Yujin Zhang
Computer Vision and Pattern Recognition · 2009–2017
A researcher in the Science corpus: 7 papers; trusts 688 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 141 citations into it; #6,298 of 21,575 by trust here, #3,459 by citations
- Media Technology — 46 citations into it
- Artificial Intelligence — 45 citations into it; #23,285 of 35,345 by trust here, #24,417 by citations
- Model Architectures — 17 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Optimization & Training — 15 citations into it
- Computational Mechanics — 14 citations into it
- Generative Models — 13 citations into it
Whom Yujin Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- David M. Blei
- Hugo Larochelle
- Yoshua Bengio
- Alex Krizhevsky
- Ruslan Salakhutdinov
- Diederik P. Kingma
- Michael I. Jordan
- Yann LeCun
- Nitish Srivastava
Who trusts Yujin Zhang overall
- Yin Zheng
- Yu-Xiong Wang
- Lazhar Khelifi
- Mohammad Abu Alsheikh
- Bangsheng Tang
- Yong Guo
- Kaiye Wang
- John Arevalo
- Zubair Muhammad Fadlullah
- Joyce Ho
Papers from Yujin Zhang's perspective
Ordered by how strongly the researchers Yujin 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Neural Autoregressive Approach to Attention-based Recognition (2015) — 30 citations
- NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
- Learning to Super-Resolve Blurry Face and Text Images (2017) — 223 citations
- Nonnegative Matrix Factorization: A Comprehensive Review (2013) — 937 citations
- Topic Modeling of Multimodal Data: An Autoregressive Approach (2014) — 70 citations
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data (2014) — 63 citations
- SENSC: a Stable and Efficient Algorithm for Nonnegative Sparse Coding: SENSC: a Stable and Efficient Algorithm for Nonnegative Sparse Coding (2009) — 213 citations