Dongkuan Xu

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it; #17,706 of 35,345 by trust here, #16,166 by citations
• Computer Vision and Pattern Recognition — 21 citations into it
• Graph Learning — 18 citations into it
• Signal Processing — 17 citations into it
• Statistical and Nonlinear Physics — 15 citations into it; #4,470 of 10,127 by trust here, #5,011 by citations
• Information Systems — 10 citations into it
• Molecular Biology — 8 citations into it
• Model Architectures — 7 citations into it

Whom Dongkuan Xu trusts overall

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

1. Anil K. Jain
2. Roded Sharan
3. Alexander P. Topchy
4. Carl E. Rasmussen
5. John C. Gower
6. Charu C. Aggarwal
7. Jiawei Han
8. Martin Ester
9. Ana L. N. Fred
10. Brendan J. Frey

Who trusts Dongkuan Xu overall

1. Yibo Jiang
2. Iqbal H. Sarker
3. Xingcheng Ran
4. Wen-Tao Wu
5. Nakul Verma
6. Asif Irshad Khan
7. Yue Xi
8. Lida Xu
9. Yuan-jie Li
10. Xavier Favory

Papers from Dongkuan Xu's perspective

Ordered by how strongly the researchers Dongkuan Xu 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Parameterized Explainer for Graph Neural Network (2020) — 824 citations
• A Comprehensive Survey of Clustering Algorithms (2015) — 1,804 citations