Yong Liang - RankMe

107 papers A 4B 4C 2Misc 2Journal 82Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CALNet: an align-then-integrate architecture for navigating the entanglement-bottleneck dilemma in DTI prediction. Expert Syst. Appl. Dingkui Kang, Yanan Zhou, Yong Liang, Hai-Hui Huang
2026	J	`jnl`	Incremental Learning Strategy With Multi-View Deep Learning for Disease-Related miRNAs/lncRNAs Identification. IEEE Trans. Emerg. Top. Comput. Intell. Ning Ai, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang
2026	J	`jnl`	Spherical Harmonics Representation Learning for High-Fidelity and Generalizable Super-Resolution in Diffusion MRI. IEEE Trans. Biomed. Eng. Ruoyou Wu, Jian Cheng, Cheng Li, Juan Zou, Wenxin Fan, Xinrui Ma, Hua Guo, Yong Liang, Shanshan Wang
2025	J	`jnl`	A Simplified Input Strategy for Predicting Multi-Type Associations in miRNA-LncRNA-Disease Network via Stacked Deep Matrix Factorization. IEEE Trans. Comput. Biol. Bioinform. Ning Ai, Haoliang Yuan, Zhonghua Lu, Yong Liang, Qi Hong Lai, Loi Lei Lai, Hongmin Cai, Dong Ouyang
2025	J	`jnl`	ADM: adaptive graph diffusion for meta-dimension reduction. Briefings Bioinform. Junning Feng, Yong Liang, Tianwei Yu
2025	J	`jnl`	BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis. CoRR Jiarun Liu, Hong-Yu Zhou, Weijian Huang, Hao Yang, Dongning Song, Tao Tan, Yong Liang, Shanshan Wang
2025	J	`jnl`	Feature Partitioning and Semantic Equalization for Intrinsic Robustness in Semantic Communication under Packet Loss. CoRR Xiao Yang, Shuai Ma, Yong Liang, Guangming Shi
2025	J	`jnl`	SMPR: A structure-enhanced multimodal drug-disease prediction model for drug repositioning and cold start. CoRR Xin Dong, Rui Miao, Suyan Zhang, Shuaibing Jia, Leifeng Zhang, Yong Liang, Jianhua Zhang, Yi Zhun Zhu
2025	J	`jnl`	SMPR: a structure-enhanced multimodal drug‒disease prediction model for drug repositioning and cold start. J. Cheminformatics Xin Dong, Rui Miao, Suyan Zhang, Shuaibing Jia, Leifeng Zhang, Yong Liang, Jianhua Zhang, Yi Zhun Zhu
2025	J	`jnl`	Swin-UMamba†: Adapting Mamba-Based Vision Foundation Models for Medical Image Segmentation. IEEE Trans. Medical Imaging Jiarun Liu, Hao Yang, Hong-Yu Zhou, Lequan Yu, Yong Liang, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024	J	`jnl`	An Integrated Multi-omics prediction model for stroke recurrence based on Lnet transformer layer and dynamic weighting mechanism. Comput. Biol. Medicine 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
2024	—	`conf`	CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-Assisted Implicit Neural Representation Learning. MLMI@MICCAI (1) Ruoyou Wu, Jian Cheng, Cheng Li, Juan Zou, Jing Yang, Wenxin Fan, Yong Liang, Shanshan Wang
2024	J	`jnl`	Contention With Collision Detection in Wireless Full-Duplex Networks. IEEE Internet Things J. Qinglin Zhao, Tong Jin, Fangxin Xu, Lian Zhao, Li Feng, Yong Liang
2024	J	`jnl`	Controlled variable selection with nonconvex regularization for identifying biomarkers. Biomed. Signal Process. Control. Shoujiang Li, Hui Zhang, Yong Liang
2024	—	`conf`	Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques. ISBI Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang
2024	J	`jnl`	Enhancing the medical foundation model with multi-scale and cross-modality feature learning. CoRR Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Shanshan Wang
2024	J	`jnl`	FF-GLAM-cs: a fusion framework based on GLAM with channel shuffle for speech emotion recognition. Int. J. Mach. Learn. Cybern. Jinfeng Wang, Zhishen Zheng, Yong Liang, Jing Qin, Wenzhong Wang
2024	J	`jnl`	HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations. PLoS Comput. Biol. Dong Ouyang, Yong Liang, Jinfeng Wang, Le Li, Ning Ai, Junning Feng, Shanghui Lu, Shuilin Liao, Xiaoying Liu, Shengli Xie
