Wing-Kin Ma
Electrical and Electronic Engineering · 2002–2014
A researcher in the Science corpus: 10 papers; trusts 44 researchers and is trusted by 59 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 62 citations into it; #953 of 16,539 by trust here, #3,854 by citations
- Computer Networks and Communications — 43 citations into it; #814 of 9,886 by trust here, #1,744 by citations
- Media Technology — 33 citations into it; #2,539 of 3,621 by trust here, #2,389 by citations
- Artificial Intelligence — 24 citations into it; #6,403 of 35,345 by trust here, #15,542 by citations
- Computational Mechanics — 24 citations into it; #3,422 of 10,001 by trust here, #1,778 by citations
- Analytical Chemistry — 20 citations into it
- Signal Processing — 18 citations into it; #6,592 of 7,572 by trust here, #5,829 by citations
- Numerical Analysis — 13 citations into it; #1,109 of 3,586 by trust here, #287 by citations
Whom Wing-Kin Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- José M. Bioucas-Dias
- Jose M. P. Nascimento
- Christoph Helmberg
- Simon Justin Julier
- Paul Tseng
- Dimitri P. Bertsekas
- Carine Hue
- Ashish J. Khisti
- Marian-Daniel Iordache
- Daniel D. Lee
Who trusts Wing-Kin Ma overall
- B. Vo
- Derrick Wing Kwan Ng
- Dominic Schuhmacher
- Benjamin Fuchs
- Jason L. Williams
- Gui Zhou
- Xiaoming Chen
- Karl Granström
- Sergiy A. Vorobyov
- B. Ristic
Papers from Wing-Kin Ma's perspective
Ordered by how strongly the researchers Wing-Kin Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization
- Gradient-based learning applied to document recognition
- Atomic Decomposition by Basis Pursuit
- Vertex component analysis: a fast algorithm to unmix hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
- ImageNet: A large-scale hierarchical image database
- Regression Shrinkage and Selection via the Lasso
Their papers
- Semidefinite Relaxation of Quadratic Optimization Problems (2010) — 3,673 citations
- Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization (2011) — 832 citations
- Quasi-maximum-likelihood multiuser detection using semi-definite relaxation with application to synchronous CDMA (2002) — 385 citations
- Least squares algorithms for time-of-arrival-based mobile location (2004) — 553 citations
- Spatially Selective Artificial-Noise Aided Transmit Optimization for MISO Multi-Eves Secrecy Rate Maximization (2013) — 310 citations
- QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach (2011) — 385 citations
- A Constrained Least Squares Approach to Mobile Positioning: Algorithms and Optimality (2006) — 295 citations
- A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing (2014) — 419 citations
- Convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing (2009) — 422 citations
- The Gaussian Mixture Probability Hypothesis Density Filter (2006) — 2,018 citations