Yanqing Zhang
Artificial Intelligence · 2002–2018
A researcher in the Science corpus: 7 papers; trusts 73 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #13,577 of 35,345 by trust here, #11,750 by citations
- Computational Theory and Mathematics — 25 citations into it; #7,619 of 12,182 by trust here, #4,059 by citations
- Psychiatry and Mental health — 24 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Neurology — 15 citations into it
- Radiology, Nuclear Medicine and Imaging — 14 citations into it
- Information Systems — 13 citations into it; #6,600 of 8,771 by trust here, #7,997 by citations
- Physiology — 11 citations into it
Whom Yanqing Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Heung-Il Suk
- Sergey Ioffe
- Christian Szegedy
- Alex Krizhevsky
- Christos Davatzikos
- Geoffrey E. Hinton
- Kaiming He
- Dinggang Shen
- Chih-Jen Lin
- Ilya Sutskever
Who trusts Yanqing Zhang overall
- Pei-Chann Chang
- George S. Atsalakis
- Kush R. Varshney
- Chin-Yuan Fan
- Monoranjan Bhowmik
- Qi Dong
- Kimon P. Valavanis
- Yu Li
- Samuel Rota Bulò
- Harsurinder Kaur
Papers from Yanqing Zhang's perspective
Ordered by how strongly the researchers Yanqing 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)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- SVMs Modeling for Highly Imbalanced Classification (2009) — 968 citations
- Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks (2018) — 403 citations
- A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information (2017) — 786 citations
- Granular neural web agents for stock prediction (2002) — 32 citations
- Interval Neutrosophic Sets and Logic: Theory and Applications in Computing (2005) — 744 citations
- Interval Neutrosophic Sets (2004) — 77 citations
- Support vector machines and Word2vec for text classification with semantic features (2015) — 446 citations