Hongyu Miao
Molecular Biology · 2011–2017
A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 82 citations into it
- Computational Theory and Mathematics — 34 citations into it
- Control and Systems Engineering — 8 citations into it
- Artificial Intelligence — 7 citations into it
Whom Hongyu Miao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Calyampudi R. Rao
- Lawrence F. Shampine
- Yoshua Bengio
- Geoffrey E. Hinton
- Floris Takens
- Alan S. Perelson
- Hugo Larochelle
- Pedro Mendes
- Minoru Kanehisa
- James J. P. Stewart
Who trusts Hongyu Miao overall
Papers from Hongyu Miao's perspective
Ordered by how strongly the researchers Hongyu Miao 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)
- A Fast Learning Algorithm for Deep Belief Nets
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- This PDF file includes: Materials and Methods
- Learning Multiple Layers of Features from Tiny Images
- Learning Deep Architectures for AI
Their papers
- RegNetwork: an integrated database of transcriptional and post-transcriptional regulatory networks in human and mouse (2015) — 496 citations
- A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines (2017) — 375 citations
- ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computation (2015) — 349 citations
- ON IDENTIFIABILITY OF NONLINEAR ODE MODELS AND APPLICATIONS IN VIRAL DYNAMICS (2011) — 655 citations
- BioTriangle: a web-accessible platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions (2016) — 49 citations