2024	J	`jnl`	MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning. CoRR Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Shanshan Wang
2024	J	`jnl`	MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification. IEEE J. Biomed. Health Informatics Hai-Hui Huang, Jun Shu, Yong Liang
2024	—	`conf`	Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning. ISBI Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang
2024	J	`jnl`	Model-based federated learning for accurate MR image reconstruction from undersampled k-space data. Comput. Biol. Medicine Ruoyou Wu, Cheng Li, Juan Zou, Yong Liang, Shanshan Wang
2024	J	`jnl`	Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification. IEEE J. Biomed. Health Informatics Ning Ai, Haoliang Yuan, Yong Liang, Shanghui Lu, Dong Ouyang, Qi Hong Lai, Loi Lei Lai
2024	—	`conf`	Multimodal Self-Supervised Learning for Lesion Localization. ISBI Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Guangming Shi, Hairong Zheng, Qiegen Liu, Shanshan Wang
2024	J	`jnl`	Multimodal self-supervised learning for lesion localization. CoRR Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang
2024	J	`jnl`	OR-EDI: A Per-Edge One-Round Data Integrity Verification Scheme for Mobile Edge Computing. IEEE Trans. Netw. Sci. Eng. Jian Li, Qinglin Zhao, Hanlei Cheng, Shaohua Teng, Naiqi Wu, Yong Liang
2024	J	`jnl`	PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis. Knowl. Based Syst. Le Li, Hudan Pan, Yong Liang, Mingwen Shao, Shengli Xie, Shanghui Lu, Shuilin Liao
2024	J	`jnl`	RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. IEEE Trans. Neural Networks Learn. Syst. Hong Wang, Qi Xie, Qian Zhao, Yuexiang Li, Yong Liang, Yefeng Zheng, Deyu Meng
2024	—	`conf`	Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. MICCAI (9) Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024	J	`jnl`	Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining. CoRR Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2023	J	`jnl`	A Theory for Semantic Communications. CoRR Shuai Ma, Youlong Wu, Huayan Qi, Hang Li, Guangming Shi, Yong Liang, Naofal Al-Dhahir
2023	J	`jnl`	A calibrated SVM based on weighted smooth GL1/2 for Alzheimer's disease prediction. Comput. Biol. Medicine Jinfeng Wang, Shuaihui Huang, Zhiwen Wang, Dong Huang, Jing Qin, Hui Wang, Wenzhong Wang, Yong Liang
2023	J	`jnl`	A distributed sparse logistic regression with L Soft Comput. Ning Ai, Ziyi Yang, Hao-Laing Yuan, Dong Ouyang, Rui Miao, Yu-Han Ji, Yong Liang
2023	J	`jnl`	Improved Computational Drug-Repositioning by Self-Paced Non-Negative Matrix Tri-Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. Qi Dang, Yong Liang, Dong Ouyang, Rui Miao, Caijin Ling, Xiaoying Liu, Shengli Xie
2023	J	`jnl`	Integration of multi-omics data using adaptive graph learning and attention mechanism for patient classification and biomarker identification. Comput. Biol. Medicine Dong Ouyang, Yong Liang, Le Li, Ning Ai, Shanghui Lu, Mingkun Yu, Xiaoying Liu, Shengli Xie
2023	J	`jnl`	MM-GANN-DDI: Multimodal Graph-Agnostic Neural Networks for Predicting Drug-Drug Interaction Events. Comput. Biol. Medicine Junning Feng, Yong Liang, Tianwei Yu
2023	J	`jnl`	Predicting potential microbe-disease associations based on auto-encoder and graph convolution network. BMC Bioinform. Shanghui Lu, Yong Liang, Le Li, Rui Miao, Shuilin Liao, Yongfu Zou, Chengjun Yang, Dong Ouyang
2023	J	`jnl`	Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images. Comput. Biol. Medicine Le Li, Yong Liang, Mingwen Shao, Shanghui Lu, Shuilin Liao, Dong Ouyang
2023	J	`jnl`	UAMPnet: Unrolled approximate message passing network for nonconvex regularization. Expert Syst. Appl. Hui Zhang, Shoujiang Li, Yong Liang, Hai Zhang, Mengmeng Du
2022	J	`jnl`	A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression. BMC Bioinform. Hai-Hui Huang, Hao Rao, Rui Miao, Yong Liang
2022	J	`jnl`	Backoff Entropy: Predicting Presaturation Peak for IEEE 802.11 DCF Networks. IEEE Trans. Veh. Technol. Qinglin Zhao, Li Feng, Lian Zhao, Kan Xie, Yong Liang
2022	J	`jnl`	Erratum: Multi-view feature selection via sparse tensor regression. Int. J. Wavelets Multiresolution Inf. Process. Haoliang Yuan, Sio-Long Lo, Ming Yin, Yong Liang
2022	J	`jnl`	MHDMF: Prediction of miRNA-disease associations based on Deep Matrix Factorization with Multi-source Graph Convolutional Network. Comput. Biol. Medicine Ning Ai, Yong Liang, Hao-Laing Yuan, Dong Ouyang, Xiao-Ying Liu, Shengli Xie, Yu-Han Ji
2022	J	`jnl`	Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization. Briefings Bioinform. Dong Ouyang, Yong Liang, Jianjun Wang, Xiaoying Liu, Shengli Xie, Rui Miao, Ning Ai, Le Li, Qi Dang
2022	J	`jnl`	SLNL: A novel method for gene selection and phenotype classification. Int. J. Intell. Syst. Hai-Hui Huang, Naiqi Wu, Yong Liang, Xindong Peng, Jun Shu
2022	J	`jnl`	SMSPL: Robust Multimodal Approach to Integrative Analysis of Multiomics Data. IEEE Trans. Cybern. Ziyi Yang, Naiqi Wu, Yong Liang, Hui Zhang, Yanqiong Ren
2022	—	`conf`	SSGL1/2: An Improved SVM with Smooth GroupL1/2 for Predicting AD. BIBM Jinfeng Wang, ShuaiHui Hang, Yong Liang, Jing Qin, Wenzhong Wang
2022	J	`jnl`	Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies. Medical Biol. Eng. Comput. Rui Miao, Qi Dang, Jie Cai, Hai-Hui Huang, Sheng-Li Xie, Yong Liang
2021	J	`jnl`	A Novel Cox Proportional Hazards Model for High-Dimensional Genomic Data in Cancer Prognosis. IEEE ACM Trans. Comput. Biol. Bioinform. Hai-Hui Huang, Yong Liang
2021	J	`jnl`	ERFR-CTC: Exploiting Residual Frequency Resources in Physical-Level Cross-Technology Communication. IEEE Internet Things J. Shumin Yao, Li Feng, Qinglin Zhao, Qiyu Yang, Yong Liang
2021	—	`conf`	Feature Gene Selection based on L1/2+2 Regularization. ICBBS Zhenyu He, Yong Liang, Ling Huang, Wenzhong Wang, Jinfeng Wang
2021	J	`jnl`	Multi-view feature selection via sparse tensor regression. Int. J. Wavelets Multiresolution Inf. Process. Haoliang Yuan, Sio-Long Lo, Ming Yin, Yong Liang
2021	J	`jnl`	RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. CoRR Hong Wang, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng
2021	J	`jnl`	SPLSN: An efficient tool for survival analysis and biomarker selection. Int. J. Intell. Syst. Hai-Hui Huang, Xindong Peng, Yong Liang
2021	J	`jnl`	Structural residual learning for single image rain removal. Knowl. Based Syst. Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Shijun Zhang, Deyu Meng
2021	J	`jnl`	UMLF-COVID: an unsupervised meta-learning model specifically designed to identify X-ray images of COVID-19 patients. BMC Medical Imaging Rui Miao, Xin Dong, Sheng-Li Xie, Yong Liang, Sio-Long Lo
2020	J	`jnl`	A Genotype-Based Ensemble Classifier System for Non-Small-Cell Lung Cancer. IEEE Access Yanqiong Ren, Ziyi Yang, Hui Zhang, Yong Liang, Hai-Hui Huang, Hua Chai
2020	J	`jnl`	A Modified Spectral Gradient Projection Method for Solving Non-Linear Monotone Equations With Convex Constraints and Its Application. IEEE Access Li Zheng, Lei Yang, Yong Liang
2020	J	`jnl`	A conjugate gradient projection method for solving equations with convex constraints. J. Comput. Appl. Math. Li Zheng, Lei Yang, Yong Liang
2020	J	`jnl`	A greedy screening test strategy to accelerate solving LASSO problems with small regularization parameters. Soft Comput. Hai-Wei Shen, Hua Chai, Liang-Yong Xia, Sheng-Bing Wu, Wei Qu, Yong Liang, Xiang-Tao Liu
