Yiqun Duan

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 5 papers; trusts 375 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 151 citations into it; #34,988 of 35,345 by trust here, #23,731 by citations
• Computer Vision and Pattern Recognition — 128 citations into it
• Meta & Continual Learning — 62 citations into it
• Representation & Self-Supervised Learning — 44 citations into it
• Model Architectures — 23 citations into it
• Optimization & Training — 21 citations into it
• Natural Language Processing — 12 citations into it
• Signal Processing — 10 citations into it

Whom Yiqun Duan 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. L. Eon Bottou
8. Ilya Sutskever
9. Oriol Vinyals
10. Ross B. Girshick

Who trusts Yiqun Duan overall

1. Zhen Wang
2. Liu Liu
3. Yajing Kong

Papers from Yiqun Duan's perspective

Ordered by how strongly the researchers Yiqun Duan 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Position-aware image captioning with spatial relation (2022) — 12 citations
• Continual Learning with Lifelong Vision Transformer (2022) — 99 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