Yong Liang

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 35

Top Topics

Cancer Classification

Feature Selection

Gene Expression

Regularization Method

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Comput. Biol. Medicine

Publications

Qinglin Zhao, Tong Jin, Fangxin Xu, Lian Zhao, Li Feng, Yong Liang
Contention With Collision Detection in Wireless Full-Duplex Networks. IEEE Internet Things J. 11 (6) (2024)
Shoujiang Li, Hui Zhang, Yong Liang
Controlled variable selection with nonconvex regularization for identifying biomarkers. Biomed. Signal Process. Control. 91 (2024)
Hai-Hui Huang, Jun Shu, Yong Liang
MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Hong Wang, Qi Xie, Qian Zhao, Yuexiang Li, Yong Liang, Yefeng Zheng, Deyu Meng
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Le Li, Hudan Pan, Yong Liang, Mingwen Shao, Shengli Xie, Shanghui Lu, Shuilin liao
PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis. Knowl. Based Syst. 289 (2024)
Jian Li, Qinglin Zhao, Hanlei Cheng, Shaohua Teng, Naiqi Wu, Yong Liang
OR-EDI: A Per-Edge One-Round Data Integrity Verification Scheme for Mobile Edge Computing. IEEE Trans. Netw. Sci. Eng. 11 (2) (2024)
Dong Ouyang, Yong Liang, Le Li, Ning Ai, Shanghui Lu, Mingkun Yu, Xiao-Ying Liu, Shengli Xie
Integration of multi-omics data using adaptive graph learning and attention mechanism for patient classification and biomarker identification. Comput. Biol. Medicine 164 (2023)
Qi Dang, Yong Liang, Dong Ou-Yang, Rui Miao, Caijin Ling, Xiao-Ying Liu, Shengli Xie
Improved Computational Drug-Repositioning by Self-Paced Non-Negative Matrix Tri-Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
Ning Ai, Ziyi Yang, Hao-Laing Yuan, Dong Ou-Yang, Rui Miao, Yu-Han Ji, Yong Liang
regularization for microarray biomarker discovery in cancer classification. Soft Comput. 27 (5) (2023)
Hai-Hui Huang, Naiqi Wu, Yong Liang, Xindong Peng, Jun Shu
SLNL: A novel method for gene selection and phenotype classification. Int. J. Intell. Syst. 37 (9) (2022)
Rui Miao, Qi Dang, Jie Cai, Hai-Hui Huang, Sheng-Li Xie, Yong Liang
Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies. Medical Biol. Eng. Comput. 60 (9) (2022)
Ziyi Yang, Naiqi Wu, Yong Liang, Hui Zhang, Yanqiong Ren
SMSPL: Robust Multimodal Approach to Integrative Analysis of Multiomics Data. IEEE Trans. Cybern. 52 (4) (2022)
Qinglin Zhao, Li Feng, Lian Zhao, Kan Xie, Yong Liang
Backoff Entropy: Predicting Presaturation Peak for IEEE 802.11 DCF Networks. IEEE Trans. Veh. Technol. 71 (2) (2022)
Dong Ou-Yang, Yong Liang, Jianjun Wang, Xiao-Ying Liu, Shengli Xie, Rui Miao, Ning Ai, Le Li, Qi Dang
Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization. Briefings Bioinform. 23 (6) (2022)
Hai-Hui Huang, Hao Rao, Rui Miao, Yong Liang
A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression. BMC Bioinform. (10) (2022)
Hai-Hui Huang, Xindong Peng, Yong Liang
SPLSN: An efficient tool for survival analysis and biomarker selection. Int. J. Intell. Syst. 36 (10) (2021)
Hai-Hui Huang, Yong Liang
A Novel Cox Proportional Hazards Model for High-Dimensional Genomic Data in Cancer Prognosis. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Shumin Yao, Li Feng, Qinglin Zhao, Qiyu Yang, Yong Liang
ERFR-CTC: Exploiting Residual Frequency Resources in Physical-Level Cross-Technology Communication. IEEE Internet Things J. 8 (7) (2021)
Li Zheng, Lei Yang, Yong Liang
