Hongwen He
Automotive Engineering · 2011–2021
A researcher in the Science corpus: 8 papers; trusts 15 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 104 citations into it; #645 of 3,081 by trust here, #663 by citations
- Electrical and Electronic Engineering — 98 citations into it; #4,335 of 16,539 by trust here, #3,822 by citations
- Artificial Intelligence — 10 citations into it
- Safety, Risk, Reliability and Quality — 10 citations into it; #997 of 1,220 by trust here, #280 by citations
Whom Hongwen He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dan Simon
- Robert Tibshirani
- Ilya Sutskever
- Yoshua Bengio
- Oriol Vinyals
- Geoffrey E. Hinton
- Rui Xiong
- Kandler A. Smith
- Martin A. Riedmiller
- Alex Krizhevsky
Who trusts Hongwen He overall
- Prashant Shrivastava
- Rui Xiong
- Hicham Chaoui
- Mahammad Abdul Hannan
- Mehdi Gholizadeh
- Tey Kok Soon
- Renzhi Lu
- Chinemerem Christopher Ibe-Ekeocha
- Jinhao Meng
- Yandan Tan
Papers from Hongwen He's perspective
Ordered by how strongly the researchers Hongwen He trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Dropout: a simple way to prevent neural networks from overfitting
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
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
- Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach (2013) — 414 citations
- State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model (2011) — 750 citations
- Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles (2018) — 829 citations
- Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation (2017) — 206 citations
- Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus (2018) — 370 citations
- Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement (2021) — 326 citations