Min Li - RankMe

322 papers A* 9Misc 1Journal 215Unranked 93

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Guest Editorial for the 21th Asia Pacific Bioinformatics Conference. IEEE Trans. Comput. Biol. Bioinform. Min Li, Feng Luo, Yi-Ping Phoebe Chen
2026	J	`jnl`	Large language models meet NLP: a survey. Frontiers Comput. Sci. Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu
2026	J	`jnl`	MedViA: Empowering medical time series classification with vision augmentation and multimodal fusion. Inf. Fusion Wei Fan, Jingru Fei, Jindong Han, Jie Lian, Hangting Ye, Xiaozhuang Song, Xin Lv, Kun Yi, Min Li
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
2026	A*	`conf`	Skeletons Speak Louder than Text: A Motion-Aware Pretraining Paradigm for Video-Based Person Re-Identification. AAAI Rifen Lin, Alex Jinpeng Wang, Jiawei Mo, 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 Flexible Data-Driven Framework for Correcting Coarsely Annotated scRNA-seq Data. Big Data Min. Anal. Ruiqing Zheng, Yongxin He, Jiawen Huang, Shichao Kan, Hui Wang, Edwin Wang, 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	J	`jnl`	A survey of multilingual large language models. Patterns Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, Philip S. Yu
2025	J	`jnl`	ACE: A Versatile Contrastive Learning Framework for Single-cell Mosaic Integration. Genom. Proteom. Bioinform. Xuhua Yan, Jinmiao Chen, Ruiqing Zheng, Min Li
2025	—	`conf`	ADESys: A Modular System for ADE Identification Research with LLM-RAG Integration. BIBM Xuehong Wu, Jun-Long Ma, Guoping Yang, 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`	ActivityDiff: A diffusion model with Positive and Negative Activity Guidance for De Novo Drug Design. CoRR Renyi Zhou, Huimin Zhu, Jing Tang, Min Li
2025	J	`jnl`	Beyond Words: Advancing Long-Text Image Generation via Multimodal Autoregressive Models. CoRR Alex Jinpeng Wang, Linjie Li, Zhengyuan Yang, Lijuan Wang, 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`	CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models. AAAI Zihui Cheng, Qiguang Chen, Jin Zhang, Hao Fei, Xiaocheng Feng, Wanxiang Che, Min Li, Libo Qin
2025	—	`conf`	Contrastive Learning-Based Method for Single-Cell Multi-omics Data Clustering. ISBRA (1) Zhenlan Liang, Ruiqing Zheng, Huayu Tao, Yuxuan Chen, Min Li
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	J	`jnl`	DISHIC: An Effective Method for Identifying Differential Interaction in Single-Cell Hi-C. IEEE Trans. Comput. Biol. Bioinform. Yichao Zhao, Ruiqing Zheng, Li Tang, Pengzhen Jia, 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	J	`jnl`	DRGCL: Drug Repositioning via Semantic-Enriched Graph Contrastive Learning. IEEE J. Biomed. Health Informatics Xiao Jia, Xinliang Sun, Kaili Wang, 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`	Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection. AAAI Libo Qin, Qiguang Chen, Jingxuan Zhou, Jin Wang, Hao Fei, Wanxiang Che, Min Li
2025	J	`jnl`	DyNDG: Identifying Leukemia-related Genes Based on Time-series Dynamic Network by Integrating Differential Genes. Genom. Proteom. Bioinform. Jin A, Ju Xiang, Xiangmao Meng, Yue Sheng, Hongling Peng, Min Li
2025	J	`jnl`	Enhancing ICD classification with semantic embedding rectification and long-tail refinement. Knowl. Based Syst. Yuhao Wu, Yifan Wu, Wei Fan, Min Li
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`	Large Language Model for Medical Images: A Survey of Taxonomy, Systematic Review, and Future Trends. Big Data Min. Anal. Peng Wang, Wenpeng Lu, Chunlin Lu, Ruoxi Zhou, Min Li, Libo Qin
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`	MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios. ACL (Findings) Jinyang Huang, Xiachong Feng, Qiguang Chen, Hanjie Zhao, Zihui Cheng, Jiesong Bai, Jingxuan Zhou, Min Li, Libo Qin
2025	J	`jnl`	MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios. CoRR Jinyang Huang, Xiachong Feng, Qiguang Chen, Hanjie Zhao, Zihui Cheng, Jiesong Bai, Jingxuan Zhou, Min Li, Libo Qin
2025	J	`jnl`	MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. CoRR Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li
2025	J	`jnl`	PathActMarker: an R package for inferring pathway activity of complex diseases. Frontiers Comput. Sci. Xingyi Li, Jun Hao, Zhelin Zhao, Junming Li, Xingyu Liao, Min Li, Xuequn Shang
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
2025	J	`jnl`	S ACM Trans. Multim. Comput. Commun. Appl. Peng Wang, Yongheng Zhang, Hao Fei, Qiguang Chen, Yukai Wang, Jiasheng Si, Wenpeng Lu, Min Li, Libo Qin
2025	J	`jnl`	Skeletons Speak Louder than Text: A Motion-Aware Pretraining Paradigm for Video-Based Person Re-Identification. CoRR Rifen Lin, Alex Jinpeng Wang, Jiawei Mo, Min Li
2025	J	`jnl`	SpaNN: Spatial Transcriptomic Data Enhancement Using Deep Neural Network. IEEE Trans. Comput. Biol. Bioinform. Siqi Chen, Wenkang Wang, Ruiqing Zheng, Min Li
2025	J	`jnl`	TPepRet: a deep learning model for characterizing T-cell receptors-antigen binding patterns. Bioinform. Meng Wang, Wei Fan, Tianrui Wu, Min Li
2025	J	`jnl`	TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation. CoRR Alex Jinpeng Wang, Dongxing Mao, Jiawei Zhang, Weiming Han, Zhuobai Dong, Linjie Li, Yiqi Lin, Zhengyuan Yang, Libo Qin, Fuwei Zhang, Lijuan Wang, Min Li
2025	J	`jnl`	TextEditBench: Evaluating Reasoning-aware Text Editing Beyond Rendering. CoRR Rui Gui, Yang Wan, Haochen Han, Dongxing Mao, Fangming Liu, Min Li, Alex Jinpeng Wang
2025	A*	`conf`	Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. WWW Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li
