Bryan Hooi - Concepedia

Author

Bryan Hooi

Also Known As

Andrey Kravchenko, Bryan Hooi, Cheng, Xu, Guo, Jiafeng, He, Yufei, Hooi, Bryan, Kan, Min-Yen, Li, Stan Z., Lim, Hoon Wei, Luu, Anh Tuan

281

Publications

5.7K

Citations

H-Index

162

Concepts

All Affiliations

National University of Singapore Carnegie Mellon University Institute of Computing Technology Chinese Academy of Sciences Nanyang Technological University

About

Bryan Hooi is an author at National University of Singapore specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	30	55	4.6K
2	Business	15	17	2.2K
3	Arts	4	4	187
4	Education	1	1	35
5	Language Studies	1	1	25

Bryan Hooi

Publications

5.1K

Citations

H-Index

Page 1

	Year	Citations
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Ailin Deng, Bryan Hooi Proceedings of the AAAI Conference on Artificial Intelligence Anomaly DetectionMachine LearningEngineeringExplains AnomaliesNetwork Analysis	2021	1K
Deep Long-Tailed Learning: A Survey Yifan Zhang, Bingyi Kang, Bryan Hooi, IEEE Transactions on Pattern Analysis and Machine Intelligence Convolutional Neural NetworkEngineeringMachine LearningImage ClassificationImage Analysis	2023	522
REV2 Srijan Kumar, Bryan Hooi, Disha Makhija, Trust MetricCustomer ReviewEngineeringData ScienceRev2 Algorithm	2018	351
FRAUDAR Bryan Hooi, Hyun Ah Song, Alex Beutel, Fraud DetectionEngineeringInformation ForensicsCommunicationRumor Spreading	2016	291
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series Bin Zhou, Shenghua Liu, Bryan Hooi, Data AugmentationEcg Time SeriesAnomaly DetectionMachine LearningData Science	2019	259
Mixup for Node and Graph Classification Yiwei Wang, Wei Wang, Yuxuan Liang,	2021	132
NodeAug: Semi-Supervised Node Classification with Data Augmentation Yiwei Wang, Wei Wang, Yuxuan Liang, Data AugmentationGraph Neural NetworkGraph Convolutional NetworksMachine LearningData Science	2020	122
FlowScope: Spotting Money Laundering Based on Graphs Xiangfeng Li, Shenghua Liu, Zifeng Li, Proceedings of the AAAI Conference on Artificial Intelligence Fraud DetectionEngineeringNetwork AnalysisInformation ForensicsData Science	2020	117
Time Series Anomaly Detection With Adversarial Reconstruction Networks Shenghua Liu, Bin Zhou, Quan Ding, IEEE Transactions on Knowledge and Data Engineering Data AugmentationAdversarial Reconstruction NetworksAnomaly DetectionMachine LearningData Science	2022	94
A General Suspiciousness Metric for Dense Blocks in Multimodal Data Meng Jiang, Alex Beutel, Peng Cui, Abuse DetectionEngineeringMachine LearningSocial Medium MonitoringBiometrics	2015	92

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