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Bo Liao
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Journal Articles
- 2024
- [j66]Minghan Fu, Ming Fang, Rayyan Azam Khan, Bo Liao, Zhanli Hu, Fang-Xiang Wu:
SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis. Artif. Intell. Medicine 157: 102972 (2024) - [j65]Ming Fang, Minghan Fu, Bo Liao, Xiujuan Lei, Fang-Xiang Wu:
Deep integrated fusion of local and global features for cervical cell classification. Comput. Biol. Medicine 171: 108153 (2024) - [j64]Ming Fang, Bo Liao, Xiujuan Lei, Fang-Xiang Wu:
A systematic review on deep learning based methods for cervical cell image analysis. Neurocomputing 610: 128630 (2024) - 2023
- [j63]Shengming He, Zhaocheng Wang, Bo Liao, Jie Zeng, Haorui Liu:
Anomaly detection of hydro-turbine based on audio feature extraction of deep convolutional neural network. Int. J. Comput. Appl. Technol. 73(3): 192-202 (2023) - [j62]Tengfei Zhang, Rongjun Mu, Yilin Zhou, Zizheng Liao, Zhewei Zhang, Bo Liao, Chuang Yao:
A Station-Keeping Control Strategy for a Symmetrical Spacecraft Utilizing Hybrid Low-Thrust Propulsion in the Heliocentric Displaced Orbit. Symmetry 15(8): 1549 (2023) - [j61]Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise Encoding. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2136-2146 (2023) - [j60]Yi Sun, Lijun Cai, Bo Liao, Wen Zhu, Junlin Xu:
A Robust Oversampling Approach for Class Imbalance Problem With Small Disjuncts. IEEE Trans. Knowl. Data Eng. 35(6): 5550-5562 (2023) - 2022
- [j59]Ming Fang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
A Deep Neural Network for Cervical Cell Classification Based on Cytology Images. IEEE Access 10: 130968-130980 (2022) - [j58]Fei Wang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Predicting drug-drug interactions by graph convolutional network with multi-kernel. Briefings Bioinform. 23(1) (2022) - [j57]Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations. Briefings Bioinform. 23(3) (2022) - [j56]Caimao Zhou, Dejun Peng, Bo Liao, Ranran Jia, Fang-Xiang Wu:
ACP_MS: prediction of anticancer peptides based on feature extraction. Briefings Bioinform. 23(6) (2022) - [j55]Fei Wang, Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Identifying Gene Signatures for Cancer Drug Repositioning Based on Sample Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 953-965 (2022) - [j54]Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization. IEEE J. Biomed. Health Informatics 26(1): 446-457 (2022) - [j53]Yi Sun, Lijun Cai, Bo Liao, Wen Zhu:
Minority Sub-Region Estimation-Based Oversampling for Imbalance Learning. IEEE Trans. Knowl. Data Eng. 34(5): 2324-2334 (2022) - 2021
- [j52]Junlin Xu, Lijun Cai, Bo Liao, Wen Zhu, Jialiang Yang:
CMF-Impute: an accurate imputation tool for single cell RNA-seq data. Bioinform. 36(22-23): 5563-5564 (2021) - [j51]Jiechen Li, Haochen Zhao, Zhanwei Xuan, Jingwen Yu, Xiang Feng, Bo Liao, Lei Wang:
A Novel Approach for Potential Human LncRNA-Disease Association Prediction Based on Local Random Walk. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1049-1059 (2021) - [j50]Fei Wang, Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Human Protein Complex-Based Drug Signatures for Personalized Cancer Medicine. IEEE J. Biomed. Health Informatics 25(11): 4079-4088 (2021) - [j49]Ping Luo, Bolin Chen, Bo Liao, Fang-Xiang Wu:
Predicting disease-associated genes: Computational methods, databases, and evaluations. WIREs Data Mining Knowl. Discov. 11(2) (2021) - 2020