2025	J	`jnl`	TransScore: A Graph Model for Pose Scoring and Affinity Prediction Based on Transformer Convolution Network. IEEE J. Biomed. Health Informatics Chuqi Lei, Wenkang Wang, Wei Fan, Zhangli Lu, Jing Tang, Min Li
2025	J	`jnl`	scHLens: a web server for hierarchically and interactively exploring single cell RNA-seq data. Briefings Bioinform. Jiazhi Xia, Zhiwei Deng, Chen He, Min Li, Ruiqing Zheng
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	J	`jnl`	A comprehensive review of protein-centric predictors for biomolecular interactions: from proteins to nucleic acids and beyond. Briefings Bioinform. Pengzhen Jia, Fuhao Zhang, Chaojin Wu, 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	—	`conf`	An Effective Tool for Differential Interaction Analysis in Single-Cell Hi-C Data. BIBM Yichao Zhao, Ruiqing Zheng, Li Tang, Pengzhen Jia, Min Li
2024	J	`jnl`	Assembling spatial clustering framework for heterogeneous spatial transcriptomics data with GRAPHDeep. Bioinform. Teng Liu, Zhaoyu Fang, Xin Li, Lining Zhang, Dong-Sheng Cao, Min Li, Mingzhu Yin
2024	—	`conf`	AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought. ACL (Findings) Yongheng Zhang, Qiguang Chen, Min Li, Wanxiang Che, Libo Qin
2024	J	`jnl`	AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought. CoRR Yongheng Zhang, Qiguang Chen, Min Li, Wanxiang Che, Libo Qin
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	J	`jnl`	CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification. Briefings Bioinform. Jin Liu, Weixing Zeng, Shichao Kan, Min Li, Ruiqing Zheng
2024	—	`conf`	CellCom: A web server for prediction, visualization, and evaluation of cell-cell communication mediated by ligand-receptor pairs. BCB Jianing Wang, Jin A, Hanjun Pan, Ruiqing Zheng, Chaojin Wu, Min Li
2024	J	`jnl`	CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models. CoRR Zihui Cheng, Qiguang Chen, Jin Zhang, Hao Fei, Xiaocheng Feng, Wanxiang Che, Min Li, Libo Qin
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`	Dopcc: Detecting Overlapping Protein Complexes via Multi-Metrics and Co-Core Attachment Method. IEEE ACM Trans. Comput. Biol. Bioinform. Wenkang Wang, Xiangmao Meng, Ju Xiang, Hayat Dino Bedru, Min Li
2024	J	`jnl`	Drug repositioning with adaptive graph convolutional networks. Bioinform. Xinliang Sun, Xiao Jia, Zhangli Lu, Jing Tang, Min Li
2024	J	`jnl`	Editorial: The 21st Asian Pacific Bioinformatics Conference 2023. Comput. Biol. Chem. Min Li, Yi-Ping Phoebe Chen
2024	—	`conf`	Heterogeneous network impulsive dynamics for identifying disease-associated genes. BIBM Ju Xiang, Shengkai Chen, Lin-Cong-Hua Wang, Xiangmao Meng, Min Li
2024	J	`jnl`	IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules. CoRR Min Li, Chen Chen, Zhuang Xiong, Ying Liu, Pengfei Rong, Shanshan Shan, Feng Liu, Hongfu Sun, Yang Gao
2024	J	`jnl`	Knowledge Graph Convolutional Network with Heuristic Search for Drug Repositioning. J. Chem. Inf. Model. Xiang Du, Xinliang Sun, Min Li
2024	J	`jnl`	LGGA-MPP: Local Geometry-Guided Graph Attention for Molecular Property Prediction. J. Chem. Inf. Model. Lei Song, Huimin Zhu, Kaili Wang, Min Li
2024	Misc	`conf`	LabCLIP: Label-Enhanced Clip for Improving Zero-Shot Text Classification. ICASSP Yongheng Zhang, Peng Wang, Qiguang Chen, Jingxuan Zhou, Yongmei Wang, Min Li, Libo Qin
2024	J	`jnl`	Large Language Models Meet NLP: A Survey. CoRR Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu
2024	A*	`conf`	Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning. NeurIPS Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou
2024	J	`jnl`	Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning. CoRR Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou
2024	—	`conf`	LoopNetica: Predicting Chromatin Loops Using Convolutional Neural Networks and Attention Mechanisms. ISBRA (3) Yang Lei, Li Tang, Hanyu Luo, Wenjie Huang, Min Li
2024	J	`jnl`	MDDOmics: multi-omics resource of major depressive disorder. Database J. Biol. Databases Curation Yichao Zhao, Ju Xiang, Xingyuan Shi, Pengzhen Jia, Yan Zhang, Min Li
2024	—	`conf`	MSMK: Multiscale Module Kernel for Identifying Disease-Related Genes. ISBRA (1) Ju Xiang, Shengkai Chen, Xiangmao Meng, Ruiqing Zheng, Ying Zheng, 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`	Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers. CoRR Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, Philip S. Yu
2024	J	`jnl`	Multiplex Networks and Pan-Cancer Multiomics-Based Driver Gene Identification Using Graph Neural Networks. Big Data Min. Anal. Xingyi Li, Junming Li, Jun Hao, Xingyu Liao, Min Li, Xuequn Shang
2024	J	`jnl`	Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks. Medical Image Anal. Yang Gao, Zhuang Xiong, Shanshan Shan, Yin Liu, Pengfei Rong, Min Li, Alan H. Wilman, G. Bruce Pike, Feng Liu, Hongfu Sun
2024	—	`conf`	RBVS: Database of the Receptor-Based Virtual Screening. BCB Senbiao Fang, Huimin Zhu, Yongfan Ming, Kunying Niu, Baoying Zhao, Min Li
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	J	`jnl`	TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. Briefings Bioinform. Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li
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
2024	A*	`conf`	What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration. NeurIPS Libo Qin, Qiguang Chen, Hao Fei, Zhi Chen, Min Li, Wanxiang Che
2024	J	`jnl`	What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration. CoRR Libo Qin, Qiguang Chen, Hao Fei, Zhi Chen, Min Li, Wanxiang Che
2024	—	`conf`	multiTAD: an Attention-Based Deep Learning Model for Identifying TAD Boundaries through Multi-Size Feature Integration. BIBM Xue Wang, Li Tang, Hanyu Luo, Yajing Deng, Min Li
