Junjie Zhu
Molecular Biology · with Hindson · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 48 citations into it; #6,282 of 17,773 by trust here, #2,832 by citations
- Artificial Intelligence — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Biophysics — 5 citations into it; #501 of 1,196 by trust here, #668 by citations
Whom Junjie Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael I. Jordan
- Geoffrey E. Hinton
- L. V. D. van der Maaten
- Brendan J. Frey
- Daniel D. Lee
- Francis R. Bach
- Chris H. Q. Ding
- Emma Pierson
- Sergios Theodoridis
- Mehmet Gönen
Who trusts Junjie Zhu overall
- Romain Lopez
- Malte D. Luecken
- Jeffrey C. Regier
- Jiarui Ding
- Vladimir Yu. Kiselev
- Hyunghoon Cho
- Il-Youp Kwak
- Chieh Hua Lin
- Andrew W. Butler
- Fabian J Theis
Papers from Junjie Zhu's perspective
Ordered by how strongly the researchers Junjie Zhu 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Massively parallel digital transcriptional profiling of single cells (2016) — 4,940 citations
- Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning (2016) — 650 citations
- Organoid modeling of the tumor immune microenvironment (2018) — 1,318 citations