Lin Zhu - RankMe

39 papers B 5Journal 23Unranked 11

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