2024	—	`conf`	scCoRR: A Data-Driven Self-correction Framework for Labeled scRNA-Seq Data. ISBRA (2) Yongxin He, Jin Liu, Min Li, Ruiqing Zheng
2024	—	`conf`	scGDCC: Graph-based Dual Contrastive Calibration for Single Cell MultiOmics Clustering. BIBM Huayu Tao, Xinliang Sun, Yuxuan Chen, Min Li, Ruiqing Zheng
2024	J	`jnl`	scMAE: a masked autoencoder for single-cell RNA-seq clustering. Bioinform. Zhaoyu Fang, Ruiqing Zheng, Min Li
2024	J	`jnl`	scMLC: an accurate and robust multiplex community detection method for single-cell multi-omics data. Briefings Bioinform. Yuxuan Chen, Ruiqing Zheng, Jin Liu, Min Li
2024	J	`jnl`	scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis. PLoS Comput. Biol. Wei Lan, Tongsheng Ling, Qingfeng Chen, Ruiqing Zheng, Min Li, Yi Pan
2024	—	`conf`	spGCLF: a versatile deep graph contrastive learning framework for spatial transcriptomics analysis. BIBM Xiang Chen, Junnan Yu, Min Li
2024	J	`jnl`	stAA: adversarial graph autoencoder for spatial clustering task of spatially resolved transcriptomics. Briefings Bioinform. Zhaoyu Fang, Teng Liu, Ruiqing Zheng, Jin A, Mingzhu Yin, Min Li
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 comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction. Briefings Bioinform. Meng Wang, Lukasz A. Kurgan, Min Li
2023	—	`conf`	A deep graph convolution network with attention for clustering scRNA-seq data. BIBM Xiang Chen, Junnan Yu, Li Peng, Min Li
2023	—	`conf`	A flexible gene regulatory network reconstruction method based on autoencoder and graph attention network. BIBM Ruiqing Zheng, Yanping Zeng, Weixing Zeng, Min 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`	Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data. Briefings Bioinform. Siqi Chen, Xuhua Yan, Ruiqing Zheng, Min Li
2023	J	`jnl`	CACO: A Core-Attachment Method With Cross-Species Functional Ortholog Information to Detect Human Protein Complexes. IEEE J. Biomed. Health Informatics Wenkang Wang, Xiangmao Meng, Ju Xiang, Yunyan Shuai, Hayat Dino Bedru, Min Li
2023	J	`jnl`	CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan
2023	J	`jnl`	CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity. Bioinform. Xuhua Yan, Ruiqing Zheng, Fang-Xiang Wu, Min Li
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`	DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications. Briefings Bioinform. Ze-Ying Feng, Xue-Hong Wu, Jun-Long Ma, Min Li, Ge-Fei He, Dong-Sheng Cao, Guo-Ping Yang
2023	J	`jnl`	DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms. CoRR Zhangli Lu, Chuqi Lei, Kaili Wang, Libo Qin, Jing Tang, 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	—	`conf`	DyNRW: Time-Series Dynamical Networks for Identifying HCC-Related Genes. BIBM Jin A, Ju Xiang, Min Li
2023	A*	`conf`	End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions. EMNLP Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, Min Li
2023	J	`jnl`	End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions. CoRR Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, Min Li
2023	J	`jnl`	Fusion-Based Deep Learning Architecture for Detecting Drug-Target Binding Affinity Using Target and Drug Sequence and Structure. IEEE J. Biomed. Health Informatics Kaili Wang, 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`	GraphscoreDTA: optimized graph neural network for protein-ligand binding affinity prediction. Bioinform. Kaili Wang, Renyi Zhou, Jing Tang, Min Li
2023	J	`jnl`	Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. IEEE ACM Trans. Comput. Biol. Bioinform. Zhipeng Cai, Min Li, Pavel Skums, Yanjie Wei
2023	J	`jnl`	Inferring single-cell gene regulatory network by non-redundant mutual information. Briefings Bioinform. Yanping Zeng, Yongxin He, Ruiqing Zheng, Min Li
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	J	`jnl`	Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications. Big Data Min. Anal. Xuehong Wu, Junwen Duan, Yi Pan, 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	J	`jnl`	RLBind: a deep learning method to predict RNA-ligand binding sites. Briefings Bioinform. Kaili Wang, Renyi Zhou, Yifan Wu, Min Li
2023	J	`jnl`	Retrieve and rerank for automated ICD coding via Contrastive Learning. J. Biomed. Informatics Kunying Niu, Yifan Wu, Yaohang Li, 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`	StackCPA: A stacking model for compound-protein binding affinity prediction based on pocket multi-scale features. Comput. Biol. Medicine Chuqi Lei, Zhangli Lu, Meng Wang, Min Li
2023	J	`jnl`	Structural Analysis and Prediction of Hematotoxicity Using Deep Learning Approaches. J. Chem. Inf. Model. Teng-Zhi Long, Shao-Hua Shi, Shao Liu, Ai-Ping Lu, Zhao-Qian Liu, Min Li, Tingjun Hou, Dong-Sheng Cao
2023	J	`jnl`	The Impact of Computational Drug Discovery on Society. IEEE Trans. Comput. Soc. Syst. Jianxin Wang, Min Li, Edwin Wang, Jing Tang, Bin Hu
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
2023	J	`jnl`	scNCL: transferring labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization. Bioinform. Xuhua Yan, Ruiqing Zheng, Jinmiao Chen, Min Li
2022	J	`jnl`	A Dual Ranking Algorithm Based on the Multiplex Network for Heterogeneous Complex Disease Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li
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`	A single cell potency inference method based on the local cell-specific network entropy. BIBM Ziwei Xu, Ruiqing Zheng, Yuxuan Chen, Edwin Wang, Min Li
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`	BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction. Bioinform. Min Li, Zhangli Lu, Yifan Wu, Yaohang Li
2022	—	`conf`	BayesImpute: a Bayesian imputation method for single-cell RNA-seq data. BIBM Siqi Chen, Ruiqing Zheng, Luyi Tian, Fang-Xiang Wu, Min Li
