85 citations · 138 across the 7 of their papers we have counts for
7 papers
CIMON: Towards High-quality Hash Codes
Xiao Luo, Daqing Wu, Zeyu Ma +6
Recently, hashing is widely used in approximate nearest neighbor search for its storage and computational efficiency. Most of the unsupervised hashing methods learn to map images i…
A Survey on Deep Hashing Methods
Xiao Luo, Haixin Wang, Daqing Wu +4
Nearest neighbor search aims to obtain the samples in the database with the smallest distances from them to the queries, which is a basic task in a range of fields, including compu…
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning
Haicang Zhang, Qi Zhang, Fusong Ju +7
Accurate prediction of inter-residue contacts of a protein is important to calcu- lating its tertiary structure. Analysis of co-evolutionary events among residues has been proved e…
Real-value and confidence prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning
Yujuan Gao, Sheng Wang, Minghua Deng +1
Background. Protein dihedral angles provide a detailed description of protein local conformation. Predicted dihedral angles can be used to narrow down the conformational space of t…
Differential Network Analysis via the Lasso Penalized D-Trace Loss
Huili Yuan, Ruibin Xi, Chong Chen +1
Biological networks often change under different environmental and genetic conditions. Understanding how these networks change becomes an important problem in biological studies. I…
Inference of Markovian Properties of Molecular Sequences from NGS Data and Applications to Comparative Genomics
Jie Ren, Kai Song, Minghua Deng +3
Next Generation Sequencing (NGS) technologies generate large amounts of short read data for many different organisms. The fact that NGS reads are generally short makes it challengi…