DrugDL: dual-modal deep learning framework for multi-property drug prediction and targeted therapy discovery.

Dongjun Yu Dong-Jun Yu https://orcid.org/0000-0002-6786-8053 https://www.wikidata.org/entity/Q87589019

Qi Zhang Xuan Yu Yuxiao Wei Yunpeng Xia Long-Chen Shen Zhi-Hui Wang Hong-Bin Shen Dong-Jun Yu DrugDL: dual-modal deep learning framework for multi-property drug prediction and targeted therapy discovery. 2026 42 Bioinform. 7 https://doi.org/10.1093/bioinformatics/btag392 db/journals/bioinformatics/bioinformatics42.html#ZhangYWXSWSY26 streams/journals/bioinformatics

Md Emran Hasan Yue-Fang Wu Dong-Jun Yu AeroCOPDNet: A deep learning framework for COPD detection from lung sounds. 2026 109939 119 Biomed. Signal Process. Control. https://doi.org/10.1016/j.bspc.2026.109939 db/journals/bspc/bspc119.html#HasanWY26 streams/journals/bspc

Kamran Arshad Muhammad Arif 0012 Dong-Jun Yu DeepDBPI: DNA-Binding Protein Identifier Using a Deep Learning Model with Transformed Denoised Features. 2026 1920-1932 66 J. Chem. Inf. Model. 3 https://doi.org/10.1021/acs.jcim.5c02637 db/journals/jcisd/jcisd66.html#ArshadAY26 streams/journals/jcisd

Xiyun Yang Wei Zhang 0221 Chenxi Luo Zhaohong Deng Dongxing Gu Dongjun Yu Shudong Hu Yanqi Zhong SGLEPocket: A Spatial Gating and Local Feature Enhancement Network for Protein-Ligand Binding Pocket Prediction. 2026 3621-3642 66 J. Chem. Inf. Model. 7 https://doi.org/10.1021/acs.jcim.5c03009 db/journals/jcisd/jcisd66.html#YangZLDGYHZ26 streams/journals/jcisd

Peixuan Li Weifu Wang Dong-Jun Yu Leveraging Residual Graph Convolutional Networks with Cross-Attention Mechanisms for High-Accuracy Protein Function Prediction. 2026 4310-4321 66 J. Chem. Inf. Model. 7 https://doi.org/10.1021/acs.jcim.6c00101 db/journals/jcisd/jcisd66.html#LiWY26 streams/journals/jcisd

Hanwen Zhou Wei Zhang 0221 Zhaohong Deng Guanjin Wang Zhisheng Wei Lei Wang Xiaoyong Pan Hong-Bin Shen Dong-Jun Yu Jing Wu 0030 SMENET: A Multi-View Semantic Model for Multi-Level Enzyme Function Prediction. 2026 January - February 374-385 23 IEEE Trans. Comput. Biol. Bioinform. 1 https://doi.org/10.1109/TCBBIO.2025.3644035 db/journals/tcbb/tcbb23.html#ZhouZDWWWPSYW26 streams/journals/tcbb

Yang Zhou Wen Chen Fang Ge Dong-Jun Yu Gated Bottleneck Convolution with High-Similarity-Pass Attention Enables Accurate Drosha and Dicer Cleavage Site Prediction. ISBRA (2) 2026 377-388 conf/isbra/2026-2 https://doi.org/10.1007/978-981-92-3719-7_31 db/conf/isbra/isbra2026-2.html#ZhouCGY26 streams/conf/isbra

Yuhan Wang Zhikang Wang Xuan Yu Xiaoyu Wang 0016 Jiangning Song Dong-Jun Yu Fang Ge MORE: a multi-omics data-driven hypergraph integration network for biomedical data classification and biomarker identification. 2025 January 26 Briefings Bioinform. 1 https://doi.org/10.1093/bib/bbae658 db/journals/bib/bib26.html#WangWYWSYG24 streams/journals/bib

Yi-Heng Zhu Shuxin Zhu Xuan Yu He Yan Yan Liu Xiaojun Xie Dong-Jun Yu Rui Ye MKFGO: integrating multi-source knowledge fusion with pretrained language model for high-accuracy protein function prediction. 2025 26 Briefings Bioinform. Supplement_1 https://doi.org/10.1093/bib/bbaf420 db/journals/bib/bib26.html#ZhuZYYLXYY25 streams/journals/bib

Wei Zhang 0221 Ziqi Zhang Hailong Yang 0001 Te Zhang Shu Jiang Ning Qiao Zhaohong Deng Xiaoyong Pan Hong-Bin Shen Dong-Jun Yu Shitong Wang 0001 m2ST: dual multi-scale graph clustering for spatially resolved transcriptomics. 2025 41 Bioinform. 5 https://doi.org/10.1093/bioinformatics/btaf221 db/journals/bioinformatics/bioinformatics41.html#0221Z0ZJQDPSY025

Yan Liu 0038 Chen Li 0021 Long-Chen Shen He Yan Guo Wei Robin B. Gasser Xiaohua Hu 0001 Jiangning Song Dong-Jun Yu scRCA: A Siamese network-based pipeline for annotating cell types using noisy single-cell RNA-seq reference data. 110068 2025 190 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2025.110068 db/journals/cbm/cbm190.html#LiuLSYWGHSY25 streams/journals/cbm

Abdulkawi Yahya Radman Al-Shamiri Dong-Jun Yu Peipei Li 0001 Balqis Yahya Ali Abdullah Al-Mahweeti Use of data Mining in Identifying the risk factors of optic neuropathy. 1181-1196 2025 68 Comput. J. 9 https://doi.org/10.1093/comjnl/bxaf030 db/journals/cj/cj68.html#AlShamiriYLA25 streams/journals/cj

Long-Chen Shen Yan Liu 0038 Zi Liu Yumeng Zhang Zhikang Wang Yuming Guo 0001 Jamie Rossjohn Jiangning Song Dong-Jun Yu Supervised contrastive learning enhances MHC-II peptide binding affinity prediction. 126463 2025 269 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2025.126463 db/journals/eswa/eswa269.html#ShenLLZWGRSY25 streams/journals/eswa

Jiashun Wu Yan Liu 0038 Ying Zhang 0053 Xiaoyu Wang 0016 He Yan Yiheng Zhu 0001 Jiangning Song Dong-Jun Yu Identifying Protein-Nucleotide Binding Residues via Grouped Multi-task Learning and Pre-trained Protein Language Models. 1040-1052 2025 65 J. Chem. Inf. Model. 2 https://doi.org/10.1021/acs.jcim.4c02092 db/journals/jcisd/jcisd65.html#WuLZWYZSY25 streams/journals/jcisd

Letao Gao Yumeng Zhang Fang Ge Shanshan Li 0008 Yuming Guo 0001 Jiangning Song Dong-Jun Yu Structure-Directed Pan-Specific T-Cell Receptor-Peptide-Major Histocompatibility Complex Interaction Prediction. 4674-4686 2025 65 J. Chem. Inf. Model. 9 https://doi.org/10.1021/acs.jcim.5c00055 db/journals/jcisd/jcisd65.html#GaoZGLGSY25 streams/journals/jcisd

