Lin Zhu

Publication Activity (10 Years)

Years Active: 2010-2020
Publications (10 Years): 21

Top Topics

Intelligent Computing

Protein Interaction

Weight Matrices

Cervical Cancer

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Qinhu Zhang, Lin Zhu, Wenzheng Bao, De-Shuang Huang
Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Xiao-Yu Song, Tong Liu, Ze-Yang Qiu, Zhu-Hong You, Yue Sun, Li-Ting Jin, Xiao-Bei Feng, Lin Zhu
Prediction of lncRNA-Disease Associations from Heterogeneous Information Network Based on DeepWalk Embedding Model. ICIC (3) (2020)
Qinhu Zhang, Lin Zhu, De-Shuang Huang
High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Xianpeng Liang, Lin Zhu, De-Shuang Huang
Optimization of Gene Set Annotations Using Robust Trace-Norm Multitask Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Hongbo Zhang, Lin Zhu, De-Shuang Huang
DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (6) (2018)
Lin Zhu, Hong-Bo Zhang, De-Shuang Huang
LMMO: A Large Margin Approach for Refining Regulatory Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Liang-xin Gao, Hongbo Zhang, Lin Zhu
Fast Significant Matches of Position Weight Matrices Based on Diamond Sampling. ICIC (2) (2017)
Lin Zhu, Hong-Bo Zhang, De-Shuang Huang
Direct AUC optimization of regulatory motifs. Bioinform. 33 (14) (2017)
Chong-Ya Li, Lin Zhu, Wenzheng Bao, Yong-Li Jiang, Chang-An Yuan, De-Shuang Huang
Convex local sensitive low rank matrix approximation. IJCNN (2017)
Lin Zhu, Suping Deng, Zhu-Hong You, De-Shuang Huang
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (2) (2017)
Lin Yuan, Lin Zhu, Wei-Li Guo, Xiaobo Zhou, Youhua Zhang, Zhenhua Huang, De-Shuang Huang
Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (5) (2017)
Dayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang
Cross-validated smooth multi-instance learning. IJCNN (2017)
Lin Zhu, Suping Deng, De-Shuang Huang
Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications. Neurocomputing 228 (2017)
Xianpeng Liang, Lin Zhu, De-Shuang Huang
Multi-task ranking SVM for image cosegmentation. Neurocomputing 247 (2017)
Suping Deng, Lin Zhu, De-Shuang Huang
Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (1) (2016)
Wei-Li Guo, Lin Zhu, Suping Deng, Xing-Ming Zhao, Deshuang Huang
Understanding tissue-specificity with human tissue-specific regulatory networks. Sci. China Inf. Sci. 59 (7) (2016)
Wenzheng Bao, Lin Zhu, De-Shuang Huang
ILSES: Identification lysine succinylation-sites with ensemble classification. BIBM (2016)
Lin Zhu, Wei-Li Guo, Suping Deng, De-Shuang Huang
ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (1) (2016)
Lin Zhu, Ning Li, Wenzheng Bao, De-Shuang Huang
Learning regulatory motifs by direct optimization of Fisher Exact Test Score. BIBM (2016)
Qing-Yi Liu, Lin Zhu, De-Shuang Huang, Gang Wang, Xiao-Ping (Steven) Zhang, Li Shang, Zhi-Kai Huang
Visual data completion via local sensitive low rank tensor learning. IJCNN (2016)
Lin Zhu, Vitoantonio Bevilacqua, De-Shuang Huang
Special issue on Advanced Intelligent Computing Methodologies and Applications. Neurocomputing 188 (2016)
Hongbo Zhang, Lin Zhu, Deshuang Huang
DiscMLA: AUC-based discriminative motif learning. BIBM (2015)
Zhiyu Liu, Lin Zhu, Xiao-Ping (Steven) Zhang, Xiaobo Zhou, Li Shang, Zhi-Kai Huang, Yong Gan
Hybrid Deep Learning for Plant Leaves Classification. ICIC (2) (2015)
Lin Zhu, Wei-Li Guo, De-Shuang Huang, Canyi Lu
Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding. BIBM (2015)
Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan
Robust and Efficient Subspace Segmentation via Least Squares Regression. CoRR (2014)
Lin Zhu, Suping Deng, De-Shuang Huang
A two-stage geometric method for detecting unreliable links in protein-protein networks. BIBM (2014)
Zhu-Hong You, Lin Zhu, Chun-Hou Zheng, Hongjie Yu, Suping Deng, Zhen Ji
Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set. BMC Bioinform. 15 (S-15) (2014)
Zhu-Hong You, Jian-Zhong Yu, Lin Zhu, Shuai Li, Zhenkun Wen
A MapReduce based parallel SVM for large-scale predicting protein-protein interactions. Neurocomputing 145 (2014)
Yushu Gao, Lin Zhu, Hao-Dong Zhu, Yong Gan, Li Shang
Extract Features Using Stacked Denoised Autoencoder. ICIC (3) (2014)
Lin Zhu, Zhu-Hong You, De-Shuang Huang
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. ISBRA (2014)
Lin Zhu, De-Shuang Huang
A Rayleigh-Ritz style method for large-scale discriminant analysis. Pattern Recognit. 47 (4) (2014)
Can-Yi Lu, Hai Min, Jie Gui, Lin Zhu, Ying-Ke Lei
Face recognition via Weighted Sparse Representation. J. Vis. Commun. Image Represent. 24 (2) (2013)
Lin Zhu, Zhu-Hong You, De-Shuang Huang
Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding. Neurocomputing 121 (2013)
Zhu-Hong You, Ying-Ke Lei, Lin Zhu, Junfeng Xia, Bing Wang
Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis. BMC Bioinform. 14 (S-8) (2013)
Lin Zhu, De-Shuang Huang
Efficient optimally regularized discriminant analysis. Neurocomputing 117 (2013)
Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan
Robust and Efficient Subspace Segmentation via Least Squares Regression. ECCV (7) (2012)
Ying-Ke Lei, Zhuhong You, Zhen Ji, Lin Zhu, De-Shuang Huang
Assessing and predicting protein interactions by combining manifold embedding with multiple information integration. BMC Bioinform. 13 (S-7) (2012)
Lin Zhu, De-Shuang Huang
A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis. IJCNN (2012)
Lei Tang, Ying-Ke Lei, Lin Zhu, De-Shuang Huang
Dimensionality reduction based on minimax risk criterion for face recognition. IJCNN (2010)