Chun Jimmie Ye
Molecular Biology · 2005–2023
A researcher in the Science corpus: 10 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 123 citations into it
- Computational Biology & Bioinformatics — 30 citations into it
Whom Chun Jimmie Ye trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven Henikoff (in Computational Biology & Bioinformatics)
- Michal Linial (in Molecular Biology)
- Dan Ofer (in Molecular Biology)
- Nadav Brandes (in Molecular Biology)
- Pauline Crystal Ng (in Computational Biology & Bioinformatics)
Papers from Chun Jimmie Ye's perspective
Ordered by how strongly the researchers Chun Jimmie Ye trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Algorithms for Hyper-Parameter Optimization
- Training Very Deep Networks
- Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Multiplexed droplet single-cell RNA-sequencing using natural genetic variation (2017) — 978 citations
- Assessing computational tools for the discovery of transcription factor binding sites (2005) — 1,411 citations
- Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures (2016) — 14 citations
- Generation of knock-in primary human T cells using Cas9 ribonucleoproteins (2015) — 675 citations
- Genome-wide prediction of disease variant effects with a deep protein language model (2023) — 348 citations
- CRISPR/Cas9-mediated PD-1 disruption enhances anti-tumor efficacy of human chimeric antigen receptor T cells (2016) — 652 citations
- Genome-wide prediction of disease variants with a deep protein language model (2022) — 19 citations
- Intratumoral CD4+ T cells mediate anti-tumor cytotoxicity in human bladder cancer (2020) — 604 citations
- Parsing the interferon transcriptional network and its disease associations (2016) — 300 citations
- Transethnic genetic correlation estimates from summary statistics (2016) — 321 citations