Cui-Feng Li Zihao Yan Fang Ge Xuan Yu Jing Zhang Ming Zhang 0033 Dong-Jun Yu TransABseq: A Two-Stage Approach for Predicting Antigen-Antibody Binding Affinity Changes upon Mutation Based on Protein Sequences. 5188-5204 2025 65 J. Chem. Inf. Model. 10 https://doi.org/10.1021/acs.jcim.5c00478 db/journals/jcisd/jcisd65.html#LiYGYZZY25 streams/journals/jcisd

Youwei Sun Zhifei Wang Ying Zhang 0053 Jiangning Song Dong-Jun Yu Dual-Branch Contrastive Network with Deep Separable Convolution for Enhanced 6mA Site Identification. 7325-7335 2025 65 J. Chem. Inf. Model. 13 https://doi.org/10.1021/acs.jcim.5c01058 db/journals/jcisd/jcisd65.html#SunWZSY25 streams/journals/jcisd

Zihao Yan Fang Ge Ying Zhang 0053 He Yan Yan Liu Yi-Heng Zhu Jiangning Song Dong-Jun Yu MutPNI: A Unified Model Architecture for Accurately Predicting the Effects of Mutations on Protein-Nucleic Acid Interactions. 8335-8344 2025 65 J. Chem. Inf. Model. 15 https://doi.org/10.1021/acs.jcim.5c00756 db/journals/jcisd/jcisd65.html#YanGZYLZSY25 streams/journals/jcisd

Cheng Cai Zhaohong Deng Andong Li Yun Zuo 0001 Haoran Chen 0003 Zhisheng Wei Lei Wang Xiaoyong Pan Hong-Bin Shen Dong-Jun Yu CATransUnetLBP: Accurate Prediction of Protein-Ligand Binding Pockets Using a Hybrid Network. 355-367 2025 22 IEEE Trans. Comput. Biol. Bioinform. 1 https://doi.org/10.1109/tcbbio.2024.3521466 db/journals/tcbb/tcbb22.html#CaiDLZCWWPSY25 streams/journals/tcbb

Yan Liu 0038 Guo Wei Jia-Shun Wu Chen Li 0021 He Yan Long-Chen Shen Robin B. Gasser Jiangning Song Dijun Chen Dong-Jun Yu MUSIC-GCN: A Novel Multi-Tasking Pipeline for Analyzing Single-Cell Transcriptomic Data Using Residual Graph Convolution Network. 781-789 2025 22 IEEE Trans. Comput. Biol. Bioinform. 2 https://doi.org/10.1109/tcbbio.2025.3534776 db/journals/tcbb/tcbb22.html#LiuWWLYSGSCY25 streams/journals/tcbb

Shenjian Gu Matee Ullah Jiangning Song Dong-Jun Yu PScL-SDNNMAE: Protein Subcellular Localization Prediction Using Classical and Masked Autoencoder-Based Multi-View Features With Ensemble Feature Selection. 1606-1614 2025 22 IEEE Trans. Comput. Biol. Bioinform. 4 https://doi.org/10.1109/tcbbio.2025.3562809 db/journals/tcbb/tcbb22.html#GuUSY25 streams/journals/tcbb

Liangwen He Zhaohong Deng Fuping Hu Zhongyu Wang Yun Zuo 0001 Lin Zhu Haoran Chen 0003 Xiaoyong Pan Zhisheng Wei Lei Wang Hong-Bin Shen Dong-Jun Yu Jing Wu 0030 DMMAFS: Protein Function Prediction Based on Multi-Modal Multi-Attention Fusion Features. 2562-2574 2025 22 IEEE Trans. Comput. Biol. Bioinform. 6 https://doi.org/10.1109/tcbbio.2025.3594648 db/journals/tcbb/tcbb22.html#HeDHWZZCPWWSYW25 streams/journals/tcbb

Ying Zhang 0053 Hong-Jin Yu Zihao Yan Tong Pan Yiwen Zhang Yan Liu 0038 Shanshan Li 0008 Yuming Guo 0001 Jiangning Song Dong-Jun Yu Integrating Graph Convolutional Networks for Missing Gene Expression Imputation. 2955-2963 2025 22 IEEE Trans. Comput. Biol. Bioinform. 6 https://doi.org/10.1109/tcbbio.2025.3605719 db/journals/tcbb/tcbb22.html#ZhangYYPZLLGSY25 streams/journals/tcbb

Jiashun Wu Fang Ge Shanruo Xu Yan Liu 0038 Jiangning Song Dong-Jun Yu Identification of Protein-Nucleotide Binding Residues With Deep Multi-Task and Multi-Scale Learning. 5329-5338 2025 July 29 IEEE J. Biomed. Health Informatics 7 https://doi.org/10.1109/JBHI.2025.3547386 db/journals/titb/titb29.html#WuGXLSY25 streams/journals/titb

Hao Zhang 0210 Dongjun Yu Lei Zhang 0160 Guoping Rong Yongda Yu Haifeng Shen He Zhang 0001 Dong Shao Hongyu Kuang AUCAD: Automated Construction of Alignment Dataset from Log-Related Issues for Enhancing LLM-based Log Generation. 413-425 2025 Internetware https://doi.org/10.1145/3755881.3755889 conf/internetware/2025 db/conf/internetware/internetware2025.html#ZhangYZRYSZSK25

Dongjun Yu Xiao Yan Zhenrui Li Jipeng Xiao Haochuan He Yongda Yu Hao Zhang 0210 Guoping Rong Xiaobo Huang SynthCoder: A Synthetical Strategy to Tune LLMs for Code Completion. 2025 August abs/2508.15495 CoRR https://doi.org/10.48550/arXiv.2508.15495 db/journals/corr/corr2508.html#abs-2508-15495 streams/journals/corr

Shuo Li Yan Liu 0038 Long-Chen Shen He Yan Jiangning Song Dong-Jun Yu GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference. 2024 March 25 Briefings Bioinform. 2 https://doi.org/10.1093/bib/bbad529 https://www.wikidata.org/entity/Q129438111 db/journals/bib/bib25.html#LiLSYSY24

Yi-Heng Zhu 0001 Zi Liu Yan Liu 0038 Zhiwei Ji Dong-Jun Yu ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction. 2024 March 25 Briefings Bioinform. 2 https://doi.org/10.1093/bib/bbae040 https://www.wikidata.org/entity/Q129403533 db/journals/bib/bib25.html#ZhuLLJY24

Yuchuan Zhang Zhikang Wang Fang Ge Xiaoyu Wang 0016 Yiwen Zhang Shanshan Li 0008 Yuming Guo 0001 Jiangning Song Dong-Jun Yu MLSNet: a deep learning model for predicting transcription factor binding sites. 2024 November 25 Briefings Bioinform. 6 https://doi.org/10.1093/bib/bbae489 db/journals/bib/bib25.html#ZhangWGWZLGSY24 streams/journals/bib

Hailong Yang 0001 Yue Chen Yun Zuo 0001 Zhaohong Deng Xiaoyong Pan Hong-Bin Shen Kup-Sze Choi Dong-Jun Yu MINDG: a drug-target interaction prediction method based on an integrated learning algorithm. 2024 40 Bioinform. 4 https://doi.org/10.1093/bioinformatics/btae147 db/journals/bioinformatics/bioinformatics40.html#0001C0DPSCY24

