Two-way mutation evolution strategies. - Yong Liang 001; Kwong-Sak Leung (IEEE Congress on Evolutionary Computation, 2002)

Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization. - Kwong-Sak Leung; Yong Liang 001 (GECCO, 2003)

Evolution Strategies with a Fourier Series Auxiliary Function for Difficult Function Optimization. - Kwong-Sak Leung; Yong Liang 001 (IDEAL, 2003)

Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs. - Zongben Xu; Kwong-Sak Leung; Yong Liang 001; Yee Leung (Appl. Math. Comput., 2003)

Evolutionary Drug Scheduling Model for Cancer Chemotherapy. - Yong Liang 001; Kwong-Sak Leung; Tony Shu Kam Mok (GECCO (2), 2004)

Multi-drug cancer chemotherapy scheduling by a new memetic optimization algorithm. - Sui-Man Tse; Yong Liang 001; Kwong-Sak Leung; Kin-Hong Lee; Tony Shu Kam Mok (Congress on Evolutionary Computation, 2005)

A Novel Binary Variable Representation for Genetic and Evolutionary Algorithms. - Yong Liang 001; Kwong-Sak Leung; Kin-Hong Lee (IEEE Congress on Evolutionary Computation, 2006)

Optimal Control of a Cancer Chemotherapy Problem with Different Toxic Elimination Processes. - Yong Liang 001; Kwong-Sak Leung; Tony Shu Kam Mok (IEEE Congress on Evolutionary Computation, 2006)

A splicing/decomposable encoding and its novel operators for genetic algorithms. - Yong Liang 001; Kwong-Sak Leung; Kin-Hong Lee (GECCO, 2006)

Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation. - Yong Liang 001; Kwong-Sak Leung; Tony Shu Kam Mok (GECCO, 2006)

Evolution strategies with exclusion-based selection operators and a Fourier series auxiliary function. - Yong Liang 001; Kwong-Sak Leung (Appl. Math. Comput., 2006)

A Novel Evolutionary Drug Scheduling Model in Cancer Chemotherapy. - Yong Liang 001; Kwong-Sak Leung; Tony Shu Kam Mok (IEEE Trans. Inf. Technol. Biomed., 2006)

Fast Drug Scheduling Optimization Approach for Cancer Chemotherapy. - Yong Liang 001; Kwong-Sak Leung; Tony Shu Kam Mok (International Conference on Computational Science (4), 2007)

Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding. - Yong Liang 001; Kwong-Sak Leung; Zongben Xu (ISNN (2), 2007)

A novel splicing/decomposable binary encoding and its operators for genetic and evolutionary algorithms. - Yong Liang 001; Kwong-Sak Leung; Zongben Xu (Appl. Math. Comput., 2007)

A Memetic Algorithm for Multiple-Drug Cancer Chemotherapy Schedule Optimization. - Sui-Man Tse; Yong Liang 001; Kwong-Sak Leung; Kin-Hong Lee; Tony Shu Kam Mok (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Evolutionary drug scheduling models with different toxicity metabolism in cancer chemotherapy. - Yong Liang 001; Kwong-Sak Leung; Tony Shu Kam Mok (Appl. Soft Comput., 2008)

L1/2 regularization. - Zongben Xu; Hai Zhang 001; Yao Wang 003; Xiangyu Chang; Yong Liang 001 (Sci. China Inf. Sci., 2010)

Genetic Algorithm with adaptive elitist-population strategies for multimodal function optimization. - Yong Liang 001; Kwong-Sak Leung (Appl. Soft Comput., 2011)

Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model. - Cheng Liu; Yong Liang 001; Xin-Ze Luan; Kwong-Sak Leung; Tak-Ming Chan; Zongben Xu; Hai Zhang 001 (ICSI (2), 2012)

Regularization Path for Linear Model via Net Method. - Xin-Ze Luan; Yong Liang 001; Cheng Liu; Zongben Xu; Hai Zhang 001; Kwong-Sak Leung; Tak-Ming Chan (ICSI (2), 2012)

The essential ability of sparse reconstruction of different compressive sensing strategies. - Hai Zhang 001; Yong Liang 001; HaiLiang Gou; Zongben Xu (Sci. China Inf. Sci., 2012)

Genetic algorithm for dimer-led and error-restricted spaced motif discovery. - Tak-Ming Chan; Leung-Yau Lo; Man-Leung Wong; Yong Liang 001; Kwong-Sak Leung (CIBCB, 2013)

Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification. - Yong Liang 001; Cheng Liu; Xin-Ze Luan; Kwong-Sak Leung; Tak-Ming Chan; Zongben Xu; Hai Zhang 001 (BMC Bioinform., 2013)

The L1/2 regularization method for variable selection in the Cox model. - Cheng Liu; Yong Liang 001; Xin-Ze Luan; Kwong-Sak Leung; Tak-Ming Chan; Zongben Xu; Hai Zhang 001 (Appl. Soft Comput., 2014)

