Zhe Wang

Artificial Intelligence · with Gai · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Information Systems — 16 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Recommender Systems — 5 citations into it

Whom Zhe Wang trusts

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

1. Tong Zhang (in Artificial Intelligence)
2. Steffen Rendle (in Artificial Intelligence)
3. Tom Fawcett (in Information Systems)
4. Dimitri P. Bertsekas (in Optimization & Training)

Papers from Zhe Wang's perspective

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

1. Deep Neural Networks for YouTube Recommendations
2. Greedy function approximation: A gradient boosting machine.
3. Factorization Machines
4. Nonlinear Programming
5. Ad click prediction: a view from the trenches
6. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
7. Hierarchical Mixtures of Experts and the EM Algorithm
8. Wide & Deep Learning for Recommender Systems
9. Scalable training of L1-regularized log-linear models
10. Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)

Their papers

• Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction (2020) — 457 citations
• Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction (2017) — 91 citations