Changwei Hu

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it; #27,795 of 35,345 by trust here, #33,294 by citations
• Statistical and Nonlinear Physics — 9 citations into it; #7,644 of 10,127 by trust here, #9,953 by citations
• Information Systems — 8 citations into it

Whom Changwei Hu trusts overall

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

1. Diederik P. Kingma
2. Julian McAuley
3. Max Welling
4. Geoffrey E. Hinton
5. Aditya Krishna Menon
6. Yoshua Bengio
7. Radford M. Neal
8. Michael I. Jordan
9. Alex Krizhevsky
10. Kurt T. Miller

Who trusts Changwei Hu overall

1. Aditya Grover
2. Aaron Zweig

Papers from Changwei Hu's perspective

Ordered by how strongly the researchers Changwei Hu 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
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

• Deep Generative Models for Relational Data with Side Information (2017) — 12 citations
• HABERTOR: An Efficient and Effective Deep Hatespeech Detector (2020) — 35 citations