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ORCIDLin Zhu 0008
Person information
- affiliation: Tongji University, Institute of Machine Learning and Systems Biology, Shanghai, China
- affiliation (former): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Lin Zhu — disambiguation page
- Lin Zhu 0001 — Fudan University, Department of Computer Science and Engineering, Shanghai, China
- Lin Zhu 0002 — Tsinghua University
- Lin Zhu 0003
![[0000-0002-2461-597X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2461-597X")
— Shanghai Maritime University, China (and 2 more) - Lin Zhu 0004 — Beijing Normal University
- Lin Zhu 0005 — Tianjin University
- Lin Zhu 0006 — East China University of Science and Technology
- Lin Zhu 0007 — China Three Gorges University
- Lin Zhu 0009 — Southwest Petroleum University, School of Economics and Management Science, Chengdu, China
- Lin Zhu 0010 — Beijing Forestry University, School of Information Science and Technology, China
- Lin Zhu 0011 — Anhui Agricultural University, Mechanical Engineering Department, Hefei, China
- Lin Zhu 0012 — Beijing Institute of Technology, School of Computer Science, China (and 1 more)
- Lin Zhu 0013 — Harbin Institute of Technology, School of Electronics and Information Engineering, China
- Lin Zhu 0014 — Northeastern University, School of Computer and Communication Engineering, Qinhuangdao, China
- Lin Zhu 0015 — Ningxia University, School of Mathematics and Statistics, China
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2020 – today
- 2020
[j22]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): 679-689 (2020)- [c16]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: 291-300
2010 – 2019
- 2019
- [j21]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): 1184-1192 (2019) - 2018
- [j20]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): 913-925 (2018) - [j19]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): 1016-1021 (2018) - [j18]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): 1810-1820 (2018) - 2017
- [j17]Lin Zhu, Hong-Bo Zhang, De-Shuang Huang:
Direct AUC optimization of regulatory motifs. Bioinform. 33(14): i243-i251 (2017) - [j16]Lin Zhu, Suping Deng, De-Shuang Huang:
Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications. Neurocomputing 228: 1-2 (2017) - [j15]Xianpeng Liang, Lin Zhu, De-Shuang Huang:
Multi-task ranking SVM for image cosegmentation. Neurocomputing 247: 126-136 (2017) - [j14]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): 345-352 (2017) - [j13]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): 1154-1164 (2017) - [c15]Liang-xin Gao, Hongbo Zhang, Lin Zhu:
Fast Significant Matches of Position Weight Matrices Based on Diamond Sampling. ICIC (2) 2017: 208-218 - [c14]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: 256-261 - [c13]Dayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang:
Cross-validated smooth multi-instance learning. IJCNN 2017: 1321-1325 - 2016
- [j12]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): 070105:1-070105:10 (2016) - [j11]Lin Zhu, Vitoantonio Bevilacqua, De-Shuang Huang:
Special issue on Advanced Intelligent Computing Methodologies and Applications. Neurocomputing 188: 1-2 (2016) - [j10]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): 27-35 (2016) - [j9]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): 55-63 (2016) - [c12]Lin Zhu, Ning Li, Wenzheng Bao, De-Shuang Huang:
Learning regulatory motifs by direct optimization of Fisher Exact Test Score. BIBM 2016: 86-91 - [c11]Wenzheng Bao, Lin Zhu, De-Shuang Huang:
ILSES: Identification lysine succinylation-sites with ensemble classification. BIBM 2016: 274-277 - [c10]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: 2693-2698 - 2015
- [c9]Lin Zhu, Wei-Li Guo, De-Shuang Huang, Canyi Lu:
Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding. BIBM 2015: 141-144 - [c8]Hongbo Zhang, Lin Zhu, Deshuang Huang:
DiscMLA: AUC-based discriminative motif learning. BIBM 2015: 250-255 - [c7]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: 115-123 - 2014
- [j8]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): S9 (2014) - [j7]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: 37-43 (2014) - [j6]Lin Zhu, De-Shuang Huang:
A Rayleigh-Ritz style method for large-scale discriminant analysis. Pattern Recognit. 47(4): 1698-1708 (2014) - [c6]Lin Zhu, Suping Deng, De-Shuang Huang:
A two-stage geometric method for detecting unreliable links in protein-protein networks. BIBM 2014: 31-36 - [c5]Yushu Gao, Lin Zhu, Hao-Dong Zhu, Yong Gan, Li Shang:
Extract Features Using Stacked Denoised Autoencoder. ICIC (3) 2014: 10-14 - [c4]Lin Zhu, Zhu-Hong You, De-Shuang Huang:
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. ISBRA 2014: 138-148 - [i1]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 abs/1404.6736 (2014) - 2013
- [j5]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): S10 (2013) - [j4]Lin Zhu, De-Shuang Huang:
Efficient optimally regularized discriminant analysis. Neurocomputing 117: 12-21 (2013) - [j3]Lin Zhu, Zhu-Hong You, De-Shuang Huang:
Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding. Neurocomputing 121: 99-107 (2013) - [j2]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): 111-116 (2013) - 2012
- [j1]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): S3 (2012) - [c3]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: 347-360 - [c2]Lin Zhu, De-Shuang Huang:
A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis. IJCNN 2012: 1-8 - 2010
- [c1]Lei Tang, Ying-Ke Lei, Lin Zhu, De-Shuang Huang:
Dimensionality reduction based on minimax risk criterion for face recognition. IJCNN 2010: 1-6
Coauthor Index
aka: Deshuang Huang
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