Chong-Yung Chi
Media Technology · 2004–2014
A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 37 citations into it; #2,541 of 3,621 by trust here, #2,389 by citations
- Electrical and Electronic Engineering — 36 citations into it; #7,413 of 16,539 by trust here, #9,210 by citations
- Computer Networks and Communications — 25 citations into it; #5,396 of 9,886 by trust here, #4,594 by citations
- Analytical Chemistry — 22 citations into it; #1,013 of 1,254 by trust here, #922 by citations
- Computational Mechanics — 21 citations into it
- Artificial Intelligence — 14 citations into it
- Signal Processing — 12 citations into it; #6,410 of 7,572 by trust here, #6,836 by citations
- Atmospheric Science — 10 citations into it; #3,084 of 4,804 by trust here, #3,694 by citations
Whom Chong-Yung Chi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jose M. P. Nascimento
- Nirmal Keshava
- Eric R. Ziegel
- José M. Bioucas-Dias
- Daniel D. Lee
- Andrzej S. Cichocki
- Lieven Vandenberghe
- Michael W. Berry
- J. F. Mustard
- Shun-ichi Amari
Who trusts Chong-Yung Chi overall
Papers from Chong-Yung Chi's perspective
Ordered by how strongly the researchers Chong-Yung Chi trusts endorse each paper. Same corpus, a different order for every researcher.
- Non-negative Matrix Factorization with Sparseness Constraints (Journal of machine learning research)
- Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†
- Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization
- Spectral unmixing (IEEE Signal Processing Magazine)
- Vertex component analysis: a fast algorithm to unmix hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
- On the convergence of the block nonlinear Gauss-Seidel method under convex constraints (Operations Research Letters)
- Transmit beamforming for physical-layer multicasting (IEEE Transactions on Signal Processing)
- Linear precoding via conic optimization for fixed MIMO receivers (IEEE Transactions on Signal Processing)
- The Elements of Statistical Learning
- ICE: a statistical approach to identifying endmembers in hyperspectral images (IEEE Transactions on Geoscience and Remote Sensing)
Their papers
- Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization (2011) — 832 citations
- QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach (2011) — 385 citations
- IEEE Transactions on Circuits and Systems II: Express Briefs (2004) — 189 citations
- Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization (2010) — 85 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