Lijuan Cao

Artificial Intelligence · Neurocomputing · 2001–2005

A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 125 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #1,864 of 35,345 by trust here, #5,187 by citations
• Scaling & Learning Theory — 7 citations into it
• Control and Systems Engineering — 6 citations into it; #128 of 8,257 by trust here, #585 by citations
• Statistical Learning Theory — 5 citations into it

Whom Lijuan Cao trusts overall

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

1. Vladimir Naumovich Vapni
2. Alex Smola
3. Bernhard Schölkopf
4. Vladimir Naumovich Vapnik
5. Teuvo Kohonen
6. Steven J. Nowlan
7. Thorsten Joachims
8. Ramesh Sharda
9. Andreas S. Weigend
10. Geoffrey E. Hinton

Who trusts Lijuan Cao overall

1. Stephan K. Chalup
2. Xiaodong Li
3. Chi-Jie Lu
4. Jae H. Min
5. A. Navon
6. Abhijit Sharang
7. Rui Pedro Barbosa
8. Shom Prasad Das
9. Andreas Mitschele
10. Takashi Matsubara

Papers from Lijuan Cao's perspective

Ordered by how strongly the researchers Lijuan Cao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Application of support vector machines in !nancial time series forecasting (2001) — 1,029 citations
• Financial Forecasting Using Support Vector Machines (2001) — 425 citations
• Support vector machine with adaptive parameters in financial time series forecasting (2003) — 1,018 citations
• Modified support vector machines in financial time series forecasting (2002) — 388 citations
• Support vector machines experts for time series forecasting (2003) — 420 citations
• Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting (2005) — 54 citations
• A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine (2003) — 604 citations