Jianshan Sun

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Information Systems — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Jianshan Sun trusts overall

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

1. Leo Breiman
2. Robert E. Schapire
3. Jaka Demsar
4. Tin Kam Ho
5. Geoffrey I. Webb

Who trusts Jianshan Sun overall

1. Shijie Song
2. Hongfei Liu
3. Nour Moustafa

Papers from Jianshan Sun's perspective

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

1. The Nature of Statistical Learning Theory
2. Bagging Predictors
3. The Strength of Weak Learnability
4. ImageNet classification with deep convolutional neural networks
5. LOF: identifying density-based local outliers
6. MultiBoosting: A Technique for Combining Boosting and Wagging (Machine-mediated learning)
7. Statistical Comparisons of Classifiers over Multiple Data Sets
8. NIPS 2016 Tutorial: Generative Adversarial Networks
9. Estimating the Support of a High-Dimensional Distribution
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Exploring the effect of overload on the discontinuous intention of social media users: An S-O-R perspective (2018) — 421 citations
• An investigation on online reviews in sharing economy driven hospitality platforms: A viewpoint of trust (2019) — 332 citations
• Sentiment classification: The contribution of ensemble learning (2014) — 403 citations
• Generative Adversarial Active Learning for Unsupervised Outlier Detection (2018) — 355 citations