Yu Zhu

Information Systems · with Feng · 2019

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 — 18 citations into it

Whom Yu Zhu trusts overall

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

1. Balázs Hidasi

Papers from Yu Zhu's perspective

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

1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
2. Attention is All you Need (Neural Information Processing Systems)
3. Item-based collaborative filtering recommendation algorithms
4. Session-based Recommendations with Recurrent Neural Networks
5. Et al
6. Deep Neural Networks for YouTube Recommendations
7. Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
8. Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
9. Wide & Deep Learning for Recommender Systems
10. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Their papers

• Deep Session Interest Network for Click-Through Rate Prediction (2019) — 346 citations