Biao Jiang
Computer Vision and Pattern Recognition · 2022–2023
A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 70 citations into it
- Control and Systems Engineering — 35 citations into it
- Artificial Intelligence — 29 citations into it
- Generative Models — 20 citations into it
- Large Language Models — 16 citations into it
- Natural Language Processing — 9 citations into it
- Statistical and Nonlinear Physics — 9 citations into it
Whom Biao Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alec Radford
- Diederik P. Kingma
- Geoffrey E. Hinton
- Jonathan Ho
- Yoshua Bengio
- Chuan Guo
- Alex Krizhevsky
- Kaiming He
- Ilya Sutskever
- Yann LeCun
Who trusts Biao Jiang overall
Papers from Biao Jiang's perspective
Ordered by how strongly the researchers Biao Jiang 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- MotionGPT: Human Motion as a Foreign Language (2023) — 638 citations
- Executing your Commands via Motion Diffusion in Latent Space (2022) — 696 citations