Handong Zhao

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 6 papers; trusts 371 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 119 citations into it; #35,308 of 35,345 by trust here, #21,878 by citations
• Computer Vision and Pattern Recognition — 104 citations into it; #11,904 of 21,575 by trust here, #11,286 by citations
• Representation & Self-Supervised Learning — 46 citations into it
• Natural Language Processing — 29 citations into it
• Multimodal Learning — 12 citations into it
• Computational Mechanics — 10 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 9 citations into it

Whom Handong Zhao trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yann LeCun
6. Diederik P. Kingma
7. Ilya Sutskever
8. Andrew Y. Ng
9. Karen Simonyan
10. Michael I. Jordan

Who trusts Handong Zhao overall

1. Hao Wang
2. Jie Wen
3. Changqing Zhang
4. Xiaoqiang Yan
5. Yan Yang
6. Yong Xu
7. Zhengming Ding
8. Shizhe Hu
9. Xiaojun Chang
10. Bing Liu

Papers from Handong Zhao's perspective

Ordered by how strongly the researchers Handong Zhao 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Scene Graph Generation With External Knowledge and Image Reconstruction (2019) — 321 citations
• Few-Shot Class-Incremental Learning for Named Entity Recognition (2022) — 27 citations
• Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit (2019) — 21 citations
• Deep Domain Adaptation (2018) — 13 citations
• Multi-View Clustering via Deep Matrix Factorization (2017) — 522 citations
• Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation (2016) — 19 citations