Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clustering. - Xuan Guo; Meng Yu 001; Ning Yu 004; Yi Pan 001 (BMC Bioinform., 2014)

GaussianCpG: A Gaussian model for detection of human CpG island. - Ning Yu 004; Xuan Guo; Alexander Zelikovsky; Yi Pan 001 (ICCABS, 2015)

DNA AS X: An Information-Coding-Based Model to Improve the Sensitivity in Comparative Gene Analysis. - Ning Yu 004; Xuan Guo; Feng Gu 001; Yi Pan 001 (ISBRA, 2015)

A fine-grained flow control model for cloud-assisted data broadcasting. - Ning Yu 004; Feng Gu 001; Xuan Guo; Zaobo He (SpringSim (CNS), 2015)

DIME: A Novel Framework for De Novo Metagenomic Sequence Assembly. - Xuan Guo; Ning Yu 004; Xiaojun Ding; Jianxin Wang 001; Yi Pan 001 (J. Comput. Biol., 2015)

A Cloud-Assisted Application over Apache Spark for Investigating Epigenetic Markers on DNA Genome Sequences. - Ning Yu 004; Bing Li 012; Yi Pan 001 (BDCloud-SocialCom-SustainCom, 2016)

A Novel Deep Learning Network Architecture with Cross-Layer Neurons. - Zeng Yu 001; Ning Yu 004; Yi Pan 001; Tianrui Li 001 (BDCloud-SocialCom-SustainCom, 2016)

A deep learning method for lincRNA identification using auto-encoder algorithm. - Ning Yu 004; Zeng Yu 001; Yi Pan 001 (ICCABS, 2016)

A Comprehensive Review of Emerging Computational Methods for Gene Identification. - Ning Yu 004; Zeng Yu 001; Bing Li 012; Feng Gu 001; Yi Pan 001 (J. Inf. Process. Syst., 2016)

J2M: a Java to MapReduce translator for cloud computing. - Bing Li 012; Junbo Zhang; Ning Yu 004; Yi Pan 001 (J. Supercomput., 2016)

Evaluating the Impact of Encoding Schemes on Deep Auto-Encoders for DNA Annotation. - Ning Yu 004; Zeng Yu 001; Feng Gu 001; Yi Pan 001 (ISBRA, 2017)

A deep learning method for lincRNA detection using auto-encoder algorithm. - Ning Yu 004; Zeng Yu 001; Yi Pan 001 (BMC Bioinform., 2017)

Three-Stream Convolutional Networks for Video-based Person Re-Identification. - Zeng Yu 001; Tianrui Li 001; Ning Yu 004; Xun Gong 002; Ke Chen; Yi Pan 001 (CoRR, 2017)

Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches. - Ning Yu 004; Zeng Yu 001; Feng Gu 001; Tianrui Li 001; Xinmin Tian; Yi Pan 001 (J. Inf. Process. Syst., 2017)

Survey on encoding schemes for genomic data representation and feature learning - from signal processing to machine learning. - Ning Yu 004; Zhihua Li; Zeng Yu 001 (Big Data Min. Anal., 2018)

Convolutional networks with cross-layer neurons for image recognition. - Zeng Yu 001; Tianrui Li 001; Guangchun Luo; Hamido Fujita; Ning Yu 004; Yi Pan 001 (Inf. Sci., 2018)

Three-Stream Convolutional Networks for Video-based Person Re-Identification. - Zeng Yu 001; Tianrui Li 001; Ning Yu 004; Xun Gong 002 (ISKE, 2019)

Reconstruction of Hidden Representation for Robust Feature Extraction. - Zeng Yu 001; Tianrui Li 001; Ning Yu 004; Yi Pan 001; Hongmei Chen 001; Bing Liu 001 (ACM Trans. Intell. Syst. Technol., 2019)

A Reservoir Computing Scheme for Multi-class Classification. - Nolan J. Coble; Ning Yu 004 (ACM Southeast Regional Conference, 2020)

AI-Powered GUI Attack and Its Defensive Methods. - Ning Yu 004; Zachary Tuttle; Carl Jake Thurnau; Emmanuel Mireku (ACM Southeast Regional Conference, 2020)

Handling the Missing Data Problem in Electronic Health Records for Cancer Prediction. - Xudong Zhang 004; Jiehao Xiao; Yifei Gong; Ning Yu 004; Wei Zhang 187; Sunghoon Jang; Feng Gu 001 (SpringSim, 2020)

Applying big data based deep learning system to intrusion detection. - Wei Zhong; Ning Yu 004; Chunyu Ai (Big Data Min. Anal., 2020)

A comprehensive survey on computational methods of non-coding RNA and disease association prediction. - Xiujuan Lei; Thosini Bamunu Mudiyanselage; Yuchen Zhang 003; Chen Bian; Wei Lan; Ning Yu 004; Yi Pan 001 (Briefings Bioinform., 2021)

Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions. - Wei Peng 004; Hancheng Liu; Wei Dai 012; Ning Yu 004; Jianxin Wang 001 (Bioinform., 2022)

A multi-view comparative learning method for spatial transcriptomics data clustering. - Wei Peng 004; Zhihao Zhang; Wei Dai 012; Xiaodong Fu; Li Liu 032; Lijun Liu; Ning Yu 004 (BIBM, 2023)

Improving drug response prediction based on two-space graph convolution. - Wei Peng 004; Tielin Chen; Hancheng Liu; Wei Dai 012; Ning Yu 004; Wei Lan (Comput. Biol. Medicine, 2023)

Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism. - Wei Peng 004; Rong Wu; Wei Dai 012; Ning Yu 004 (BMC Bioinform., 2023)

Sparse Attention-based Hierarchical Node Representation for Spatial Domain Identification. - Wei Peng 004; Zhihao Ping; Wei Dai 012; Xiaodong Fu; Li Liu 032; Lijun Liu; Ning Yu 004 (BIBM, 2024)

A Dual-Approach Framework for Enhancing Network Traffic Analysis (DAFENTA): Leveraging NumeroLogic LLM Embeddings and Transformer Models for Intrusion Detection. - Ning Yu 004; Liam Davies; Wei Zhong (IEEE Big Data, 2024)

LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features. - Wei Lan; Chunling Li; Qingfeng Chen; Ning Yu 004; Yi Pan 001; Yu Zheng 013; Yi-Ping Phoebe Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Multi-Network Graph Contrastive Learning for Cancer Driver Gene Identification. - Wei Peng 004; Zhengnan Zhou; Wei Dai 012; Ning Yu 004; Jianxin Wang 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Predicting Clinical Anticancer Drug Response of Patients by Using Domain Alignment and Prototypical Learning. - Wei Peng 004; Chuyue Chen; Wei Dai 012; Ning Yu 004; Jianxin Wang 001 (IEEE J. Biomed. Health Informatics, 2025)

Prediction of miRNA-disease association based on heterogeneous hypergraph convolution and heterogeneous graph multi-scale convolution. - Wei Dai 012; Sifan Pang; Zhichen He; Xiaodong Fu; Li Liu 032; Lijun Liu; Ning Yu 004 (Health Inf. Sci. Syst., 2025)