- [j48]Yuhua Yao, Binbin Ji, Sihong Shi, Junlin Xu, Xiaofang Xiao, Enchao Yu, Bo Liao, Jialiang Yang:
IMDAILM: Inferring miRNA-Disease Association by Integrating lncRNA and miRNA Data. IEEE Access 8: 16517-16527 (2020) - [j47]Wen Zhu, Kaimei Huang, Xiaofang Xiao, Bo Liao, Yuhua Yao, Fang-Xiang Wu:
ALSBMF: Predicting lncRNA-Disease Associations by Alternating Least Squares Based on Matrix Factorization. IEEE Access 8: 26190-26198 (2020) - [j46]Junlin Xu, Wen Zhu, Lijun Cai, Bo Liao, Yajie Meng, Ju Xiang, Dawei Yuan, Geng Tian, Jialiang Yang:
LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information. IEEE Access 8: 80728-80738 (2020) - [j45]Junlin Xu, Lijun Cai, Bo Liao, Wen Zhu, Jialiang Yang:
CMF-Impute: an accurate imputation tool for single-cell RNA-seq data. Bioinform. 36(10): 3139-3147 (2020) - [j44]Yulian Ding, Bolin Chen, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Predicting novel CircRNA-disease associations based on random walk and logistic regression model. Comput. Biol. Chem. 87: 107287 (2020) - [j43]Xue Jiang, Mohammad Asad, Lin Li, Zhanpeng Sun, Jean-Sébastien Milanese, Bo Liao, Edwin Wang:
Germline genomes have a dominant-heritable contribution to cancer immune evasion and immunotherapy response. Quant. Biol. 8(3): 216-227 (2020) - [j42]Xiaohui Wei, Lijun Cai, Bo Liao, Ting Lu:
Local-View-Assisted Discriminative Band Selection With Hypergraph Autolearning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(3): 2042-2055 (2020) - 2019
- [j41]Linlin Zhuo, Kenli Li, Bo Liao, Hao Li, Xiaohui Wei, Keqin Li:
HCFS: A Density Peak Based Clustering Algorithm Employing A Hierarchical Strategy. IEEE Access 7: 74612-74624 (2019) - [j40]Yuhua Yao, Yaping Lv, Ling Li, Huimin Xu, Binbin Ji, Jing Chen, Chun Li, Bo Liao, Xu-Ying Nan:
Protein sequence information extraction and subcellular localization prediction with gapped k-Mer method. BMC Bioinform. 20-S(22): 719 (2019) - [j39]Peng Wang, Wen Zhu, Haihua Liu, Bo Liao, Lijun Cai, Xiaohui Wei, Siqi Ren, Jialiang Yang:
A new resource allocation strategy based on the relationship between subproblems for MOEA/D. Inf. Sci. 501: 337-362 (2019) - [j38]Siqi Ren, Wen Zhu, Bo Liao, Zeng Li, Peng Wang, Keqin Li, Min Chen, Zejun Li:
Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning. Knowl. Based Syst. 163: 705-722 (2019) - [j37]Xiaohui Wei, Wen Zhu, Bo Liao, Lijun Cai:
Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 57(7): 4360-4374 (2019) - 2018
- [j36]Xiangzheng Fu, Wen Zhu, Bo Liao, Lijun Cai, Lihong Peng, Jialiang Yang:
Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou's PseAAC. IEEE Access 6: 66545-66556 (2018) - [j35]Peng Wang, Bo Liao, Wen Zhu, Lijun Cai, Siqi Ren, Min Chen, Zejun Li, Keqin Li:
Adaptive region adjustment to improve the balance of convergence and diversity in MOEA/D. Appl. Soft Comput. 70: 797-813 (2018) - [j34]Bo Liao, Zhibin Ning, Kai Cheng, Xu Zhang, Leyuan Li, Janice Mayne, Daniel Figeys:
iMetaLab 1.0: a web platform for metaproteomics data analysis. Bioinform. 34(22): 3954-3956 (2018) - [j33]Siqi Ren, Bo Liao, Wen Zhu, Zeng Li, Wei Liu, Keqin Li:
The Gradual Resampling Ensemble for mining imbalanced data streams with concept drift. Neurocomputing 286: 150-166 (2018) - [j32]Wei Xia, Wen Zhu, Bo Liao, Min Chen, Lijun Cai, Lei Huang:
Novel architecture for long short-term memory used in question classification. Neurocomputing 299: 20-31 (2018) - [j31]Siqi Ren, Bo Liao, Wen Zhu, Keqin Li:
