U. Kang
Artificial Intelligence · with Faloutsos · 2009–2012
A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #10,297 of 35,345 by trust here, #15,866 by citations
- Computer Networks and Communications — 16 citations into it
- Information Systems — 14 citations into it; #1,916 of 8,771 by trust here, #3,198 by citations
- Statistical and Nonlinear Physics — 10 citations into it; #1,782 of 10,127 by trust here, #2,708 by citations
- Hardware and Architecture — 9 citations into it; #306 of 1,551 by trust here, #618 by citations
- Computational Mathematics — 8 citations into it; #270 of 612 by trust here, #372 by citations
- Computational Theory and Mathematics — 8 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it; #5,647 of 21,575 by trust here, #8,612 by citations
Whom U. Kang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jon M. Kleinberg
- Muthu Dayalan
- Tamara G. Kolda
- Gene H. Golub
- Mark Newman
- Christos Faloutsos
- Piotr Indyk
- Jimeng Sun
- Charalampos E. Tsourakakis
- Ralf Lämmel
Who trusts U. Kang overall
- Bryan Perozzi
- Yucheng Low
- Charalampos E. Tsourakakis
- Evangelos E. Papalexakis
- Joseph E. Gonzalez
- Jimmy J. Lin
- Semih Salihoglu
- Juzheng Li
- Joon Hee Choi
- A. D. Almeida
Papers from U. Kang's perspective
Ordered by how strongly the researchers U. Kang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- The Anatomy of a Large-Scale Hypertextual Web Search Engine
- Long Short-Term Memory
- Authoritative sources in a hyperlinked environment
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations (2009) — 733 citations
- GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries (2012) — 304 citations
- Fast Random Walk Graph Kernel (2012) — 143 citations
- DOULION: counting triangles in massive graphs with a coin (2009) — 361 citations