A Modified Spectral Gradient Projection Method for Solving Non-Linear Monotone Equations With Convex Constraints and Its Application. IEEE Access 8 (2020)
Qinglin Zhao, Li Feng, Lian Zhao, Zhenni Li, Yong Liang
SatOpt Partition: Dividing Throughput-Stability Region for IEEE 802.11 DCF Networks. IEEE Trans. Veh. Technol. 69 (9) (2020)
Xiao-Ying Liu, Sai Wang, Hai Zhang, Hui Zhang, Ziyi Yang, Yong Liang
Novel Regularization Method for Biomarker Selection and Cancer Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Li Feng, Qinglin Zhao, Zhiguo Shi, Zhenni Li, Yong Liang
Modeling the Impact of the MoreData Parameter for Wireless Power-Saving Protocols. IEEE Trans. Green Commun. Netw. 4 (4) (2020)
Hai-Wei Shen, Hua Chai, Liang-Yong Xia, Sheng-Bing Wu, Wei Qu, Yong Liang, Xiang-Tao Liu
A greedy screening test strategy to accelerate solving LASSO problems with small regularization parameters. Soft Comput. 24 (7) (2020)
Yanqiong Ren, Ziyi Yang, Hui Zhang, Yong Liang, Hai-Hui Huang, Hua Chai
A Genotype-Based Ensemble Classifier System for Non-Small-Cell Lung Cancer. IEEE Access 8 (2020)
Hai-Hui Huang, Yong Liang
An integrative analysis system of gene expression using self-paced learning and SCAD-Net. Expert Syst. Appl. 135 (2019)
Hui Zhang, Hai Zhang, Yong Liang, Ziyi Yang, Yanqiong Ren
Approximate Message Passing Algorithm for Nonconvex Regularization. IEEE Access 7 (2019)
Ziyi Yang, Liang-Yong Xia, Hui Zhang, Yong Liang
MSPL: Multimodal Self-Paced Learning for Multi-Omics Feature Selection and Data Integration. IEEE Access 7 (2019)
Ziyi Yang, Yong Liang, Hui Zhang, Hua Chai, Bowen Zhang, Cheng Peng
(0 < q < 1) Regularization for Feature Selection Using Gene Expression Data. IEEE Access 6 (2018)
Ziyi Yang, Yanqiong Ren, Hui Zhang, Yong Liang
Microarray-Based Cancer Prediction Using Single-Gene Ensemble Classifier. IScIDE (2018)
Xiao-Ying Liu, Yong Liang, Sai Wang, Ziyi Yang, Han-Shuo Ye
A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection. IEEE Access 6 (2018)
Hai-Hui Huang, Yong Liang
method for gene selection in the Cox proportional hazards model. Comput. Methods Programs Biomed. 164 (2018)
Hong-kun Jiang, Yong Liang
regularization network Cox model for analysis of genomic data. Comput. Biol. Medicine 100 (2018)
Hai-Hui Huang, Xiao-Ying Liu, Hui-Min Li, Yong Liang
solver and biological network-constrained model. Int. J. Data Min. Bioinform. 17 (3) (2017)
Xu-Xin Lin, Liang-Yong Xia, Yong Liang, Hai-Hui Huang, Hua Chai, Kuok-Fan Chan
Low-rank and sparse matrix decomposition based on S1/2 and L1/2 regularizations in dynamic MRI. IPTA (2016)
Liang-Yong Xia, Xu-Xin Lin, Yong Liang, Hong-kun Jiang, Hua Chai, Hai-Hui Huang
Image Super-Resolution Reconstruction via L1/2 and S1/2 Regularizations. DICTA (2016)
Hua Chai, Yong Liang, Xiao-Ying Liu
regularization approach for survival analysis in the accelerated failure time model. Comput. Biol. Medicine 64 (2015)
Xin-Ze Luan, Yong Liang, Cheng Liu, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
A novel L1/2 regularization shooting method for Cox's proportional hazards model. Soft Comput. 18 (1) (2014)
Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
regularization method for variable selection in the Cox model. Appl. Soft Comput. 14 (2014)
Yong Liang, Cheng Liu, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification. BMC Bioinform. 14 (2013)
Tak-Ming Chan, Leung-Yau Lo, Man-Leung Wong, Yong Liang, Kwong-Sak Leung