Jia-Shun Wu Yan Liu 0038 Fang Ge Dong-Jun Yu Prediction of protein-ATP binding residues using multi-view feature learning via contextual-based co-attention network. 108227 2024 172 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2024.108227 db/journals/cbm/cbm172.html#WuLGY24

He Yan Yan Liu 0038 Yanmeng Li Qiaolin Ye Dong-Jun Yu Yong Qi 0002 Robust GEPSVM classifier: An efficient iterative optimization framework. 119986 2024 February 657 Inf. Sci. https://doi.org/10.1016/j.ins.2023.119986 db/journals/isci/isci657.html#YanLLYYQ24

Zi Liu Chengxin Zhang Qidi Zhang Yang Zhang 0040 Dong-Jun Yu TM-search: An Efficient and Effective Tool for Protein Structure Database Search. 1043-1049 2024 64 J. Chem. Inf. Model. 3 https://doi.org/10.1021/acs.jcim.3c01455 db/journals/jcisd/jcisd64.html#LiuZZ0Y24

Ming Zhang 0033 Chao Gong Fang Ge Dong-Jun Yu FCMSTrans: Accurate Prediction of Disease-Associated nsSNPs by Utilizing Multiscale Convolution and Deep Feature Combination within a Transformer Framework. 1394-1406 2024 February 64 J. Chem. Inf. Model. 4 https://doi.org/10.1021/acs.jcim.3c02025 db/journals/jcisd/jcisd64.html#ZhangGGY24

Zihao Yan Fang Ge Yan Liu 0038 Yumeng Zhang Fuyi Li Jiangning Song Dong-Jun Yu TransEFVP: A Two-Stage Approach for the Prediction of Human Pathogenic Variants Based on Protein Sequence Embedding Fusion. 1407-1418 2024 February 64 J. Chem. Inf. Model. 4 https://doi.org/10.1021/acs.jcim.3c02019 https://www.wikidata.org/entity/Q128180328 db/journals/jcisd/jcisd64.html#YanGLZLSY24

Ming Zhang 0033 Xiaohua Wang 0010 Shanruo Xu Fang Ge Ian Costa Paixao Jiangning Song Dong-Jun Yu MetalTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in Protein Metal-Binding Sites. 6216-6229 2024 64 J. Chem. Inf. Model. 15 https://doi.org/10.1021/acs.jcim.4c00739 db/journals/jcisd/jcisd64.html#ZhangWXGPSY24 streams/journals/jcisd

Xiaohua Wang 0010 Ming Zhang 0033 Xibei Yang Dong-Jun Yu Fang Ge GPTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in G Protein-Coupled Receptors. 9626-9642 2024 64 J. Chem. Inf. Model. 24 https://doi.org/10.1021/acs.jcim.4c01999 db/journals/jcisd/jcisd64.html#WangZYYG24 streams/journals/jcisd

Dian Liu Zi Liu Yunpeng Xia Zhikang Wang Jiangning Song Dong-Jun Yu TransC-ac4C: Identification of N4-Acetylcytidine (ac4C) Sites in mRNA Using Deep Learning. 1403-1412 2024 September - October 21 IEEE ACM Trans. Comput. Biol. Bioinform. 5 https://doi.org/10.1109/TCBB.2024.3386972 https://www.wikidata.org/entity/Q130994272 db/journals/tcbb/tcbb21.html#LiuLXWSY24 streams/journals/tcbb

Yunpeng Xia Ying Zhang 0053 Dian Liu Yi-Heng Zhu 0001 Zhikang Wang Jiangning Song Dong-Jun Yu BLAM6A-Merge: Leveraging Attention Mechanisms and Feature Fusion Strategies to Improve the Identification of RNA N6-Methyladenosine Sites. 1803-1815 2024 November - December 21 IEEE ACM Trans. Comput. Biol. Bioinform. 6 https://doi.org/10.1109/TCBB.2024.3418490 db/journals/tcbb/tcbb21.html#XiaZLZWSY24 streams/journals/tcbb

Yang Hua 0002 Zhenhua Feng 0001 Xiaoning Song Hui Li 0037 Tianyang Xu 0001 Xiao-Jun Wu 0001 Dong-Jun Yu APMG: 3D Molecule Generation Driven by Atomic Chemical Properties. 2269-2279 2024 November - December 21 IEEE ACM Trans. Comput. Biol. Bioinform. 6 https://doi.org/10.1109/TCBB.2024.3457807 db/journals/tcbb/tcbb21.html#HuaFSLXWY24 streams/journals/tcbb

Jiashun Wu Yan Liu 0038 Yiheng Zhu 0001 Dong-Jun Yu Improving Antifreeze Proteins Prediction With Protein Language Models and Hybrid Feature Extraction Networks. 2349-2358 2024 November - December 21 IEEE ACM Trans. Comput. Biol. Bioinform. 6 https://doi.org/10.1109/TCBB.2024.3467261 db/journals/tcbb/tcbb21.html#WuLZY24 streams/journals/tcbb

Hao Zhang 0210 Dongjun Yu Lei Zhang 0160 Guoping Rong Yongda Yu Haifeng Shen He Zhang 0001 Dong Shao Hongyu Kuang LoGFiLM: Fine-Tuning A Large Language Model for Automated Generation of Log Statements. 2024 abs/2412.18835 CoRR https://doi.org/10.48550/arXiv.2412.18835 db/journals/corr/corr2412.html#abs-2412-18835 streams/journals/corr

He Yan Li Cheng Qiaolin Ye Dong-Jun Yu Yong Qi 0002 Robust generalized canonical correlation analysis. 21140-21155 2023 September 53 Appl. Intell. 18 https://doi.org/10.1007/s10489-023-04666-6 db/journals/apin/apin53.html#YanCYYQ23

Fang Ge Chen Li 0021 Shahid Iqbal Muhammad Arif 0012 Fuyi Li Maha A. Thafar Zihao Yan Apilak Worachartcheewan Xiaofeng Xu Jiangning Song Dong-Jun Yu VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants. 2023 January 24 Briefings Bioinform. 1 https://doi.org/10.1093/bib/bbac535 db/journals/bib/bib24.html#GeLIALTYWXSY23

Yan Liu 0038 Guo Wei Chen Li 0021 Long-Chen Shen Robin B. Gasser Jiangning Song Dijun Chen Dong-Jun Yu TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level. 2023 May 24 Briefings Bioinform. 3 https://doi.org/10.1093/bib/bbad132 db/journals/bib/bib24.html#LiuWLSGSCY23

Matee Ullah Fazal Hadi Jiangning Song Dong-Jun Yu PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method. 2023 January 39 Bioinform. 1 https://doi.org/10.1093/bioinformatics/btac727 db/journals/bioinformatics/bioinformatics39.html#UllahHSY23

Qunzhuo Wu Zhaohong Deng Wei Zhang 0221 Xiaoyong Pan Kup-Sze Choi Yun Zuo 0001 Hong-Bin Shen Dong-Jun Yu MLNGCF: circRNA-disease associations prediction with multilayer attention neural graph-based collaborative filtering. 2023 August 39 Bioinform. 8 https://doi.org/10.1093/bioinformatics/btad499 db/journals/bioinformatics/bioinformatics39.html#WuDZPCZSY23

