Lin Zhu

发表

A Two-Stage Geometric Method for Pruning Unreliable Links in Protein-Protein Networks

De-Shuang Huang, Lin Zhu, De-shuang Huang, 2015, IEEE Transactions on NanoBioscience.

t-LSE: A Novel Robust Geometric Approach for Modeling Protein-Protein Interaction Networks

Zhu-Hong You, Bing Wang, De-Shuang Huang, 2013, PloS one.

Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding

Zhu-Hong You, De-Shuang Huang, Lin Zhu, 2013, Neurocomputing.

Convex local sensitive low rank matrix approximation

De-Shuang Huang, Wenzheng Bao, Lin Zhu, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Visual data completion via local sensitive low rank tensor learning

Gang Wang, Li Shang, Xiao-Ping Zhang, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Dimensionality reduction based on minimax risk criterion for face recognition

Lei Tang, De-Shuang Huang, Ying-Ke Lei, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Direct AUC optimization of regulatory motifs

De-Shuang Huang, Lin Zhu, Hong-Bo Zhang, 2017, Bioinform..

WSMD: weakly-supervised motif discovery in transcription factor ChIP-seq data

Hongbo Zhang, De-Shuang Huang, Lin Zhu, 2017, Scientific Reports.

Recent Advances in the Prediction of Protein Structural Classes: Feature Descriptors and Machine Learning Algorithms

Lin Zhu, Wenjin Li, Mehdi D. Davari, 2021, Crystals.

ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition

De-Shuang Huang, Lin Zhu, Wei-Li Guo, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Understanding tissue-specificity with human tissue-specific regulatory networks

Xingming Zhao, De-shuang Huang, Suping Deng, 2016, Science China Information Sciences.

Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks

De-Shuang Huang, Lin Zhu, Suping Deng, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding

Zhu-Hong You, De-Shuang Huang, Lin Zhu, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A two-stage geometric method for detecting unreliable links in protein-protein networks

De-Shuang Huang, Lin Zhu, Suping Deng, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Assessing and predicting protein interactions by combining manifold embedding with multiple information integration

Zhen Ji, Zhu-Hong You, De-Shuang Huang, 2012, BMC Bioinformatics.

High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites

De-Shuang Huang, Lin Zhu, Qinhu Zhang, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets

Hongbo Zhang, De-Shuang Huang, Lin Zhu, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

DiscMLA: AUC-based discriminative motif learning

De-Shuang Huang, Hongbo Zhang, Lin Zhu, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding

De-Shuang Huang, Lin Zhu, Wenzheng Bao, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

DCDE: An Efficient Deep Convolutional Divergence Encoding Method for Human Promoter Recognition

De-Shuang Huang, Wenxuan Xu, Lin Zhu, 2019, IEEE Transactions on NanoBioscience.

Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping

Xiaobo Zhou, De-Shuang Huang, Lin Yuan, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A MapReduce based parallel SVM for large-scale predicting protein-protein interactions

Shuai Li, Zhu-Hong You, Zhenkun Wen, 2014, Neurocomputing.

Learning regulatory motifs by direct optimization of Fisher Exact Test Score

De-Shuang Huang, Ning Li, Wenzheng Bao, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Collaborative Completion of Transcription Factor Binding Profiles via Local Sensitive Unified Embedding

De-Shuang Huang, Canyi Lu, Lin Zhu, 2016, IEEE Transactions on NanoBioscience.

Detecting Protein-Protein Interactions with a Novel Matrix-Based Protein Sequence Representation and Support Vector Machines

Zhu-Hong You, Xin Gao, Ying-Ke Lei, 2015, BioMed research international.

Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis

Zhu-Hong You, Junfeng Xia, Bing Wang, 2013, BMC Bioinformatics.

WSMD: weakly-supervised motif discovery in transcription factor ChIP-seq data

De-shuang Huang, Hongbo Zhang, Lin Zhu, 2017, Scientific Reports.

Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

Hongjie Yu, C. Zheng, Zhuhong You, 2014, BMC Bioinformatics.

A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis

De-Shuang Huang, Lin Zhu, De-shuang Huang, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Hybrid Deep Learning for Plant Leaves Classification

Li Shang, Xiao-Ping Zhang, Xiaobo Zhou, 2015, ICIC.

Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection

Junchi Yan, Yong-Xian Fan, Xiaoyong Pan, 2014, Comput. Biol. Chem..

Multi-task ranking SVM for image cosegmentation

De-Shuang Huang, Lin Zhu, Xianpeng Liang, 2017, Neurocomputing.

Cross-validated smooth multi-instance learning

Yi Ren, De-Shuang Huang, Fei Cheng, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

LMMO: A Large Margin Approach for Refining Regulatory Motifs

Hong-Bo Zhang, Lin Zhu, De-shuang Huang, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding

De-Shuang Huang, Canyi Lu, Lin Zhu, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Optimization of Gene Set Annotations Using Robust Trace-Norm Multitask Learning

Lin Zhu, Xianpeng Liang, De-shuang Huang, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A Rayleigh-Ritz style method for large-scale discriminant analysis

De-Shuang Huang, Lin Zhu, De-shuang Huang, 2014, Pattern Recognit..

Prediction of lncRNA-Disease Associations from Heterogeneous Information Network Based on DeepWalk Embedding Model

Zhu-Hong You, Yue Sun, Tong Liu, 2020, ICIC.

Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

Zhen Ji, Zhu-Hong You, Chun-Hou Zheng, 2014, BMC Bioinformatics.