2022	J	`jnl`	Biomedical data, computational methods and tools for evaluating disease-disease associations. Briefings Bioinform. Ju Xiang, Jiashuai Zhang, Yichao Zhao, Fang-Xiang Wu, 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	A*	`conf`	Coded Residual Transform for Generalizable Deep Metric Learning. NeurIPS Shichao Kan, Yixiong Liang, Min Li, Yigang Cen, Jianxin Wang, Zhihai He
2022	J	`jnl`	Coded Residual Transform for Generalizable Deep Metric Learning. CoRR Shichao Kan, Yixiong Liang, Min Li, Yigang Cen, Jianxin Wang, Zhihai He
2022	J	`jnl`	DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. Xiangmao Meng, Ju Xiang, Ruiqing Zheng, Fang-Xiang Wu, Min Li
2022	J	`jnl`	DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. Briefings Bioinform. Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li, Lukasz A. Kurgan
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`	EPIXplorer: A web server for prediction, analysis and visualization of enhancer-promoter interactions. Nucleic Acids Res. Li Tang, Zhizhou Zhong, Yisheng Lin, Yifei Yang, Jun Wang, James F. Martin, Min Li
2022	J	`jnl`	GLOBE: a contrastive learning-based framework for integrating single-cell transcriptome datasets. Briefings Bioinform. Xuhua Yan, Ruiqing Zheng, Min Li
2022	J	`jnl`	Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. IEEE ACM Trans. Comput. Biol. Bioinform. Zhipeng Cai, Min Li, Pavel Skums
2022	J	`jnl`	Guest editorial: Deep neural networks for precision medicine. Neurocomputing Fang-Xiang Wu, Min Li, Lukasz A. Kurgan, Luis Rueda
2022	J	`jnl`	HyMM: hybrid method for disease-gene prediction by integrating multiscale module structure. Briefings Bioinform. Ju Xiang, Xiangmao Meng, Yichao Zhao, Fang-Xiang Wu, Min Li
2022	J	`jnl`	In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE2. IEEE ACM Trans. Comput. Biol. Bioinform. Senbiao Fang, Ruoqian Zheng, Chuqi Lei, Jianxin Wang, Renyi Zhou, 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
2022	—	`conf`	MERAS: A method for entity recognition, alignment, and structuration from Chinese Electronic Medical Records. BIBM Xuehong Wu, Yifan Wu, Min Li
2022	J	`jnl`	NIMCE: A Gene Regulatory Network Inference Approach Based on Multi Time Delays Causal Entropy. IEEE ACM Trans. Comput. Biol. Bioinform. Haonan Feng, Ruiqing Zheng, Jianxin Wang, Fang-Xiang Wu, Min Li
2022	J	`jnl`	PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation. CoRR Huimin Zhu, Renyi Zhou, Jing Tang, Min Li
2022	J	`jnl`	Partner-Specific Drug Repositioning Approach Based on Graph Convolutional Network. IEEE J. Biomed. Health Informatics Xinliang Sun, Bei Wang, Jie Zhang, Min Li
2022	J	`jnl`	SEPA: signaling entropy-based algorithm to evaluate personalized pathway activation for survival analysis on pan-cancer data. Bioinform. Xingyi Li, Min Li, Ju Xiang, Zhelin Zhao, Xuequn Shang
2022	J	`jnl`	Temporal-Spatial Analysis of the Essentiality of Hub Proteins in Protein-Protein Interaction Networks. IEEE Trans. Netw. Sci. Eng. Xiangmao Meng, Wenkai Li, Ju Xiang, Hayat Dino Bedru, Wenkang Wang, Fang-Xiang Wu, Min Li
2022	J	`jnl`	TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. CoRR Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, 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	—	`conf`	A Hybrid Pooling Based Deep Learning Framework For Automated ICD Coding. BIBM Sajida Raz Bhutto, Yifan Wu, Ying Yu, Akhtar Hussain Jalbani, Min Li
2021	J	`jnl`	A Novel Drug Repositioning Approach Based on Collaborative Metric Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Huimin Luo, Jianxin Wang, Cheng Yan, Min Li, Fang-Xiang Wu, Yi Pan
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`	An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines. IEEE ACM Trans. Comput. Biol. Bioinform. Ruiqing Zheng, Min Li, Xiang Chen, Siyu Zhao, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2021	—	`ed.`	Bioinformatics Research and Applications - 17th International Symposium, ISBRA 2021, Shenzhen, China, November 26-28, 2021, Proceedings ISBRA Yanjie Wei, Min Li, Pavel Skums, Zhipeng Cai
2021	J	`jnl`	Biomedical data and computational models for drug repositioning: a comprehensive review. Briefings Bioinform. Huimin Luo, Min Li, Mengyun Yang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang
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	—	`conf`	DeepCI: a deep learning based clustering method for single cell RNA-seq data. BIBM Zhenlan Liang, Ruiqing Zheng, Siqi Chen, Xuhua Yan, Min Li
2021	J	`jnl`	DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Yake Wang, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2021	J	`jnl`	DeepDTAF: a deep learning method to predict protein-ligand binding affinity. Briefings Bioinform. Kaili Wang, Renyi Zhou, Yaohang Li, Min Li
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`	Deletion Detection Method Using the Distribution of Insert Size and a Precise Alignment Strategy. IEEE ACM Trans. Comput. Biol. Bioinform. Zhen Zhang, Junwei Luo, Juan Shang, Min Li, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2021	J	`jnl`	EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads. IEEE ACM Trans. Comput. Biol. Bioinform. Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang
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`	FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers. IEEE ACM Trans. Comput. Biol. Bioinform. Xingyi Li, Ju Xiang, Jianxin Wang, Jinyan 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
2021	J	`jnl`	Key residues influencing binding affinities of 2019-nCoV with ACE2 in different species. Briefings Bioinform. Senbiao Fang, Ruoqian Zheng, Chuqi Lei, Jianxin Wang, Ruiqing Zheng, Min Li
