Fan Chung Graham
Statistical and Nonlinear Physics · 2000–2007
A researcher in the Science corpus: 8 papers; trusts 16 researchers and is trusted by 139 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 12 citations into it; #401 of 10,127 by trust here, #626 by citations
- Algorithms & Complexity — 10 citations into it
- Computational Theory and Mathematics — 8 citations into it; #326 of 12,182 by trust here, #364 by citations
- Scaling & Learning Theory — 7 citations into it
- Geometry and Topology — 6 citations into it; #1,488 of 7,422 by trust here, #1,249 by citations
- Computer Vision and Pattern Recognition — 5 citations into it; #4,048 of 21,575 by trust here, #6,873 by citations
Whom Fan Chung Graham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fan Chung
- Réka Albert
- Linyuan Lu
- Albert-László Barabási
- William Aiello
- Hawoong Jeong
- Jon M. Kleinberg
- Michael M. Mitzenmacher
- Daniel A. Spielman
- Jitendra Malik
Who trusts Fan Chung Graham overall
- Jure Leskovec
- Kevin J. Lang
- Remco van der Hofstad
- Fan Chung
- Michael W. Mahoney
- Anirban Dasgupta
- Charalampos E. Tsourakakis
- Roberto Imbuzeiro Oliveira
- Mark Newman
- T. Von
Papers from Fan Chung Graham's perspective
Ordered by how strongly the researchers Fan Chung Graham trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Authoritative sources in a hyperlinked environment
- Going deeper with convolutions
- Long Short-Term Memory
Their papers
- Spectral grouping using the Nystrom method (2004) — 1,518 citations
- Local Graph Partitioning using PageRank Vectors (2006) — 1,111 citations
- A random graph model for massive graphs (2000) — 1,014 citations
- The Average Distance in a Random Graph with Given Expected Degrees (2004) — 331 citations
- Concentration Inequalities and Martingale Inequalities: A Survey (2006) — 529 citations
- The Spectra of Random Graphs with Given Expected Degrees (2004) — 428 citations
- Internet and Network Economics, Third International Workshop, WINE 2007, San Diego, CA, USA, December 12-14, 2007, Proceedings (2007) — 316 citations
- A Random Graph Model for Power Law Graphs (2001) — 462 citations