Standout Papers

Deep Long-Tailed Learning: A Survey 2021 2026 2022 2024491
  1. Deep Long-Tailed Learning: A Survey (2023)
    Yifan Zhang, Bingyi Kang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence
  2. Graph Neural Network-Based Anomaly Detection in Multivariate Time Series (2021)
    Ailin Deng, Bryan Hooi Proceedings of the AAAI Conference on Artificial Intelligence

Immediate Impact

1 from Science/Nature 51 standout
Sub-graph 1 of 23

Citing Papers

A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
2024 Standout
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
2024 Standout
2 intermediate papers

Works of Bryan Hooi being referenced

DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection
2023
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
2021 Standout

Author Peers

Author Last Decade Papers Cites
Bryan Hooi 769 100 175 370 315 44 1.1k
Ira Assent 931 98 189 265 500 63 1.4k
Jianghui Cai 582 51 205 232 150 65 1.2k
Manish Gupta 548 33 122 169 204 51 1.0k
Gautam Shroff 406 73 107 213 230 37 993
Yan Zhao 458 39 170 195 257 88 1.1k
Jae-Gil Lee 644 30 165 157 359 51 1.3k
Pietro Michiardi 332 31 206 398 162 59 867
Adil Fahad 602 58 186 296 194 26 991
Rajesh Kumar 482 29 310 338 212 38 1.1k
Rui Zhou 528 183 246 415 369 114 1.3k

All Works

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Rankless by CCL
2026