2021	—	`conf`	MKG: a mutual information based method to infer single cell gene regulatory network. BIBM Yanping Zeng, Xuhua Yan, Zhenlan Liang, Ruiqing Zheng, Min Li
2021	J	`jnl`	NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction. Briefings Bioinform. Ju Xiang, Jiashuai Zhang, Ruiqing Zheng, Xingyi Li, Min Li
2021	—	`conf`	Overlapping Protein Complexes Detection Based on Multi-level Topological Similarities. ISBRA Wenkang Wang, Xiangmao Meng, Ju Xiang, Min Li
2021	J	`jnl`	Protein interaction networks: centrality, modularity, dynamics, and applications. Frontiers Comput. Sci. Xiangmao Meng, Wenkai Li, Xiaoqing Peng, Yaohang Li, Min Li
2021	J	`jnl`	SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement. Genom. Proteom. Bioinform. Zhenlan Liang, Min Li, Ruiqing Zheng, Yu Tian, Xuhua Yan, Jin Chen, Fang-Xiang Wu, Jianxin Wang
2021	—	`conf`	nPTAS: A Novel Platform for Text Annotation and Service. BIBM Xuehong Wu, Junwen Duan, Jianhua Li, Min Li
2020	—	`conf`	A robust single cell clustering method based on subspace learning and partial imputation. BIBM Ruiqing Zheng, Zhenlan Liang, Xiangmao Meng, Yu Tian, Min Li
2020	—	`conf`	A topological AUC-based biomarker ensemble method for the complex disease analysis. BIBM Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li
2020	J	`jnl`	An Efficient Trimming Algorithm based on Multi-Feature Fusion Scoring Model for NGS Data. IEEE ACM Trans. Comput. Biol. Bioinform. Xingyu Liao, Min Li, You Zou, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2020	J	`jnl`	CircR2Cancer: a manually curated database of associations between circRNAs and cancers. Database J. Biol. Databases Curation Wei Lan, Mingrui Zhu, Qingfeng Chen, Baoshan Chen, Jin Liu, Min Li, Yi-Ping Phoebe Chen
2020	J	`jnl`	DeepFrag-k: a fragment-based deep learning approach for protein fold recognition. BMC Bioinform. Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang 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`	GapReduce: A Gap Filling Algorithm Based on Partitioned Read Sets. IEEE ACM Trans. Comput. Biol. Bioinform. Junwei Luo, Jianxin Wang, Juan Shang, Huimin Luo, Min Li, Fang-Xiang Wu, Yi Pan
2020	J	`jnl`	Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Xiangmao Meng, Ruiqing Zheng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
2020	J	`jnl`	Improving de novo Assembly Based on Read Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang
2020	J	`jnl`	MADA: a web service for analysing DNA methylation array data. BMC Bioinform. Xinyu Hu, Li Tang, Linconghua Wang, Fang-Xiang Wu, Min Li
2020	J	`jnl`	MEC: Misassembly Error Correction in Contigs based on Distribution of Paired-End Reads and Statistics of GC-contents. IEEE ACM Trans. Comput. Biol. Bioinform. Binbin Wu, Min Li, Xingyu Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang
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`	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
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
2020	—	`conf`	SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control. ISBRA Hao Gao, Min Li, Fang-Xiang Wu
2020	J	`jnl`	United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. Gaoshi Li, Min Li, Jianxin Wang, Yaohang Li, Yi Pan
2020	J	`jnl`	miRTMC: A miRNA Target Prediction Method Based on Matrix Completion Algorithm. IEEE J. Biomed. Health Informatics Hui Jiang, Mengyun Yang, Xiang Chen, Min Li, Yaohang Li, Jianxin Wang
2020	J	`jnl`	miRTRS: A Recommendation Algorithm for Predicting miRNA Targets. IEEE ACM Trans. Comput. Biol. Bioinform. Hui Jiang, Jianxin Wang, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan
2019	J	`jnl`	A Novel Scaffolding Algorithm Based on Contig Error Correction and Path Extension. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Li Tang, Zhongxiang Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang
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 code assignment of Chinese clinical notes based on multilayer attention BiRNN. J. Biomed. Informatics Ying Yu, Min Li, Liangliang Liu, Zhihui Fei, Fang-Xiang Wu, 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`	BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks. Bioinform. Ruiqing Zheng, Min Li, Xiang Chen, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	—	`ed.`	Bioinformatics Research and Applications - 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3-6, 2019, Proceedings ISBRA Zhipeng Cai, Pavel Skums, Min Li
2019	J	`jnl`	CSA: a web service for the complete process of ChIP-Seq analysis. BMC Bioinform. Min Li, Li Tang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	—	`conf`	Classification of Schizophrenia by Iterative Random Forest Feature Selection Based on DNA Methylation Array Data. BIBM Xinyu Hu, Min Li, Linconghua Wang, Xingyi Li, Fang-Xiang Wu, Jianxin Wang
2019	J	`jnl`	Clinical big data and deep learning: Applications, challenges, and future outlooks. Big Data Min. Anal. Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang
2019	J	`jnl`	Computational Drug Repositioning with Random Walk on a Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Peng Ni, Kaijie Zhao, Fang-Xiang Wu, Yi Pan
2019	J	`jnl`	Construction of Refined Protein Interaction Network for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Peng Ni, Xiaopei Chen, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2019	J	`jnl`	Control principles for complex biological networks. Briefings Bioinform. Min Li, Hao Gao, Jianxin Wang, Fang-Xiang Wu
2019	J	`jnl`	Controllability and Its Applications to Biological Networks. J. Comput. Sci. Technol. Lin Wu, Min Li, Jianxin Wang, Fang-Xiang Wu
2019	J	`jnl`	Correlation Analysis of Mental Health Status and Sleep Quality in Helicobacter pylori Positive Patients. J. Medical Imaging Health Informatics Min Li, Cai-Feng Luo
2019	J	`jnl`	Current challenges and solutions of de novo assembly. Quant. Biol. Xingyu Liao, Min Li, You Zou, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	J	`jnl`	Decoding the Structural Keywords in Protein Structure Universe. J. Comput. Sci. Technol. Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
2019	J	`jnl`	Deep learning for biological/clinical data. Neurocomputing Fang-Xiang Wu, Min Li
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`	Detecting protein complex based on hierarchical compressing network embedding. BIBM Xiangmao Meng, Xiaoqing Peng, Fang-Xiang Wu, Min Li
2019	—	`conf`	DoRC: Discovery of rare cells from ultra-large scRNA-seq data. BIBM Xiang Chen, Fang-Xiang Wu, Jin Chen, Min Li
2019	—	`conf`	DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis. BIBM Xingyi Li, Ju Xiang, Xinyu Hu, Fang-Xiang Wu, Min Li
2019	—	`conf`	HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding. BIBM Zhangli Lu, Yake Wang, Min Zeng, Min Li
2019	—	`conf`	Identification of Prognostic and Heterogeneous Breast Cancer Biomarkers Based on Fusion Network and Multiple Scoring Strategies. ICIC (2) Xingyi Li, Ju Xiang, Jianxin Wang, Fang-Xiang Wu, 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
2019	J	`jnl`	MGT-SM: A Method for Constructing Cellular Signal Transduction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Ruiqing Zheng, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2019	J	`jnl`	SCOP: a novel scaffolding algorithm based on contig classification and optimization. Bioinform. Min Li, Li Tang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	J	`jnl`	SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation. Bioinform. Ruiqing Zheng, Min Li, Zhenlan Liang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	—	`conf`	Tentative diagnosis prediction via deep understanding of patient narratives. BIBM Ying Yu, Min Li, Liangliang Liu, Fang-Xiang Wu, Jianxin Wang
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
2018	J	`jnl`	A survey of matrix completion methods for recommendation systems. Big Data Min. Anal. Andy Ramlatchan, Mengyun Yang, Quan Liu, Min Li, Jianxin Wang, Yaohang 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`	Biomolecular Networks for Complex Diseases. Complex. Fang-Xiang Wu, Jianxin Wang, Min Li, Haiying Wang
2018	J	`jnl`	Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network. IEEE ACM Trans. Comput. Biol. Bioinform. Jin Liu, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2018	J	`jnl`	Computational drug repositioning using low-rank matrix approximation and randomized algorithms. Bioinform. Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Yaohang Li, Jianxin Wang
2018	J	`jnl`	CytoCtrlAnalyser: a Cytoscape app for biomolecular network controllability analysis. Bioinform. Lin Wu, Min Li, Jianxin Wang, Fang-Xiang Wu
2018	—	`conf`	Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network. BIBM Donglin Guo, Min Li, Ying Yu, Yaohang Li, Guihua Duan, Fang-Xiang Wu, Jianxin Wang
2018	J	`jnl`	DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization. Bioinform. Min Li, Jie Yang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2018	—	`conf`	Multi-scale Deep Convolutional Neural Network for Stroke Lesions Segmentation on CT Images. BrainLes@MICCAI (1) Liangliang Liu, Shuai Yang, Li Meng, Min Li, Jianxin Wang
2018	—	`conf`	PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks. ISBRA Siyu Zhao, Ruiqing Zheng, Xiang Chen, Yaohang Li, Fang-Xiang Wu, Min Li
2018	J	`jnl`	Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fang-Xiang Wu, Yi Pan
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
2018	—	`conf`	Sprites2: Detection of Deletions Based on an Accurate Alignment Strategy. ISBRA Zhen Zhang, Jianxin Wang, Junwei Luo, Juan Shang, Min Li, Fang-Xiang Wu, Yi Pan
2018	—	`conf`	Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines. ICIC (2) Yake Wang, Min Li, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2017	—	`conf`	An interpretable model for predicting side effects of analgesics for osteoarthritis. BIBM Liangliang Liu, Jianxin Wang, Min Li, Fang-Xiang Wu, Hong-Dong Li, Ying Yu, Zhihui Fei
2017	J	`jnl`	BOSS: a novel scaffolding algorithm based on an optimized scaffold graph. Bioinform. Junwei Luo, Jianxin Wang, Zhen Zhang, Min Li, Fang-Xiang Wu
2017	—	`ed.`	Bioinformatics Research and Applications - 13th International Symposium, ISBRA 2017, Honolulu, HI, USA, May 29 - June 2, 2017, Proceedings ISBRA Zhipeng Cai, Ovidiu Daescu, Min Li
2017	J	`jnl`	Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complex. Jin Liu, Min Li, Yi Pan, Wei Lan, Ruiqing Zheng, Fang-Xiang Wu, Jianxin Wang
2017	—	`conf`	Construction of Protein Backbone Fragments Libraries on Large Protein Sets Using a Randomized Spectral Clustering Algorithm. ISBRA Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
2017	—	`ed.`	Data Science - Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017, Proceedings, Part I ICPCSEE (1) Beiji Zou, Min Li, Hongzhi Wang, Xianhua Song, Wei Xie, Zeguang Lu
2017	J	`jnl`	ISEA: Iterative Seed-Extension Algorithm for De Novo Assembly Using Paired-End Information and Insert Size Distribution. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Zhongxiang Liao, Yiming He, Jianxin Wang, Junwei Luo, Yi Pan
