Liang Hu

Information Systems · with Cao · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 25 citations into it
• Artificial Intelligence — 17 citations into it
• Recommender Systems — 6 citations into it
• Marketing — 5 citations into it

Whom Liang Hu trusts overall

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

1. Thomas Hofmann
2. Steffen Rendle
3. Paul Resnick
4. Yehuda Koren
5. Nati Srebro
6. Balázs Hidasi
7. Tamara G. Kolda
8. Ajit Paul Singh
9. Xiaoyuan Su
10. Yifan Hu

Who trusts Liang Hu overall

1. Hao Wang
2. Guangneng Hu
3. Sheng Li
4. Iván Cantador
5. Wancai Zhang
6. Hongwei Wang
7. Jian Wei
8. Weike Pan
9. Yu Zhang
10. Naiyan Wang

Papers from Liang Hu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Sequential Recommender Systems: Challenges, Progress and Prospects (2019) — 517 citations
• Personalized recommendation via cross-domain triadic factorization (2013) — 273 citations