Bryan Hooi · National University of Singapore

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Works240 from public data

TitleCited by

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Proceedings of the AAAI Conference on Artificial Intelligence · 2021
1,589
Deep Long-Tailed Learning: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023
1,013
REV2
ACM International Conference on Web Search and Data Mining (WSDM) · 2018
469
FRAUDAR
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 2016
409
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
International Joint Conference on Artificial Intelligence · 2019
388
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
ACM Web Conference (WWW) · 2024
261
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
arXiv · 2023
244
Mixup for Node and Graph Classification
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
Proceedings of the Web Conference 2021 · 2021
243
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2024
184
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Proceedings of the AAAI Conference on Artificial Intelligence · 2022
171
NodeAug: Semi-Supervised Node Classification with Data Augmentation
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 2020
160
A Generalization of ViT/MLP-Mixer to Graphs
arXiv · 2022
152
FlowScope: Spotting Money Laundering Based on Graphs
Proceedings of the AAAI Conference on Artificial Intelligence · 2020
151
Midas: Microcluster-Based Detector of Anomalies in Edge Streams
AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 2020
127
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection
SIAM International Conference on Data Mining · 2016
127
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
arXiv · 2025
126
Time Series Anomaly Detection With Adversarial Reconstruction Networks
IEEE Transactions on Knowledge and Data Engineering · 2022
126
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks
Proceedings of the ... ACM International Conference on Information & Knowledge Management · 2021
114
GuardReasoner: Towards Reasoning-based LLM Safeguards
arXiv · 2025
105
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2025
103
When do contrastive learning signals help spatio-temporal graph forecasting?
ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · 2022
100
Graph-Based Fraud Detection in the Face of Camouflage
ACM Transactions on Knowledge Discovery from Data · 2017
97
M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees
Lecture notes in computer science · 2016
96
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 2022
94
A General Suspiciousness Metric for Dense Blocks in Multimodal Data
Proceedings · 2015
94

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

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