Yik-Chung Wu

Computer Networks and Communications · 2011–2015

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 13 citations into it; #9,528 of 9,886 by trust here, #8,844 by citations
• Artificial Intelligence — 5 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Yik-Chung Wu trusts overall

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

1. Yair Weiss
2. Qun Li
3. Jayesh H. Kotecha
4. Y. Hong
5. Jana van Greunen
6. Christoph Helmberg
7. Saurabh Ganeriwal
8. Miklos Maroti
9. William T. Freeman
10. Dmitry M. Malioutov

Who trusts Yik-Chung Wu overall

1. Qinliang Su

Papers from Yik-Chung Wu's perspective

Ordered by how strongly the researchers Yik-Chung Wu 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. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• On Convergence Conditions of Gaussian Belief Propagation (2015) — 84 citations
• Distributed Estimation of Variance in Gaussian Graphical Model via Belief Propagation: Accuracy Analysis and Improvement (2015) — 6 citations
• Clock Synchronization of Wireless Sensor Networks (2011) — 302 citations