A Logical Framework for Knowledge Sharing in Multi-agent Systems. - Kaile Su; Xudong Luo; Huaiqing Wang; Chengqi Zhang; Shichao Zhang 001; Qingfeng Chen (COCOON, 2001)

Verifying the Purchase Request in SET Protocol. - Qingfeng Chen; Chengqi Zhang; Shichao Zhang 001; Chunsheng Li (APWeb, 2003)

Verifying the Payment Authorization in SET Protocol. - Qingfeng Chen; Chengqi Zhang; Shichao Zhang 001 (IDEAL, 2003)

A Verification Model for Electronic Transaction Protocols. - Qingfeng Chen; Chengqi Zhang; Shichao Zhang 001 (APWeb, 2004)

Dealing with Inconsistent Secure Messages. - Qingfeng Chen; Shichao Zhang 001 (PRICAI, 2004)

Analyzing Security Protocols Using Association Rule Mining. - Qingfeng Chen; Yi-Ping Phoebe Chen (Australian Conference on Artificial Intelligence, 2005)

A Framework for Merging Inconsistent Beliefs in Security Protocol Analysis. - Qingfeng Chen; Yi-Ping Phoebe Chen; Chengqi Zhang; Shichao Zhang 001 (DEEC, 2005)

ENDL: A Logical Framework for Verifying Secure Transaction Protocols. - Qingfeng Chen; Chengqi Zhang; Shichao Zhang 001 (Knowl. Inf. Syst., 2005)

Analyzing Inconsistency Toward Enhancing Integration of Biological Molecular Databases. - Yi-Ping Phoebe Chen; Qingfeng Chen (APBC, 2006)

Detecting Collusion Attacks in Security Protocols. - Qingfeng Chen; Yi-Ping Phoebe Chen; Shichao Zhang 001; Chengqi Zhang (APWeb, 2006)

Mining Frequent Itemsets for Protein Kinase Regulation. - Qingfeng Chen; Yi-Ping Phoebe Chen; Chengqi Zhang; Lianggang Li (PRICAI, 2006)

Mining frequent patterns for AMP-activated protein kinase regulation on skeletal muscle. - Qingfeng Chen; Yi-Ping Phoebe Chen (BMC Bioinform., 2006)

Learning Dependency Model for AMP-Activated Protein Kinase Regulation. - Yi-Ping Phoebe Chen; Qiumei Qin; Qingfeng Chen (KSEM, 2007)

Identifying Dependency Between Secure Messages for Protocol Analysis. - Qingfeng Chen; Shichao Zhang 001; Yi-Ping Phoebe Chen (KSEM, 2007)

Detecting inconsistency in biological molecular databases using ontologies. - Qingfeng Chen; Yi-Ping Phoebe Chen; Chengqi Zhang (Data Min. Knowl. Discov., 2007)

Secure Transaction Protocol Analysis: Models and Applications - Qingfeng Chen; Chengqi Zhang; Shichao Zhang 001 (Springer, 2008)

Rule-based dependency models for security protocol analysis. - Qingfeng Chen; Shichao Zhang 001; Yi-Ping Phoebe Chen (Integr. Comput. Aided Eng., 2008)

Discovery of Structural and Functional Features in RNA Pseudoknots. - Qingfeng Chen; Yi-Ping Phoebe Chen (IEEE Trans. Knowl. Data Eng., 2009)

Acquiring knowledge from inconsistent data sources through weighting. - Shichao Zhang 001; Qingfeng Chen; Qiang Yang 001 (Data Knowl. Eng., 2010)

Mining characteristic relations bind to RNA secondary structures. - Qingfeng Chen; Yi-Ping Phoebe Chen (IEEE Trans. Inf. Technol. Biomed., 2010)

Discovery of MicroRNA conservative sites in drosophila melanogaster. - Wei Lan; Qingfeng Chen; Taoshen Li (BMEI, 2011)

Dealing with inconsistent secure messages by weighting majority. - Qingfeng Chen; Shichao Zhang 001; Zhi Zhong (Knowl. Based Syst., 2011)

Modeling Conserved Structure Patterns for Functional Noncoding RNA. - Qingfeng Chen; Yi-Ping Phoebe Chen (IEEE Trans. Biomed. Eng., 2011)

