Jin Huang

Information Systems · with Chang · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 26 citations into it
• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Recommender Systems — 8 citations into it

Whom Jin Huang trusts overall

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

1. Steffen Rendle
2. Balázs Hidasi
3. Jason Aaron Edward Weston
4. Sepp Hochreiter
5. Antoine Bordes
6. Yehuda Koren
7. Yoshua Bengio
8. Geoffrey E. Hinton
9. Kyunghyun Cho
10. John C. Duchi

Who trusts Jin Huang overall

1. Kun Zhou
2. Hongwei Wang
3. Fei Sun
4. Xu Chen
5. Yikun Xian
6. Xiaowen Huang
7. Qingyu Guo
8. Yongfeng Zhang
9. Wayne Xin Zhao
10. Xiang Wang

Papers from Jin Huang's perspective

Ordered by how strongly the researchers Jin Huang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks (2018) — 541 citations