Hanjing Zhu
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #6,545 of 35,345 by trust here, #5,424 by citations
- Computer Vision and Pattern Recognition — 23 citations into it; #4,589 of 21,575 by trust here, #4,048 by citations
- Representation & Self-Supervised Learning — 19 citations into it; #853 of 3,145 by trust here, #740 by citations
Whom Hanjing Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sinno Jialin Pan
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Arthur Gretton
- Kaiming He
- Yann LeCun
- Ilya Sutskever
- Diederik P. Kingma
- Bernhard Schölkopf
Who trusts Hanjing Zhu overall
- Zhangjie Cao
- Kuniaki Saito
- Mingsheng Long
- Xingchao Peng
- Yi-Hsuan Tsai
- Jianmin Wang
- Tatsuya Harada
- Jogendra Nath Kundu
- Garrett Wilson
- Yogesh Kumar Balaji
Papers from Hanjing Zhu's perspective
Ordered by how strongly the researchers Hanjing 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)
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Unsupervised Domain Adaptation with Residual Transfer Networks (2016) — 1,609 citations