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ORCIDMin Zeng 0004
Person information
- affiliation: Central South University, Changsha, China
Other persons with the same name
- Min Zeng — disambiguation page
- Min Zeng 0001
![[0009-0007-3560-7899]](https://dblp.org/img/orcid-mark.12x12.png "0009-0007-3560-7899")
— Nanchang Institute of Science and Technology, Nanchang, China - Min Zeng 0002 — Southwest University of Science and Technology, Mianyang, China
- Min Zeng 0003 — Shanghai Jiao Tong University, Shanghai, China
- Min Zeng 0005 — Shanghai Jiao Tong University, Shanghai, China
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2020 – today
- 2025
[j32]Min Zeng, Jingwei Lu, Yiming Li, Chengqian Lu, Shichao Kan, Fei Guo, Min Li:
CellCircLoc: Deep Neural Network for Predicting and Explaining Cell Line-Specific CircRNA Subcellular Localization. IEEE J. Biomed. Health Informatics 29(2): 1494-1503 (2025)- [c14]Chaojin Wu, Fuhao Zhang, Pengzhen Jia, Min Zeng, Min Li:
DDLB: Using the Protein Language Model and Hierarchical Architecture to Improve Disordered Lipid-Binding Residues Prediction. ISBRA (1) 2025: 173-184 - [i6]Haojie Zhang, Yixiong Liang, Hulin Kuang, Lihui Cen, Zhe Qu, Yigang Cen, Min Zeng, Shichao Kan:
Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning. CoRR abs/2508.11673 (2025) - [i5]Jiahao Tang, Henry Hengyuan Zhao, Lijian Wu, Yifei Tao, Dongxing Mao, Yang Wan, Jingru Tan, Min Zeng, Min Li, Alex Jinpeng Wang:
From Charts to Code: A Hierarchical Benchmark for Multimodal Models. CoRR abs/2510.17932 (2025) - [i4]Rui Jin, Chen Chen, Yin Liu, Hongfu Sun, Min Zeng, Min Li, Yang Gao:
GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis. CoRR abs/2510.22507 (2025) - [i3]Jing Jin, Xu Liu, Te Gao, Zhihong Shi, Yixiong Liang, Ruiqing Zheng, Hulin Kuang, Min Zeng, Shichao Kan:
Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation. CoRR abs/2511.05034 (2025) - 2024
- [j31]Wenkang Wang, Yunyan Shuai, Qiurong Yang, Fuhao Zhang, Min Zeng, Min Li:
A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches. Briefings Bioinform. 25(2) (2024) - [j30]Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng:
SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning. Big Data Min. Anal. 7(3): 765-780 (2024) - [j29]Jia Jin, Qiaozhen Meng, Min Zeng, Guihua Duan, Ercheng Wang, Fei Guo:
Rapid screening of multi-point mutations for enzyme thermostability modification by utilizing computational tools. Future Gener. Comput. Syst. 160: 724-738 (2024) - [c13]Xu Liu, Yiming Li, Fuhao Zhang, Ruiqing Zheng, Fei Guo, Min Li, Min Zeng:
ComLMEss: Combining multiple protein language models enables accurate essential protein prediction. BIBM 2024: 67-72 - [c12]Junyu Gao, Min Zeng, Yiming Li, Fang Wang, Ruiqing Zheng, Jin Liu, Fei Guo, Min Li:
DP-BERT: a pre-trained deep language model for depression prediction using microarray data. BIBM 2024: 919-924 - [c11]Haojie Zhang, Min Zeng, Jinfeng Ding, Yixiong Liang, Ruiqing Zheng, Zhe Qu, Min Li, Shichao Kan:
Aligning Multimodal Biomedical Images and Language via One Large Vision-Language Model. BIBM 2024: 2874-2879 - 2023
- [j28]Min Li, Baoying Zhao, Rui Yin, Chengqian Lu, Fei Guo, Min Zeng:
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation. Briefings Bioinform. 24(1) (2023) - [j27]Chengqian Lu, Lishen Zhang, Min Zeng, Wei Lan, Guihua Duan, Jianxin Wang:
Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network. Briefings Bioinform. 24(1) (2023) - [j26]Lishen Zhang, Chengqian Lu, Min Zeng, Yaohang Li, Jianxin Wang:
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features. Briefings Bioinform. 24(1) (2023) - [j25]Yongfan Ming, Wenkang Wang, Rui Yin, Min Zeng, Li Tang, Shizhe Tang, Min Li:
A review of enzyme design in catalytic stability by artificial intelligence. Briefings Bioinform. 24(3) (2023) - [j24]Yiming Li, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li:
DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning. Bioinform. 39(1) (2023) - [j23]Min Zeng, Yifan Wu, Yiming Li, Rui Yin, Chengqian Lu, Junwen Duan, Min Li:
LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism. Bioinform. 39(12) (2023) - [j22]Rui Yin, Zihan Luo, Pei Zhuang, Min Zeng, Min Li, Zhuoyi Lin, Chee Keong Kwoh:
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences. J. Biomed. Informatics 142: 104388 (2023) - [j21]Min Li, Wenbo Shi, Fuhao Zhang, Min Zeng, Yaohang Li:
A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 833-842 (2023) - [c10]Yuyan Shuai, Wenkang Wang, Yiming Li, Min Zeng, Min Li:
Protein function prediction using graph neural network with multi-type biological knowledge. BIBM 2023: 30-35 - [c9]Weiyan Qiu, Yifan Wu, Yiming Li, Kunying Niu, Min Zeng, Min Li:
DILM-ICD: A Deep Iterative Learning Model for Automatic ICD Coding. BIBM 2023: 1394-1399 - [c8]Yifan Wu, Shichao Kan, Min Zeng, Min Li:
Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer. IJCAI 2023: 4433-4441 - 2022
