Min Zeng - RankMe

69 papers A* 3Journal 47Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MoChat: Joints-Grouped Spatio-Temporal Grounding Multimodal Large Language Model for Multi-Turn Motion Comprehension and Description. IEEE J. Biomed. Health Informatics Jiawei Mo, Yixuan Chen, Rifen Lin, Yongkang Ni, Feng Liang, Min Zeng, Xiping Hu, Min Li
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`	A Hypergraph Convolutional Network With Explicit High-Order Interaction Information Extraction for Drug Repositioning. IEEE Trans. Comput. Biol. Bioinform. Xiang Du, Xinliang Sun, Min Zeng, Wei Tan, Min Li
2025	—	`conf`	Accurate Residue-Level Prediction of Linear Interacting Peptides with Auxiliary Multi-Scale Anchor Detection. BIBM Fuhao Zhang, Chenxi Xia, Mingxin Dong, Min Zeng, Jian Zhang, 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	A*	`conf`	Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning. ACM Multimedia Haojie Zhang, Yixiong Liang, Hulin Kuang, Lihui Cen, Zhe Qu, Yigang Cen, Min Zeng, Shichao Kan
2025	J	`jnl`	Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning. CoRR Haojie Zhang, Yixiong Liang, Hulin Kuang, Lihui Cen, Zhe Qu, Yigang Cen, Min Zeng, Shichao Kan
2025	—	`conf`	DDLB: Using the Protein Language Model and Hierarchical Architecture to Improve Disordered Lipid-Binding Residues Prediction. ISBRA (1) Chaojin Wu, Fuhao Zhang, Pengzhen Jia, Min Zeng, Min Li
2025	—	`conf`	DP-GPT: GPT-Driven Gene Text Feature Embedding Fused with Gene Expression Data for Depression Prediction. BIBM Min Zeng, Junyu Gao, Qianpei Liu, Yiming Li, Fuhao Zhang, Ruiqing Zheng, Min Li
2025	—	`conf`	DeepDICI: Accurately Predicting Drug-Ion Channel Interactions via Deep Learning with Dynamic Structural Features. BIBM Rui Tang, Zhangli Lu, Zhicun Zeng, Ruiqing Zheng, Min Zeng, Min Li
2025	A*	`conf`	Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation. ACM Multimedia Jing Jin, Xu Liu, Te Gao, Zhihong Shi, Yixiong Liang, Ruiqing Zheng, Hulin Kuang, Min Zeng, Shichao Kan
2025	J	`jnl`	Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation. CoRR Jing Jin, Xu Liu, Te Gao, Zhihong Shi, Yixiong Liang, Ruiqing Zheng, Hulin Kuang, Min Zeng, Shichao Kan
2025	J	`jnl`	Enhancing Protein Function Prediction Through the Fusion of Multi-Type Biological Knowledge With Protein Language Model and Graph Neural Network. IEEE Trans. Comput. Biol. Bioinform. Wenkang Wang, Yunyan Shuai, Yiming Li, Min Zeng, Min Li
2025	J	`jnl`	From Charts to Code: A Hierarchical Benchmark for Multimodal Models. CoRR Jiahao Tang, Henry Hengyuan Zhao, Lijian Wu, Yifei Tao, Dongxing Mao, Yang Wan, Jingru Tan, Min Zeng, Min Li, Alex Jinpeng Wang
2025	—	`conf`	GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis. BIBM Rui Jin, Chen Chen, Yin Liu, Peng Wu, Hongfu Sun, Ruiqing Zheng, Min Zeng, Min Li, Yang Gao
2025	J	`jnl`	GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis. CoRR Rui Jin, Chen Chen, Yin Liu, Hongfu Sun, Min Zeng, Min Li, Yang Gao
2025	J	`jnl`	GoM-ICD: Automatic ICD Coding with Gap Schemes and Mixture of Experts. Big Data Min. Anal. Yifan Wu, Weiyan Qiu, Min Zeng, Xi Chen, Min Li, Hongtao Zhu
2025	J	`jnl`	Leveraging protein language models for cross-variant CRISPR/Cas9 sgRNA activity prediction. Bioinform. Yalin Hou, Yiming Li, Ruiqing Zheng, Fuhao Zhang, Fei Guo, Min Li, Min Zeng
2025	—	`conf`	RNA3D-SSCL: Improving RNA Tertiary Structure Prediction via a Secondary Structure-Constrained Loss Function. BIBM Jingwei Lu, Yifan Wu, Yiming Li, Qianpei Liu, Yang Gao, Min Zeng
