Yuqiang Chen

Artificial Intelligence · with Yang · 2008–2019

A researcher in the Science corpus: 6 papers; trusts 27 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it; #17,482 of 35,345 by trust here, #9,968 by citations
• Computer Vision and Pattern Recognition — 25 citations into it; #10,976 of 21,575 by trust here, #7,249 by citations
• Representation & Self-Supervised Learning — 15 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Management Science and Operations Research — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Natural Language Processing — 7 citations into it

Whom Yuqiang Chen trusts overall

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

1. David G. Lowe
2. Frederick Jelinek
3. Thomas Hofmann
4. Wenyuan Dai
5. Hal Daumé Iii
6. Li Fei-Fei
7. Geoffrey E. Hinton
8. Pietro Perona
9. Yoshua Bengio
10. Alex Krizhevsky

Who trusts Yuqiang Chen overall

1. Qiang Yang
2. Gabriella Csurka
3. Guo-Jun Qi
4. Joey Tianyi Zhou
5. Ying Wei
6. Lixin Duan
7. Ivor Wai-Hung Tsang
8. Daixin Wang
9. Charu C. Aggarwal
10. Yingke Zhu

Papers from Yuqiang Chen's perspective

Ordered by how strongly the researchers Yuqiang Chen 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Heterogeneous Transfer Learning for Image Classification (2011) — 385 citations
• Heterogeneous Transfer Learning for Image Clustering via the SocialWeb (2009) — 180 citations
• Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion (2019) — 37 citations
• Privacy-preserving Transfer Learning for Knowledge Sharing (2018) — 19 citations
• Visual Contextual Advertising: Bringing Textual Advertisements to Images (2010) — 21 citations
• Translated Learning: Transfer Learning across Different Feature Spaces (2008) — 319 citations