Junbin Gao
Computer Vision and Pattern Recognition · 2004–2017
A researcher in the Science corpus: 4 papers; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 36 citations into it
- Computational Mechanics — 22 citations into it
- Artificial Intelligence — 21 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Signal Processing — 9 citations into it
Whom Junbin Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Zhouchen Lin
- A. Hinge
- Mikhail Belkin
- Shuicheng Yan
- Feiping Nie
- Jian-Feng Cai
- Dimitri P. Bertsekas
- Yi Ma
- John Wright
Who trusts Junbin Gao overall
Papers from Junbin Gao's perspective
Ordered by how strongly the researchers Junbin Gao 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization (2017) — 375 citations
- Sensitivity analysis applied to the construction of radial basis function networks (2005) — 66 citations
- Chemometrics: From Basics to Wavelet Transform (2004) — 71 citations
- Ieee Transactions on Pattern Analysis and Machine Intelligence Laplacian Regularized Low-rank Representation and Its Applications