Qinxue Meng

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Optimization & Training — 5 citations into it

Whom Qinxue Meng trusts overall

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

1. David E. Rumelhart
2. Jia Wu
3. Geoffrey E. Hinton
4. Huaiyu Zhu
5. Yoshua Bengio
6. Xavier Glorot
7. Andy Liaw
8. Alok Sharma
9. Ronald J. Williams
10. George H. John

Who trusts Qinxue Meng overall

1. Xin He
2. Kaiyong Zhao
3. A. Ozbayoglu
4. Omer Berat Sezer

Papers from Qinxue Meng's perspective

Ordered by how strongly the researchers Qinxue Meng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Training deep neural networks on imbalanced data sets (2016) — 452 citations
• Relational autoencoder for feature extraction (2017) — 212 citations