Dimensionality reduction based on minimax risk criterion for face recognition. - Lei Tang; Ying-Ke Lei; Lin Zhu 008; De-Shuang Huang (IJCNN, 2010)

Robust and Efficient Subspace Segmentation via Least Squares Regression. - Can-Yi Lu; Hai Min; Zhong-Qiu Zhao; Lin Zhu 008; De-Shuang Huang; Shuicheng Yan (ECCV (7), 2012)

A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis. - Lin Zhu 008; De-Shuang Huang (IJCNN, 2012)

Assessing and predicting protein interactions by combining manifold embedding with multiple information integration. - Ying-Ke Lei; Zhuhong You; Zhen Ji; Lin Zhu 008; De-Shuang Huang (BMC Bioinform., 2012)

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 008; Junfeng Xia; Bing Wang 004 (BMC Bioinform., 2013)

Efficient optimally regularized discriminant analysis. - Lin Zhu 008; De-Shuang Huang (Neurocomputing, 2013)

Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding. - Lin Zhu 008; Zhu-Hong You; De-Shuang Huang (Neurocomputing, 2013)

Face recognition via Weighted Sparse Representation. - Can-Yi Lu; Hai Min; Jie Gui; Lin Zhu 008; Ying-Ke Lei (J. Vis. Commun. Image Represent., 2013)

A two-stage geometric method for detecting unreliable links in protein-protein networks. - Lin Zhu 008; Suping Deng; De-Shuang Huang (BIBM, 2014)

Extract Features Using Stacked Denoised Autoencoder. - Yushu Gao; Lin Zhu 008; Hao-Dong Zhu; Yong Gan; Li Shang (ICIC (3), 2014)

Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. - Lin Zhu 008; Zhu-Hong You; De-Shuang Huang (ISBRA, 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 008; Chun-Hou Zheng 001; Hongjie Yu; Suping Deng; Zhen Ji (BMC Bioinform., 2014)

A MapReduce based parallel SVM for large-scale predicting protein-protein interactions. - Zhu-Hong You; Jian-Zhong Yu; Lin Zhu 008; Shuai Li 002; Zhenkun Wen (Neurocomputing, 2014)

A Rayleigh-Ritz style method for large-scale discriminant analysis. - Lin Zhu 008; De-Shuang Huang (Pattern Recognit., 2014)

DiscMLA: AUC-based discriminative motif learning. - Hongbo Zhang; Lin Zhu 008; Deshuang Huang (BIBM, 2015)

Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding. - Lin Zhu 008; Wei-Li Guo; De-Shuang Huang; Canyi Lu (BIBM, 2015)

Hybrid Deep Learning for Plant Leaves Classification. - Zhiyu Liu; Lin Zhu 008; Xiao-Ping (Steven) Zhang; Xiaobo Zhou 001; Li Shang; Zhi-Kai Huang; Yong Gan (ICIC (2), 2015)

ILSES: Identification lysine succinylation-sites with ensemble classification. - Wenzheng Bao; Lin Zhu 008; De-Shuang Huang (BIBM, 2016)

Learning regulatory motifs by direct optimization of Fisher Exact Test Score. - Lin Zhu 008; Ning Li; Wenzheng Bao; De-Shuang Huang (BIBM, 2016)

Visual data completion via local sensitive low rank tensor learning. - Qing-Yi Liu; Lin Zhu 008; De-Shuang Huang; Gang Wang; Xiao-Ping (Steven) Zhang; Li Shang; Zhi-Kai Huang (IJCNN, 2016)

Understanding tissue-specificity with human tissue-specific regulatory networks. - Wei-Li Guo; Lin Zhu 008; Suping Deng; Xing-Ming Zhao; Deshuang Huang (Sci. China Inf. Sci., 2016)

Special issue on Advanced Intelligent Computing Methodologies and Applications. - Lin Zhu 008; Vitoantonio Bevilacqua; De-Shuang Huang (Neurocomputing, 2016)

Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks. - Suping Deng; Lin Zhu 008; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition. - Lin Zhu 008; Wei-Li Guo; Suping Deng; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Fast Significant Matches of Position Weight Matrices Based on Diamond Sampling. - Liang-xin Gao; Hongbo Zhang; Lin Zhu 008 (ICIC (2), 2017)

Cross-validated smooth multi-instance learning. - Dayuan Li; Lin Zhu 008; Wenzheng Bao; Fei Cheng; Yi Ren; De-Shuang Huang (IJCNN, 2017)

Convex local sensitive low rank matrix approximation. - Chong-Ya Li; Lin Zhu 008; Wenzheng Bao; Yong-Li Jiang; Chang-An Yuan 001; De-Shuang Huang (IJCNN, 2017)

Direct AUC optimization of regulatory motifs. - Lin Zhu 008; Hong-Bo Zhang; De-Shuang Huang (Bioinform., 2017)

Multi-task ranking SVM for image cosegmentation. - Xianpeng Liang; Lin Zhu 008; De-Shuang Huang (Neurocomputing, 2017)

Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications. - Lin Zhu 008; Suping Deng; De-Shuang Huang (Neurocomputing, 2017)

Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping. - Lin Yuan 001; Lin Zhu 008; Wei-Li Guo; Xiaobo Zhou 001; Youhua Zhang; Zhenhua Huang 005; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. - Lin Zhu 008; Suping Deng; Zhu-Hong You; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Optimization of Gene Set Annotations Using Robust Trace-Norm Multitask Learning. - Xianpeng Liang; Lin Zhu 008; 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 008; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

LMMO: A Large Margin Approach for Refining Regulatory Motifs. - Lin Zhu 008; Hong-Bo Zhang; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites. - Qinhu Zhang; Lin Zhu 008; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

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 008 (ICIC (3), 2020)

Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding. - Qinhu Zhang; Lin Zhu 008; Wenzheng Bao; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)