Zhen Wang

Artificial Intelligence · with Liu · 2019–2022

A researcher in the Science corpus: 9 papers; trusts 834 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 277 citations into it; #14,257 of 35,345 by trust here, #19,018 by citations
• Computer Vision and Pattern Recognition — 224 citations into it; #12,359 of 21,575 by trust here, #14,151 by citations
• Meta & Continual Learning — 124 citations into it; #551 of 1,041 by trust here, #808 by citations
• Representation & Self-Supervised Learning — 87 citations into it
• Model Architectures — 47 citations into it
• Optimization & Training — 43 citations into it
• Radiology, Nuclear Medicine and Imaging — 25 citations into it
• Efficiency & Compression — 20 citations into it

Whom Zhen Wang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Diederik P. Kingma
7. Ilya Sutskever
8. Oriol Vinyals
9. Ross B. Girshick
10. Marc'Aurelio Ranzato

Who trusts Zhen Wang overall

1. Liu Liu
2. Dacheng Tao
3. Jixiang Guo
4. Liyuan Wang
5. Yiqun Duan
6. Yajing Kong
7. Liangzu Peng
8. Mingming Gong
9. Tong Wei
10. Prashant Bhat

Papers from Zhen Wang's perspective

Ordered by how strongly the researchers Zhen Wang 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. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• Balancing Stability and Plasticity through Advanced Null Space in Continual Learning (2022) — 53 citations
• Position-aware image captioning with spatial relation (2022) — 12 citations
• Continual Learning with Lifelong Vision Transformer (2022) — 99 citations
• Online Continual Learning with Contrastive Vision Transformer (2022) — 45 citations
• SIN: Semantic Inference Network for Few-Shot Streaming Label Learning (2022) — 10 citations
• Continual Learning through Retrieval and Imagination (2022) — 48 citations
• Multi-label Few-shot Learning with Semantic Inference (Student Abstract) (2021) — 4 citations
• Deep Streaming Label Learning (2020) — 42 citations
• DBSVEC: Density-Based Clustering Using Support Vector Expansion (2019) — 16 citations