Hao-Wen Dong
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 75 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 34 citations into it; #15,458 of 21,575 by trust here, #13,269 by citations
- Generative Models — 26 citations into it; #1,477 of 1,956 by trust here, #1,435 by citations
- Signal Processing — 23 citations into it; #5,260 of 7,572 by trust here, #3,566 by citations
- Artificial Intelligence — 16 citations into it
- Natural Language Processing — 7 citations into it
- Multimodal Learning — 6 citations into it; #821 of 1,211 by trust here, #920 by citations
Whom Hao-Wen Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Colin Raffel
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Olof Mogren
- Gaëtan Hadjeres
- Hang Chu
- Li-Chia Yang
- Alex Krizhevsky
- Jimmy Ba
Who trusts Hao-Wen Dong overall
- Yu-Siang Huang
- Yi-Hsuan Yang
- Ian Simon
- Chris Donahue
- Andrew Campbell
- Ziyu Wang
- Gino Brunner
- Huanru Henry Mao
Papers from Hao-Wen Dong's perspective
Ordered by how strongly the researchers Hao-Wen Dong 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images