A rate-based congestion control scheme for ABR service in ATM networks. - Anna Hac; Yingjun Ma (Int. J. Netw. Manag., 1998)

Solving the fuel transportation problem based on the improved genetic algorithm. - Yingjun Ma; Xueyuan Cui (ICNC, 2014)

Comparing programming model with genetic algorithm model to the aircrew problem. - Yingjun Ma; Xiaona Sun; Chu Chen; Dongfang Zhao 004 (ICNC, 2014)

The segmentation of glandular cavity based on K-means and mathematical morphology. - Yingjun Ma; Muhammad Umair Hassan; Dongmei Niu; Liping Wang (ICSAI, 2017)

An Unsupervised Approach for 3D Medical Image Registration. - Yingjun Ma; Jinshuo Zhang; Dongmei Niu; Muhammad Umair Hassan; Xiuyang Zhao (ICIT, 2019)

Salient Object Detection based on CNN Fusion of Two Types of Saliency Models. - Muhammad Umair Hassan; Dongmei Niu; Xiuyang Zhao; Md Shakil Ahamed Shohag; Yingjun Ma; Mingxuan Zhang (IVCNZ, 2019)

Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion. - Dan Liu; Yingjun Ma; Xingpeng Jiang; Tingting He 003 (BMC Bioinform., 2019)

3D Medical Image Registration Based on Spatial Attention. - Shanshan Li; Yingjun Ma; Hongyan Wang (ICVIP, 2020)

MHSNMF: multi-view hessian regularization based symmetric nonnegative matrix factorization for microbiome data analysis. - Yuanyuan Ma; Junmin Zhao; Yingjun Ma (BMC Bioinform., 2020)

Performance improvement for a 2D convolutional neural network by using SSC encoding on protein-protein interaction tasks. - Yang Wang; Zhanchao Li; Yanfei Zhang; Yingjun Ma; Qixing Huang; Xingyu Chen; Zong Dai; Xiaoyong Zou (BMC Bioinform., 2021)

Unsupervised deformable image registration network for 3D medical images. - Yingjun Ma; Dongmei Niu; Jinshuo Zhang; Xiuyang Zhao; Bo Yang 001; Caiming Zhang 001 (Appl. Intell., 2022)

Hypergraph-based logistic matrix factorization for metabolite-disease interaction prediction. - Yingjun Ma; Yuanyuan Ma (Bioinform., 2022)

Generalized matrix factorization based on weighted hypergraph learning for microbe-drug association prediction. - Yingjun Ma; Qingquan Liu (Comput. Biol. Medicine, 2022)

Small Infrared Target Detection Based on Fast Adaptive Masking and Scaling With Iterative Segmentation. - Yaohong Chen; Gaopeng Zhang; Yingjun Ma; Jin U. Kang; Chiman Kwan (IEEE Geosci. Remote. Sens. Lett., 2022)

Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction. - Yingjun Ma; Tingting He 003; Yuting Tan 001; Xingpeng Jiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

DeepMNE: Deep Multi-Network Embedding for lncRNA-Disease Association Prediction. - Yingjun Ma (IEEE J. Biomed. Health Informatics, 2022)

DeepMNE: Deep multi-network embedding for lncRNA-disease association prediction. - Yingjun Ma (IEEE DataPort, 2022)

Logistic tensor decomposition with sparse subspace learning for prediction of multiple disease types of human-virus protein-protein interactions. - Yingjun Ma; Junjiang Zhong (Briefings Bioinform., 2023)

Part-and-whole: A novel framework for deformable medical image registration. - Jinshuo Zhang; Zhaoyang Liu; Yingjun Ma; Xiuyang Zhao; Bo Yang 001 (Appl. Intell., 2023)

Kernel Bayesian logistic tensor decomposition with automatic rank determination for predicting multiple types of miRNA-disease associations. - Yingjun Ma; Yuanyuan Ma (PLoS Comput. Biol., 2024)