Lizhong Ding

发表

Deep learning in bioinformatics: Introduction, application, and perspective in the big data era.

Yu Li, Xin Gao, Zhongxiao Li, 2019, Methods.

SAIL: Self-Augmented Graph Contrastive Learning

Xiangliang Zhang, Longfei Li, Jun Zhou, 2020, AAAI.

Identifying Interaction Clusters for MiRNA and MRNA Pairs in TCGA Network

S. Handelman, Lizhong Ding, Hui Jiang, 2019, Genes.

Comparison of Alternative Splicing Junction Detection Tools Using RNA-Seq Data

Lizhong Ding, Yongsheng Bai, E. Rath, 2017, Current genomics.

Read-Split-Run: an improved bioinformatics pipeline for identification of genome-wide non-canonical spliced regions using RNA-Seq data

Lizhong Ding, Yongsheng Bai, Jeff Kinne, 2016, BMC Genomics.

Research on Short Video Hotspot Classification Based on LDA Feature Fusion and Improved BiLSTM

Lizhong Ding, Yubo Yuan, Linhui Li, 2022, Applied Sciences.

Fast Cross-Validation for Kernel-Based Algorithms

Yong Liu, Shizhong Liao, Lizhong Ding, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Identification of genome-wide non-canonical spliced regions and analysis of biological functions for spliced sequences using Read-Split-Fly

Yongsheng Bai, Lizhong Ding, Ethan Rath, 2017, BMC Bioinformatics.

Clustering analysis of microRNA and mRNA expression data from TCGA using maximum edge-weighted matching algorithms

Lizhong Ding, Yongsheng Bai, Zheyun Feng, 2019, BMC Medical Genomics.

Graphical Abstract CG 18-3-MS

Yongsheng Bai, Lizhong Ding, Ethan Rath, 2017 .

Differentially Private ERM Based on Data Perturbation pdf

Weiping Wang, Yong Liu, Xinwang Liu, 2020, ArXiv.

Deep learning in bioinformatics: introduction, application, and perspective in big data era

Yu Li, Chao Huang, Xin Gao, 2019, bioRxiv.

On the Decision Boundary of Deep Neural Networks pdf

Yu Li, Xin Gao, Lizhong Ding, 2018, ArXiv.

Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions

Xin Gao, Lizhong Ding, Hiroyuki Kuwahara, 2018, Bioinform..

Multi-Class Learning: From Theory to Algorithm

Yong Liu, Jian Li, Hua Zhang, 2018, NeurIPS.

Identification of genome-wide non-canonical spliced regions and analysis of biological functions for spliced sequences using Read-Split-Fly

Siva Dharman Naidu, Lizhong Ding, Yongsheng Bai, 2017, BMC Bioinformatics.

SupportNet: solving catastrophic forgetting in class incremental learning with support data pdf

Wei Chen, Yu Li, Peng Yang, 2018, ArXiv.

SupportNet: a novel incremental learning framework through deep learning and support data

Yu Li, Wei Chen, Lizhong Ding, 2018, bioRxiv.

MMiRNA-Viewer2, a bioinformatics tool for visualizing functional annotation for MiRNA and MRNA pairs in a network

Yongsheng Bai, Lizhong Ding, Xiaoming Liu, 2020, BMC Bioinformatics.

Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data

Ling Shao, Ge Yu, Yu Li, 2019, AAAI.

Dissecting the biological relationship between TCGA miRNA and mRNA sequencing data using MMiRNA-Viewer

Feng Jiang, Yongsheng Bai, Lizhong Ding, 2016, BMC Bioinformatics.

Efficient Cross-Validation for Semi-Supervised Learning pdf

Yong Liu, Jian Li, Weiping Wang, 2019, ArXiv.

Clustering analysis of microRNA and mRNA expression data from TCGA using maximum edge-weighted matching algorithms

Zheyun Feng, Lizhong Ding, Yongsheng Bai, 2019, BMC Medical Genomics.

Self-supervised Smoothing Graph Neural Networks

Xiangliang Zhang, Longfei Li, Jun Zhou, 2020, arXiv.org.

Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test

Ling Shao, Li Liu, Yong Liu, 2019, NeurIPS.