Qing Wang

Artificial Intelligence · with Kulkarni · 2005–2009

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #11,051 of 35,345 by trust here, #14,438 by citations
• Statistics and Probability — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it; #5,333 of 21,575 by trust here, #8,831 by citations
• Information Theory — 8 citations into it
• Statistical Learning Theory — 7 citations into it
• Signal Processing — 6 citations into it; #1,811 of 7,572 by trust here, #2,816 by citations
• Statistical and Nonlinear Physics — 5 citations into it

Whom Qing Wang trusts overall

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

1. Huaiyu Zhu
2. Liam Paninski
3. Thomas M. Cover
4. Peter M. Robinson
5. James A. Cadzow
6. Imre Csiszár
7. D. Loftsgaarden
8. Luc Devroye
9. Nojun Kwak
10. Erhan Gokcay

Who trusts Qing Wang overall

1. Barnab'as P'oczos
2. Jeff Schneider
3. Fernando Perez-Cruz
4. Bharath K. Sriperumbudur
5. Liang Xiong
6. Danica J. Sutherland
7. Weihao Gao
8. Akshay Krishnamurthy
9. XuanLong Nguyen
10. Yuchen Cui

Papers from Qing Wang's perspective

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

1. Information Theory: 1948-1998 - Guest Editorial
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Divergence Estimation for Multidimensional Densities Via $k$-Nearest-Neighbor Distances (2009) — 414 citations
• Divergence estimation of continuous distributions based on data-dependent partitions (2005) — 208 citations
• Universal Estimation of Information Measures for Analog Sources (2009) — 57 citations