Chengqian Lu

18 papers Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model.
Bioinform.
Qianpei Liu, Min Zeng, Yiming Li, Chengqian Lu, Shichao Kan, Fei Guo, Min Li
2025 J jnl
CellCircLoc: Deep Neural Network for Predicting and Explaining Cell Line-Specific CircRNA Subcellular Localization.
IEEE J. Biomed. Health Informatics
Min Zeng, Jingwei Lu, Yiming Li, Chengqian Lu, Shichao Kan, Fei Guo, Min Li
2025 J jnl
RNALoc-LM: RNA subcellular localization prediction using pre-trained RNA language model.
Bioinform.
Min Zeng, Xinyu Zhang, Yiming Li, Chengqian Lu, Rui Yin, Fei Guo, Min Li
2024 J jnl
Sea-land segmentation method based on an improved MA-Net for Gaofen-2 images.
Earth Sci. Informatics
Chengqian Lu, YuanChao Wen, Yangdong Li, Qinghong Mao, Yuehua Zhai
2023 J jnl
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features.
Briefings Bioinform.
Lishen Zhang, Chengqian Lu, Min Zeng, Yaohang Li, Jianxin Wang
2023 J jnl
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation.
Briefings Bioinform.
Min Li, Baoying Zhao, Rui Yin, Chengqian Lu, Fei Guo, Min Zeng
2023 J jnl
Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network.
Briefings Bioinform.
Chengqian Lu, Lishen Zhang, Min Zeng, Wei Lan, Guihua Duan, Jianxin Wang
2023 J jnl
LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism.
Bioinform.
Min Zeng, Yifan Wu, Yiming Li, Rui Yin, Chengqian Lu, Junwen Duan, Min Li
2022 J jnl
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding.
Briefings Bioinform.
Min Zeng, Yifan Wu, Chengqian Lu, Fuhao Zhang, Fang-Xiang Wu, Min Li
2021 J jnl
DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li
2021 J jnl
Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations.
IEEE J. Biomed. Health Informatics
Chengqian Lu, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li, Jianxin Wang
2021 J jnl
Heterogeneous graph inference with matrix completion for computational drug repositioning.
Bioinform.
Mengyun Yang, Lan Huang, Yunpei Xu, Chengqian Lu, Jianxin Wang
2021 J jnl
Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks.
Bioinform.
Chengqian Lu, Min Zeng, Fang-Xiang Wu, Min Li, Jianxin Wang
2020 J jnl
Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion.
IEEE J. Biomed. Health Informatics
Chengqian Lu, Mengyun Yang, Min Li, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2019 — conf
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques.
BIBM
Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li
2018 J jnl
Applications of deep learning to MRI images: A survey.
Big Data Min. Anal.
Jin Liu, Yi Pan, Min Li, Ziyue Chen, Lu Tang, Chengqian Lu, Jianxin Wang
2018 J jnl
Prediction of lncRNA-disease associations based on inductive matrix completion.
Bioinform.
Chengqian Lu, Mengyun Yang, Feng Luo, Fang-Xiang Wu, Min Li, Yi Pan, Yaohang Li, Jianxin Wang
2016 — conf
Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning.
BIBM
Wei Lan, Jianxin Wang, Min Li, Chengqian Lu, Fang-Xiang Wu, Yi Pan