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ORCIDYong Liang 0001
Person information
- affiliation: Peng Cheng Laboratory, Shenzhen, China
- affiliation: Macau University of Science and Technology, Faculty of Information Technology, Taipa, Macau
- affiliation (PhD 2003): Chinese University of Hong Kong, Hong Kong
Other persons with the same name
- Yong Liang — disambiguation page
- Yong Liang 0002 — University of New Brunswick, Canada
- Yong Liang 0003 — Tsinghua University, Beijing, China
- Yong Liang 0004 — Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Yong Liang 0005 — University of Bochum, Germany
- Yong Liang 0006 — Shandong Agricultural University, College of Information Science And Engineering, Taian, China
- Yong Liang 0007
![[0000-0002-7052-2248]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7052-2248")
— Tsinghua University, Department of Management Science and Engineering, Beijing, China (and 1 more)
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2020 – today
- 2025
[i4]Xin Dong, Rui Miao, Suyan Zhang, Shuaibing Jia, Leifeng Zhang, Yong Liang, Jianhua Zhang, Yi Zhun Zhu:
SMPR: A structure-enhanced multimodal drug-disease prediction model for drug repositioning and cold start. CoRR abs/2503.13322 (2025)- 2024
- [j63]Shoujiang Li, Hui Zhang, Yong Liang:
Controlled variable selection with nonconvex regularization for identifying biomarkers. Biomed. Signal Process. Control. 91: 105965 (2024) - [j62]Rui Miao, Siyuan Li, Daying Fan, Fangxin Luoye, Jing Zhang, Wenli Zheng, Minglan Zhu, Aiting Zhou, Xianlin Wang, Shan Yan, Yong Liang, Ren-Li Deng:
An Integrated Multi-omics prediction model for stroke recurrence based on Lnet transformer layer and dynamic weighting mechanism. Comput. Biol. Medicine 179: 108823 (2024) - [j61]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): 10398-10410 (2024) - [j60]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: 111502 (2024) - [j59]Jinfeng Wang, Zhishen Zheng, Yong Liang, Jing Qin, Wenzhong Wang:
FF-GLAM-cs: a fusion framework based on GLAM with channel shuffle for speech emotion recognition. Int. J. Mach. Learn. Cybern. 15(3): 929-940 (2024) - [j58]Dong Ouyang, Yong Liang, Jinfeng Wang, Le Li, Ning Ai, Junning Feng, Shanghui Lu, Shuilin Liao, Xiaoying Liu, Shengli Xie:
HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations. PLoS Comput. Biol. 20(4): 1011927 (2024) - [j57]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): 2428-2436 (2024) - [j56]Ning Ai, Haoliang Yuan, Yong Liang, Shanghui Lu, Dong Ouyang, Qi Hong Lai, Loi Lei Lai:
Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification. IEEE J. Biomed. Health Informatics 28(12): 7670-7682 (2024) - [j55]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): 8668-8682 (2024) - [j54]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): 2074-2086 (2024) - 2023
- [j53]Le Li, Yong Liang, Mingwen Shao, Shanghui Lu, Shuilin Liao, Dong Ouyang:
Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images. Comput. Biol. Medicine 153: 106482 (2023) - [j52]Jinfeng Wang, ShuaiHui Huang, Zhiwen Wang, Dong Huang, Jing Qin, Hui Wang, Wenzhong Wang, Yong Liang:
A calibrated SVM based on weighted smooth GL1/2 for Alzheimer's disease prediction. Comput. Biol. Medicine 158: 106752 (2023) - [j51]Dong Ouyang, Yong Liang, Le Li, Ning Ai, Shanghui Lu, Mingkun Yu, Xiaoying 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: 107303 (2023) - [j50]Junning Feng, Yong Liang, Tianwei Yu:
MM-GANN-DDI: Multimodal Graph-Agnostic Neural Networks for Predicting Drug-Drug Interaction Events. Comput. Biol. Medicine 166: 107492 (2023) - [j49]Hui Zhang, Shoujiang Li, Yong Liang, Hai Zhang, Mengmeng Du:
UAMPnet: Unrolled approximate message passing network for nonconvex regularization. Expert Syst. Appl. 213(Part): 119220 (2023) - [j48]Ning Ai, Ziyi Yang, Hao-Laing Yuan, Dong Ouyang, Rui Miao, Yu-Han Ji, Yong Liang:
A distributed sparse logistic regression with L1/2 regularization for microarray biomarker discovery in cancer classification. Soft Comput. 27(5): 2537-2552 (2023) - [j47]Qi Dang, Yong Liang, Dong Ouyang, Rui Miao, Caijin Ling, Xiaoying Liu, Shengli Xie:
Improved Computational Drug-Repositioning by Self-Paced Non-Negative Matrix Tri-Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1953-1962 (2023) - 2022
- [j46]Dong Ouyang, Yong Liang, Jianjun Wang, Xiaoying 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) - [j45]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. 23-S(10): 353 (2022) - [j44]Ning Ai, Yong Liang, Hao-Laing Yuan, Dong Ouyang, Xiao-Ying Liu, Shengli Xie, Yu-Han Ji:
