Xiaodong Li
Artificial Intelligence · with Wang · 2014–2020
A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it; #20,552 of 35,345 by trust here, #19,018 by citations
- Management Science and Operations Research — 49 citations into it; #6,254 of 11,946 by trust here, #3,247 by citations
- Economics and Econometrics — 25 citations into it
- Finance — 20 citations into it
- Electrical and Electronic Engineering — 18 citations into it; #7,063 of 16,539 by trust here, #13,553 by citations
- Time-Series & Forecasting — 17 citations into it; #226 of 381 by trust here, #306 by citations
- Natural Language Processing — 13 citations into it
- Control and Systems Engineering — 9 citations into it
Whom Xiaodong Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert P. Schumaker
- Lijuan Cao
- G. Huang
- Hsinchun Chen
- Chi-Yuan Yeh
- Robi Polikar
- Teuvo Kohonen
- Janyce Wiebe
- Bo Pang
- Yoshua Bengio
Who trusts Xiaodong Li overall
- A. Ozbayoglu
- Omer Berat Sezer
- Weiwei Jiang
- M. Ugur Gudelek
- Olivier Kraaijeveld
- Dang Lien Minh
- Ziniu Hu
- Dat Thanh Tran
- Martin Magris
- Adamantios Ntakaris
Papers from Xiaodong Li's perspective
Ordered by how strongly the researchers Xiaodong Li 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- News impact on stock price return via sentiment analysis (2014) — 487 citations
- Empirical analysis: stock market prediction via extreme learning machine (2014) — 161 citations
- Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information (2014) — 64 citations
- Market impact analysis via deep learned architectures (2018) — 18 citations
- Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong (2020) — 319 citations