Baihong Jin (金柏宏)

Cituota

	Visi	Nuo 2020
Šaltiniai	1861	1772
h-rodyklė	11	11
i10-rodyklė	13	12

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4 straipsniai

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Bendraautoriai

Alberto Sangiovanni VincentelliProfessor of EECS, University of California, BerkeleyPatvirtintas el. paštas eecs.berkeley.edu
Dan Li (李丹)PhD, EEE @ NTU; Associate Professor, SSE @ SYSUPatvirtintas el. paštas e.ntu.edu.sg
Yuxin ChenUniversity of Chicago, Assistant Professor of Computer SciencePatvirtintas el. paštas uchicago.edu
See-Kiong NgInstitute of Data Science and School of Computing, National University of SingaporePatvirtintas el. paštas nus.edu.sg
Yuxun ZhouEECS, UC Berkeley; Quantitative Researcher, Citadel SecuritiesPatvirtintas el. paštas berkeley.edu
Pierluigi NuzzoEECS Department, University of California, BerkeleyPatvirtintas el. paštas eecs.berkeley.edu
Costas SpanosProfessor of Electrical Engineering and Computer Sciences, University of California, BerkeleyPatvirtintas el. paštas berkeley.edu
Stefano SchiavonProfessor of Architecture and Civil & Environmental Engineering, UC BerkeleyPatvirtintas el. paštas berkeley.edu
Joyce KimAssistant Professor, Civil & Environmental Engineering, University of WaterlooPatvirtintas el. paštas berkeley.edu
Han ZouGenAI, MetaPatvirtintas el. paštas ntu.edu.sg
Baosen ZhangKeith and Nancy Rattie Endowed Career Development Professor, University of WashingtonPatvirtintas el. paštas uw.edu
Dai WangTeslaPatvirtintas el. paštas tesla.com
Pan LIUniversity of WashingtonPatvirtintas el. paštas uw.edu
Yisong YueCalifornia Institute of Technology; Asari AI; Latitude AIPatvirtintas el. paštas caltech.edu
Ufuk TopcuThe University of Texas at AustinPatvirtintas el. paštas utexas.edu
Xiangyu YueAssistant Professor at The Chinese University of Hong KongPatvirtintas el. paštas eecs.berkeley.edu
Paul RafteryProfessional Researcher, Center for the Built Environment, University of California BerkeleyPatvirtintas el. paštas berkeley.edu
Mehdi MaasoumyPhD, University of California, BerkeleyPatvirtintas el. paštas berkeley.edu
Yasser ShoukryUniversity of California, IrvinePatvirtintas el. paštas uci.edu
Sanjit A. SeshiaProfessor of EECS, University of California, BerkeleyPatvirtintas el. paštas eecs.berkeley.edu

Stebėti

Baihong Jin (金柏宏)

Kiti vardai金柏宏

Millennium

Patvirtintas el. paštas eecs.berkeley.edu - Pagrindinis puslapis

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


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	1239	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	143	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	7	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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