Fang-Lan Huang

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #13,705 of 35,345 by trust here, #24,417 by citations
• Optimization & Training — 5 citations into it

Whom Fang-Lan Huang trusts overall

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

1. Chih-Jen Lin
2. Robert Malouf
3. S. Sathiya Keerthi
4. Koby Crammer
5. Dong C. Liu
6. Chih-Wei Hsu
7. Dan Jurafsky
8. Ruby Chiu-Hsing Weng
9. Michael Collins
10. Cho-Jui Hsieh

Who trusts Fang-Lan Huang overall

1. Panagiotis Adamopoulos
2. Hsiang-Fu Yu
3. Gabriele Tolomei
4. Cho-Jui Hsieh
5. Guo-Xun Yuan
6. Mounia Lalmas
7. Yong Zhuang
8. Rong-En Fan
9. Kenneth Tran
10. Josua Krause

Papers from Fang-Lan Huang's perspective

Ordered by how strongly the researchers Fang-Lan Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. On the Learnability and Design of Output Codes for Multiclass Problems
5. Trust Region Newton Method for Logistic Regression
6. A dual coordinate descent method for large-scale linear SVM
7. On the limited memory BFGS method for large scale optimization
8. Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Dual coordinate descent methods for logistic regression and maximum entropy models (2011) — 411 citations