Chi-Jie Lu

Artificial Intelligence · 2002–2009

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #12,898 of 35,345 by trust here, #14,438 by citations
• Management Science and Operations Research — 10 citations into it
• Statistical Learning Theory — 9 citations into it
• Accounting — 8 citations into it; #3,185 of 8,970 by trust here, #4,459 by citations
• Statistics and Probability — 7 citations into it
• Analytical Chemistry — 6 citations into it; #614 of 1,254 by trust here, #515 by citations
• Signal Processing — 6 citations into it; #4,610 of 7,572 by trust here, #3,566 by citations
• Scaling & Learning Theory — 5 citations into it

Whom Chi-Jie Lu trusts overall

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

1. Vladimir Naumovich Vapnik
2. Aapo Hyvärinen
3. Lijuan Cao
4. Anthony J. Bell
5. Christian F. Beckmann
6. Chih-Wei Hsu
7. Francis Eng Hock Tay
8. Erkki Oja
9. Lyn C. Thomas
10. Mohamed A. Mohandes

Who trusts Chi-Jie Lu overall

1. Arash Bahrammirzaee
2. Chiun-Sin Lin
3. Zhiqiang Guo
4. Ming Jin
5. Sheng-Hsiung Chiu
6. Huaiqing Wang
7. Tian-Shyug Lee
8. Nabarun Deb
9. Koby Todros
10. Hussein A. Abdou

Papers from Chi-Jie Lu's perspective

Ordered by how strongly the researchers Chi-Jie Lu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Networks: A Comprehensive Foundation
2. Statistical learning theory
3. Gradient-based learning applied to document recognition
4. The Nature of Statistical Learning Theory
5. Independent Component Analysis
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet classification with deep convolutional neural networks
10. Fast and robust fixed-point algorithms for independent component analysis

Their papers

• Financial time series forecasting using independent component analysis and support vector regression (2009) — 547 citations
• Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2006) — 392 citations
• Credit scoring using the hybrid neural discriminant technique (2002) — 389 citations