Function Annotation for Pseudoknot Using Structure Similarity. - Qingfeng Chen; Yi-Ping Phoebe Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Discovering Inhibition Pathways for Protein Kinases. - Qingfeng Chen; Yi-Ping Phoebe Chen (IEEE Intell. Syst., 2012)

Convergence of gradient method with penalty for Ridge Polynomial neural network. - Xin Yu 011; Qingfeng Chen (Neurocomputing, 2012)

Mining Featured Patterns of MiRNA Interaction Based on Sequence and Structure Similarity. - Qingfeng Chen; Wei Lan; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Research on the Projection Position-Based Sequential Pattern Mining Algorithm. - Taoshen Li; Weina Wang 005; Qingfeng Chen (Control. Intell. Syst., 2014)

Monotonicity and convergence of asynchronous update gradient method for ridge polynomial neural network. - Xin Yu 011; Lixia Tang; Qingfeng Chen; Chenhua Xu (Neurocomputing, 2014)

Depth-First Search Encoding of RNA Substructures. - Qingfeng Chen; Chaowang Lan; Jinyan Li 001; Baoshan Chen; Lusheng Wang 001; Chengqi Zhang (ICIC (1), 2016)

Grouping miRNAs of similar functions via weighted information content of gene ontology. - Chaowang Lan; Qingfeng Chen; Jinyan Li 001 (BMC Bioinform., 2016)

Interval-Based Similarity for Classifying Conserved RNA Secondary Structures. - Qingfeng Chen; Yi-Ping Phoebe Chen; Chengqi Zhang (IEEE Intell. Syst., 2016)

Human gait recognition based on deterministic learning through multiple views fusion. - Muqing Deng; Cong Wang 007; Qingfeng Chen (Pattern Recognit. Lett., 2016)

MapReduce for accurate error correction of next-generation sequencing data. - Liang Zhao; Qingfeng Chen; Wencui Li; Peng Jiang; Limsoon Wong; Jinyan Li 001 (Bioinform., 2017)

Visual phrase recognition by modeling 3D spatial context of multiple objects. - Lin Bai; Qingfeng Chen (Neurocomputing, 2017)

Using propensity scores to predict the kinases of unannotated phosphopeptides. - Qingfeng Chen; Yiqi Wang 008; Baoshan Chen; Chengqi Zhang; Lusheng Wang 001; Jinyan Li 001 (Knowl. Based Syst., 2017)

Exploring Consensus RNA Substructural Patterns Using Subgraph Mining. - Qingfeng Chen; Chaowang Lan; Baoshan Chen; Lusheng Wang 001; Jinyan Li 001; Chengqi Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk. - Canshang Deng; Qingfeng Chen; Zhixian Liu; Ruiqing Zheng; Jin Liu 012; Jianxin Wang 001; Wei Lan (ISBRA, 2018)

ProBAPred: Inferring protein-protein binding affinity by incorporating protein sequence and structural features. - Bangli Lu; Chen Li 021; Qingfeng Chen; Jiangning Song (J. Bioinform. Comput. Biol., 2018)

Privacy-preserving decision tree for epistasis detection. - Qingfeng Chen; Xu Zhang; Ruchang Zhang (Cybersecur., 2019)

Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network. - Qingfeng Chen; Canshang Deng; Wei Lan; Zhixian Liu; Ruiqing Zheng; Jin Liu 012; Jianxin Wang 001 (J. Comput. Biol., 2019)

Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity. - Qingfeng Chen; Zhao Zhe; Wei Lan; Ruchang Zhang; Zhiqiang Wang; Cheng Luo; Yi-Ping Phoebe Chen (Quant. Biol., 2019)

CircR2Cancer: a manually curated database of associations between circRNAs and cancers. - Wei Lan; Mingrui Zhu; Qingfeng Chen; Baoshan Chen; Jin Liu 012; Min Li 007; Yi-Ping Phoebe Chen (Database J. Biol. Databases Curation, 2020)

Inferring LncRNA-disease associations based on graph autoencoder matrix completion. - Ximin Wu; Wei Lan; Qingfeng Chen; Yi Dong; Jin Liu 012; Wei Peng 004 (Comput. Biol. Chem., 2020)

