A Novel Off-Line Signature Verification Based on Adaptive Multi-resolution Wavelet Zero-Crossing and One-Class-One-Network. - Zhiqiang Ma 003; Xiaoyun Zeng; Lei Zhang; Meng Li; Chunguang Zhou (ISNN (3), 2007)

Iris Verification Using Wavelet Moments and Neural Network. - Zhiqiang Ma 003; Miao Qi; Haifeng Kang; Shuhua Wang; Jun Kong 004 (LSMS (2), 2007)

Application of Improved K-mean Clustering in Predicting Protein-Protein Interactions. - Pingping Sun; Yanan Ma; Yazhuo Wei; Zhiqiang Ma 003; Linying Lu; Ying Cui; Ping Huang (BMEI (1), 2008)

Content-Based Biometric Image Hiding Approach. - Miao Qi; Jun Kong 004; Yinghua Lu; Ning Du; Zhiqiang Ma 003 (Int. J. Pattern Recognit. Artif. Intell., 2011)

A structure-preserved local matching approach for face recognition. - Jianzhong Wang; Zhiqiang Ma 003; Baoxue Zhang; Miao Qi; Jun Kong 004 (Pattern Recognit. Lett., 2011)

Predicting binding affinity using differential evolution. - Chunyu Cong; Pingping Sun; Zhiqiang Ma 003 (BMEI, 2012)

Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction. - Pingping Sun; Haixu Ju; Zhenbang Liu; Qiao Ning; Jian Zhang 020; Xiaowei Zhao 004; Yanxin Huang; Zhiqiang Ma 003; Yuxin Li 001 (Comput. Math. Methods Medicine, 2013)

Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window scheme. - Jian Zhang 020; Wenhan Chen; Pingping Sun; Xiaowei Zhao 004; Zhiqiang Ma 003 (BioData Min., 2015)

Modelling Coupled Oscillations in the Notch, Wnt, and FGF Signaling Pathways during Somitogenesis: A Comprehensive Mathematical Model. - Hong-yan Wang; Yanxin Huang; Li-hua Zheng; Yongli Bao; Lu-guo Sun; Yin Wu; Chun-lei Yu; Zhen-bo Song; Ying Sun; Guan-nan Wang; Zhiqiang Ma 003; Yu-xin Li 001 (Comput. Intell. Neurosci., 2015)

Identification of DNA-binding proteins using multi-features fusion and binary firefly optimization algorithm. - Jian Zhang 020; Bo Gao; Haiting Chai; Zhiqiang Ma 003; Guifu Yang (BMC Bioinform., 2016)

Prediction of bioluminescent proteins by using sequence-derived features and lineage-specific scheme. - Jian Zhang 020; Haiting Chai; Guifu Yang; Zhiqiang Ma 003 (BMC Bioinform., 2017)

Deep learning architecture for iris recognition based on optimal Gabor filters and deep belief network. - Fei He 003; Ye Han; Han Wang 028; Jinchao Ji; Yuanning Liu; Zhiqiang Ma 003 (J. Electronic Imaging, 2017)

Detecting Succinylation sites from protein sequences using ensemble support vector machine. - Qiao Ning; Xiaosa Zhao; Lingling Bao; Zhiqiang Ma 003; Xiaowei Zhao 004 (BMC Bioinform., 2018)

HEMEsPred: Structure-Based Ligand-Specific Heme Binding Residues Prediction by Using Fast-Adaptive Ensemble Learning Scheme. - Jian Zhang 020; Haiting Chai; Bo Gao; Guifu Yang; Zhiqiang Ma 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains. - Jian Zhang 020; Zhiqiang Ma 003; Lukasz A. Kurgan (Briefings Bioinform., 2019)

Analysis and prediction of human acetylation using a cascade classifier based on support vector machine. - Qiao Ning; Miao Yu; Jinchao Ji; Zhiqiang Ma 003; Xiaowei Zhao 004 (BMC Bioinform., 2019)

SeqTMPPI: Sequence-Based Transmembrane Protein Interaction Prediction. - Han Wang 028; Jiuhong Jiang; Qiufen Chen; Chunhua Zhang; Chang Lu; Zhiqiang Ma 003 (BIBM, 2020)

TM-ZC: A Deep Learning-Based Predictor for the Z-Coordinate of Residues in α-Helical Transmembrane Proteins. - Chang Lu; Yingli Gong; Zhe Liu 030; Yuanzhao Guo; Zhiqiang Ma 003; Han Wang 028 (IEEE Access, 2020)

Corrigendum to: Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains. - Jian Zhang 020; Zhiqiang Ma 003; Lukasz A. Kurgan (Briefings Bioinform., 2020)

Nature-inspired multiobjective patient stratification from cancer gene expression data. - Yunhe Wang 002; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Inf. Sci., 2020)

Cancer molecular subtype classification from hypervolume-based discrete evolutionary optimization. - Yunhe Wang 002; Shaochuan Li; Lei Wang; Zhiqiang Ma 003; Xiangtao Li (Neural Comput. Appl., 2020)

A Novel Approach for LncRNA Function Prediction Based on Deep Learning. - Xian Tan; Minghang Zou; Di Wu; Jingbo Zhang; Pingping Sun; Zhiqiang Ma 003 (BIBM, 2021)

iCircRBP-DHN: identification of circRNA-RBP interaction sites using deep hierarchical network. - Yuning Yang; Zilong Hou; Zhiqiang Ma 003; Xiangtao Li; Ka-Chun Wong (Briefings Bioinform., 2021)

Identification of haploinsufficient genes from epigenomic data using deep forest. - Yuning Yang; Shaochuan Li; Yunhe Wang 002; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Briefings Bioinform., 2021)

Evolving Multiobjective Cancer Subtype Diagnosis From Cancer Gene Expression Data. - Yunhe Wang 002; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

DSHP: A Novel Sequence Based Deep Learning Prediction Model for HPV Integration Site. - Xian Tan; Yiping Sun; Shijie Fan; Yanhe Wang; Jingbo Zhang; Pingping Sun; Zhiqiang Ma 003 (BIBM, 2022)

HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network. - Yuning Yang; Zilong Hou; Yansong Wang; Hongli Ma; Pingping Sun; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Briefings Bioinform., 2022)

GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering. - Yifu Lu; Zhuohan Yu; Yunhe Wang 006; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Bioinform., 2022)

EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network. - Yawei Wang; Yuning Yang; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Bioinform., 2022)

SSKM_Succ: A Novel Succinylation Sites Prediction Method Incorporating K-Means Clustering With a New Semi-Supervised Learning Algorithm. - Qiao Ning; Zhiqiang Ma 003; Xiaowei Zhao 004; Minghao Yin (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Novel Method for Identification of Glutarylation Sites Combining Borderline-SMOTE With Tomek Links Technique in Imbalanced Data. - Qiao Ning; Xiaowei Zhao 004; Zhiqiang Ma 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

An Improved Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network. - Yuning Yang; Jiawen Yu; Zhe Liu 030; Xi Wang; Han Wang 028; Zhiqiang Ma 003; Dong Xu 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Evolving pathway activation from cancer gene expression data using nature-inspired ensemble optimization. - Xubin Wang; Yunhe Wang 002; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Expert Syst. Appl., 2024)

Exhaustive Exploitation of Nature-Inspired Computation for Cancer Screening in an Ensemble Manner. - Xubin Wang; Yunhe Wang 002; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)