Yucheng T. Yang
Molecular Biology · 2018–2022
A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 182 citations into it
- Artificial Intelligence — 5 citations into it
Whom Yucheng T. Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yves Dehouck
- Diederik P. Kingma
- Wouter Boomsma
- Emidio Capriotti
- Vijaya Parthiban
- Douglas E. V. Pires
- Mark A. DePristo
- Lijun Quan
- J. Jiménez
- Stephen F. Altschul
Papers from Yucheng T. Yang's perspective
Ordered by how strongly the researchers Yucheng T. Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Deep Boltzmann Machines
- Long Short-Term Memory
- TensorFlow: A system for large-scale machine learning
- Fast and accurate predictions of protein stability changes upon mutations using statistical potentials and neural networks: PoPMuSiC-2.0
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
Their papers
- Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder (2018) — 1,134 citations
- Comprehensive functional genomic resource and integrative model for the human brain (2018) — 946 citations
- Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks (2020) — 130 citations
- GENCODE: reference annotation for the human and mouse genomes in 2023 (2022) — 412 citations
- GENCODE 2021 (2020) — 1,026 citations