Baihong Jin (金柏宏)

About Baihong Jin (金柏宏)

Baihong Jin (金柏宏), With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Anomaly Detection, Smart Building, Machine Learning, Cyber-Physical Systems, Internet of Things.

His recent articles reflect a diverse array of research interests and contributions to the field:

Class-wise thresholding for robust out-of-distribution detection

Explainable AI for chiller fault-detection systems: gaining human trust

One-class graph neural networks for anomaly detection in attributed networks

Super-Resolution Reconstruction of Interval Energy Data

Using Ensemble Classifiers to Detect Incipient Anomalies

Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation

Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI

Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?

Baihong Jin (金柏宏) Information

University

Position

PhD Student in EECS

Citations(all)

1297

Citations(since 2020)

1268

Cited By

278

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Baihong Jin (金柏宏) Skills & Research Interests

Anomaly Detection

Smart Building

Machine Learning

Cyber-Physical Systems

Internet of Things

Top articles of Baihong Jin (金柏宏)

Class-wise thresholding for robust out-of-distribution detection

2022

Explainable AI for chiller fault-detection systems: gaining human trust

Computer

2021/9/24

One-class graph neural networks for anomaly detection in attributed networks

Neural computing and applications

2021/9

Super-Resolution Reconstruction of Interval Energy Data

2020/11/18

Using Ensemble Classifiers to Detect Incipient Anomalies

arXiv preprint arXiv:2008.08710

2020/8/20

Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation

arXiv preprint arXiv:2008.08713

2020/8/20

Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI

arXiv preprint arXiv:2007.06063

2020/7/12

Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?

arXiv preprint arXiv:2007.03167

2020/7/7

Incipient anomaly detection with ensemble learning

2020

See List of Professors in Baihong Jin (金柏宏) University(University of California, Berkeley)

Co-Authors

academic-engine