Jinjun Liang

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Management Science and Operations Research — 13 citations into it; #4,206 of 11,946 by trust here, #6,024 by citations
• Reinforcement Learning — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Economics and Econometrics — 7 citations into it
• Optimization & Training — 7 citations into it

Whom Jinjun Liang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Liang Bin
2. John E. Moody
3. Diederik P. Kingma
4. Paul J. Werbos
5. Kunihiko Fukushima
6. Steven C. H. Hoi
7. Geoffrey E. Hinton
8. Sepp Hochreiter
9. Mu Li
10. Anthony Dewayne Hunt

Who trusts Jinjun Liang overall

1. A. Ozbayoglu
2. Zhengyao Jiang
3. M. Ugur Gudelek
4. Nguyen Cong Luong

Papers from Jinjun Liang's perspective

Ordered by how strongly the researchers Jinjun Liang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Human-level control through deep reinforcement learning
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem (2017) — 471 citations
• Cryptocurrency portfolio management with deep reinforcement learning (2016) — 240 citations