A novel L1/2 regularization shooting method for Cox's proportional hazards model. - Xin-Ze Luan; Yong Liang 001; Cheng Liu; Kwong-Sak Leung; Tak-Ming Chan; Zongben Xu; Hai Zhang 001 (Soft Comput., 2014)

The L1/2 regularization approach for survival analysis in the accelerated failure time model. - Hua Chai; Yong Liang 001; Xiao-Ying Liu 003 (Comput. Biol. Medicine, 2015)

Image Super-Resolution Reconstruction via L1/2 and S1/2 Regularizations. - Liang-Yong Xia; Xu-Xin Lin; Yong Liang 001; Hong-kun Jiang; Hua Chai; Hai-Hui Huang (DICTA, 2016)

Low-rank and sparse matrix decomposition based on S1/2 and L1/2 regularizations in dynamic MRI. - Xu-Xin Lin; Liang-Yong Xia; Yong Liang 001; Hai-Hui Huang; Hua Chai; Kuok-Fan Chan (IPTA, 2016)

Molecular pathway identification using a new L1/2 solver and biological network-constrained model. - Hai-Hui Huang; Xiao-Ying Liu 003; Hui-Min Li; Yong Liang 001 (Int. J. Data Min. Bioinform., 2017)

Microarray-Based Cancer Prediction Using Single-Gene Ensemble Classifier. - Ziyi Yang; Yanqiong Ren; Hui Zhang 032; Yong Liang 001 (IScIDE, 2018)

A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection. - Xiao-Ying Liu 003; Yong Liang 001; Sai Wang; Ziyi Yang; Han-Shuo Ye (IEEE Access, 2018)

Robust Sparse Logistic Regression With the Lq (0 < q < 1) Regularization for Feature Selection Using Gene Expression Data. - Ziyi Yang; Yong Liang 001; Hui Zhang 032; Hua Chai; Bowen Zhang 005; Cheng Peng 003 (IEEE Access, 2018)

The L1/2 regularization network Cox model for analysis of genomic data. - Hong-kun Jiang; Yong Liang 001 (Comput. Biol. Medicine, 2018)

Hybrid L1/2 + 2 method for gene selection in the Cox proportional hazards model. - Hai-Hui Huang; Yong Liang 001 (Comput. Methods Programs Biomed., 2018)

MSPL: Multimodal Self-Paced Learning for Multi-Omics Feature Selection and Data Integration. - Ziyi Yang; Liang-Yong Xia; Hui Zhang 032; Yong Liang 001 (IEEE Access, 2019)

Approximate Message Passing Algorithm for Nonconvex Regularization. - Hui Zhang 032; Hai Zhang 001; Yong Liang 001; Ziyi Yang; Yanqiong Ren (IEEE Access, 2019)

Structure learning of sparse directed acyclic graphs incorporating the scale-free property. - Xiao Guo; Hai Zhang 001; Yao Wang 003; Yong Liang 001 (Comput. Stat., 2019)

An integrative analysis system of gene expression using self-paced learning and SCAD-Net. - Hai-Hui Huang; Yong Liang 001 (Expert Syst. Appl., 2019)

Improved Prediction of Drug-Target Interactions Using Self-Paced Learning with Collaborative Matrix Factorization. - Liang-Yong Xia; Ziyi Yang; Hui Zhang 032; Yong Liang 001 (J. Chem. Inf. Model., 2019)

A Feature Extraction Method Based on Differential Entropy and Linear Discriminant Analysis for Emotion Recognition. - Dongwei Chen; Rui Miao 002; Wei-Qi Yang; Yong Liang 001; Hao-Heng Chen; Lan Huang; Chunjian Deng; Na Han (Sensors, 2019)

A Genotype-Based Ensemble Classifier System for Non-Small-Cell Lung Cancer. - Yanqiong Ren; Ziyi Yang; Hui Zhang 032; Yong Liang 001; Hai-Hui Huang; Hua Chai (IEEE Access, 2020)

A Modified Spectral Gradient Projection Method for Solving Non-Linear Monotone Equations With Convex Constraints and Its Application. - Li Zheng; Lei Yang 056; Yong Liang 001 (IEEE Access, 2020)

Structural Residual Learning for Single Image Rain Removal. - Hong Wang 021; Yichen Wu; Qi Xie; Qian Zhao 002; Yong Liang 001; Deyu Meng (CoRR, 2020)

Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction. - Ziyi Yang; Jun Shu; Yong Liang 001; Deyu Meng; Zongben Xu (CoRR, 2020)

Sparse Logistic Regression With L1/2 Penalty for Emotion Recognition in Electroencephalography Classification. - Dongwei Chen; Rui Miao 002; Zhao-Yong Deng; Yue-Yue Lu; Yong Liang 001; Lan Huang (Frontiers Neuroinformatics, 2020)

