Xiaodong Jia

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Xiaodong Jia trusts overall

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

1. Tim Miller
2. Wes McKinney
3. Peter Willett
4. Marco Tulio Ribeiro
5. Scott M. Lundberg
6. L. Curry

Papers from Xiaodong Jia's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. A Survey on Transfer Learning
3. Scikit-learn: Machine Learning in Python
4. TensorFlow: A system for large-scale machine learning
5. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
6. Explanation in Artificial Intelligence: Insights from the Social Sciences
7. A Unified Approach to Interpreting Model Predictions
8. SMOTE: Synthetic Minority Over-sampling Technique
9. Good Semi-supervised Learning That Requires a Bad GAN
10. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems

Their papers

• Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook (2020) — 425 citations
• A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery (2017) — 286 citations