Xiaoming Li
Artificial Intelligence · with Jiang · 2008–2018
A researcher in the Science corpus: 9 papers; trusts 33 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 72 citations into it; #19,496 of 35,345 by trust here, #11,624 by citations
- Information Systems — 34 citations into it; #6,227 of 8,771 by trust here, #2,101 by citations
- Natural Language Processing — 26 citations into it; #5,197 of 5,688 by trust here, #3,421 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #19,875 of 21,575 by trust here, #11,286 by citations
- Statistical and Nonlinear Physics — 16 citations into it; #8,759 of 10,127 by trust here, #2,928 by citations
- Signal Processing — 11 citations into it
- Sociology and Political Science — 8 citations into it
- Statistics and Probability — 6 citations into it
Whom Xiaoming Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Jerome H. Friedman
- Geoffrey E. Hinton
- Bo Pang
- Yoshua Bengio
- Ilya Sutskever
- Leo Breiman
- Oriol Vinyals
- David M. Blei
- Diederik P. Kingma
Who trusts Xiaoming Li overall
Papers from Xiaoming Li's perspective
Ordered by how strongly the researchers Xiaoming Li 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Et al
Their papers
- Neural Generative Question Answering (2015) — 218 citations
- Evolutionary timeline summarization: a balanced optimization framework via iterative substitution (2011) — 204 citations
- Elastic sketch: adaptive and fast network-wide measurements (2018) — 662 citations
- Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets (2015) — 85 citations
- Exploring demographic information in social media for product recommendation (2015) — 77 citations
- We know what you want to buy: a demographic-based system for product recommendation on microblogs (2014) — 161 citations
- Comparing Twitter and Traditional Media Using Topic Models (2011) — 1,335 citations
- Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid (2010) — 449 citations
- Geometry-Based Edge Clustering for Graph Visualization (2008) — 347 citations