Yu-Chiang Li

Computational Theory and Mathematics · 2008

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 10 citations into it; #7,737 of 12,182 by trust here, #9,306 by citations
• Information Systems — 10 citations into it; #5,038 of 8,771 by trust here, #7,386 by citations
• Artificial Intelligence — 5 citations into it; #23,019 of 35,345 by trust here, #30,347 by citations

Whom Yu-Chiang Li trusts overall

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

1. Rakesh Agrawal
2. Ying Liu
3. Gösta Grahne
4. Hong Yao
5. W. Liao
6. Jiawei Han
7. Rayadurgam Srikant
8. Alok N. Choudhary
9. Jianfei Zhu
10. Howard J. Hamilton

Who trusts Yu-Chiang Li overall

1. Mengchi Liu
2. Philippe Fournier-Viger
3. Vincent Shin-Mu Tseng
4. Cheng-Wei Wu
5. Jun-Feng Qu

Papers from Yu-Chiang Li's perspective

Ordered by how strongly the researchers Yu-Chiang Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fast Algorithms for Mining Association Rules
2. Mining association rules between sets of items in large databases
3. Mining high utility itemsets (Third IEEE International Conference on Data Mining)
4. A Foundational Approach to Mining Itemset Utilities from Databases (SDM)
5. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach (Data mining and knowledge discovery)
6. Integrating Classification and Association Rule Mining
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Isolated items discarding strategy for discovering high utility itemsets (2008) — 341 citations