Chao Zhang
Computational Mechanics · with Black · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 26 citations into it; #4,131 of 10,001 by trust here, #5,157 by citations
- Computer Vision and Pattern Recognition — 25 citations into it; #9,696 of 21,575 by trust here, #14,478 by citations
- Computational Mathematics — 15 citations into it; #483 of 612 by trust here, #543 by citations
- Artificial Intelligence — 6 citations into it
- Signal Processing — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Chao Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jorge Nocedal
- Leonid Sigal
- Dariu M. Gavrila
- Gerard Pons-Moll
- Michael J. Black
- B. Recht
- Alexandru O. Balan
- Dragomir Anguelov
- Nils Hasler
- Federica Bogo
Who trusts Chao Zhang overall
- Gerard Pons-Moll
- Bharat Lal Bhatnagar
- Thiemo Alldieck
- Zeng Huang
- Christian Theobalt
- Zerong Zheng
- Yuliang Xiu
- Michael J. Black
- Jinlong Yang
- Timo von Marcard
Papers from Chao Zhang's perspective
Ordered by how strongly the researchers Chao Zhang 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences (2017) — 301 citations
- Tensor Factorization for Low-Rank Tensor Completion (2018) — 345 citations