Feng Tian

Information Systems · with Chua · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 15 citations into it
• Artificial Intelligence — 14 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Feng Tian trusts overall

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

1. Xiangnan He

Papers from Feng Tian's perspective

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

1. Deep Neural Networks for YouTube Recommendations
2. Fast Matrix Factorization for Online Recommendation with Implicit Feedback
3. Neural Factorization Machines for Sparse Predictive Analytics (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
4. Modeling User Exposure in Recommendation
5. Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
6. TEM: Tree-enhanced Embedding Model for Explainable Recommendation
7. Adversarial Personalized Ranking for Recommendation (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
8. Neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. ImageNet classification with deep convolutional neural networks

Their papers

• Outer Product-based Neural Collaborative Filtering (2018) — 361 citations