Standout Papers

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network 2019 2026 2021 2023 259
  1. Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network (2019)
    Fangzhou Liao, Ming Liang et al. IEEE Transactions on Neural Networks and Learning Systems

Immediate Impact

1 from Science/Nature 54 standout
Sub-graph 1 of 22

Citing Papers

A Comprehensive Survey of Continual Learning: Theory, Method and Application
2024 Standout
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations
2024 Standout
5 intermediate papers

Works of Xiaolin Hu being referenced

Online Knowledge Distillation via Collaborative Learning
2020
Dynamic Network Pruning with Interpretable Layerwise Channel Selection
2020

Author Peers

Author Last Decade Papers Cites
Xiaolin Hu 767 808 165 319 104 2.2k
Minho Lee 463 529 216 158 116 1.7k
Pedro P. Rebouças Filho 773 701 207 149 110 2.9k
Han Li 593 710 118 155 140 2.5k
S. Osowski 586 331 580 312 143 2.6k
M. Hassaballah 820 980 108 134 73 2.3k
Dawid Połap 930 602 40 149 86 2.1k
Musaed Alhussein 611 476 132 289 139 2.6k
Chenxi Huang 322 562 108 332 90 2.1k
Feng Jiang 568 1005 184 82 134 2.6k
Yongmin Li 314 567 34 372 115 2.6k

All Works

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Rankless by CCL
2026