2020	J	`jnl`	Modeling the Impact of the MoreData Parameter for Wireless Power-Saving Protocols. IEEE Trans. Green Commun. Netw. Li Feng, Qinglin Zhao, Zhiguo Shi, Zhenni Li, Yong Liang
2020	J	`jnl`	Novel Regularization Method for Biomarker Selection and Cancer Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Xiao-Ying Liu, Sai Wang, Hai Zhang, Hui Zhang, Ziyi Yang, Yong Liang
2020	J	`jnl`	SatOpt Partition: Dividing Throughput-Stability Region for IEEE 802.11 DCF Networks. IEEE Trans. Veh. Technol. Qinglin Zhao, Li Feng, Lian Zhao, Zhenni Li, Yong Liang
2020	J	`jnl`	Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction. CoRR Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu
2020	J	`jnl`	Sparse Logistic Regression With L Frontiers Neuroinformatics Dongwei Chen, Rui Miao, Zhao-Yong Deng, Yue-Yue Lu, Yong Liang, Lan Huang
2020	J	`jnl`	Structural Residual Learning for Single Image Rain Removal. CoRR Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng
2019	J	`jnl`	A Feature Extraction Method Based on Differential Entropy and Linear Discriminant Analysis for Emotion Recognition. Sensors Dongwei Chen, Rui Miao, Wei-Qi Yang, Yong Liang, Hao-Heng Chen, Lan Huang, Chunjian Deng, Na Han
2019	J	`jnl`	An integrative analysis system of gene expression using self-paced learning and SCAD-Net. Expert Syst. Appl. Hai-Hui Huang, Yong Liang
2019	J	`jnl`	Approximate Message Passing Algorithm for Nonconvex Regularization. IEEE Access Hui Zhang, Hai Zhang, Yong Liang, Ziyi Yang, Yanqiong Ren
2019	J	`jnl`	Improved Prediction of Drug-Target Interactions Using Self-Paced Learning with Collaborative Matrix Factorization. J. Chem. Inf. Model. Liang-Yong Xia, Ziyi Yang, Hui Zhang, Yong Liang
2019	J	`jnl`	MSPL: Multimodal Self-Paced Learning for Multi-Omics Feature Selection and Data Integration. IEEE Access Ziyi Yang, Liang-Yong Xia, Hui Zhang, Yong Liang
2019	J	`jnl`	Structure learning of sparse directed acyclic graphs incorporating the scale-free property. Comput. Stat. Xiao Guo, Hai Zhang, Yao Wang, Yong Liang
2018	J	`jnl`	A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection. IEEE Access Xiao-Ying Liu, Yong Liang, Sai Wang, Ziyi Yang, Han-Shuo Ye
2018	J	`jnl`	Hybrid L Comput. Methods Programs Biomed. Hai-Hui Huang, Yong Liang
2018	—	`conf`	Microarray-Based Cancer Prediction Using Single-Gene Ensemble Classifier. IScIDE Ziyi Yang, Yanqiong Ren, Hui Zhang, Yong Liang
2018	J	`jnl`	Robust Sparse Logistic Regression With the L IEEE Access Ziyi Yang, Yong Liang, Hui Zhang, Hua Chai, Bowen Zhang, Cheng Peng
2018	J	`jnl`	The Comput. Biol. Medicine Hong-kun Jiang, Yong Liang
2017	J	`jnl`	Molecular pathway identification using a new L Int. J. Data Min. Bioinform. Hai-Hui Huang, Xiao-Ying Liu, Hui-Min Li, Yong Liang
2016	Misc	`conf`	Image Super-Resolution Reconstruction via L1/2 and S1/2 Regularizations. DICTA Liang-Yong Xia, Xu-Xin Lin, Yong Liang, Hong-kun Jiang, Hua Chai, Hai-Hui Huang
2016	—	`conf`	Low-rank and sparse matrix decomposition based on S1/2 and L1/2 regularizations in dynamic MRI. IPTA Xu-Xin Lin, Liang-Yong Xia, Yong Liang, Hai-Hui Huang, Hua Chai, Kuok-Fan Chan
2015	J	`jnl`	The L Comput. Biol. Medicine Hua Chai, Yong Liang, Xiao-Ying Liu
2014	J	`jnl`	A novel L1/2 regularization shooting method for Cox's proportional hazards model. Soft Comput. Xin-Ze Luan, Yong Liang, Cheng Liu, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
2014	J	`jnl`	The L Appl. Soft Comput. Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
2013	C	`conf`	Genetic algorithm for dimer-led and error-restricted spaced motif discovery. CIBCB Tak-Ming Chan, Leung-Yau Lo, Man-Leung Wong, Yong Liang, Kwong-Sak Leung