Genetic algorithm for dimer-led and error-restricted spaced motif discovery. CIBCB (2013)
Xin-Ze Luan, Yong Liang, Cheng Liu, Zongben Xu, Hai Zhang, Kwong-Sak Leung, Tak-Ming Chan
Regularization Path for Linear Model via Net Method. ICSI (2) (2012)
Hai Zhang, Yong Liang, HaiLiang Gou, Zongben Xu
The essential ability of sparse reconstruction of different compressive sensing strategies. Sci. China Inf. Sci. 55 (11) (2012)
Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model. ICSI (2) (2012)
Yong Liang, Kwong-Sak Leung
Genetic Algorithm with adaptive elitist-population strategies for multimodal function optimization. Appl. Soft Comput. 11 (2) (2011)
Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang, Yong Liang
regularization. Sci. China Inf. Sci. 53 (6) (2010)
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
Evolutionary drug scheduling models with different toxicity metabolism in cancer chemotherapy. Appl. Soft Comput. 8 (1) (2008)
Sui-Man Tse, Yong Liang, Kwong-Sak Leung, Kin-Hong Lee, Tony Shu Kam Mok
A Memetic Algorithm for Multiple-Drug Cancer Chemotherapy Schedule Optimization. IEEE Trans. Syst. Man Cybern. Part B 37 (1) (2007)
Yong Liang, Kwong-Sak Leung, Zongben Xu
Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding. ISNN (2) (2007)
Yong Liang, Kwong-Sak Leung, Zongben Xu
A novel splicing/decomposable binary encoding and its operators for genetic and evolutionary algorithms. Appl. Math. Comput. 190 (1) (2007)
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
Fast Drug Scheduling Optimization Approach for Cancer Chemotherapy. International Conference on Computational Science (4) (2007)
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
Optimal Control of a Cancer Chemotherapy Problem with Different Toxic Elimination Processes. IEEE Congress on Evolutionary Computation (2006)
Yong Liang, Kwong-Sak Leung, Kin-Hong Lee
A splicing/decomposable encoding and its novel operators for genetic algorithms. GECCO (2006)
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
A Novel Evolutionary Drug Scheduling Model in Cancer Chemotherapy. IEEE Trans. Inf. Technol. Biomed. 10 (2) (2006)
Yong Liang, Kwong-Sak Leung, Kin-Hong Lee
A Novel Binary Variable Representation for Genetic and Evolutionary Algorithms. IEEE Congress on Evolutionary Computation (2006)
Yong Liang, Kwong-Sak Leung
Evolution strategies with exclusion-based selection operators and a Fourier series auxiliary function. Appl. Math. Comput. 174 (2) (2006)
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation. GECCO (2006)
Sui-Man Tse, Yong Liang, Kwong-Sak Leung, Kin-Hong Lee, Tony Shu Kam Mok
Multi-drug cancer chemotherapy scheduling by a new memetic optimization algorithm. Congress on Evolutionary Computation (2005)
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
Evolutionary Drug Scheduling Model for Cancer Chemotherapy. GECCO (2) (2004)
Kwong-Sak Leung, Yong Liang
Evolution Strategies with a Fourier Series Auxiliary Function for Difficult Function Optimization. IDEAL (2003)
Zongben Xu, Kwong-Sak Leung, Yong Liang, Yee Leung
Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs. Appl. Math. Comput. 142 (2-3) (2003)
Kwong-Sak Leung, Yong Liang
Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function. GECCO (2003)
Kwong-Sak Leung, Yong Liang
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization. GECCO (2003)
Yong Liang, Kwong-Sak Leung
Two-way mutation evolution strategies. IEEE Congress on Evolutionary Computation (2002)