Zhongbin Sun

Artificial Intelligence · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Electrical and Electronic Engineering — 11 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Zhongbin Sun trusts overall

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

1. Leo Breiman
2. Trevor J. Hastie
3. Nitesh V. Chawla
4. Andrew P. Bradley
5. Jaka Demsar
6. Taghi M. Khoshgoftaar
7. Josef Kittler
8. Salvador Garcia
9. Hongyu Guo
10. Zhi-Hua Zhou

Who trusts Zhongbin Sun overall

1. Azal Ahmad Khan
2. Harsurinder Kaur
3. Chakkrit Kla Tantithamthavorn
4. Ahmed E. Hassan
5. Omkar Chaudhari
6. Husanbir Singh Pannu

Papers from Zhongbin Sun's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Bagging Predictors
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Random Forests
7. SMOTE: Synthetic Minority Over-sampling Technique
8. ImageNet: A large-scale hierarchical image database
9. The use of the area under the ROC curve in the evaluation of machine learning algorithms
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A novel ensemble method for classifying imbalanced data (2015) — 399 citations
• Data Quality: Some Comments on the NASA Software Defect Datasets (2013) — 538 citations