Han-Ming Wu
Artificial Intelligence · 2008
A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it; #12,422 of 35,345 by trust here, #30,347 by citations
- Statistical Learning Theory — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it; #8,255 of 21,575 by trust here, #19,310 by citations
- Representation & Self-Supervised Learning — 5 citations into it
Whom Han-Ming Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher K. I. Williams
- Bernhard Schölkopf
- Vladimir Naumovich Vapni
- Alex Smola
- Ker-Chau Li
- Francis R. Bach
- Roman Rosipal
- B. G
- Michael I. Jordan
- Sebastian Mika
Who trusts Han-Ming Wu overall
- Minyoung Kim
- Krikamol Muandet
- Vladimir I. Pavlovic
- David Balduzzi
- Bernhard Schölkopf
- Bing Li
- Kenji Fukumizu
Papers from Han-Ming Wu's perspective
Ordered by how strongly the researchers Han-Ming Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Kernel Sliced Inverse Regression with Applications to Classification (2008) — 141 citations