Cheng Ju

Artificial Intelligence · with Chen · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #14,744 of 35,345 by trust here, #19,439 by citations
• Optimization & Training — 12 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Cheng Ju trusts overall

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

1. Diederik P. Kingma
2. John C. Duchi
3. Yurii E. Nesterov
4. Arkadi Nemirovski
5. Hamed Karimi
6. Jimmy Ba
7. Elad Hazan
8. Geoffrey E. Hinton

Who trusts Cheng Ju overall

1. Zeyuan Allen-Zhu
2. Ashok Cutkosky
3. Aaron Defazio
4. Angelos Katharopoulos
5. Dmitry Kovalev
6. Yi Xu
7. Guofei Pang
8. Cong Fang
9. Quoc Tran-Dinh
10. Xiangyi Chen

Papers from Cheng Ju's perspective

Ordered by how strongly the researchers Cheng Ju trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Deep Learning

Their papers

• Non-convex Finite-Sum Optimization Via SCSG Methods (2017) — 257 citations