Teng Zhang

Artificial Intelligence · with An · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Teng Zhang trusts overall

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

1. Chih-Jen Lin
2. Emanuel Parzen

Papers from Teng Zhang's perspective

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

1. LIBSVM: A library for support vector machines
2. Et al
3. LIBLINEAR: A Library for Large Linear Classification
4. Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
5. Is Feature Selection Secure against Training Data Poisoning?
6. Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
7. Annals of Mathematical Statistics
8. ImageNet classification with deep convolutional neural networks
9. Gradient-based learning applied to document recognition
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Efficient Label Contamination Attacks Against Black-Box Learning Models (2017) — 74 citations