A conjugate gradient projection method for solving equations with convex constraints. - Li Zheng; Lei Yang 056; Yong Liang 001 (J. Comput. Appl. Math., 2020)

A greedy screening test strategy to accelerate solving LASSO problems with small regularization parameters. - Hai-Wei Shen; Hua Chai; Liang-Yong Xia; Sheng-Bing Wu; Wei Qu; Yong Liang 001; Xiang-Tao Liu (Soft Comput., 2020)

Novel Regularization Method for Biomarker Selection and Cancer Classification. - Xiao-Ying Liu 003; Sai Wang; Hai Zhang 001; Hui Zhang 032; Ziyi Yang; Yong Liang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Modeling the Impact of the MoreData Parameter for Wireless Power-Saving Protocols. - Li Feng 001; Qinglin Zhao; Zhiguo Shi 001; Zhenni Li; Yong Liang 001 (IEEE Trans. Green Commun. Netw., 2020)

SatOpt Partition: Dividing Throughput-Stability Region for IEEE 802.11 DCF Networks. - Qinglin Zhao; Li Feng 001; Lian Zhao; Zhenni Li; Yong Liang 001 (IEEE Trans. Veh. Technol., 2020)

Feature Gene Selection based on L1/2+2 Regularization. - Zhenyu He 009; Yong Liang 001; Ling Huang 002; Wenzhong Wang; Jinfeng Wang 003 (ICBBS, 2021)

UMLF-COVID: an unsupervised meta-learning model specifically designed to identify X-ray images of COVID-19 patients. - Rui Miao 002; Xin Dong; Sheng-Li Xie; Yong Liang 001; Sio-Long Lo (BMC Medical Imaging, 2021)

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. - Hong Wang 021; Qi Xie; Qian Zhao 002; Yong Liang 001; Deyu Meng (CoRR, 2021)

SPLSN: An efficient tool for survival analysis and biomarker selection. - Hai-Hui Huang; Xindong Peng; Yong Liang 001 (Int. J. Intell. Syst., 2021)

Multi-view feature selection via sparse tensor regression. - Haoliang Yuan; Sio-Long Lo; Ming Yin; Yong Liang 001 (Int. J. Wavelets Multiresolution Inf. Process., 2021)

ERFR-CTC: Exploiting Residual Frequency Resources in Physical-Level Cross-Technology Communication. - Shumin Yao; Li Feng 001; Qinglin Zhao; Qiyu Yang; Yong Liang 001 (IEEE Internet Things J., 2021)

Structural residual learning for single image rain removal. - Hong Wang 021; Yichen Wu; Qi Xie; Qian Zhao 002; Yong Liang 001; Shijun Zhang; Deyu Meng (Knowl. Based Syst., 2021)

A Novel Cox Proportional Hazards Model for High-Dimensional Genomic Data in Cancer Prognosis. - Hai-Hui Huang; Yong Liang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

SSGL1/2: An Improved SVM with Smooth GroupL1/2 for Predicting AD. - Jinfeng Wang 003; ShuaiHui Hang; Yong Liang 001; Jing Qin; Wenzhong Wang (BIBM, 2022)

Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization. - Dong Ouyang; Yong Liang 001; Jianjun Wang; Xiaoying Liu 003; Shengli Xie; Rui Miao 002; Ning Ai; Le Li; Qi Dang (Briefings Bioinform., 2022)

A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression. - Hai-Hui Huang; Hao Rao; Rui Miao 002; Yong Liang 001 (BMC Bioinform., 2022)

MHDMF: Prediction of miRNA-disease associations based on Deep Matrix Factorization with Multi-source Graph Convolutional Network. - Ning Ai; Yong Liang 001; Hao-Laing Yuan; Dong Ouyang; Xiao-Ying Liu 003; Shengli Xie; Yu-Han Ji (Comput. Biol. Medicine, 2022)

SLNL: A novel method for gene selection and phenotype classification. - Hai-Hui Huang; Naiqi Wu; Yong Liang 001; Xindong Peng; Jun Shu (Int. J. Intell. Syst., 2022)

Erratum: Multi-view feature selection via sparse tensor regression. - Haoliang Yuan; Sio-Long Lo; Ming Yin; Yong Liang 001 (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies. - Rui Miao 002; Qi Dang; Jie Cai; Hai-Hui Huang; Sheng-Li Xie; Yong Liang 001 (Medical Biol. Eng. Comput., 2022)

SMSPL: Robust Multimodal Approach to Integrative Analysis of Multiomics Data. - Ziyi Yang; Naiqi Wu; Yong Liang 001; Hui Zhang 032; Yanqiong Ren (IEEE Trans. Cybern., 2022)

