Bowen Jin
Artificial Intelligence · 2 papers · 2020–2023
A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 103 citations into it
- Molecular Biology — 32 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Natural Language Processing — 25 citations into it
- Information Systems — 24 citations into it
- Graph Learning — 19 citations into it
- Computational Chemistry & Drug Discovery — 13 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
Whom Bowen Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ilya Sutskever
- Kaiming He
- Xiangnan He
- Yann LeCun
- Jimmy Ba
- Max Welling
Who trusts Bowen Jin overall
Papers from Bowen Jin's perspective
Ordered by how strongly the researchers Bowen Jin 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
- 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
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Large Language Models on Graphs: A Comprehensive Survey (2023) — 322 citations
- Multi-behavior Recommendation with Graph Convolutional Networks (2020) — 441 citations