Qinyong Wang

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it; #20,534 of 35,345 by trust here, #15,542 by citations
• Information Systems — 60 citations into it; #4,296 of 8,771 by trust here, #2,741 by citations
• Computer Vision and Pattern Recognition — 29 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Recommender Systems — 11 citations into it

Whom Qinyong Wang trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Sepp Hochreiter
6. Alex Krizhevsky
7. Steffen Rendle
8. R. Devon Hjelm
9. Ashish Vaswani
10. Xiangnan He

Who trusts Qinyong Wang overall

1. Junliang Yu
2. Hongzhi Yin

Papers from Qinyong Wang's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• LLMRec: Large Language Models with Graph Augmentation for Recommendation (2023) — 451 citations
• Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation (2021) — 617 citations
• Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation (2020) — 632 citations