2013	J	`jnl`	Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification. BMC Bioinform. Yong Liang, Cheng Liu, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
2012	—	`conf`	Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model. ICSI (2) Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
2012	—	`conf`	Regularization Path for Linear Model via Net Method. ICSI (2) Xin-Ze Luan, Yong Liang, Cheng Liu, Zongben Xu, Hai Zhang, Kwong-Sak Leung, Tak-Ming Chan
2012	J	`jnl`	The essential ability of sparse reconstruction of different compressive sensing strategies. Sci. China Inf. Sci. Hai Zhang, Yong Liang, HaiLiang Gou, Zongben Xu
2011	J	`jnl`	Genetic Algorithm with adaptive elitist-population strategies for multimodal function optimization. Appl. Soft Comput. Yong Liang, Kwong-Sak Leung
2008	J	`jnl`	Evolutionary drug scheduling models with different toxicity metabolism in cancer chemotherapy. Appl. Soft Comput. Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
2007	J	`jnl`	A Memetic Algorithm for Multiple-Drug Cancer Chemotherapy Schedule Optimization. IEEE Trans. Syst. Man Cybern. Part B Sui-Man Tse, Yong Liang, Kwong-Sak Leung, Kin-Hong Lee, Tony Shu Kam Mok
2007	J	`jnl`	A novel splicing/decomposable binary encoding and its operators for genetic and evolutionary algorithms. Appl. Math. Comput. Yong Liang, Kwong-Sak Leung, Zongben Xu
2007	Misc	`conf`	Fast Drug Scheduling Optimization Approach for Cancer Chemotherapy. International Conference on Computational Science (4) Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
2007	—	`conf`	Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding. ISNN (2) Yong Liang, Kwong-Sak Leung, Zongben Xu
2006	B	`conf`	A Novel Binary Variable Representation for Genetic and Evolutionary Algorithms. IEEE Congress on Evolutionary Computation Yong Liang, Kwong-Sak Leung, Kin-Hong Lee
2006	J	`jnl`	A Novel Evolutionary Drug Scheduling Model in Cancer Chemotherapy. IEEE Trans. Inf. Technol. Biomed. Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
2006	A	`conf`	A splicing/decomposable encoding and its novel operators for genetic algorithms. GECCO Yong Liang, Kwong-Sak Leung, Kin-Hong Lee
2006	A	`conf`	Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation. GECCO Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
2006	J	`jnl`	Evolution strategies with exclusion-based selection operators and a Fourier series auxiliary function. Appl. Math. Comput. Yong Liang, Kwong-Sak Leung
2006	B	`conf`	Optimal Control of a Cancer Chemotherapy Problem with Different Toxic Elimination Processes. IEEE Congress on Evolutionary Computation Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
2005	B	`conf`	Multi-drug cancer chemotherapy scheduling by a new memetic optimization algorithm. Congress on Evolutionary Computation Sui-Man Tse, Yong Liang, Kwong-Sak Leung, Kin-Hong Lee, Tony Shu Kam Mok
2004	—	`conf`	Evolutionary Drug Scheduling Model for Cancer Chemotherapy. GECCO (2) Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
2003	A	`conf`	Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization. GECCO Kwong-Sak Leung, Yong Liang
2003	J	`jnl`	Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs. Appl. Math. Comput. Zongben Xu, Kwong-Sak Leung, Yong Liang, Yee Leung
2003	A	`conf`	Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function. GECCO Kwong-Sak Leung, Yong Liang
2003	C	`conf`	Evolution Strategies with a Fourier Series Auxiliary Function for Difficult Function Optimization. IDEAL Kwong-Sak Leung, Yong Liang
2002	B	`conf`	Two-way mutation evolution strategies. IEEE Congress on Evolutionary Computation Yong Liang, Kwong-Sak Leung