Haobo Wang

Artificial Intelligence · with Chen · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Information Systems — 12 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Statistics and Probability — 5 citations into it

Whom Haobo Wang trusts overall

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

1. Zhi-Hua Zhou
2. Min-Ling Zhang
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Ilya Sutskever
8. Jason Aaron Edward Weston
9. Kaiming He
10. Robert E. Schapire

Papers from Haobo Wang's perspective

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

Their papers

• The Emerging Trends of Multi-Label Learning (2020) — 387 citations
• Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification (2019) — 41 citations