- [j20]Min Zeng, Yifan Wu, Chengqian Lu, Fuhao Zhang, Fang-Xiang Wu, Min Li:
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding. Briefings Bioinform. 23(1) (2022) - [j19]Rui Yin, Xianghe Zhu, Min Zeng, Pengfei Wu, Min Li, Chee Keong Kwoh:
A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods. Briefings Bioinform. 23(5) (2022) - [j18]Yifan Wu, Min Gao, Min Zeng, Jie Zhang, Min Li:
BridgeDPI: a novel Graph Neural Network for predicting drug-protein interactions. Bioinform. 38(9): 2571-2578 (2022) - [j17]Yifan Wu, Min Zeng, Zhihui Fei, Ying Yu, Fang-Xiang Wu, Min Li:
KAICD: A knowledge attention-based deep learning framework for automatic ICD coding. Neurocomputing 469: 376-383 (2022) - [j16]Yiming Li, Min Zeng, Yifan Wu, Yaohang Li, Min Li:
Accurate Prediction of Human Essential Proteins Using Ensemble Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3263-3271 (2022) - [j15]Yifan Wu, Min Zeng, Ying Yu, Yaohang Li, Min Li:
A Pseudo Label-Wise Attention Network for Automatic ICD Coding. IEEE J. Biomed. Health Informatics 26(10): 5201-5212 (2022) - [c7]Norah Saeed Awn, Yiming Li, Baoying Zhao, Min Zeng, Min Li:
LDAGSO: Predicting 1ncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques. BIBM 2022: 398-403 - [c6]Junwen Duan, Huai Guo, Min Zeng, Jianxin Wang:
ASNet: An Adversarial Sparse Network for Multi-task Biomedical Named Entity Recognition. BIBM 2022: 416-421 - 2021
- [j14]Chengqian Lu, Min Zeng, Fang-Xiang Wu, Min Li, Jianxin Wang:
Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks. Bioinform. 36(24): 5656-5664 (2021) - [j13]Shehu Mohammed Yusuf, Fuhao Zhang, Min Zeng, Min Li:
DeepPPF: A deep learning framework for predicting protein family. Neurocomputing 428: 19-29 (2021) - [j12]Nian Wang, Min Zeng, Yiming Li, Fang-Xiang Wu, Min Li:
Essential Protein Prediction Based on node2vec and XGBoost. J. Comput. Biol. 28(7): 687-700 (2021) - [j11]Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 296-305 (2021) - [j10]Fuhao Zhang, Hong Song, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Min Li:
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2208-2217 (2021) - [j9]Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li:
DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2353-2363 (2021) - [j8]Chengqian Lu, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li, Jianxin Wang:
Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations. IEEE J. Biomed. Health Informatics 25(3): 891-899 (2021) - [c5]Min Zeng, Nian Wang, Yifan Wu, Yiming Li, Fang-Xiang Wu, Min Li:
Improving human essential protein prediction using only protein sequences via ensemble learning. BIBM 2021: 98-103 - [i2]Yifan Wu, Min Gao, Min Zeng, Feiyang Chen, Min Li, Jie Zhang:
BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions. CoRR abs/2101.12547 (2021) - [i1]Yifan Wu, Min Zeng, Ying Yu, Min Li:
A Pseudo Label-wise Attention Network for Automatic ICD Coding. CoRR abs/2106.06822 (2021) - 2020
- [j7]Xingyi Li, Wenkai Li, Min Zeng, Ruiqing Zheng, Min Li:
Network-based methods for predicting essential genes or proteins: a survey. Briefings Bioinform. 21(2): 566-583 (2020) - [j6]Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li:
Protein-protein interaction site prediction through combining local and global features with deep neural networks. Bioinform. 36(4): 1114-1120 (2020) - [j5]Fuhao Zhang, Wenbo Shi, Jian Zhang, Min Zeng, Min Li, Lukasz A. Kurgan:
PROBselect: accurate prediction of protein-binding residues from proteins sequences via dynamic predictor selection. Bioinform. 36(Supplement-2): i735-i744 (2020) - [j4]Renyi Zhou, Zhangli Lu, Huimin Luo, Ju Xiang, Min Zeng, Min Li:
NEDD: a network embedding based method for predicting drug-disease associations. BMC Bioinform. 21-S(13): 387 (2020) - [c4]Nian Wang, Min Zeng, Jiashuai Zhang, Yiming Li, Min Li:
Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based on Node Embedding and XGBoost. ISBRA 2020: 95-104
2010 – 2019
- 2019
- [j3]Min Zeng, Min Li, Fang-Xiang Wu, Yaohang Li, Yi Pan:
DeepEP: a deep learning framework for identifying essential proteins. BMC Bioinform. 20-S(16): 506:1-506:10 (2019) - [j2]Min Zeng, Min Li, Zhihui Fei, Ying Yu, Yi Pan, Jianxin Wang:
Automatic ICD-9 coding via deep transfer learning. Neurocomputing 324: 43-50 (2019) - [j1]Min Li, Zhihui Fei, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
Automated ICD-9 Coding via A Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1193-1202 (2019) - [c3]Zhangli Lu, Yake Wang, Min Zeng, Min Li:
HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding. BIBM 2019: 211-214 - [c2]Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li:
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques. BIBM 2019: 577-582 - 2018
- [c1]Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan:
A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data. BIBM 2018: 583-588
Coauthor Index
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