2017	J	`jnl`	LDAP: a web server for lncRNA-disease association prediction. Bioinform. Wei Lan, Min Li, Kaijie Zhao, Jin Liu, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2017	—	`conf`	LSLS: A Novel Scaffolding Method Based on Path Extension. ICIC (2) Min Li, Li Tang, Zhongxiang Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2017	—	`conf`	MEC: Misassembly error correction in contigs using a combination of paired-end reads and GC-contents. BIBM Binbin Wu, Jianxin Wang, Junwei Luo, Min Li, Fang-Xiang Wu, Yi Pan
2017	J	`jnl`	PECC: Correcting contigs based on paired-end read distribution. Comput. Biol. Chem. Min Li, Binbin Wu, Xiaodong Yan, Junwei Luo, Yi Pan, Fang-Xiang Wu, Jianxin Wang
2017	J	`jnl`	Predicting Protein Functions by Using Unbalanced Random Walk Algorithm on Three Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Peng, Min Li, Lu Chen, Lusheng Wang
2017	J	`jnl`	Protein Inference from the Integration of Tandem MS Data and Interactome Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Jiancheng Zhong, Jianxin Wang, Xiaojun Ding, Zhen Zhang, Min Li, Fang-Xiang Wu, Yi Pan
2017	—	`conf`	Relating Diseases Based on Disease Module Theory. ISBRA Peng Ni, Min Li, Ping Zhong, Guihua Duan, Jianxin Wang, Yaohang Li, Fang-Xiang Wu
2017	J	`jnl`	United Complex Centrality for Identification of Essential Proteins from PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Yu Lu, Zhibei Niu, Fang-Xiang Wu
2017	J	`jnl`	VAliBS: a visual aligner for bisulfite sequences. BMC Bioinform. Min Li, Ping Huang, Xiaodong Yan, Jianxin Wang, Yi Pan, Fang-Xiang Wu
2016	—	`conf`	An Apache Spark Implementation of Block Power Method for Computing Dominant Eigenvalues and Eigenvectors of Large-Scale Matrices. BDCloud-SocialCom-SustainCom Hao Ji, Seth H. Weinberg, Min Li, Jianxin Wang, Yaohang Li
2016	J	`jnl`	C-DEVA: Detection, evaluation, visualization and annotation of clusters from biological networks. Biosyst. Min Li, Yu Tang, Xuehong Wu, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2016	—	`conf`	Construction of the spatial and temporal active protein interaction network for identifying protein complexes. BIBM Xiangmao Meng, Min Li, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2016	J	`jnl`	Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm. Bioinform. Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Xiaoqing Peng, Fang-Xiang Wu, Yi Pan
2016	J	`jnl`	FLEXc: protein flexibility prediction using context-based statistics, predicted structural features, and sequence information. BMC Bioinform. Ashraf Yaseen, Mais Nijim, Brandon Williams, Lei Qian, Min Li, Jianxin Wang, Yaohang Li
2016	J	`jnl`	HybridDock: A Hybrid Protein-Ligand Docking Protocol Integrating Protein- and Ligand-Based Approaches. J. Chem. Inf. Model. Sheng-You Huang, Min Li, Jianxin Wang, Yi Pan
2016	—	`conf`	Identifying Essential Proteins by Purifying Protein Interaction Networks. ISBRA Min Li, Xiaopei Chen, Peng Ni, Jianxin Wang, Yi Pan
2016	J	`jnl`	Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fang-Xiang Wu, Yi Pan
2016	J	`jnl`	Predicting essential proteins based on subcellular localization, orthology and PPI networks. BMC Bioinform. Gaoshi Li, Min Li, Jianxin Wang, Jingli Wu, Fang-Xiang Wu, Yi Pan
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
2016	—	`conf`	The MSS of complex networks with centrality based preference and its application to biomolecular networks. BIBM Lin Wu, Lingkai Tang, Min Li, Jianxin Wang, Fang-Xiang Wu
2015	J	`jnl`	A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Yu Lu, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2015	—	`conf`	A two-step logistic regression algorithm for identifying individual-cancer-related genes. BIBM Bolin Chen, Xuequn Shang, Min Li, Jianxin Wang, Fang-Xiang Wu
2015	J	`jnl`	ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network. IEEE ACM Trans. Comput. Biol. Bioinform. Jianxin Wang, Jiancheng Zhong, Gang Chen, Min Li, Fang-Xiang Wu, Yi Pan
2015	J	`jnl`	CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks. Biosyst. Yu Tang, Min Li, Jianxin Wang, Yi Pan, Fang-Xiang Wu
2015	J	`jnl`	Discovering essential proteins based on PPI network and protein complex. Int. J. Data Min. Bioinform. Jun Ren, Jianxin Wang, Min Li, Fang-Xiang Wu
2015	J	`jnl`	EPGA2: memory-efficient Bioinform. Junwei Luo, Jianxin Wang, Weilong Li, Zhen Zhang, Fang-Xiang Wu, Min Li, Yi Pan
2015	J	`jnl`	EPGA: Bioinform. Junwei Luo, Jianxin Wang, Zhen Zhang, Fang-Xiang Wu, Min Li, Yi Pan
2015	J	`jnl`	Identifying protein complexes based on the integration of PPI network and gene expression data. Int. J. Bioinform. Res. Appl. Weijie Chen, Min Li, Xuehong Wu, Jianxin Wang
2015	—	`conf`	Predicting microRNA-disease associations by integrating multiple biological information. BIBM Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yi Pan
2015	J	`jnl`	Proteins involved in more domain types tend to be more essential. Int. J. Bioinform. Res. Appl. Lu Chen, Yingjiao Cheng, Min Li, Jianxin Wang
2015	J	`jnl`	Re-alignment of the unmapped reads with base quality score. BMC Bioinform. Xiaoqing Peng, Jianxin Wang, Zhen Zhang, Qianghua Xiao, Min Li, Yi Pan
2014	—	`conf`	A logistic regression based algorithm for identifying human disease genes. BIBM Bolin Chen, Min Li, Jianxin Wang, Fang-Xiang Wu
2014	J	`jnl`	Detecting Protein Complexes Basedon Uncertain Graph Model. IEEE ACM Trans. Comput. Biol. Bioinform. Bihai Zhao, Jianxin Wang, Min Li, Fang-Xiang Wu, Yi Pan
2014	—	`conf`	Drug Target Identification Based on Structural Output Controllability of Complex Networks. ISBRA Lin Wu, Yichao Shen, Min Li, Fang-Xiang Wu
2014	—	`conf`	Identification of Essential Proteins by Using Complexes and Interaction Network. ISBRA Min Li, Yu Lu, Zhibei Niu, Fang-Xiang Wu, Yi Pan
2014	J	`jnl`	Improving protein function prediction using domain and protein complexes in PPI networks. BMC Syst. Biol. Wei Peng, Jianxin Wang, Juan Cai, Lu Chen, Min Li, Fang-Xiang Wu