Community detection in complex network based on APT method. - Qingfeng Chen; Yulu Qiao; Fang Hu 001; Yongjie Li; Kai Tan; Mingrui Zhu; Chengqi Zhang (Pattern Recognit. Lett., 2020)

Erratum to: Identifying miRNA-disease association based on integrating miRNA topological similarity and functional similarity. - Qingfeng Chen; Zhao Zhe; Wei Lan; Ruchang Zhang; Zhiqiang Wang; Cheng Luo; Yi-Ping Phoebe Chen (Quant. Biol., 2020)

Classifying Conserved RNA Secondary Structures With Pseudoknots by Vector-Edit Distance. - Liyu Huang; Qingfeng Chen; Yongjie Li; Cheng Luo (IEEE Access, 2021)

Co-mutation modules capture the evolution and transmission patterns of SARS-CoV-2. - Luyao Qin; Xiao Ding; Yongjie Li; Qingfeng Chen; Jing Meng; Taijiao Jiang (Briefings Bioinform., 2021)

Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility. - Hongtao Tang; Senli Ren; Weiguang Jiang; Jiajiong Liang; Qingfeng Chen (Comput. Intell. Neurosci., 2021)

Prediction of circRNA-miRNA Associations Based on Network Embedding. - Wei Lan; Mingrui Zhu; Qingfeng Chen; Jianwei Chen; Jin Ye 003; Jin Liu 012; Wei Peng 004; Shirui Pan (Complex., 2021)

ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion. - Qingfeng Chen; Dehuan Lai; Wei Lan; Ximin Wu; Baoshan Chen; Jin Liu 012; Yi-Ping Phoebe Chen; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

scIAC: clustering scATAC-seq data based on Student's t-distribution similarity imputation and denoising autoencoder. - Wei Lan; Jin Ye; Xun Sun; Xiaoshu Zhu; Qingfeng Chen; Yi Pan 001 (BIBM, 2022)

Neural Networks Implemented by Differential Evolutionary Algorithms to Counter Attacks. - Qingfeng Chen; Jing Wu 019; Jing Liu 032; Yu Han (CSCloud/EdgeCom, 2022)

Stable Causal Feature Selection based on Direct Causal Effect Estimation. - Xiaojing Du; Qingfeng Chen; Debo Cheng; Qian Huang; Junyue Cao; Zhenyun Deng; Shichao Zhang 001 (HPCC/DSS/SmartCity/DependSys, 2022)

Multi-layer LSTM Parallel Optimization Based on Hardware and Software Cooperation. - Qingfeng Chen; Jing Wu 019; Feihu Huang 003; Yu Han; Qiming Zhao (KSEM (2), 2022)

Optimization of Multi-Objective Unequal Area Facility Layout. - Hongtao Tang; Senli Ren; Weiguang Jiang; Qingfeng Chen (IEEE Access, 2022)

KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. - Wei Lan; Yi Dong; Qingfeng Chen; Ruiqing Zheng; Jin Liu 012; Yi Pan 001; Yi-Ping Phoebe Chen (Briefings Bioinform., 2022)

GANLDA: Graph attention network for lncRNA-disease associations prediction. - Wei Lan; Ximin Wu; Qingfeng Chen; Wei Peng 004; Jianxin Wang 001; Yi-Ping Phoebe Chen (Neurocomputing, 2022)

IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. - Wei Lan; Yi Dong; Qingfeng Chen; Jin Liu 012; Jianxin Wang 001; Yi-Ping Phoebe Chen; Shirui Pan (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning. - Wei Lan; Dehuan Lai; Qingfeng Chen; Ximin Wu; Baoshan Chen; Jin Liu 012; Jianxin Wang 001; Yi-Ping Phoebe Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Defense Against Adversarial Attack on Knowledge Graph Embedding. - Yuxiao Zhang; Qingfeng Chen; Xinkun Hao; Haiming Pan; Qian Yu; Kexin Huang (Emerging Trends in Cybersecurity Applications, 2023)

Multi-fusion Recurrent Network for Argument Pair Extraction. - Naixu He; Qingfeng Chen; Qian Yu; Zongzhao Han (ICANN (6), 2023)

