Jintao Ke
Transportation · 2017–2021
A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Transportation — 50 citations into it; #896 of 2,062 by trust here, #330 by citations
- Automotive Engineering — 37 citations into it
- Building and Construction — 33 citations into it; #1,198 of 2,909 by trust here, #692 by citations
- Marketing — 27 citations into it
Whom Jintao Ke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hai Yang
- Alex Graves
- Yann LeCun
- Yu Wei
- Geoffrey E. Hinton
- Xiaolei Ma
- Ilya Sutskever
- Robin Genuer
- Niels A. H. Agatz
- Yoshua Bengio
Who trusts Jintao Ke overall
- Senzhang Wang
- Yilun Du
- Saeed Rahmani
- Lei Bai
- Ling Cai
- Ling Zhao
- Matthew Veres
- Jiannong Cao
- Karthik Narasimhan
- Asiye Baghbani
Papers from Jintao Ke's perspective
Ordered by how strongly the researchers Jintao Ke 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
- Gradient-based learning applied to document recognition
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults (2021) — 399 citations
- Pricing and equilibrium in on-demand ride-pooling markets (2020) — 202 citations
- Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018) — 1,258 citations
- A universal distribution law of network detour ratios (2018) — 81 citations
- Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach (2017) — 660 citations