Xingcheng Zhang
Artificial Intelligence · 2016–2024
A researcher in the Science corpus: 4 papers; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 117 citations into it
- Computer Vision and Pattern Recognition — 106 citations into it
- Model Architectures — 21 citations into it
- Optimization & Training — 7 citations into it
Whom Xingcheng Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Szegedy
- Kaiming He
- Geoffrey E. Hinton
- Sergey Ioffe
- Alex Krizhevsky
- Karen Simonyan
- Yoshua Bengio
- Ilya Sutskever
- Andrew Zisserman
- Yann LeCun
Who trusts Xingcheng Zhang overall
- Yubin Deng
- Radu Timofte
- Yiping Lu
- Manyuan Zhang
- Marco Ciccone
- Xilai Li
- Chen Change Loy
- Shuhang Gu
- Guanglu Song
- Aoxiao Zhong
Papers from Xingcheng Zhang's perspective
Ordered by how strongly the researchers Xingcheng Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- PolyNet: A Pursuit of Structural Diversity in Very Deep Networks (2016) — 279 citations
- InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition (2023) — 354 citations
- InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model (2024) — 387 citations
- InternLM2 Technical Report (2024) — 416 citations