Yonggang Lu

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Signal Processing — 10 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Yonggang Lu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. George Karypis
2. Ying Zhao
3. Fionn Murtagh
4. Teuvo Kohonen
5. Daniel Boley
6. Ulrike von Luxburg
7. Daniel Müllner
8. Roded Sharan

Papers from Yonggang Lu's perspective

Ordered by how strongly the researchers Yonggang Lu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Algorithms for Clustering Data
2. A tutorial on spectral clustering
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Cluster Analysis (Science)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. BIRCH: an efficient data clustering method for very large databases
9. Survey of clustering algorithms
10. Long Short-Term Memory

Their papers

• Comprehensive survey on hierarchical clustering algorithms and the recent developments (2022) — 329 citations