Jiayuan Huang
Artificial Intelligence · 2005–2009
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 91 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #2,685 of 35,345 by trust here, #2,425 by citations
- Statistics and Probability — 10 citations into it; #1,420 of 12,932 by trust here, #567 by citations
- Computer Vision and Pattern Recognition — 8 citations into it; #12,772 of 21,575 by trust here, #6,326 by citations
- Statistical Learning Theory — 7 citations into it
- Representation & Self-Supervised Learning — 5 citations into it; #499 of 3,145 by trust here, #404 by citations
Whom Jiayuan Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bianca Zadrozny
- Jianbo Shi
- Grace Wahba
- Bernhard Schölkopf
- Dengyong Zhou
- Arthur Gretton
- Yi Lin
- Shahar Mendelson
- Ioannis Tsochantaridis
- Jitendra Malik
Who trusts Jiayuan Huang overall
- Masashi Sugiyama
- Lixin Duan
- Mingming Gong
- Qiang Yang
- Wouter M. Kouw
- Corinna Cortes
- Gabriella Csurka
- Dacheng Tao
- Wen Li
- Boqing Gong
Papers from Jiayuan Huang's perspective
Ordered by how strongly the researchers Jiayuan Huang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Covariate Shift by Kernel Mean Matching (2009) — 699 citations
- Correcting Sample Selection Bias by Unlabeled Data (2006) — 1,918 citations
- Learning from labeled and unlabeled data on a directed graph (2005) — 474 citations
- Learning with Hypergraphs: Clustering, Classification, and Embedding (2006) — 1,589 citations