Ying Zhang 0053 Zhikang Wang Yiwen Zhang Shanshan Li 0008 Yuming Guo 0001 Jiangning Song Dong-Jun Yu Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues. 2023 December 39 Bioinform. 12 https://doi.org/10.1093/bioinformatics/btad709 db/journals/bioinformatics/bioinformatics39.html#ZhangWZLGSY23

Zi Liu Yi-Heng Zhu 0001 Long-Chen Shen Xuan Xiao Wangren Qiu Dong-Jun Yu Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction. 107529 2023 November 166 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2023.107529 db/journals/cbm/cbm166.html#LiuZSXQY23

Jing Ba Pingxin Wang Xibei Yang Hualong Yu Dongjun Yu Glee: A granularity filter for feature selection. 106080 2023 122 Eng. Appl. Artif. Intell. https://doi.org/10.1016/j.engappai.2023.106080 db/journals/eaai/eaai122.html#BaWYYY23

Yan Liu 0038 He Yan Long-Chen Shen Dong-Jun Yu Learning Cell Annotation under Multiple Reference Datasets by Multisource Domain Adaptation. 397-405 2023 63 J. Chem. Inf. Model. 1 https://doi.org/10.1021/acs.jcim.2c01277 db/journals/jcisd/jcisd63.html#LiuYSY23

Jun Hu 0010 Wenwu Zeng Ning-Xin Jia Muhammad Arif 0012 Dong-Jun Yu Gui-Jun Zhang Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm. 1044-1057 2023 February 63 J. Chem. Inf. Model. 3 https://doi.org/10.1021/acs.jcim.2c00943 db/journals/jcisd/jcisd63.html#HuZJAYZ23

Fang Ge Muhammad Arif 0012 Zihao Yan Hanin H. Alahmadi Apilak Worachartcheewan Dong-Jun Yu Watshara Shoombuatong MMPatho: Leveraging Multilevel Consensus and Evolutionary Information for Enhanced Missense Mutation Pathogenic Prediction. 7239-7257 2023 November 63 J. Chem. Inf. Model. 22 https://doi.org/10.1021/acs.jcim.3c00950 db/journals/jcisd/jcisd63.html#GeAYAWYS23

Yang Hua 0002 Xiaoning Song Zhenhua Feng 0001 Xiaojun Wu 0001 Josef Kittler Dong-Jun Yu CPInformer for Efficient and Robust Compound-Protein Interaction Prediction. 285-296 2023 January - February 20 IEEE ACM Trans. Comput. Biol. Bioinform. 1 https://doi.org/10.1109/TCBB.2022.3144008 https://www.wikidata.org/entity/Q130967390 db/journals/tcbb/tcbb20.html#HuaSFWKY23

Ying Zhang 0053 Fang Ge Fuyi Li Xibei Yang Jiangning Song Dong-Jun Yu Prediction of Multiple Types of RNA Modifications via Biological Language Model. 3205-3214 2023 September - October 20 IEEE ACM Trans. Comput. Biol. Bioinform. 5 https://doi.org/10.1109/TCBB.2023.3283985 https://www.wikidata.org/entity/Q130801032 db/journals/tcbb/tcbb20.html#ZhangGLYSY23

Fang Ge Ying Zhang 0053 Jian Xu 0009 Muhammad Arif 0012 Jiangning Song Dong-Jun Yu Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion. 2022 23 Briefings Bioinform. 1 https://doi.org/10.1093/bib/bbab530 db/journals/bib/bib23.html#GeZXASY22

Ke Han Long-Chen Shen Yi-Heng Zhu 0001 Jian Xu 0009 Jiangning Song Dong-Jun Yu MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network. 2022 23 Briefings Bioinform. 1 https://doi.org/10.1093/bib/bbab445 db/journals/bib/bib23.html#HanSZXSY22

Qunzhuo Wu Zhaohong Deng Xiaoyong Pan Hong-Bin Shen Kup-Sze Choi Shitong Wang 0001 Jing Wu 0030 Dong-Jun Yu MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction. 2022 23 Briefings Bioinform. 5 https://doi.org/10.1093/bib/bbac289 db/journals/bib/bib23.html#WuDPSCWWY22

Liang Rao Ning-Xin Jia Jun Hu 0010 Dong-Jun Yu Gui-Jun Zhang ATPdock: a template-based method for ATP-specific protein-ligand docking. 556-558 2022 38 Bioinform. 2 https://doi.org/10.1093/bioinformatics/btab667 db/journals/bioinformatics/bioinformatics38.html#RaoJHYZ22

Matee Ullah Fazal Hadi Jiangning Song Dong-Jun Yu PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data. 4019-4026 2022 38 Bioinform. 16 https://doi.org/10.1093/bioinformatics/btac432 https://www.wikidata.org/entity/Q114896869 db/journals/bioinformatics/bioinformatics38.html#UllahHSY22

He Yan Liyong Fu Yong Qi 0002 Dong-Jun Yu Qiaolin Ye Robust ensemble method for short-term traffic flow prediction. 395-410 2022 133 Future Gener. Comput. Syst. https://doi.org/10.1016/j.future.2022.03.034 db/journals/fgcs/fgcs133.html#YanFQYY22

Yi-Heng Zhu 0001 Chengxin Zhang Yan Liu 0038 Gilbert S. Omenn P. L. Freddolino Dong-Jun Yu Yang Zhang 0040 TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction. 1013-1027 2022 October 20 Genom. Proteom. Bioinform. 5 https://doi.org/10.1016/j.gpb.2022.03.001 db/journals/gpb/gpb20.html#ZhuZLOFYZ22

Lu-Xing Zhang He Yan Yan Liu 0038 Jian Xu 0009 Jiangning Song Dong-Jun Yu Enhancing Characteristic Gene Selection and Tumor Classification by the Robust Laplacian Supervised Discriminative Sparse PCA. 1794-1807 2022 62 J. Chem. Inf. Model. 7 https://doi.org/10.1021/acs.jcim.1c01403 db/journals/jcisd/jcisd62.html#ZhangYLXSY22

Shahid Iqbal Fang Ge Fuyi Li Tatsuya Akutsu Yuanting Zheng Robin B. Gasser Dong-Jun Yu Geoffrey I. Webb Jiangning Song PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations. 4270-4282 2022 62 J. Chem. Inf. Model. 17 https://doi.org/10.1021/acs.jcim.2c00799 db/journals/jcisd/jcisd62.html#IqbalGLAZGYWS22

Guan-Yu Zhu Yan Liu 0038 Peng-Hao Wang Xibei Yang Dong-Jun Yu Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning. 4283-4291 2022 62 J. Chem. Inf. Model. 17 https://doi.org/10.1021/acs.jcim.2c00959 db/journals/jcisd/jcisd62.html#ZhuLWYY22

He Yan Liyong Fu Yong Qi 0002 Li Cheng Qiaolin Ye Dong-Jun Yu Learning a robust classifier for short-term traffic state prediction. 108368 2022 242 Knowl. Based Syst. https://doi.org/10.1016/j.knosys.2022.108368 db/journals/kbs/kbs242.html#YanFQCYY22

