Zecheng Tang
Artificial Intelligence · 2023
A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it
- Computer Vision and Pattern Recognition — 38 citations into it
Whom Zecheng Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zecheng Tang's perspective
Ordered by how strongly the researchers Zecheng Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Microsoft COCO: Common Objects in Context
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
Their papers
- Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models (2023) — 869 citations