MHDMF: Prediction of miRNA-disease associations based on Deep Matrix Factorization with Multi-source Graph Convolutional Network. Comput. Biol. Medicine 149: 106069 (2022) - [j43]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): 6283-6304 (2022) - [j42]Haoliang Yuan, Sio-Long Lo, Ming Yin, Yong Liang:
Erratum: Multi-view feature selection via sparse tensor regression. Int. J. Wavelets Multiresolution Inf. Process. 20(2): 2292001:1-2292001:2 (2022) - [j41]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): 2601-2618 (2022) - [j40]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): 2082-2095 (2022) - [j39]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): 1901-1912 (2022) - [c20]Jinfeng Wang, ShuaiHui Hang, Yong Liang, Jing Qin, Wenzhong Wang:
SSGL1/2: An Improved SVM with Smooth GroupL1/2 for Predicting AD. BIBM 2022: 2135-2142 - 2021
- [j38]Rui Miao, Xin Dong, Sheng-Li Xie, Yong Liang, Sio-Long Lo:
UMLF-COVID: an unsupervised meta-learning model specifically designed to identify X-ray images of COVID-19 patients. BMC Medical Imaging 21(1): 174 (2021) - [j37]Hai-Hui Huang, Xindong Peng, Yong Liang:
SPLSN: An efficient tool for survival analysis and biomarker selection. Int. J. Intell. Syst. 36(10): 5845-5865 (2021) - [j36]Haoliang Yuan, Sio-Long Lo, Ming Yin, Yong Liang:
Multi-view feature selection via sparse tensor regression. Int. J. Wavelets Multiresolution Inf. Process. 19(5): 2150020:1-2150020:17 (2021) - [j35]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): 6062-6076 (2021) - [j34]Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Shijun Zhang, Deyu Meng:
Structural residual learning for single image rain removal. Knowl. Based Syst. 213: 106595 (2021) - [j33]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): 1821-1830 (2021) - [c19]Zhenyu He, Yong Liang, Ling Huang, Wenzhong Wang, Jinfeng Wang:
Feature Gene Selection based on L1/2+2 Regularization. ICBBS 2021: 38-44 - [i3]Hong Wang, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng:
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. CoRR abs/2107.06808 (2021) - 2020
- [j32]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: 92677-92686 (2020) - [j31]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: 128509-128518 (2020) - [j30]Dongwei Chen, Rui Miao, Zhao-Yong Deng, Yue-Yue Lu, Yong Liang, Lan Huang:
Sparse Logistic Regression With L1/2 Penalty for Emotion Recognition in Electroencephalography Classification. Frontiers Neuroinformatics 14: 29 (2020) - [j29]Li Zheng, Lei Yang, Yong Liang:
A conjugate gradient projection method for solving equations with convex constraints. J. Comput. Appl. Math. 375: 112781 (2020) - [j28]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): 5245-5253 (2020) - [j27]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): 1329-1340 (2020) - [j26]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): 1061-1071 (2020) - [j25]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): 10278-10290 (2020) - [i2]Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng:
Structural Residual Learning for Single Image Rain Removal. CoRR abs/2005.09228 (2020) - [i1]Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu:
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction. CoRR abs/2009.00792 (2020)
2010 – 2019
- 2019
- [j24]Hui Zhang, Hai Zhang, Yong Liang, Ziyi Yang, Yanqiong Ren:
Approximate Message Passing Algorithm for Nonconvex Regularization. IEEE Access 7: 9080-9090 (2019) - [j23]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: 170513-170524 (2019) - [j22]Xiao Guo, Hai Zhang, Yao Wang, Yong Liang:
Structure learning of sparse directed acyclic graphs incorporating the scale-free property. Comput. Stat. 34(2): 713-742 (2019) - [j21]Hai-Hui Huang, Yong Liang:
An integrative analysis system of gene expression using self-paced learning and SCAD-Net. Expert Syst. Appl. 135: 102-112 (2019) - [j20]Liang-Yong Xia, Ziyi Yang, Hui Zhang, Yong Liang:
Improved Prediction of Drug-Target Interactions Using Self-Paced Learning with Collaborative Matrix Factorization. J. Chem. Inf. Model. 59(7): 3340-3351 (2019) - [j19]Dongwei Chen, Rui Miao, Wei-Qi Yang, Yong Liang, Hao-Heng Chen, Lan Huang, Chunjian Deng, Na Han:
A Feature Extraction Method Based on Differential Entropy and Linear Discriminant Analysis for Emotion Recognition. Sensors 19(7): 1631 (2019) - 2018
