Shan Jiang
Transportation · Computers, Environment and Urban Systems · 2012–2017
A researcher in the Science corpus: 6 papers; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Transportation — 95 citations into it; #1,180 of 2,062 by trust here, #430 by citations
- Statistical and Nonlinear Physics — 35 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Signal Processing — 18 citations into it
- Molecular Biology — 17 citations into it
- Geography, Planning and Development — 15 citations into it
- Computer Networks and Communications — 11 citations into it
- Artificial Intelligence — 10 citations into it
Whom Shan Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marta C. González
- Yu Zheng
- Chaoming Song
- Ramaswamy Hariharan
- Michael Batty
- Christian M. Schneider
- James Franklin
- Klaus Nordhausen
- Pu Wang
- Albert-László Barabási
Who trusts Shan Jiang overall
- Cynthia Chen
- Yuren Zhou
- Marta C. González
- Joseph Ferreira Jr.
- Song Gao
- Francesco Calabrese
- Hugo Barbosa
- Wenze Yue
- Billy Pik Lik Lau
- Jingtao Ma
Papers from Shan Jiang's perspective
Ordered by how strongly the researchers Shan Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2017) — 435 citations
- The TimeGeo modeling framework for urban mobility without travel surveys (2016) — 336 citations
- Origin-destination trips by purpose and time of day inferred from mobile phone data (2015) — 634 citations
- Mining point-of-interest data from social networks for urban land use classification and disaggregation (2015) — 330 citations
- A review of urban computing for mobile phone traces: current methods, challenges and opportunities (2013) — 298 citations
- Clustering daily patterns of human activities in the city (2012) — 302 citations