professor, SSE @ SYSUE-mail megerősítve itt: e.ntu.edu.sg
Yuxin ChenUniversity of Chicago, Assistant Professor of Computer ScienceE-mail megerősítve itt: uchicago.edu
See-Kiong NgInstitute of Data Science and School of Computing, National University of SingaporeE-mail megerősítve itt: nus.edu.sg
Yuxun ZhouEECS, UC Berkeley; Quantitative Researcher, Citadel SecuritiesE-mail megerősítve itt: berkeley.edu
Pierluigi NuzzoEECS Department, University of California, BerkeleyE-mail megerősítve itt: eecs.berkeley.edu
Costas SpanosProfessor of Electrical Engineering and Computer Sciences, University of California, BerkeleyE-mail megerősítve itt: berkeley.edu
Stefano SchiavonProfessor of Architecture and Civil & Environmental Engineering, UC BerkeleyE-mail megerősítve itt: berkeley.edu
Joyce KimAssistant Professor, Civil & Environmental Engineering, University of WaterlooE-mail megerősítve itt: berkeley.edu
Han ZouGenAI, MetaE-mail megerősítve itt: ntu.edu.sg
Baosen ZhangKeith and Nancy Rattie Endowed Career Development Professor, University of WashingtonE-mail megerősítve itt: uw.edu
Dai WangTeslaE-mail megerősítve itt: tesla.com
Pan LIUniversity of WashingtonE-mail megerősítve itt: uw.edu
Yisong YueCalifornia Institute of Technology; Asari AI; Latitude AIE-mail megerősítve itt: caltech.edu
Ufuk TopcuThe University of Texas at AustinE-mail megerősítve itt: utexas.edu
Xiangyu YueAssistant Professor at The Chinese University of Hong KongE-mail megerősítve itt: eecs.berkeley.edu
Paul RafteryProfessional Researcher, Center for the Built Environment, University of California BerkeleyE-mail megerősítve itt: berkeley.edu
Mehdi MaasoumyPhD, University of California, BerkeleyE-mail megerősítve itt: berkeley.edu
Yasser ShoukryUniversity of California, IrvineE-mail megerősítve itt: uci.edu
Sanjit A. SeshiaProfessor of EECS, University of California, BerkeleyE-mail megerősítve itt: eecs.berkeley.edu

Követés

Baihong Jin (金柏宏)

További nevek金柏宏

Millennium

E-mail megerősítve itt: eecs.berkeley.edu - Kezdőlap

Anomaly Detection Smart Building Machine Learning Cyber-Physical Systems Internet of Things


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
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	1225	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, 12073-12085, 2021	140	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	115	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	73	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	42	2019
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	39	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	39	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	39	2018
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	29	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	12	2016
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
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	11	2019
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	9	2020
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	9	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
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	6	2021
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	5	2020
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
Online computation of polytopic flexibility models for demand shifting applications B Jin, M Maasoumy, P Nuzzo, A Sangiovanni-Vincentelli 2017 13th IEEE Conference on Automation Science and Engineering (CASE), 900-905, 2017	4	2017

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