Yi-Heng Zhu 0001 Chengxin Zhang Dong-Jun Yu Yang Zhang 0040 Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction. 1010793 2022 December 18 PLoS Comput. Biol. 12 https://doi.org/10.1371/journal.pcbi.1010793 db/journals/ploscb/ploscb18.html#ZhuZYZ22

He Yan Liyong Fu Tian'an Zhang Jun Hu 0010 Qiaolin Ye Yong Qi 0002 Dong-Jun Yu Robust distance metric optimization driven GEPSVM classifier for pattern classification. 108779 2022 129 Pattern Recognit. https://doi.org/10.1016/j.patcog.2022.108779 db/journals/pr/pr129.html#YanFZHYQY22

Muhammad Arif 0012 Muhammad Kabir Saeed Ahmed Abid Khan Fang Ge Adel Khelifi Dong-Jun Yu DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies. 2749-2759 2022 19 IEEE ACM Trans. Comput. Biol. Bioinform. 5 https://doi.org/10.1109/TCBB.2021.3102133 db/journals/tcbb/tcbb19.html#ArifKAKGKY22

Jun Hu 0010 Yan-Song Bai Lin-Lin Zheng Ning-Xin Jia Dong-Jun Yu Gui-Jun Zhang Protein-DNA Binding Residue Prediction via Bagging Strategy and Sequence-Based Cube-Format Feature. 3635-3645 2022 19 IEEE ACM Trans. Comput. Biol. Bioinform. 6 https://doi.org/10.1109/TCBB.2021.3123828 db/journals/tcbb/tcbb19.html#HuBZJYZ22

He Yan Yong Qi 0002 Qiaolin Ye Dong-Jun Yu Robust Least Squares Twin Support Vector Regression With Adaptive FOA and PSO for Short-Term Traffic Flow Prediction. 14542-14556 2022 23 IEEE Trans. Intell. Transp. Syst. 9 https://doi.org/10.1109/TITS.2021.3130264 https://www.wikidata.org/entity/Q114084236 db/journals/tits/tits23.html#YanQYY22

Yi-Heng Zhu 0001 Jun Hu 0010 Fang Ge Fuyi Li Jiangning Song Yang Zhang 0040 Dong-Jun Yu Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features. 2021 22 Briefings Bioinform. 3 https://doi.org/10.1093/bib/bbaa076 https://www.wikidata.org/entity/Q95286203 db/journals/bib/bib22.html#ZhuHGLSZY21

Yan Liu 0038 Yi-Heng Zhu 0001 Xiaoning Song Jiangning Song Dong-Jun Yu Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation. 2021 22 Briefings Bioinform. 5 https://doi.org/10.1093/bib/bbab001 db/journals/bib/bib22.html#LiuZSSY21

Long-Chen Shen Yan Liu 0038 Jiangning Song Dong-Jun Yu SAResNet: self-attention residual network for predicting DNA-protein binding. 2021 22 Briefings Bioinform. 5 https://doi.org/10.1093/bib/bbab101 db/journals/bib/bib22.html#ShenLSY21

Jing Xu 0008 Fuyi Li André Leier Dongxu Xiang Hsin-Hui Shen Tatiana T. Marquez-Lago Jian Li 0052 Dong-Jun Yu Jiangning Song Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides. 2021 22 Briefings Bioinform. 5 https://doi.org/10.1093/bib/bbab083 db/journals/bib/bib22.html#XuLLXSMLYS21

Ying Zhang 0053 Yan Liu 0038 Jian Xu 0009 Xiaoyu Wang 0016 Xinxin Peng Jiangning Song Dong-Jun Yu Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites. 2021 22 Briefings Bioinform. 6 https://doi.org/10.1093/bib/bbab351 db/journals/bib/bib22.html#0053LXWPSY21

Yan Liu 0038 Ke Han Yi-Heng Zhu 0001 Ying Zhang 0053 Long-Chen Shen Jiangning Song Dong-Jun Yu Improving protein fold recognition using triplet network and ensemble deep learning. 2021 22 Briefings Bioinform. 6 https://doi.org/10.1093/bib/bbab248 db/journals/bib/bib22.html#LiuHZZSSY21

Matee Ullah Ke Han Fazal Hadi Jian Xu 0009 Jiangning Song Dong-Jun Yu PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection. 2021 22 Briefings Bioinform. 6 https://doi.org/10.1093/bib/bbab278 db/journals/bib/bib22.html#UllahHHXSY21

Jun Hu 0010 Liang Rao Yi-Heng Zhu 0001 Gui-Jun Zhang Dong-Jun Yu TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features. 505-515 2021 61 J. Chem. Inf. Model. 1 https://doi.org/10.1021/acs.jcim.0c00735 https://www.wikidata.org/entity/Q104789042 db/journals/jcisd/jcisd61.html#HuRZZY21

Yang Li 0107 Chengxin Zhang Eric W. Bell Wei Zheng 0013 Xiaogen Zhou Dong-Jun Yu Yang Zhang 0040 Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks. 2021 17 PLoS Comput. Biol. 3 https://doi.org/10.1371/journal.pcbi.1008865 db/journals/ploscb/ploscb17.html#LiZBZZYZ21

Xiaoning Song Yao Chen Zhenhua Feng 0001 Guosheng Hu Dong-Jun Yu Xiaojun Wu 0001 SP-GAN: Self-Growing and Pruning Generative Adversarial Networks. 2458-2469 2021 32 IEEE Trans. Neural Networks Learn. Syst. 6 https://doi.org/10.1109/TNNLS.2020.3005574 https://www.wikidata.org/entity/Q97561783 db/journals/tnn/tnn32.html#SongCFHYW21

Muhammad Arif 0012 Saeed Ahmad Farman Ali 0002 Ge Fang Min Li 0009 Dong-Jun Yu TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree. 841-856 2020 34 J. Comput. Aided Mol. Des. 8 https://doi.org/10.1007/s10822-020-00307-z https://www.wikidata.org/entity/Q90374510 db/journals/jcamd/jcamd34.html#ArifAAFLY20

Ming-Cai Chen Yang Li 0107 Yi-Heng Zhu 0001 Fang Ge Dong-Jun Yu SSCpred: Single-Sequence-Based Protein Contact Prediction Using Deep Fully Convolutional Network. 3295-3303 2020 60 J. Chem. Inf. Model. 6 https://doi.org/10.1021/acs.jcim.9b01207 https://www.wikidata.org/entity/Q93252804 db/journals/jcisd/jcisd60.html#ChenLZGY20

Jun Hu 0010 Xiaogen Zhou Yi-Heng Zhu 0001 Dong-Jun Yu Gui-Jun Zhang TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning. 1419-1429 2020 17 IEEE ACM Trans. Comput. Biol. Bioinform. 4 https://doi.org/10.1109/TCBB.2019.2893634 https://www.wikidata.org/entity/Q91158991 db/journals/tcbb/tcbb17.html#HuZZYZ20

Yanchao Li 0001 Yongli Wang 0002 Dong-Jun Yu Ning Ye 0001 Peng Hu Ruxin Zhao ASCENT: Active Supervision for Semi-Supervised Learning. 868-882 2020 32 IEEE Trans. Knowl. Data Eng. 5 https://doi.org/10.1109/TKDE.2019.2897307 https://www.wikidata.org/entity/Q128492681 db/journals/tkde/tkde32.html#LiWYYHZ20

