Yongzhi Zhang
Automotive Engineering · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 18 citations into it; #2,369 of 3,081 by trust here, #1,222 by citations
- Electrical and Electronic Engineering — 14 citations into it; #13,057 of 16,539 by trust here, #6,854 by citations
- Safety, Risk, Reliability and Quality — 7 citations into it; #996 of 1,220 by trust here, #280 by citations
- Artificial Intelligence — 5 citations into it
Whom Yongzhi Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Ilya Sutskever
- Oriol Vinyals
- Yoshua Bengio
- Dan Simon
- Geoffrey E. Hinton
- Martin A. Riedmiller
- Nitish Srivastava
- Alex Krizhevsky
- Alex Graves
Who trusts Yongzhi Zhang overall
- Yandan Tan
- Daoquan Chen
- Prashant Shrivastava
- Xuning Feng
- Jorge F. Arinez
- Guangcai Zhao
- Wei-Cheng Hong
- Tey Kok Soon
- Caihao Weng
- Qing Chang
Papers from Yongzhi Zhang's perspective
Ordered by how strongly the researchers Yongzhi 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries (2018) — 992 citations
- Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles (2019) — 352 citations
- Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation (2017) — 206 citations