Zhongyuan Wang

Artificial Intelligence · International Conference on Information and Knowledge Management · 2013–2021

A researcher in the Science corpus: 8 papers; trusts 484 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 191 citations into it; #30,207 of 35,345 by trust here, #9,092 by citations
• Computer Vision and Pattern Recognition — 171 citations into it
• Natural Language Processing — 51 citations into it
• Representation & Self-Supervised Learning — 50 citations into it
• Information Systems — 48 citations into it
• Model Architectures — 44 citations into it
• Large Language Models — 22 citations into it
• Graph Learning — 19 citations into it

Whom Zhongyuan Wang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Yoshua Bengio
7. Yann LeCun
8. Ilya Sutskever
9. Yoon Kim
10. Karen Simonyan

Who trusts Zhongyuan Wang overall

1. Hongwei Wang
2. Shervin Minaee
3. Fuzheng Zhang

Papers from Zhongyuan Wang's perspective

Ordered by how strongly the researchers Zhongyuan Wang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval (2021) — 172 citations
• Table Fact Verification with Structure-Aware Transformer (2020) — 75 citations
• Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification (2017) — 321 citations
• CAT: Cross Attention in Vision Transformer (2021) — 316 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
• Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems (2019) — 660 citations
• A Distributed Graph Engine for Web Scale RDF Data (2013) — 346 citations