James Cheng

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 7 papers; trusts 47 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it; #27,401 of 35,345 by trust here, #20,836 by citations
• Optimization & Training — 48 citations into it
• Computational Mechanics — 26 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it; #18,856 of 21,575 by trust here, #18,266 by citations
• Computer Networks and Communications — 22 citations into it
• Statistical and Nonlinear Physics — 19 citations into it; #8,969 of 10,127 by trust here, #6,727 by citations
• Management Science and Operations Research — 11 citations into it
• Computational Theory and Mathematics — 10 citations into it; #6,859 of 12,182 by trust here, #7,142 by citations

Whom James Cheng trusts overall

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

1. Yurii E. Nesterov
2. Jonathan Cohen
3. Tong Zhang
4. Michael Hay
5. Lei Zou
6. Pierangela Samarati
7. Alex Krizhevsky
8. Zeyuan Allen-Zhu
9. Latanya Sweeney
10. Geoffrey E. Hinton

Who trusts James Cheng overall

1. Huahai He
2. Wook-Shin Han
3. Shijie Zhang
4. Rui Chen
5. Haichuan Shang
6. Jinsoo Lee
7. Ambuj K. Singh
8. Xin Huang
9. Benjamin C. M. Fung
10. Shirong Li

Papers from James Cheng's perspective

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

Their papers

• Fg-index: towards verification-free query processing on graph databases (2007) — 299 citations
• K-isomorphism: privacy preserving network publication against structural attacks (2010) — 391 citations
• Truss Decomposition in Massive Networks (2012) — 417 citations
• Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning (2019) — 51 citations
• Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization (2018) — 9 citations
• Path Problems in Temporal Graphs (2014) — 300 citations
• A model-based approach to attributed graph clustering (2012) — 341 citations