Jason Zhu
Finance · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Finance — 43 citations into it; #9,455 of 10,518 by trust here, #9,725 by citations
- Economics and Econometrics — 20 citations into it; #20,799 of 23,481 by trust here, #22,128 by citations
- Management Science and Operations Research — 20 citations into it
- Accounting — 19 citations into it
- Strategy and Management — 11 citations into it
- Optimization & Training — 7 citations into it
- Statistics and Probability — 7 citations into it
- Economics & Operations Research — 5 citations into it
Whom Jason Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eugene F. Fama
- Markus Pelger
- Serena Ng
- Gary Chamberlain
- Sydney C. Ludvigson
- Kenneth R. French
- Martin Lettau
- John H. Cochrane
- Diederik P. Kingma
- Sebastian Ruder
Who trusts Jason Zhu overall
Papers from Jason Zhu's perspective
Ordered by how strongly the researchers Jason Zhu trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
Their papers
- Forest Through the Trees: Building Cross-Sections of Stock Returns (2020) — 84 citations
- Deep Learning in Asset Pricing (2019) — 358 citations