Yang Li 0107 Jun Hu 0011 Chengxin Zhang Dong-Jun Yu Yang Zhang 0040 ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks. 4647-4655 2019 35 Bioinform. 22 https://doi.org/10.1093/bioinformatics/btz291 https://www.wikidata.org/entity/Q91879914 db/journals/bioinformatics/bioinformatics35.html#LiHZYZ19

Yi-Heng Zhu 0001 Jun Hu 0010 Xiaoning Song Dong-Jun Yu DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines. 3057-3071 2019 59 J. Chem. Inf. Model. 6 https://doi.org/10.1021/acs.jcim.8b00749 https://www.wikidata.org/entity/Q92824835 db/journals/jcisd/jcisd59.html#ZhuHSY19

He Yan Qiaolin Ye Dong-Jun Yu Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion. 993-1018 2019 108 Mach. Learn. 6 https://doi.org/10.1007/s10994-018-5771-8 https://www.wikidata.org/entity/Q128943832 db/journals/ml/ml108.html#YanYY19

Jingzheng Li Xibei Yang Xiaoning Song Jinhai Li 0001 Pingxin Wang Dong-Jun Yu Neighborhood attribute reduction: a multi-criterion approach. 731-742 2019 10 Int. J. Mach. Learn. Cybern. 4 https://doi.org/10.1007/s13042-017-0758-5 db/journals/mlc/mlc10.html#LiYSLWY19

Xiaoning Song Guosheng Hu Jian-Hao Luo Zhenhua Feng 0001 Dong-Jun Yu Xiao-Jun Wu 0001 Fast SRC using quadratic optimisation in downsized coefficient solution subspace. 101-110 2019 161 Signal Process. https://doi.org/10.1016/j.sigpro.2019.03.007 https://www.wikidata.org/entity/Q128227733 db/journals/sigpro/sigpro161.html#SongHLFYW19

Xiao-Rong Bao Yi-Heng Zhu 0001 Dong-Jun Yu DeepTF: Accurate Prediction of Transcription Factor Binding Sites by Combining Multi-scale Convolution and Long Short-Term Memory Neural Network. 126-138 2019 IScIDE (2) https://doi.org/10.1007/978-3-030-36204-1_10 conf/iscide/2019-2 db/conf/iscide/iscide2019-2.html#BaoZY19

Jun Hu 0011 Zi Liu Dong-Jun Yu Yang Zhang 0040 LS-align: an atom-level, flexible ligand structural alignment algorithm for high-throughput virtual screening. 2209-2218 2018 34 Bioinform. 13 https://doi.org/10.1093/bioinformatics/bty081 https://www.wikidata.org/entity/Q52692628 db/journals/bioinformatics/bioinformatics34.html#HuLYZ18

Jun Hu 0011 Yang Li 0107 Yang Zhang 0040 Dong-Jun Yu ATPbind: Accurate Protein-ATP Binding Site Prediction by Combining Sequence-Profiling and Structure-Based Comparisons. 501-510 2018 58 J. Chem. Inf. Model. 2 https://doi.org/10.1021/acs.jcim.7b00397 https://www.wikidata.org/entity/Q52707715 db/journals/jcisd/jcisd58.html#HuLZY18

He Yan Qiaolin Ye Tian'an Zhang Dong-Jun Yu Yiqing Xu L1-Norm GEPSVM Classifier Based on an Effective Iterative Algorithm for Classification. 273-298 2018 48 Neural Process. Lett. 1 https://doi.org/10.1007/s11063-017-9714-3 db/journals/npl/npl48.html#YanYZYX18

He Yan Qiaolin Ye Tian'an Zhang Dong-Jun Yu Xia Yuan Yiqing Xu Liyong Fu Least squares twin bounded support vector machines based on L1-norm distance metric for classification. 434-447 2018 74 Pattern Recognit. https://doi.org/10.1016/j.patcog.2017.09.035 db/journals/pr/pr74.html#YanYZYYXF18

Chun-Qiu Xia Ke Han Yong Qi 0002 Yang Zhang 0040 Dong-Jun Yu A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data. 1315-1324 2018 15 IEEE ACM Trans. Comput. Biol. Bioinform. 4 https://doi.org/10.1109/TCBB.2017.2712607 https://doi.ieeecomputersociety.org/10.1109/TCBB.2017.2712607 https://dl.acm.org/doi/10.1109/TCBB.2017.2712607 https://www.wikidata.org/entity/Q36397264 db/journals/tcbb/tcbb15.html#XiaHQZY18

Suping Xu Xibei Yang Hualong Yu Dongjun Yu 一种基于邻域协同表达的分类方法 (Neighborhood Collaborative Representation Based Classification Method). 234-238 2017 44 计算机科学 9 https://doi.org/10.11896/j.issn.1002-137X.2017.09.044 http://www.jsjkx.com/EN/10.11896/j.issn.1002-137X.2017.09.044 db/journals/jsjkx/jsjkx44.html#XuYYY18

Jun Hu 0011 Yang Li 0107 Ming Zhang 0033 Xibei Yang Hong-Bin Shen Dong-Jun Yu Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs. 1389-1398 2017 14 IEEE ACM Trans. Comput. Biol. Bioinform. 6 https://doi.org/10.1109/TCBB.2016.2616469 https://doi.ieeecomputersociety.org/10.1109/TCBB.2016.2616469 https://dl.acm.org/doi/10.1109/TCBB.2016.2616469 https://www.wikidata.org/entity/Q50571403 db/journals/tcbb/tcbb14.html#HuLZYSY17

He Yan Qiaolin Ye Tian'an Zhang Dong-Jun Yu Efficient and Robust TWSVM Classifier Based on L1-Norm Distance Metric for Pattern Classification. 436-441 2017 ACPR https://doi.org/10.1109/ACPR.2017.23 conf/acpr/2017 db/conf/acpr/acpr2017.html#YanYZY17 Jun Hu 0011 Zi Liu Dong-Jun Yu Enhancing Protein-ATP and Protein-ADP Binding Sites Prediction Using Supervised Instance-Transfer Learning. 759-763 2017 ACPR https://doi.org/10.1109/ACPR.2017.9 conf/acpr/2017 db/conf/acpr/acpr2017.html#HuLY17

Jun Hu 0011 Yang Li 0107 Jing-Yu Yang 0001 Hong-Bin Shen Dong-Jun Yu GPCR-drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure. 59-71 2016 60 Comput. Biol. Chem. https://doi.org/10.1016/j.compbiolchem.2015.11.007 https://www.wikidata.org/entity/Q45952714 db/journals/candc/candc60.html#HuLYSY16

Jun Hu 0011 Yang Li 0107 Wuxia Yan Jing-Yu Yang 0001 Hong-Bin Shen Dong-Jun Yu KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning. 363-373 2016 191 Neurocomputing https://doi.org/10.1016/j.neucom.2016.01.043 db/journals/ijon/ijon191.html#HuLYYSY16

Zhisen Wei Ke Han Jing-Yu Yang 0001 Hong-Bin Shen Dong-Jun Yu Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests. 201-212 2016 193 Neurocomputing https://doi.org/10.1016/j.neucom.2016.02.022 db/journals/ijon/ijon193.html#WeiHYSY16

