Yuanchun Jiang

Artificial Intelligence · 2012–2018

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

Subfields

• Artificial Intelligence — 21 citations into it

Whom Yuanchun Jiang trusts overall

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

1. Charu C. Aggarwal

Who trusts Yuanchun Jiang overall

1. Mengting Wan

Papers from Yuanchun Jiang's perspective

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

1. Estimating the Support of a High-Dimensional Distribution
2. NIPS 2016 Tutorial: Generative Adversarial Networks
3. LOF: identifying density-based local outliers
4. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
5. Outlier Analysis (Springer: New York)
6. Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs (Knowledge Discovery and Data Mining)
7. Generative Adversarial Active Learning
8. Anomaly Detection with Robust Deep Autoencoders (Knowledge Discovery and Data Mining)
9. Using generative adversarial networks for improving classification effectiveness in credit card fraud detection (Information Sciences)
10. Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series (arXiv.org)

Their papers

• Optimization of Online Promotion: a Profit-Maximizing Model Integrating Price discount and Product Recommendation (2012) — 22 citations
• Redesigning Promotion Strategy For E-commerce Competitiveness Through Pricing and Recommendation (2015) — 68 citations
• Generative Adversarial Active Learning for Unsupervised Outlier Detection (2018) — 355 citations