Xin Gao

Molecular Biology · Nucleic Acids Res. · 2006–2020

A researcher in the Science corpus: 16 papers; trusts 239 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 217 citations into it; #12,276 of 17,773 by trust here, #7,205 by citations
• Artificial Intelligence — 129 citations into it; #28,462 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 70 citations into it
• Computational Biology & Bioinformatics — 55 citations into it
• Computational Theory and Mathematics — 43 citations into it
• Model Architectures — 37 citations into it
• Optimization & Training — 35 citations into it
• Representation & Self-Supervised Learning — 33 citations into it

Whom Xin Gao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yoshua Bengio
5. Diederik P. Kingma
6. Yann LeCun
7. Ilya Sutskever
8. Kuo-Chen Chou
9. Chih-Jen Lin
10. Christian Szegedy

Who trusts Xin Gao overall

1. Noelia Ferruz
2. Yu Zhang

Papers from Xin Gao's perspective

Ordered by how strongly the researchers Xin Gao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• PlasmoDB: a functional genomic database for malaria parasites (2008) — 1,194 citations
• Deep learning in bioinformatics: introduction, application, and perspective in big data era (2019) — 335 citations
• NFAT dysregulation by increased dosage of DSCR1 and DYRK1A on chromosome 21 (2006) — 690 citations
• Using OrthoMCL to assign proteins to OrthoMCL-DB groups or to cluster proteomes into new ortholog groups (2011) — 450 citations
• DEEPre: sequence-based enzyme EC number prediction by deep learning (2017) — 268 citations
• RNA Secondary Structure Prediction By Learning Unrolled Algorithms (2020) — 137 citations
• PointSite: a point cloud segmentation tool for identification of protein ligand binding atoms (2019) — 54 citations
• BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning approaches (2019) — 354 citations
• Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics (2020) — 75 citations
• mlDEEPre: Multi-Functional Enzyme Function Prediction With Hierarchical Multi-Label Deep Learning (2019) — 105 citations
• Confidence Weighted Multitask Learning (2019) — 7 citations
• SupportNet: solving catastrophic forgetting in class incremental learning with support data (2018) — 31 citations
• Robust Online Multi-Task Learning with Correlative and Personalized Structures (2017) — 19 citations
• CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction (2016) — 75 citations
• TriTrypDB: a functional genomic resource for the Trypanosomatidae (2009) — 966 citations
• ToxoDB: an integrated Toxoplasma gondii database resource (2007) — 490 citations