Liang Chen

发表

Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation

Yihang Lou, Min Deng, Jianzhong He, 2022, AAAI.

Clustering CITE-seq data with a canonical correlation-based deep learning method

Min Deng, Liang Chen, Musu Yuan, 2022, Frontiers in Genetics.

Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation

Yihang Lou, Min Deng, Jianzhong He, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Single-cell RNA-seq data semi-supervised clustering and annotation via structural regularized domain adaptation

Liang Chen, Yuyao Zhai, Qiuyan He, 2020, Bioinform..

Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation

Liang Chen, Yuyao Zhai, Qiuyan He, 2020, Genes.

Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means Algorithm

Liang Chen, Minghua Deng, Weinan Wang, 2020, Frontiers in Genetics.

scEMAIL: Universal and Source-free Annotation Method for scRNA-seq Data with Novel Cell-type Perception

Min Deng, Liang Chen, Hui Wan, 2022, Genom. Proteom. Bioinform..

Clustering single-cell multi-omics data with MoClust

Min Deng, Liang Chen, Musu Yuan, 2022, Bioinformatics.

Clustering single cell CITE-seq data with a canonical correlation based deep learning method

Min Deng, Liang Chen, Musu Yuan, 2021, bioRxiv.

Deep soft K-means clustering with self-training for single-cell RNA sequence data

Liang Chen, Weinan Wang, Minghua Deng, 2020, NAR genomics and bioinformatics.

scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets

Liang Chen, Musu Yuan, Minghua Deng, 2021, Bioinform..

Statistical computation methods for microbiome compositional data network inference

Liang Chen, Shun He, Minghua Deng, 2021, 2109.01993.

Statistical Methods for Microbiome Compositional Data Network Inference: A Survey

Shun He, Min Deng, Liang Chen, 2022, J. Comput. Biol..

Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation

Yihang Lou, Min Deng, Jianzhong He, 2022, AAAI.

Direct interaction network inference for compositional data via codaloss

Liang Chen, Yuyao Zhai, Minghua Deng, 2020, J. Bioinform. Comput. Biol..

Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data

Min Deng, Liang Chen, Yuyao Zhai, 2023, AAAI.

Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data

Min Deng, Liang Chen, Yuyao Zhai, 2023, IJCAI.

DNA-GCN: Graph convolutional networks for predicting DNA-protein binding

Liang Chen, Xiao Luo, Minghua Deng, 2021, ICIC.

scNAME: neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data

Min Deng, Liang Chen, Hui Wan, 2022, Bioinform..

scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data

Min Deng, Liang Chen, Yuyao Zhai, 2024, Briefings in bioinformatics.

scEVOLVE: cell-type incremental annotation without forgetting for single-cell RNA-seq data

Min Deng, Liang Chen, Yuyao Zhai, 2024, Briefings Bioinform..