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`	A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches. Briefings Bioinform. Wenkang Wang, Yunyan Shuai, Qiurong Yang, Fuhao Zhang, Min Zeng, Min Li
2024	—	`conf`	Aligning Multimodal Biomedical Images and Language via One Large Vision-Language Model. BIBM Haojie Zhang, Min Zeng, Jinfeng Ding, Yixiong Liang, Ruiqing Zheng, Zhe Qu, Min Li, Shichao Kan
2024	J	`jnl`	BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model. Bioinform. Hanyu Luo, Li Tang, Min Zeng, Rui Yin, Pingjian Ding, Lingyun Luo, Min Li
2024	—	`conf`	ComLMEss: Combining multiple protein language models enables accurate essential protein prediction. BIBM Xu Liu, Yiming Li, Fuhao Zhang, Ruiqing Zheng, Fei Guo, Min Li, Min Zeng
2024	—	`conf`	DP-BERT: a pre-trained deep language model for depression prediction using microarray data. BIBM Junyu Gao, Min Zeng, Yiming Li, Fang Wang, Ruiqing Zheng, Jin Liu, Fei Guo, Min Li
2024	J	`jnl`	MoChat: Joints-Grouped Spatio-Temporal Grounding LLM for Multi-Turn Motion Comprehension and Description. CoRR Jiawei Mo, Yixuan Chen, Rifen Lin, Yongkang Ni, Min Zeng, Xiping Hu, Min Li
2024	J	`jnl`	Rapid screening of multi-point mutations for enzyme thermostability modification by utilizing computational tools. Future Gener. Comput. Syst. Jia Jin, Qiaozhen Meng, Min Zeng, Guihua Duan, Ercheng Wang, Fei Guo
2024	J	`jnl`	SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning. Big Data Min. Anal. Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng
2024	—	`conf`	UniSleepPos: Sleep Posture Identification System Utilizing Millimeter-wave Radar. BIBM Kun Liu, Min Li, Chu He, Xu Tian, Junbin Mao, Min Zeng, Jin Liu
2023	J	`jnl`	A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Wenbo Shi, Fuhao Zhang, Min Zeng, Yaohang Li
2023	J	`jnl`	A review of enzyme design in catalytic stability by artificial intelligence. Briefings Bioinform. Yongfan Ming, Wenkang Wang, Rui Yin, Min Zeng, Li Tang, Shizhe Tang, Min Li
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	—	`conf`	DILM-ICD: A Deep Iterative Learning Model for Automatic ICD Coding. BIBM Weiyan Qiu, Yifan Wu, Yiming Li, Kunying Niu, Min Zeng, Min Li
2023	J	`jnl`	DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning. Bioinform. Yiming Li, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li
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
2023	—	`conf`	Protein function prediction using graph neural network with multi-type biological knowledge. BIBM Yuyan Shuai, Wenkang Wang, Yiming Li, Min Zeng, Min Li
2023	A*	`conf`	Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer. IJCAI Yifan Wu, Shichao Kan, Min Zeng, Min Li
2023	J	`jnl`	ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences. J. Biomed. Informatics Rui Yin, Zihan Luo, Pei Zhuang, Min Zeng, Min Li, Zhuoyi Lin, Chee Keong Kwoh
2022	J	`jnl`	A Pseudo Label-Wise Attention Network for Automatic ICD Coding. IEEE J. Biomed. Health Informatics Yifan Wu, Min Zeng, Ying Yu, Yaohang Li, Min Li
2022	J	`jnl`	A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods. Briefings Bioinform. Rui Yin, Xianghe Zhu, Min Zeng, Pengfei Wu, Min Li, Chee Keong Kwoh
2022	—	`conf`	ASNet: An Adversarial Sparse Network for Multi-task Biomedical Named Entity Recognition. BIBM Junwen Duan, Huai Guo, Min Zeng, Jianxin Wang
