Xiaofeng Zhu
Computer Vision and Pattern Recognition · IEEE Transactions on Neural Networks and Learning Systems · 2013–2021
A researcher in the Science corpus: 7 papers; trusts 228 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 79 citations into it; #7,486 of 21,575 by trust here, #7,499 by citations
- Artificial Intelligence — 48 citations into it; #14,275 of 35,345 by trust here, #18,586 by citations
- Computational Mechanics — 16 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Media Technology — 10 citations into it
- Molecular Biology — 10 citations into it
- Statistics and Probability — 9 citations into it
- Information Systems — 8 citations into it
Whom Xiaofeng Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ruslan Salakhutdinov
- Yoshua Bengio
- Jason Aaron Edward Weston
- Kaiming He
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
- Antonio Torralba
Who trusts Xiaofeng Zhu overall
- Shichao Zhang
- Zhenyun Deng
- Yu Zhang
- Xuelong Li
- Xuelian Deng
- Mingsheng Long
- Ming Zong
- Miaomiao Cheng
- Debo Cheng
- Kaiye Wang
Papers from Xiaofeng Zhu's perspective
Ordered by how strongly the researchers Xiaofeng Zhu 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Online human gesture recognition from motion data streams (2013) — 91 citations
- Linear cross-modal hashing for efficient multimedia search (2013) — 297 citations
- Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview (2021) — 323 citations
- Efficient kNN Classification With Different Numbers of Nearest Neighbors (2018) — 1,148 citations
- Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection (2017) — 318 citations
- Learning k for kNN Classification (2017) — 736 citations
- Block-Row Sparse Multiview Multilabel Learning for Image Classification (2016) — 310 citations