Zuobai Zhang
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 83 citations into it
- Molecular Biology — 59 citations into it
- Graph Learning — 52 citations into it
- Computational Biology & Bioinformatics — 30 citations into it
- Representation & Self-Supervised Learning — 30 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Statistical and Nonlinear Physics — 15 citations into it
- Information Systems — 9 citations into it
Whom Zuobai Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Thomas Kipf
- Yoshua Bengio
- Max Welling
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Yann LeCun
- Ilya Sutskever
- Martin Steinegger
Who trusts Zuobai Zhang overall
Papers from Zuobai Zhang's perspective
Ordered by how strongly the researchers Zuobai Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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 Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery (2022) — 88 citations
- Protein Representation Learning by Geometric Structure Pretraining (2022) — 328 citations
- Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction (2021) — 508 citations