2022	J	`jnl`	Accurate Prediction of Human Essential Proteins Using Ensemble Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Yiming Li, Min Zeng, Yifan Wu, Yaohang Li, Min Li
2022	J	`jnl`	BridgeDPI: a novel Graph Neural Network for predicting drug-protein interactions. Bioinform. Yifan Wu, Min Gao, Min Zeng, Jie Zhang, 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
2022	J	`jnl`	KAICD: A knowledge attention-based deep learning framework for automatic ICD coding. Neurocomputing Yifan Wu, Min Zeng, Zhihui Fei, Ying Yu, Fang-Xiang Wu, Min Li
2022	—	`conf`	LDAGSO: Predicting 1ncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques. BIBM Norah Saeed Awn, Yiming Li, Baoying Zhao, Min Zeng, Min Li
2021	J	`jnl`	A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. IEEE ACM Trans. Comput. Biol. Bioinform. Fuhao Zhang, Hong Song, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Min Li
2021	J	`jnl`	A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
2021	J	`jnl`	A Pseudo Label-wise Attention Network for Automatic ICD Coding. CoRR Yifan Wu, Min Zeng, Ying Yu, Min Li
2021	J	`jnl`	BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions. CoRR Yifan Wu, Min Gao, Min Zeng, Feiyang Chen, Min Li, Jie Zhang
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`	DeepPPF: A deep learning framework for predicting protein family. Neurocomputing Shehu Mohammed Yusuf, Fuhao Zhang, Min Zeng, Min Li
2021	J	`jnl`	Essential Protein Prediction Based on node2vec and XGBoost. J. Comput. Biol. Nian Wang, Min Zeng, Yiming Li, Fang-Xiang Wu, Min Li
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
2021	—	`conf`	Improving human essential protein prediction using only protein sequences via ensemble learning. BIBM Min Zeng, Nian Wang, Yifan Wu, Yiming Li, Fang-Xiang Wu, Min Li
2020	—	`conf`	Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based on Node Embedding and XGBoost. ISBRA Nian Wang, Min Zeng, Jiashuai Zhang, Yiming Li, Min Li
2020	J	`jnl`	NEDD: a network embedding based method for predicting drug-disease associations. BMC Bioinform. Renyi Zhou, Zhangli Lu, Huimin Luo, Ju Xiang, Min Zeng, Min Li
2020	J	`jnl`	Network-based methods for predicting essential genes or proteins: a survey. Briefings Bioinform. Xingyi Li, Wenkai Li, Min Zeng, Ruiqing Zheng, Min Li
2020	J	`jnl`	PROBselect: accurate prediction of protein-binding residues from proteins sequences via dynamic predictor selection. Bioinform. Fuhao Zhang, Wenbo Shi, Jian Zhang, Min Zeng, Min Li, Lukasz A. Kurgan
2020	J	`jnl`	Protein-protein interaction site prediction through combining local and global features with deep neural networks. Bioinform. Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li
2019	J	`jnl`	Automated ICD-9 Coding via A Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Zhihui Fei, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
2019	J	`jnl`	Automatic ICD-9 coding via deep transfer learning. Neurocomputing Min Zeng, Min Li, Zhihui Fei, Ying Yu, Yi Pan, Jianxin Wang
2019	J	`jnl`	DeepEP: a deep learning framework for identifying essential proteins. BMC Bioinform. Min Zeng, Min Li, Fang-Xiang Wu, Yaohang Li, Yi Pan
2019	—	`conf`	HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding. BIBM Zhangli Lu, Yake Wang, Min Zeng, Min Li
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	—	`conf`	A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data. BIBM Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan