Ling Li
Artificial Intelligence · with Lin · 2006–2007
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #21,130 of 35,345 by trust here, #24,417 by citations
Whom Ling Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Yoav Freund
- Koby Crammer
- Wei Chu
- Robert E. Schapire
- Vladimir Naumovich Vapni
- Yoram Singer
- S. Sathiya Keerthi
- Thore Graepel
- Amnon Shashua
Who trusts Ling Li overall
- Kuang-Yu Chang
- Zhenxing Niu
- Bin Gu
- Michael Moret
- Berk Ustun
- Chu-Song Chen
- Mo Zhou
- Victor S. Sheng
- Mark D. Reid
- Tan Minh Nguyen
Papers from Ling Li's perspective
Ordered by how strongly the researchers Ling Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Large Margin Rank Boundaries for Ordinal Regression
- Large Margin Classification Using the Perceptron Algorithm
- Pranking with Ranking (Neural Information Processing Systems)
- Ranking with Large Margin Principle: Two Approaches (Neural Information Processing Systems)
- New approaches to support vector ordinal regression (International Conference on Machine Learning)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Statistical learning theory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
Their papers
- Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent (2007) — 21 citations
- Ordinal Regression by Extended Binary Classification (2006) — 315 citations