Lin Zhu

According to our database, Lin Zhu authored at least 38 papers between 2010 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

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

Qinhu Zhang, Lin Zhu, Wenzheng Bao, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

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

Xiao-Yu Song, Tong Liu, Ze-Yang Qiu, Zhu-Hong You, Yue Sun, Li-Ting Jin, Xiao-Bei Feng, Lin Zhu

Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

2019

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

Qinhu Zhang, Lin Zhu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

2018

LMMO: A Large Margin Approach for Refining Regulatory Motifs.

Lin Zhu, Hong-Bo Zhang, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

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

Hongbo Zhang, Lin Zhu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

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

Xianpeng Liang, Lin Zhu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

2017

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

Lin Zhu, Suping Deng, Zhu-Hong You, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

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

Lin Yuan, Lin Zhu, Wei-Li Guo, Xiaobo Zhou, Youhua Zhang, Zhenhua Huang, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications.

Lin Zhu, Suping Deng, De-Shuang Huang

Neurocomputing, 2017

Multi-task ranking SVM for image cosegmentation.

Xianpeng Liang, Lin Zhu, De-Shuang Huang

Neurocomputing, 2017

Direct AUC optimization of regulatory motifs.

Lin Zhu, Hong-Bo Zhang, De-Shuang Huang

Bioinform., 2017

Convex local sensitive low rank matrix approximation.

Chong-Ya Li, Lin Zhu, Wenzheng Bao, Yong-Li Jiang, Chang-An Yuan, De-Shuang Huang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Cross-validated smooth multi-instance learning.

Dayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Fast Significant Matches of Position Weight Matrices Based on Diamond Sampling.

Liang-xin Gao, Hongbo Zhang, Lin Zhu

Proceedings of the Intelligent Computing Theories and Application, 2017

2016

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

Lin Zhu, Wei-Li Guo, Suping Deng, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

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

Suping Deng, Lin Zhu, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Special issue on Advanced Intelligent Computing Methodologies and Applications.

Lin Zhu, Vitoantonio Bevilacqua, De-Shuang Huang

Neurocomputing, 2016

Understanding tissue-specificity with human tissue-specific regulatory networks.

Wei-Li Guo, Lin Zhu, Suping Deng, Xing-Ming Zhao, Deshuang Huang

Sci. China Inf. Sci., 2016

Visual data completion via local sensitive low rank tensor learning.

Qing-Yi Liu, Lin Zhu, De-Shuang Huang, Gang Wang, Xiao-Ping (Steven) Zhang, Li Shang, Zhi-Kai Huang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning regulatory motifs by direct optimization of Fisher Exact Test Score.

Lin Zhu, Ning Li, Wenzheng Bao, De-Shuang Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

ILSES: Identification lysine succinylation-sites with ensemble classification.

Wenzheng Bao, Lin Zhu, De-Shuang Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Hybrid Deep Learning for Plant Leaves Classification.

Zhiyu Liu, Lin Zhu, Xiao-Ping (Steven) Zhang, Xiaobo Zhou, Li Shang, Zhi-Kai Huang, Yong Gan

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

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

Lin Zhu, Wei-Li Guo, De-Shuang Huang, Canyi Lu

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

DiscMLA: AUC-based discriminative motif learning.

Hongbo Zhang, Lin Zhu, Deshuang Huang

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

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

Lin Zhu, De-Shuang Huang

Pattern Recognit., 2014

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

Zhu-Hong You, Jian-Zhong Yu, Lin Zhu, Shuai Li, Zhenkun Wen

Neurocomputing, 2014

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

Zhu-Hong You, Lin Zhu, Chun-Hou Zheng, Hongjie Yu, Suping Deng, Zhen Ji

BMC Bioinform., 2014

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

Lin Zhu, Zhu-Hong You, De-Shuang Huang

Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

Extract Features Using Stacked Denoised Autoencoder.

Yushu Gao, Lin Zhu, Hao-Dong Zhu, Yong Gan, Li Shang

Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

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

Lin Zhu, Suping Deng, De-Shuang Huang

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

Face recognition via Weighted Sparse Representation.

Can-Yi Lu, Hai Min, Jie Gui, Lin Zhu, Ying-Ke Lei

J. Vis. Commun. Image Represent., 2013

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

Lin Zhu, Zhu-Hong You, De-Shuang Huang

Neurocomputing, 2013

Efficient optimally regularized discriminant analysis.

Lin Zhu, De-Shuang Huang

Neurocomputing, 2013

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

Zhu-Hong You, Ying-Ke Lei, Lin Zhu, Junfeng Xia, Bing Wang

BMC Bioinform., 2013

2012

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

Ying-Ke Lei, Zhuhong You, Zhen Ji, Lin Zhu, De-Shuang Huang

BMC Bioinform., 2012

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

Lin Zhu, De-Shuang Huang

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Robust and Efficient Subspace Segmentation via Least Squares Regression.

Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2012, 2012

2010

Dimensionality reduction based on minimax risk criterion for face recognition.

Lei Tang, Ying-Ke Lei, Lin Zhu, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2010