Menglei Hu
Computer Vision and Pattern Recognition · with Chen · 2018
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 10 citations into it; #12,144 of 21,575 by trust here, #20,756 by citations
- Artificial Intelligence — 7 citations into it; #19,360 of 35,345 by trust here, #33,294 by citations
Whom Menglei Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chris H. Q. Ding
- Shaoyuan Li
- Deguang Kong
- Shiliang Sun
- Tao Li
- Yuan Jiang
- Daniel D. Lee
- Michael I. Jordan
- Radford M. Neal
- Steffen Bickel
Who trusts Menglei Hu overall
Papers from Menglei Hu's perspective
Ordered by how strongly the researchers Menglei Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Learning the parts of objects by non-negative matrix factorization
- 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)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Convex and Semi-Nonnegative Matrix Factorizations
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Doubly Aligned Incomplete Multi-view Clustering (2018) — 317 citations