Hong-Dong Li

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Control and Systems Engineering — 10 citations into it; #6,675 of 8,257 by trust here, #3,682 by citations
• Statistical Learning Theory — 5 citations into it

Whom Hong-Dong Li trusts overall

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

1. Vladimir Naumovich Vapnik
2. Vladimir Naumovich Vapni
3. Qingsong Xu
4. Bernhard Schölkopf
5. Nello Cristianini
6. Trevor J. Hastie
7. C. Burges
8. Yizeng Liang
9. Alex Smola
10. Michael W. Browne

Who trusts Hong-Dong Li overall

1. Bradley Worley
2. Robert Powers

Papers from Hong-Dong Li's perspective

Ordered by how strongly the researchers Hong-Dong Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Statistical learning theory
3. ImageNet classification with deep convolutional neural networks
4. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Support vector machines and its applications in chemistry (2009) — 334 citations
• An overview of variable selection methods in multivariate analysis of near-infrared spectra (2019) — 501 citations
• Model-population analysis and its applications in chemical and biological modeling (2012) — 99 citations