Hengrong Ju Xibei Yang Hualong Yu Tongjun Li Dong-Jun Yu Jingyu Yang 0001 Cost-sensitive rough set approach. 282-298 2016 355-356 Inf. Sci. https://doi.org/10.1016/j.ins.2016.01.103 db/journals/isci/isci355.html#JuYYLYY16

Suping Xu Xibei Yang Hualong Yu Dong-Jun Yu Jingyu Yang 0001 Eric C. C. Tsang Multi-label learning with label-specific feature reduction. 52-61 2016 104 Knowl. Based Syst. https://doi.org/10.1016/j.knosys.2016.04.012 db/journals/kbs/kbs104.html#XuYYYYT16

Xibei Yang Yong Qi 0002 Dong-Jun Yu Hualong Yu Jingyu Yang 0001 α-Dominance relation and rough sets in interval-valued information systems. 334-347 2015 294 Inf. Sci. https://doi.org/10.1016/j.ins.2014.10.003 db/journals/isci/isci294.html#YangQYYY15

Dong-Jun Yu Yang Li 0107 Jun Hu 0011 Xibei Yang Jing-Yu Yang 0001 Hong-Bin Shen Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression. 611-621 2015 12 IEEE ACM Trans. Comput. Biol. Bioinform. 3 https://doi.org/10.1109/TCBB.2014.2359451 https://doi.ieeecomputersociety.org/10.1109/TCBB.2014.2359451 https://dl.acm.org/doi/10.1109/TCBB.2014.2359451 https://www.wikidata.org/entity/Q30379031 db/journals/tcbb/tcbb12.html#YuLHYYS15

Zhisen Wei Jing-Yu Yang 0001 Dong-Jun Yu Predicting Protein-Protein Interactions with Weighted PSSM Histogram and Random Forests. 326-335 2015 IScIDE (2) https://doi.org/10.1007/978-3-319-23862-3_32 conf/iscide/2015-2 db/conf/iscide/iscide2015-2.html#WeiYY15

Dong-Jun Yu Jun Hu 0011 Hui Yan Xibei Yang Jing-Yu Yang 0001 Hong-Bin Shen Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble. 297 2014 15 BMC Bioinform. https://doi.org/10.1186/1471-2105-15-297 https://www.wikidata.org/entity/Q34667464 db/journals/bmcbi/bmcbi15.html#YuHYYYS14

Dong-Jun Yu Jun Hu 0011 Zhenmin Tang Hong-Bin Shen Jian Yang 0003 Jing-Yu Yang 0001 Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling. 180-190 2013 104 Neurocomputing https://doi.org/10.1016/j.neucom.2012.10.012 db/journals/ijon/ijon104.html#YuHTSYY13

Dong-Jun Yu Jun Hu 0011 Yan Huang Hong-Bin Shen Yong Qi 0002 Zhenmin Tang Jing-Yu Yang 0001 TargetATPsite: A template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble. 974-985 2013 34 J. Comput. Chem. 11 https://doi.org/10.1002/jcc.23219 https://www.wikidata.org/entity/Q45959808 db/journals/jcc/jcc34.html#YuHHSQTY13

Dong-Jun Yu Jun Hu 0011 Jing Yang Hong-Bin Shen Jinhui Tang 0001 Jing-Yu Yang 0001 Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering. 994-1008 2013 10 IEEE ACM Trans. Comput. Biol. Bioinform. 4 https://doi.org/10.1109/TCBB.2013.104 https://doi.ieeecomputersociety.org/10.1109/TCBB.2013.104 https://dl.acm.org/doi/10.1109/TCBB.2013.104 https://www.wikidata.org/entity/Q35066184 db/journals/tcbb/tcbb10.html#YuHYSTY13

Ya-Nan Zhang Dong-Jun Yu Shu-Sen Li Yong-Xian Fan Yan Huang Hong-Bin Shen Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features. 118 2012 13 BMC Bioinform. https://doi.org/10.1186/1471-2105-13-118 https://www.wikidata.org/entity/Q34204567 db/journals/bmcbi/bmcbi13.html#ZhangYLFHS12

Dongjun Yu Jun Hu 0011 Xiaoning Song Yong Qi 0002 Zhenmin Tang Supervised Kernel Self-Organizing Map. 246-253 2012 IScIDE https://doi.org/10.1007/978-3-642-36669-7_31 conf/iscide/2012 db/conf/iscide/iscide2012.html#YuHSQT12

Xibei Yang Tsau Young Lin Jingyu Yang 0001 Yan Li Dongjun Yu Combination of interval-valued fuzzy set and soft set. 521-527 2009 58 Comput. Math. Appl. 3 https://doi.org/10.1016/j.camwa.2009.04.019 db/journals/cma/cma58.html#YangLYLY09

Xibei Yang Dongjun Yu Jingyu Yang 0001 Lihua Wei Dominance-based rough set approach to incomplete interval-valued information system. 1331-1347 2009 68 Data Knowl. Eng. 11 https://doi.org/10.1016/j.datak.2009.07.007 db/journals/dke/dke68.html#YangYYW09

Xibei Yang Dongjun Yu Jingyu Yang 0001 Xiaoning Song Difference Relation-Based Rough Set and Negative Rules in Incomplete Information System. 649-665 2009 17 Int. J. Uncertain. Fuzziness Knowl. Based Syst. 5 https://doi.org/10.1142/S0218488509006194 db/journals/ijufks/ijufks17.html#YangYYS09

Dongjun Yu Jianfeng Lu 0003 Jingyu Yang 0001 Geodesic Discriminant Analysis on Curved Riemannian Manifold. 379-383 2009 FSKD (5) https://doi.org/10.1109/FSKD.2009.113 https://doi.ieeecomputersociety.org/10.1109/FSKD.2009.113 conf/fskd/2009 db/conf/fskd/fskd2009-5.html#YuLY09 Dongjun Yu Edwin R. Hancock William A. P. Smith A Riemannian Self-Organizing Map. 229-238 2009 ICIAP https://doi.org/10.1007/978-3-642-04146-4_26 https://www.wikidata.org/entity/Q60431116 conf/iciap/2009 db/conf/iciap/iciap2009.html#YuHS09 Dongjun Yu Edwin R. Hancock William A. P. Smith Learning a Self-organizing Map Model on a Riemannian Manifold. 375-390 2009 IMA Conference on the Mathematics of Surfaces https://doi.org/10.1007/978-3-642-03596-8_22 https://www.wikidata.org/entity/Q60431141 conf/ima-ms/2009 db/conf/ima-ms/ima-ms2009.html#YuHS09

Xibei Yang Jingyu Yang 0001 Chen Wu Dongjun Yu Dominance-based rough set approach and knowledge reductions in incomplete ordered information system. 1219-1234 2008 178 Inf. Sci. 4 https://doi.org/10.1016/j.ins.2007.09.019 db/journals/isci/isci178.html#YangYWY08