2014	J	`jnl`	Prediction of disease genes using tissue-specified gene-gene network. BMC Syst. Biol. Gamage Upeksha Ganegoda, Jianxin Wang, Fang-Xiang Wu, Min Li
2014	—	`conf`	Searching SNP Combinations Related to Evolutionary Information of Human Populations on HapMap Data. ISBRA Xiaojun Ding, Haihua Gu, Zhen Zhang, Min Li, Fang-Xiang Wu
2013	—	`conf`	A clustering algorithm for identifying hierarchical and overlapping protein complexes in large PPI networks. BIBM Jun Ren, Jianxin Wang, Min Li
2013	—	`conf`	A new method for predicting essential proteins based on topology potential. BIBM Yu Lu, Min Li, Qi Li, Yi Pan, Jianxin Wang
2013	—	`conf`	A novel algorithm for mining protein complex from the weighted network. BIBM Xiwei Tang, Jianxin Wang, Min Li, Yiming He, Yi Pan
2013	J	`jnl`	An effective method for refining predicted protein complexes based on protein activity and the mechanism of protein complex formation. BMC Syst. Biol. Jianxin Wang, Xiaoqing Peng, Qianghua Xiao, Min Li, Yi Pan
2013	J	`jnl`	Identification of Essential proteins from Weighted protein-protein Interaction Networks. J. Bioinform. Comput. Biol. Min Li, Jianxin Wang, Huan Wang, Yi Pan
2013	—	`conf`	Identifying dynamic protein complexes based on gene expression profiles and PPI networks. BIBM Min Li, Weijie Chen, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2013	J	`jnl`	Identifying protein complexes based on density and modularity in protein-protein interaction network. BMC Syst. Biol. Jun Ren, Jianxin Wang, Min Li, Lusheng Wang
2013	—	`conf`	Prioritization of candidate genes based on disease similarity and protein's proximity in PPI networks. BIBM Gamage Upeksha Ganegoda, Jianxin Wang, Fang-Xiang Wu, Min Li
2012	J	`jnl`	A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data. BMC Syst. Biol. Min Li, Hanhui Zhang, Jianxin Wang, Yi Pan
2012	J	`jnl`	Identification of Essential Proteins Based on Edge Clustering Coefficient. IEEE ACM Trans. Comput. Biol. Bioinform. Jianxin Wang, Min Li, Huan Wang, Yi Pan
2012	—	`conf`	Identifying protein complexes based on local fitness method. BIBM Jun Ren, Jianxin Wang, Min Li
2012	—	`conf`	Sparse kernel logistic regression for β-turns prediction. ISB Murtada Khalafallah Elbashir, Jianxin Wang, Fang-Xiang Wu, Min Li
2012	J	`jnl`	Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data. BMC Bioinform. Min Li, Xuehong Wu, Jianxin Wang, Yi Pan
2011	J	`jnl`	A Fast Hierarchical Clustering Algorithm for Functional Modules Discovery in Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Jianxin Wang, Min Li, Jianer Chen, Yi Pan
2011	—	`conf`	A New Measurement for Evaluating Clusters in Protein Interaction Networks. BIBM Min Li, Xuehong Wu, Jianxin Wang, Yi Pan
2011	—	`conf`	A New Method for Identifying Essential Proteins Based on Edge Clustering Coefficient. ISBRA Huan Wang, Min Li, Jianxin Wang, Yi Pan
2011	J	`jnl`	A comparison of the functional modules identified from time course and static PPI network data. BMC Bioinform. Xiwei Tang, Jianxin Wang, Binbin Liu, Min Li, Gang Chen, Yi Pan
2011	J	`jnl`	A local average connectivity-based method for identifying essential proteins from the network level. Comput. Biol. Chem. Min Li, Jianxin Wang, Xiang Chen, Huan Wang, Yi Pan
2011	—	`conf`	Active Protein Interaction Network and Its Application on Protein Complex Detection. BIBM Jianxin Wang, Xiaoqing Peng, Min Li, Yong Luo, Yi Pan
2011	J	`jnl`	Biological network motif detection and evaluation. BMC Syst. Biol. Wooyoung Kim, Min Li, Jianxin Wang, Yi Pan
2011	—	`conf`	Essential Protein Discovery Based on Network Motif and Gene Ontology. BIBM Wooyoung Kim, Min Li, Jianxin Wang, Yi Pan
2011	J	`jnl`	Integration of breast cancer gene signatures based on graph centrality. BMC Syst. Biol. Jianxin Wang, Gang Chen, Min Li, Yi Pan
2011	—	`conf`	Prediction of Essential Proteins by Integration of PPI Network Topology and Protein Complexes Information. ISBRA Jun Ren, Jianxin Wang, Min Li, Huan Wang, Binbin Liu
2010	—	`conf`	An Agglomerate Algorithm for Mining Overlapping and Hierarchical Functional Modules in Protein Interaction Networks. ISBRA Jun Ren, Jianxin Wang, Jianer Chen, Min Li, Gang Chen
2010	—	`conf`	Essential Proteins Discovery from Weighted Protein Interaction Networks. ISBRA Min Li, Jianxin Wang, Huan Wang, Yi Pan
2010	J	`jnl`	Identifying the overlapping complexes in protein interaction networks. Int. J. Data Min. Bioinform. Min Li, Jianxin Wang, Jianer Chen, Zhao Cai, Gang Chen
2009	—	`conf`	GO Semantic Similarity Based Analysis for Huaman Protein Interactions. IJCBS Gang Chen, Jianxin Wang, Min Li
2009	—	`conf`	GO Semantic Similarity-Based False Positive Reduction of Protein-Protein Interactions. IJCBS Jianxin Wang, Lijian Dai, Min Li
2009	—	`conf`	Hierarchical Organization of Functional Modules in Weighted Protein Interaction Networks Using Clustering Coefficient. ISBRA Min Li, Jianxin Wang, Jianer Chen, Yi Pan
2008	—	`conf`	A Fast Agglomerate Algorithm for Mining Functional Modules in Protein Interaction Networks. BMEI (1) Min Li, Jianxin Wang, Jianer Chen
2008	—	`conf`	A Graph-Theoretic Method for Mining Overlapping Functional Modules in Protein Interaction Networks. ISBRA Min Li, Jianxin Wang, Jianer Chen
2008	—	`conf`	An Improved Method Based on Maximal Clique for Predicting Interactions in Protein Interaction Networks. BMEI (1) Jianxin Wang, Zhao Cai, Min Li
2008	—	`conf`	Greedily Mining l-dense Subgraphs in Protein Interaction Networks. ICYCS Min Li, Jianxin Wang, Jianer Chen, Bin Hu
2008	J	`jnl`	Modifying the DPClus algorithm for identifying protein complexes based on new topological structures. BMC Bioinform. Min Li, Jianer Chen, Jianxin Wang, Bin Hu, Gang Chen