29 citations · 84 across the 15 of their papers we have counts for
16 papers
Joint Dimensionality Reduction for Separable Embedding Estimation
Yanjun Li, Bihan Wen, Hao Cheng +1
Low-dimensional embeddings for data from disparate sources play critical roles in multi-modal machine learning, multimedia information retrieval, and bioinformatics. In this paper,…
Application of Deep Interpolation Network for Clustering of Physiologic Time Series
Yanjun Li, Yuanfang Ren, Tyler J. Loftus +7
Background: During the early stages of hospital admission, clinicians must use limited information to make diagnostic and treatment decisions as patient acuity evolves. However, it…
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems
Bihan Wen, Yanjun Li, Yuqi Li +1
Image prior modeling is the key issue in image recovery, computational imaging, compresses sensing, and other inverse problems. Recent algorithms combining multiple effective prior…
FoldingZero: Protein Folding from Scratch in Hydrophobic-Polar Model
Yanjun Li, Hengtong Kang, Ketian Ye +2
De novo protein structure prediction from amino acid sequence is one of the most challenging problems in computational biology. As one of the extensively explored mathematical mode…
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling
Bihan Wen, Yanjun Li, Yoram Bresler
Recent works on adaptive sparse and on low-rank signal modeling have demonstrated their usefulness in various image / video processing applications. Patch-based methods exploit loc…
Multichannel Sparse Blind Deconvolution on the Sphere
Yanjun Li, Yoram Bresler
Multichannel blind deconvolution is the problem of recovering an unknown signal and multiple unknown channels from their circular convolution ($i=…