Weituo Hao

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 163 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 80 citations into it; #34,035 of 35,345 by trust here, #18,186 by citations
• Computer Vision and Pattern Recognition — 54 citations into it; #18,615 of 21,575 by trust here, #10,500 by citations
• Reinforcement Learning — 19 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Natural Language Processing — 16 citations into it; #5,435 of 5,688 by trust here, #3,754 by citations
• Multimodal Learning — 14 citations into it
• Optimization & Training — 12 citations into it
• Model Architectures — 8 citations into it

Whom Weituo Hao trusts overall

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

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

Who trusts Weituo Hao overall

1. Yicong Hong
2. Linjie Li
3. Zhe Gan
4. Shizhe Chen
5. Qi Wu
6. Chen Gao
7. Mingchen Zhuge
8. Sheng Shen
9. Chunyuan Li
10. Cristian Rodriguez-Opazo

Papers from Weituo Hao's perspective

Ordered by how strongly the researchers Weituo Hao 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. Learning Multiple Layers of Features from Tiny Images

Their papers

• Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training (2020) — 366 citations
• CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information (2020) — 541 citations
• Adaptive Power System Emergency Control Using Deep Reinforcement Learning (2019) — 348 citations
• FLOP: Federated Learning on Medical Datasets using Partial Networks (2021) — 100 citations