Michael Kwok-Po Ng

Artificial Intelligence · 2002–2020

A researcher in the Science corpus: 17 papers; trusts 163 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 41 citations into it; #16,270 of 35,345 by trust here, #18,186 by citations
Computer Vision and Pattern Recognition — 41 citations into it; #5,304 of 21,575 by trust here, #10,905 by citations
Computational Theory and Mathematics — 23 citations into it; #2,063 of 12,182 by trust here, #2,104 by citations
Computational Mathematics — 17 citations into it; #260 of 612 by trust here, #200 by citations
Signal Processing — 17 citations into it; #3,468 of 7,572 by trust here, #3,784 by citations
Computational Mechanics — 12 citations into it; #1,596 of 10,001 by trust here, #5,350 by citations
Information Systems — 10 citations into it; #4,345 of 8,771 by trust here, #5,942 by citations
Numerical Analysis — 10 citations into it; #770 of 3,586 by trust here, #875 by citations

Whom Michael Kwok-Po Ng trusts overall

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

Who trusts Michael Kwok-Po Ng overall

Papers from Michael Kwok-Po Ng's perspective

Ordered by how strongly the researchers Michael Kwok-Po Ng trusts endorse each paper. Same corpus, a different order for every researcher.

ImageNet classification with deep convolutional neural networks
Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Gradient-based learning applied to document recognition
Long Short-Term Memory
Attention is All you Need (Neural Information Processing Systems)
ImageNet: A large-scale hierarchical image database
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Learning Multiple Layers of Features from Tiny Images
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

Finding the Largest Eigenvalue of a Nonnegative Tensor (2009) — 354 citations
Hermitian and Skew-Hermitian Splitting Methods for Non-Hermitian Positive Definite Linear Systems (2002) — 1,110 citations
Control of Boolean networks: hardness results and algorithms for tree structured networks. (2007) — 546 citations
Transductive Multilabel Learning via Label Set Propagation (2013) — 178 citations
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval (2020) — 48 citations
An eigenvalue problem for even order tensors with its applications (2016) — 77 citations
On the limiting probability distribution of a transition probability tensor (2014) — 131 citations
Multi-Instance Dimensionality Reduction (2010) — 22 citations
A New Total Variation Method for Multiplicative Noise Removal (2009) — 320 citations
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data (2007) — 641 citations
Markov Chains: Models, Algorithms and Applications (2006) — 334 citations
Automated variable weighting in k-means type clustering (2005) — 827 citations
Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery (2005) — 479 citations
Iterative Methods for Toeplitz Systems (Numerical Mathematics and Scientific Computation) (2004) — 70 citations
Circulant and skew-circulant splitting methods for Toeplitz systems (2003) — 61 citations
A multivariate Markov chain model for categorical data sequences and its applications in demand predictions (2002) — 112 citations
On inversion of Toeplitz matrices (2002) — 60 citations