Wenkui Ding

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 129 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it; #20,910 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 50 citations into it
• Representation & Self-Supervised Learning — 22 citations into it; #3,037 of 3,145 by trust here, #2,355 by citations
• Information Systems — 10 citations into it
• Natural Language Processing — 9 citations into it
• Recommender Systems — 8 citations into it
• Signal Processing — 7 citations into it; #7,380 of 7,572 by trust here, #3,784 by citations
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Wenkui Ding trusts overall

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

1. Ruslan Salakhutdinov
2. Geoffrey E. Hinton
3. Hugo Larochelle
4. Kaiming He
5. Yoshua Bengio
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Andriy Mnih
9. Prem Gopalan
10. Ilya Sutskever

Who trusts Wenkui Ding overall

1. Harald Steck

Papers from Wenkui Ding's perspective

Ordered by how strongly the researchers Wenkui Ding 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
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
• A Neural Autoregressive Approach to Collaborative Filtering (2016) — 227 citations