Yiqi Wang

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 123 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Natural Language Processing — 28 citations into it
• Safety, Robustness & Interpretability — 24 citations into it
• Management Science and Operations Research — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Yiqi Wang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Jimmy Ba
5. Kaiming He
6. Ilya Sutskever
7. Alex Krizhevsky
8. Yann LeCun
9. Kyunghyun Cho
10. Alex Graves

Papers from Yiqi Wang's perspective

Ordered by how strongly the researchers Yiqi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning (2020) — 79 citations
• Recommender Systems in the Era of Large Language Models (LLMs) (2023) — 541 citations
• Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020) — 661 citations
• Node Similarity Preserving Graph Convolutional Networks (2020) — 328 citations