Yinhai Wang
Building and Construction · IEEE transactions on intelligent transportation systems (Print) · 2006–2020
A researcher in the Science corpus: 15 papers; trusts 158 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Building and Construction — 112 citations into it; #227 of 2,909 by trust here, #119 by citations
- Transportation — 89 citations into it; #619 of 2,062 by trust here, #258 by citations
- Artificial Intelligence — 79 citations into it
- Control and Systems Engineering — 69 citations into it; #1,805 of 8,257 by trust here, #410 by citations
- Computer Networks and Communications — 38 citations into it
- Electrical and Electronic Engineering — 31 citations into it
- Model Architectures — 31 citations into it
- Signal Processing — 31 citations into it; #6,397 of 7,572 by trust here, #1,273 by citations
Whom Yinhai Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- David A. Wagner
- Yoshua Bengio
- Adrian Perrig
- Alex Graves
- J. Urgen Schmidhuber
- Sepp Hochreiter
- Wenliang Du
- Josep Domingo-Ferrer
- Donggang Liu
Who trusts Yinhai Wang overall
- Zhiyong Cui
- David Alexander Tedjopurnomo
- Xiaolei Ma
- Saeed Rahmani
- Weibin Zhang
- Ruimin Ke
- Jinjun Tang
- Li Zhu
- Senzhang Wang
- Pardeep Kumar
Papers from Yinhai Wang's perspective
Ordered by how strongly the researchers Yinhai Wang 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
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Adsorption removal of congo red onto magnetic cellulose/Fe3O4/activated carbon composite: Equilibrium, kinetic and thermodynamic studies (2011) — 414 citations
- Accessibility Impacts of China's High-Speed Rail Network (2013) — 236 citations
- Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values (2020) — 430 citations
- Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019) — 363 citations
- Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018) — 464 citations
- Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2018) — 905 citations
- High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2018) — 82 citations
- Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017) — 1,306 citations
- An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic (2017) — 334 citations
- Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities (2015) — 120 citations
- Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015) — 2,059 citations
- Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory (2015) — 484 citations
- Mining smart card data for transit riders’ travel patterns (2013) — 601 citations
- Time-of-use based electricity demand response for sustainable manufacturing systems (2013) — 211 citations
- A survey of security issues in wireless sensor networks (2006) — 1,070 citations