- [j18]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: 22863-22874 (2018) - [j17]Ziyi Yang, Yong Liang, Hui Zhang, Hua Chai, Bowen Zhang, Cheng Peng:
Robust Sparse Logistic Regression With the Lq (0 < q < 1) Regularization for Feature Selection Using Gene Expression Data. IEEE Access 6: 68586-68595 (2018) - [j16]Hong-kun Jiang, Yong Liang:
The L1/2 regularization network Cox model for analysis of genomic data. Comput. Biol. Medicine 100: 203-208 (2018) - [j15]Hai-Hui Huang, Yong Liang:
Hybrid L1/2 + 2 method for gene selection in the Cox proportional hazards model. Comput. Methods Programs Biomed. 164: 65-73 (2018) - [c18]Ziyi Yang, Yanqiong Ren, Hui Zhang, Yong Liang:
Microarray-Based Cancer Prediction Using Single-Gene Ensemble Classifier. IScIDE 2018: 589-600 - 2017
- [j14]Hai-Hui Huang, Xiao-Ying Liu, Hui-Min Li, Yong Liang:
Molecular pathway identification using a new L1/2 solver and biological network-constrained model. Int. J. Data Min. Bioinform. 17(3): 189-205 (2017) - 2016
- [c17]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: 1-8 - [c16]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: 1-6 - 2015
- [j13]Hua Chai, Yong Liang, Xiao-Ying Liu:
The L1/2 regularization approach for survival analysis in the accelerated failure time model. Comput. Biol. Medicine 64: 283-290 (2015) - 2014
- [j12]Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang:
The L1/2 regularization method for variable selection in the Cox model. Appl. Soft Comput. 14: 498-503 (2014) - [j11]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): 143-152 (2014) - 2013
- [j10]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: 198 (2013) - [c15]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: 198-205 - 2012
- [j9]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): 2582-2589 (2012) - [c14]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: 11-17 - [c13]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: 414-421 - 2011
- [j8]Yong Liang, Kwong-Sak Leung:
Genetic Algorithm with adaptive elitist-population strategies for multimodal function optimization. Appl. Soft Comput. 11(2): 2017-2034 (2011) - 2010
- [j7]Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang, Yong Liang:
L1/2 regularization. Sci. China Inf. Sci. 53(6): 1159-1169 (2010)
2000 – 2009
- 2008
- [j6]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): 140-149 (2008) - 2007
- [j5]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): 887-904 (2007) - [j4]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): 84-91 (2007) - [c12]Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok:
Fast Drug Scheduling Optimization Approach for Cancer Chemotherapy. International Conference on Computational Science (4) 2007: 1099-1107 - [c11]Yong Liang, Kwong-Sak Leung, Zongben Xu:
Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding. ISNN (2) 2007: 371-380 - 2006
- [j3]Yong Liang, Kwong-Sak Leung:
Evolution strategies with exclusion-based selection operators and a Fourier series auxiliary function. Appl. Math. Comput. 174(2): 1080-1109 (2006) - [j2]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): 237-245 (2006) - [c10]Yong Liang, Kwong-Sak Leung, Kin-Hong Lee:
A Novel Binary Variable Representation for Genetic and Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2006: 536-543 - [c9]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: 2475-2482 - [c8]Yong Liang, Kwong-Sak Leung, Kin-Hong Lee:
A splicing/decomposable encoding and its novel operators for genetic algorithms. GECCO 2006: 1225-1232 - [c7]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: 1705-1712 - 2005
- [c6]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: 699-706 - 2004
- [c5]Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok:
Evolutionary Drug Scheduling Model for Cancer Chemotherapy. GECCO (2) 2004: 1126-1137 - 2003
- [j1]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): 341-388 (2003) - [c4]Kwong-Sak Leung, Yong Liang:
Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function. GECCO 2003: 585-597 - [c3]Kwong-Sak Leung, Yong Liang:
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization. GECCO 2003: 1160-1171 - [c2]Kwong-Sak Leung, Yong Liang:
Evolution Strategies with a Fourier Series Auxiliary Function for Difficult Function Optimization. IDEAL 2003: 303-312 - 2002
- [c1]Yong Liang, Kwong-Sak Leung:
Two-way mutation evolution strategies. IEEE Congress on Evolutionary Computation 2002: 789-794
Coauthor Index
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