Li Chen

Artificial Intelligence · with Wang · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Signal Processing — 13 citations into it
• Speech & Audio — 12 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Li Chen trusts overall

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

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

Who trusts Li Chen overall

1. K. J. Joseph
2. Yaoyao Liu
3. Liu Yu-yang
4. Jingzhou Chen
5. Zheda Mai
6. Bernt Schiele
7. Cong Yang
8. Shih-Ping Wang
9. Salman Hameed Khan
10. Ruiwen Li

Papers from Li Chen's perspective

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

Their papers

• A New Knowledge Distillation for Incremental Object Detection (2019) — 60 citations
• Maximum Flow and Minimum-Cost Flow in Almost-Linear Time (2022) — 357 citations
• Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement (2020) — 7 citations