Xibei Yang Dongjun Yu Jingyu Yang 0001 Chen Wu Generalization of Soft Set Theory: From Crisp to Fuzzy Case. 345-354 2007 ICFIE https://doi.org/10.1007/978-3-540-71441-5_39 conf/icfie/2007 db/conf/icfie/icfie2007.html#YangYYW07 Yu-Jie Zheng Xiaojun Wu 0001 Dongjun Yu Jingyu Yang 0001 Weidong Wang Yong-Zhi Li Feature extraction by structured stepwise nonparametric maximum margin criterion. 53-56 2006 GrC https://doi.org/10.1109/GRC.2006.1635757 conf/grc/2006 db/conf/grc/grc2006.html#ZhengWYYWL06 Dongjun Yu Xiaojun Wu 0001 Jing-Yu Yang 0001 Quantitative Measurement for Fuzzy System to Input and Rule Perturbations. 159-164 2006 conf/icic/2006-2 ICIC (2) https://doi.org/10.1007/11816171_21 db/conf/icic/icic2006-2.html#YuWY06 Dongjun Yu Yong Qi 0002 Yong-Hong Xu Jing-Yu Yang 0001 Kernel-SOM Based Visualization of Financial Time Series Forecasting. 470-473 2006 conf/icicic/2006 ICICIC (2) https://doi.org/10.1109/ICICIC.2006.304 https://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.304 db/conf/icicic/icicic2006-2.html#YuQXY06 Yu-Jie Zheng Jing-Yu Yang 0001 Jian Yang 0003 Xiaojun Wu 0001 Dongjun Yu A Complete and Rapid Feature Extraction Method for Face Recognition. 469-472 2006 conf/icpr/2006 ICPR (3) https://doi.org/10.1109/ICPR.2006.53 https://doi.ieeecomputersociety.org/10.1109/ICPR.2006.53 db/conf/icpr/icpr2006-3.html#ZhengYYWY06

Yong Xu 0001 Jing-Yu Yang 0001 Jianfeng Lu 0003 Dongjun Yu An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments. 2091-2094 2004 37 Pattern Recognit. 10 https://doi.org/10.1016/j.patcog.2004.02.016 db/journals/pr/pr37.html#XuYLY04

Shitong Wang 0001 Dongjun Yu Jing-Yu Yang 0001 Integrating rough set theory and fuzzy neural network to discover fuzzy rules. 59-73 2003 7 Intell. Data Anal. 1 http://content.iospress.com/articles/intelligent-data-analysis/ida00117 db/journals/ida/ida7.html#WangYY03

Saeed Ahmad Saeed Ahmed Tatsuya Akutsu Balqis Yahya Ali Abdullah Al-Mahweeti Abdulkawi Yahya Radman Al-Shamiri Hanin H. Alahmadi Farman Ali 0002 Muhammad Arif 0012 Kamran Arshad Jing Ba Yan-Song Bai Xiao-Rong Bao Eric W. Bell Cheng Cai Dijun Chen Haoran Chen 0003 Ming-Cai Chen Wen Chen Yao Chen Yue Chen Li Cheng Kup-Sze Choi Zhaohong Deng Yong-Xian Fan Ge Fang Zhenhua Feng 0001 Lydia FreddolinoP. L. Freddolino Liyong Fu Letao Gao Robin B. Gasser Fang Ge Chao Gong Dongxing Gu Shenjian Gu Yuming Guo 0001 Fazal Hadi Ke Han Edwin R. Hancock Md Emran Hasan Haochuan He Liangwen He Fuping Hu Guosheng Hu Jun Hu 0010 Jun Hu 0011 Peng Hu Shudong Hu Xiaohua Hu 0001 Yang Hua 0002 Xiaobo Huang Yan Huang Shahid Iqbal Zhiwei Ji Ning-Xin Jia Shu Jiang Hengrong Ju Muhammad Kabir Abid Khan Adel Khelifi Josef Kittler Hongyu Kuang André Leier Andong Li Chen Li 0021 Cui-Feng Li Fuyi Li Hui Li 0037 Jian Li 0052 Jingzheng Li Jinhai Li 0001 Min Li 0009 Pei-Pei Li 0001Peipei Li 0001 Peixuan Li Shanshan Li 0008 Shu-Sen Li Shuo Li Tongjun Li Yan Li Yanchao Li 0001 Yang Li 0107 Yanmeng Li Yong-Zhi Li Zhenrui Li Tsau Young Lin Dian Liu Yan Liu Yan Liu 0038 Zi Liu Jianfeng Lu 0003 Chenxi Luo Jian-Hao Luo Tatiana T. Marquez-Lago Qiao NingNing Qiao Gilbert S. Omenn Ian Costa Paixao Tong Pan Xiaoyong Pan Xinxin Peng Yong Qi 0002 Wangren Qiu Liang Rao Guoping Rong Jamie Rossjohn Dong Shao Haifeng Shen Hong-Bin Shen Hsin-Hui Shen Long-Chen Shen Watshara Shoombuatong William A. P. Smith Jiangning Song Xiaoning Song Youwei Sun Jinhui Tang 0001 Zhenmin Tang Maha A. Thafar Eric C. C. Tsang Matee Ullah Guanjin Wang Lei Wang Peng-Hao Wang Pingxin Wang Shitong Wang 0001 Weidong Wang Weifu Wang Xiaohua Wang 0010 Xiaoyu Wang 0016 Yongli Wang 0002 Yuhan Wang Zhifei Wang Zhihui WangZhi-Hui Wang Zhikang Wang Zhongyu Wang Geoffrey I. Webb Guo Wei Lihua Wei Yuxiao Wei Zhisen Wei Zhisheng Wei Apilak Worachartcheewan Chen Wu Jia-Shun WuJiashun Wu Jing Wu 0030 Qunzhuo Wu Xiaojun Wu 0001Xiao-Jun Wu 0001 Yue-Fang Wu Chun-Qiu Xia Yunpeng Xia Dongxu Xiang Jipeng Xiao Xuan Xiao Xiaojun Xie Jian Xu 0009 Jing Xu 0008 Shanruo Xu Suping Xu Tianyang Xu 0001 Xiaofeng Xu Yiqing Xu Yong Xu 0001 Yong-Hong Xu He Yan Hui Yan Wuxia Yan Xiao Yan Zihao Yan Hailong Yang 0001 Jian Yang 0003 Jing Yang Jing-Yu Yang 0001Jingyu Yang 0001 Xibei Yang Xiyun Yang Ning Ye 0001 Qiaolin Ye Rui Ye Hong-Jin Yu Hualong Yu Xuan Yu Yongda Yu Xia Yuan Wenwu Zeng Chengxin Zhang Guijun ZhangGui-Jun Zhang Hao Zhang 0210 He Zhang 0001 Jing Zhang Lei Zhang 0160 Lu-Xing Zhang Ming Zhang 0033 Qi Zhang Qidi Zhang Te Zhang Tian'an Zhang Wei Zhang 0221 Yanan ZhangYa-Nan Zhang Yang Zhang 0040 Ying Zhang 0053 Yiwen Zhang Yuchuan Zhang Yumeng Zhang Ziqi Zhang Ruxin Zhao Lin-Lin Zheng Wei Zheng 0013 Yu-Jie Zheng Yuanting Zheng Yanqi Zhong Hanwen Zhou Xiaogen Zhou Yang Zhou Guan-Yu Zhu Lin Zhu Shuxin Zhu Yiheng ZhuYi-Heng Zhu Yiheng Zhu 0001Yi-Heng Zhu 0001 Yun Zuo 0001