Fusong Ju
Molecular Biology · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 61 citations into it
- Computational Biology & Bioinformatics — 44 citations into it
- Artificial Intelligence — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Model Architectures — 8 citations into it
Whom Fusong Ju trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Debora Marks
- David T. Jones
- Shaoqing Ren
- Stefan Seemayer
- Ross B. Girshick
- Sidhartha Chaudhury
- X. Zhang
- Jianwei Zhu
- Daniel W. A. Buchan
Who trusts Fusong Ju overall
Papers from Fusong Ju's perspective
Ordered by how strongly the researchers Fusong Ju trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction (2020) — 72 citations
- Exploring evolution-based & -free protein language models as protein function predictors (2022) — 16 citations
- ISSEC: inferring contacts among protein secondary structure elements using deep object detection (2020) — 6 citations