Jiong Yang
Information Systems · Knowledge Discovery and Data Mining · 2002–2004
A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 13 citations into it; #3,618 of 8,771 by trust here, #3,761 by citations
- Artificial Intelligence — 12 citations into it; #12,093 of 35,345 by trust here, #15,542 by citations
- Signal Processing — 10 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it; #11,285 of 21,575 by trust here, #17,258 by citations
- Computational Theory and Mathematics — 5 citations into it
- Computer Networks and Communications — 5 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Jiong Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yizong Cheng
- Vladimir Naumovich Vapnik
- Thorsten Joachims
- C. Burges
- Alex Smola
- George M. Church
- Ronan Collobert
- Mohammed J. Zaki
- Olvi L. Mangasarian
- Xifeng Yan
Who trusts Jiong Yang overall
- Stanislav Busygin
- Oleg A. Prokopyev
- Daxin Jiang
- Liping Jing
- Lance Parsons
- Haixun Wang
- P. Pardalos
- Rui Xu
- Tak-Chung Fu
- Ivor Wai-Hung Tsang
Papers from Jiong Yang's perspective
Ordered by how strongly the researchers Jiong Yang 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Classifying large data sets using SVMs with hierarchical clusters (2003) — 353 citations
- Enhanced biclustering on expression data (2003) — 341 citations
- SPIN: mining maximal frequent subgraphs from graph databases (2004) — 381 citations
- Clustering by pattern similarity in large data sets (2002) — 581 citations
- /spl delta/-clusters: capturing subspace correlation in a large data set (2002) — 365 citations