Zhihong Deng

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 4 papers; trusts 136 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 94 citations into it; #11,258 of 35,345 by trust here, #10,065 by citations
• Computer Vision and Pattern Recognition — 57 citations into it
• Representation & Self-Supervised Learning — 46 citations into it
• Meta & Continual Learning — 31 citations into it
• Generative Models — 14 citations into it
• Natural Language Processing — 10 citations into it
• Graph Learning — 9 citations into it
• Optimization & Training — 7 citations into it

Whom Zhihong Deng trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Kaiming He
6. Ilya Sutskever
7. Yann LeCun
8. Antoine Bordes
9. Jimmy Ba
10. Tomas Mikolov

Who trusts Zhihong Deng overall

1. William L. Hamilton
2. Hongyu Ren
3. Zequn Sun
4. Joseph Fisher
5. Hong-Liu Cao
6. Shikhar Vashishth
7. Weihua Hu
8. Tara Safavi
9. Zhaocheng Zhu
10. Lingbing Guo

Papers from Zhihong Deng's perspective

Ordered by how strongly the researchers Zhihong Deng 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space (2018) — 2,814 citations
• Self-Supervised Learning Aided Class-Incremental Lifelong Learning (2020) — 15 citations
• Generative Feature Replay with Orthogonal Weight Modification for Continual Learning (2020) — 25 citations
• The SPMF Open-Source Data Mining Library Version 2 (2016) — 538 citations