Fuzheng Zhang

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 15 papers; trusts 346 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 337 citations into it; #4,027 of 35,345 by trust here, #2,975 by citations
• Information Systems — 192 citations into it; #375 of 8,771 by trust here, #172 by citations
• Computer Vision and Pattern Recognition — 143 citations into it
• Representation & Self-Supervised Learning — 112 citations into it
• Natural Language Processing — 84 citations into it
• Recommender Systems — 76 citations into it; #45 of 233 by trust here, #33 by citations
• Graph Learning — 68 citations into it
• Management Science and Operations Research — 60 citations into it

Whom Fuzheng Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Steffen Rendle
3. Diederik P. Kingma
4. Yoshua Bengio
5. Ilya Sutskever
6. Alex Krizhevsky
7. Yann LeCun
8. Antoine Bordes
9. Kaiming He
10. Tomas Mikolov

Who trusts Fuzheng Zhang overall

1. Hongwei Wang
2. Xiangnan He
3. Xiang Wang
4. Xing Xie
5. Xiaohan Zou
6. Qingyu Guo
7. Qingyao Ai
8. Chuhan Wu
9. Yongfeng Zhang
10. Shiwen Wu

Papers from Fuzheng Zhang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Table Fact Verification with Structure-Aware Transformer (2020) — 75 citations
• Collaborative Knowledge Base Embedding for Recommender Systems (2016) — 1,809 citations
• DRN: A Deep Reinforcement Learning Framework for News Recommendation (2018) — 748 citations
• GraphGAN: Graph Representation Learning with Generative Adversarial Nets (2017) — 698 citations
• ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer (2021) — 639 citations
• S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization (2020) — 1,154 citations
• Multi-modal Knowledge Graphs for Recommender Systems (2020) — 337 citations
• Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation (2019) — 536 citations
• Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems (2019) — 660 citations
• Sequential Recommender System based on Hierarchical Attention Networks (2018) — 423 citations
• xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems (2018) — 1,240 citations
• RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems (2018) — 1,246 citations
• DKN: Deep Knowledge-Aware Network for News Recommendation (2018) — 1,195 citations
• Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems (2018) — 34 citations
• SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction (2017) — 343 citations