Knowledge-maximized ensemble algorithm for different types of concept drift. Inf. Sci. 430: 261-281 (2018) - [j30]Qisheng Zhang, Wen Zhu, Bo Liao, Xiangtao Chen, Lijun Cai:
A modified PBI approach for multi-objective optimization with complex Pareto fronts. Swarm Evol. Comput. 40: 216-237 (2018) - [j29]Xiaohui Wei, Wen Zhu, Bo Liao, Lijun Cai:
Matrix-Based Margin-Maximization Band Selection With Data-Driven Diversity for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(12): 7294-7309 (2018) - 2017
- [j28]Qilin Xiang, Bo Liao, Xianhong Li, Huimin Xu, Jing Chen, Zhuoxing Shi, Qi Dai, Yuhua Yao:
Subcellular localization prediction of apoptosis proteins based on evolutionary information and support vector machine. Artif. Intell. Medicine 78: 41-46 (2017) - [j27]Ying Liang, Kunlong Qiu, Bo Liao, Wen Zhu, Xuanlin Huang, Lin Li, Xiangtao Chen, Keqin Li:
Seeksv: an accurate tool for somatic structural variation and virus integration detection. Bioinform. 33(2): 184-191 (2017) - [j26]Li Huang, Xianhong Li, Pengfei Guo, Yuhua Yao, Bo Liao, Weiwei Zhang, Fayou Wang, Jiasheng Yang, Yulong Zhao, Hailiang Sun, Pingan He, Jialiang Yang:
Matrix completion with side information and its applications in predicting the antigenicity of influenza viruses. Bioinform. 33(20): 3195-3201 (2017) - [j25]Bo Liao, Candace Arai Yano, Shiva Esturi:
Optimizing Site Qualification Across the Supply Network at Western Digital. Interfaces 47(4): 305-319 (2017) - [j24]Bo Liao, Xiangjun Wang, Wen Zhu, Xiong Li, Lijun Cai, Haowen Chen:
New multilocus linkage disequilibrium measure for tag SNP selection. J. Bioinform. Comput. Biol. 15(1): 1750001:1-1750001:16 (2017) - [j23]Lihong Peng, Bo Liao, Wen Zhu, Zejun Li, Keqin Li:
Predicting Drug-Target Interactions With Multi-Information Fusion. IEEE J. Biomed. Health Informatics 21(2): 561-572 (2017) - 2016
- [j22]Quang-Huy Duong, Bo Liao, Philippe Fournier-Viger, Thu-Lan Dam:
An efficient algorithm for mining the top-k high utility itemsets, using novel threshold raising and pruning strategies. Knowl. Based Syst. 104: 106-122 (2016) - [j21]Wei Liang, Bo Liao, Jing Long, Yan Jiang, Li Peng:
Study on PUF based secure protection for IC design. Microprocess. Microsystems 45: 56-66 (2016) - 2015
- [j20]Bo Liao, Sumei Ding, Haowen Chen, Zejun Li, Lijun Cai:
Identifying human microRNA-disease associations by a new diffusion-based method. J. Bioinform. Comput. Biol. 13(4): 1550014:1-1550014:20 (2015) - [j19]Bo Liao, Xiong Li, Lijun Cai, Zhi Cao, Haowen Chen:
A Hierarchical Clustering Method of Selecting Kernel SNP to Unify Informative SNP and Tag SNP. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1): 113-122 (2015) - [j18]Bo Liao, Yan Jiang, Wei Liang, Lihong Peng, Li Peng, Damien Hanyurwimfura, Zejun Li, Min Chen:
On Efficient Feature Ranking Methods for High-Throughput Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1374-1384 (2015) - 2014
- [j17]Damien Hanyurwimfura, Bo Liao, Emmanuel Masabo, Gaurav Bajpai:
A Two-Stage Method for Scientific Papers Analysis. J. Softw. 9(10): 2564-2573 (2014) - [j16]Bo Liao, Yan Jiang, Wei Liang, Wen Zhu, Lijun Cai, Zhi Cao:
Gene Selection Using Locality Sensitive Laplacian Score. IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 1146-1156 (2014) - 2013
- [j15]Xiong Li, Bo Liao, Lijun Cai, Zhi Cao, Wen Zhu:
Informative SNPs Selection Based on Two-Locus and Multilocus Linkage Disequilibrium: Criteria of Max-Correlation and Min-Redundancy. IEEE ACM Trans. Comput. Biol. Bioinform. 10(3): 688-695 (2013) - 2012
