Jiaguang Sun
Artificial Intelligence · 2006–2018
A researcher in the Science corpus: 6 papers; trusts 122 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it; #6,004 of 35,345 by trust here, #6,064 by citations
- Computer Vision and Pattern Recognition — 38 citations into it; #10,865 of 21,575 by trust here, #8,296 by citations
- Representation & Self-Supervised Learning — 15 citations into it; #1,705 of 3,145 by trust here, #1,204 by citations
- Signal Processing — 13 citations into it
- Management Information Systems — 11 citations into it
- Information Systems — 8 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Jiaguang Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Alex Krizhevsky
- Geoffrey E. Hinton
- Sinno Jialin Pan
- Wil M.P. van der Aalst
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
- Karen Simonyan
- Diederik P. Kingma
Who trusts Jiaguang Sun overall
- Muhammad Ghifary
- Gabriella Csurka
- Jindong Wang
- Ming Shao
- Xu Zhang
- Jing Zhang
- Jian Liang
- Yen-Cheng Liu
- Tzu-Chien Fu
- Mingsheng Long
Papers from Jiaguang Sun's perspective
Ordered by how strongly the researchers Jiaguang Sun 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
- ImageNet: A large-scale hierarchical image database
- 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Transfer Joint Matching for Unsupervised Domain Adaptation (2014) — 717 citations
- Transfer Sparse Coding for Robust Image Representation (2013) — 197 citations
- Transfer Feature Learning with Joint Distribution Adaptation (2013) — 1,833 citations
- Mining process models with non-free-choice constructs (2007) — 341 citations
- DLFuzz: differential fuzzing testing of deep learning systems (2018) — 317 citations
- Analytic and algebraic properties of canal surfaces (2006) — 100 citations