Zhaokai Wang

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Natural Language Processing — 15 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Zhaokai Wang trusts overall

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

1. Oriol Vinyals
2. Baoguang Shi
3. Kaiming He
4. Shaoqing Ren
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Satanjeev Banerjee
8. Alex Krizhevsky
9. Jacob Devlin
10. Yoshua Bengio

Papers from Zhaokai Wang's perspective

Ordered by how strongly the researchers Zhaokai 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. 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. 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

• Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? (2025) — 919 citations
• Confidence-aware Non-repetitive Multimodal Transformers for TextCaps (2020) — 28 citations