- [j14]Bo Liao, Xiong Li, Wen Zhu, Renfa Li, Shulin Wang:
Multiple ant colony algorithm method for selecting tag SNPs. J. Biomed. Informatics 45(5): 931-937 (2012) - [j13]Bo Liao, Xiong Li, Wen Zhu, Zhi Cao:
A Novel Method to Select Informative SNPs and Their Application in Genetic Association Studies. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1529-1534 (2012) - 2011
- [j12]Bo Liao, Benyou Liao, Xinguo Lu, Zhi Cao:
A novel graphical representation of protein sequences and its application. J. Comput. Chem. 32(12): 2539-2544 (2011) - 2010
- [j11]Bo Liao, Benyou Liao, Xingming Sun, Qingguang Zeng:
A Novel method for similarity analysis and protein sub-cellular localization prediction. Bioinform. 26(21): 2678-2683 (2010) - [j10]Bo Liao, Yuan Yan Tang, Lu An:
On Lorenz-like Dynamic Systems with Strengthened Nonlinearity and New Parameters. Int. J. Wavelets Multiresolution Inf. Process. 8(2): 293-311 (2010) - 2009
- [j9]Weiyang Chen, Bo Liao, Wen Zhu, Hao Liu, Qingguang Zeng:
An ant colony pairwise alignment based on the dot plots. J. Comput. Chem. 30(1): 93-97 (2009) - [j8]Weiyang Chen, Bo Liao, Wen Zhu, Xuyu Xiang:
Multiple sequence alignment algorithm based on a dispersion graph and ant colony algorithm. J. Comput. Chem. 30(13): 2031-2038 (2009) - [j7]Bo Liao, Weiyang Chen, Xingming Sun, Wen Zhu:
A binary coding method of RNA secondary structure and its application. J. Comput. Chem. 30(14): 2205-2212 (2009) - 2006
- [j6]Bo Liao, Xuyu Xiang, Wen Zhu:
Coronavirus phylogeny based on 2D graphical representation of DNA sequence. J. Comput. Chem. 27(11): 1196-1202 (2006) - [j5]Bo Liao, Kequan Ding:
A 3D graphical representation of DNA sequences and its application. Theor. Comput. Sci. 358(1): 56-64 (2006) - 2005
- [j4]Bo Liao, Kequan Ding:
Graphical approach to analyzing DNA sequences. J. Comput. Chem. 26(14): 1519-1523 (2005) - 2004
- [j3]Bo Liao, Tian-Ming Wang:
New 2D graphical representation of DNA sequences. J. Comput. Chem. 25(11): 1364-1368 (2004) - [j2]Bo Liao, Tian-Ming Wang:
Analysis of Similarity/Dissimilarity of DNA Sequences Based on Nonoverlapping Triplets of Nucleotide Bases. J. Chem. Inf. Model. 44(5): 1666-1670 (2004) - 2003
- [j1]Bo Liao, Tian-Ming Wang:
General Combinatorics of RNA Hairpins and Cloverleaves. J. Chem. Inf. Comput. Sci. 43(4): 1138-1142 (2003)
Conference and Workshop Papers
- 2023
- [c5]Kang Jiang, Bo Liao, Petros Papagerakis, Fang-Xiang Wu:
Imputing single-cell RNA-seq data by graph autoencoder with multi-kernel. BIBM 2023: 228-232 - 2022
- [c4]Bo Liao, Jie Dai, Aofei Zhang:
Research on Localization Algorithm of Bogie Based on Machine Vision. EITCE 2022: 1851-1856 - 2020
- [c3]Jingsong Zhang, Cheng Bi, Yinglin Wang, Tao Zeng, Bo Liao, Luonan Chen:
Efficient Mining Closed k-Mers from DNA and Protein Sequences. BigComp 2020: 342-349 - 2019
- [c2]Fei Wang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Human Protein Complex Signatures for Drug Repositioning. BCB 2019: 42-50 - 2012
- [c1]Xinguo Lu, Xianghua Peng, Ping Liu, Yong Deng, Bingtao Feng, Bo Liao:
A novel feature selection method based on CFS in cancer recognition. ISB 2012: 226-231
Informal and Other Publications
- 2018
- [i1]Sheng Zhang, Bo Liao, Fei Liao:
Computation of Optimal Control Problems with Terminal Constraint via Variation Evolution. CoRR abs/1801.01383 (2018)
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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