Backoff Entropy: Predicting Presaturation Peak for IEEE 802.11 DCF Networks. - Qinglin Zhao; Li Feng 001; Lian Zhao; Kan Xie; Yong Liang 001 (IEEE Trans. Veh. Technol., 2022)

UAMPnet: Unrolled approximate message passing network for nonconvex regularization. - Hui Zhang 032; Shoujiang Li; Yong Liang 001; Hai Zhang 001; Mengmeng Du (Expert Syst. Appl., 2023)

Improved Computational Drug-Repositioning by Self-Paced Non-Negative Matrix Tri-Factorization. - Qi Dang; Yong Liang 001; Dong Ouyang; Rui Miao 002; Caijin Ling; Xiaoying Liu 003; Shengli Xie (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images. - Le Li; Yong Liang 001; Mingwen Shao; Shanghui Lu; Shuilin Liao; Dong Ouyang (Comput. Biol. Medicine, 2023)

A distributed sparse logistic regression with L1/2 regularization for microarray biomarker discovery in cancer classification. - Ning Ai; Ziyi Yang; Hao-Laing Yuan; Dong Ouyang; Rui Miao 002; Yu-Han Ji; Yong Liang 001 (Soft Comput., 2023)

A calibrated SVM based on weighted smooth GL1/2 for Alzheimer's disease prediction. - Jinfeng Wang 003; ShuaiHui Huang; Zhiwen Wang; Dong Huang; Jing Qin; Hui Wang 001; Wenzhong Wang; Yong Liang 001 (Comput. Biol. Medicine, 2023)

Integration of multi-omics data using adaptive graph learning and attention mechanism for patient classification and biomarker identification. - Dong Ouyang; Yong Liang 001; Le Li; Ning Ai; Shanghui Lu; Mingkun Yu; Xiaoying Liu 003; Shengli Xie (Comput. Biol. Medicine, 2023)

MM-GANN-DDI: Multimodal Graph-Agnostic Neural Networks for Predicting Drug-Drug Interaction Events. - Junning Feng; Yong Liang 001; Tianwei Yu (Comput. Biol. Medicine, 2023)

Controlled variable selection with nonconvex regularization for identifying biomarkers. - Shoujiang Li; Hui Zhang 032; Yong Liang 001 (Biomed. Signal Process. Control., 2024)

An Integrated Multi-omics prediction model for stroke recurrence based on Lnet transformer layer and dynamic weighting mechanism. - Rui Miao 002; Siyuan Li; Daying Fan; Fangxin Luoye; Jing Zhang; Wenli Zheng; Minglan Zhu; Aiting Zhou; Xianlin Wang; Shan Yan; Yong Liang 001; Ren-Li Deng (Comput. Biol. Medicine, 2024)

PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis. - Le Li; Hudan Pan; Yong Liang 001; Mingwen Shao; Shengli Xie; Shanghui Lu; Shuilin Liao (Knowl. Based Syst., 2024)

HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations. - Dong Ouyang; Yong Liang 001; Jinfeng Wang; Le Li; Ning Ai; Junning Feng; Shanghui Lu; Shuilin Liao; Xiaoying Liu 003; Shengli Xie (PLoS Comput. Biol., 2024)

OR-EDI: A Per-Edge One-Round Data Integrity Verification Scheme for Mobile Edge Computing. - Jian Li; Qinglin Zhao; Hanlei Cheng; Shaohua Teng; Naiqi Wu; Yong Liang 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Contention With Collision Detection in Wireless Full-Duplex Networks. - Qinglin Zhao; Tong Jin; Fangxin Xu; Lian Zhao; Li Feng 001; Yong Liang 001 (IEEE Internet Things J., 2024)

FF-GLAM-cs: a fusion framework based on GLAM with channel shuffle for speech emotion recognition. - Jinfeng Wang 003; Zhishen Zheng; Yong Liang 001; Jing Qin; Wenzhong Wang (Int. J. Mach. Learn. Cybern., 2024)

MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification. - Hai-Hui Huang; Jun Shu; Yong Liang 001 (IEEE J. Biomed. Health Informatics, 2024)

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. - Hong Wang 021; Qi Xie; Qian Zhao 002; Yuexiang Li; Yong Liang 001; Yefeng Zheng 001; Deyu Meng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification. - Ning Ai; Haoliang Yuan; Yong Liang 001; Shanghui Lu; Dong Ouyang; Qi Hong Lai; Loi Lei Lai (IEEE J. Biomed. Health Informatics, 2024)

SMPR: A structure-enhanced multimodal drug-disease prediction model for drug repositioning and cold start. - Xin Dong; Rui Miao 002; Suyan Zhang; Shuaibing Jia; Leifeng Zhang; Yong Liang 001; Jianhua Zhang; Yi Zhun Zhu (CoRR, 2025)