Xueming Li
Structural Biology · with Wang · 2016–2022
A researcher in the Science corpus: 3 papers; trusts 91 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Structural Biology — 34 citations into it
- Artificial Intelligence — 33 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
- Molecular Biology — 20 citations into it
- Surfaces, Coatings and Films — 18 citations into it
- Computational Biology & Bioinformatics — 7 citations into it
- Optimization & Training — 6 citations into it
Whom Xueming Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Ross B. Girshick
- Shaoqing Ren
- Joseph Redmon
- Ilya Sutskever
- Tsung-Yi Lin
- Yann LeCun
- Yoshua Bengio
Papers from Xueming Li's perspective
Ordered by how strongly the researchers Xueming Li 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)
- ImageNet: A large-scale hierarchical image database
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Microsoft COCO: Common Objects in Context
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM (2016) — 194 citations
- EPicker is an exemplar-based continual learning approach for knowledge accumulation in cryoEM particle picking (2022) — 21 citations
- A particle-filter framework for robust cryo-EM 3D reconstruction (2018) — 50 citations