Benchmarking of computational methods for predicting circRNA-disease associations. - Wei Lan; Yi Dong; Hongyu Zhang; Chunling Li; Qingfeng Chen; Jin Liu 012; Jianxin Wang 001; Yi-Ping Phoebe Chen (Briefings Bioinform., 2023)

Breast cancer diagnosis using hybrid AlexNet-ELM and chimp optimization algorithm evolved by Nelder-mead simplex approach. - Junyue Cao; Diyar Qader Zeebaree; Qingfeng Chen; Dilovan Asaad Zebari (Biomed. Signal Process. Control., 2023)

Predicting drug-drug interactions based on multi-view and multichannel attention deep learning. - Liyu Huang; Qingfeng Chen; Wei Lan (Health Inf. Sci. Syst., 2023)

Anomaly Detection in Dynamic Graphs via Transformer. - Yixin Liu 001; Shirui Pan; Yu Guang Wang 001; Fei Xiong; Liang Wang 017; Qingfeng Chen; Vincent Cheng-Siong Lee (IEEE Trans. Knowl. Data Eng., 2023)

Association Analysis Techniques and Applications in Bioinformatics - Qingfeng Chen (Springer, 2024)

GCLNSTDA: Predicting tsRNA-Disease Association Based on Contrastive Learning and Negative Sampling. - Wei Lan; Wenyi Chen; Chunling Li; Qingfeng Chen; Yi-Ping Phoebe Chen; Yi Pan 001 (BCB, 2024)

Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. - Shiyuan Li; Yixin Liu 001; Qingfeng Chen; Geoffrey I. Webb; Shirui Pan (CIKM, 2024)

A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. - Qingfeng Chen; Boquan Wei; Debo Cheng; Jiuyong Li; Lin Liu 003; Shichao Zhang 001 (ICDM, 2024)

Single-Cell Multi-omics Clustering Algorithm Based on Adaptive Weighted Hyper-laplacian Regularization. - Wei Lan; Shengzu Huang; Xun Sun; Haibo Liao; Qingfeng Chen; Junyue Cao (ISBRA (2), 2024)

Modeling Single-Cell ATAC-Seq Data Based on Contrastive Learning. - Wei Lan; Weihao Zhou; Qingfeng Chen; Ruiqing Zheng; Yi Pan 001; Yi-Ping Phoebe Chen (ISBRA (1), 2024)

ARC: A Generalist Graph Anomaly Detector with In-Context Learning. - Yixin Liu 001; Shiyuan Li; Yu Zheng 013; Qingfeng Chen; Chengqi Zhang; Shirui Pan (NeurIPS, 2024)

MIT: Multi-cue Injected Transformer for Two-Stage HOI Detection. - Weilong Peng; Qingfeng Chen; Keke Tang; Zhihao Yang; Meng Xing; Meie Fang (PRCV (7), 2024)

SSLDTI: A novel method for drug-target interaction prediction based on self-supervised learning. - Zhixian Liu; Qingfeng Chen; Wei Lan; Huihui Lu; Shichao Zhang (Artif. Intell. Medicine, 2024)

DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery. - Wei Lan; Haibo Liao; Qingfeng Chen; Lingzhi Zhu; Yi Pan 001; Yi-Ping Phoebe Chen (Briefings Bioinform., 2024)

IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretability. - Zhanyu Xu; Haibo Liao; Liuliu Huang; Qingfeng Chen; Wei Lan; Shikang Li (Briefings Bioinform., 2024)

Transformer-Based Single-Cell Language Model: A Survey. - Wei Lan; Guohang He; Mingyang Liu; Qingfeng Chen; Junyue Cao; Wei Peng 004 (Big Data Min. Anal., 2024)

Mitigating Dual Latent Confounding Biases in Recommender Systems. - Jianfeng Deng; Qingfeng Chen; Debo Cheng; Jiuyong Li; Lin Liu 003; Xiaojing Du (CoRR, 2024)

A Survey of Hallucination in Large Visual Language Models. - Wei Lan; Wenyi Chen; Qingfeng Chen; Shirui Pan; Huiyu Zhou 001; Yi Pan 001 (CoRR, 2024)

Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only. - Shiyuan Li; Qingfeng Chen; Zhixian Liu; Shirui Pan; Shichao Zhang 001 (Knowl. Based Syst., 2024)

scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis. - Wei Lan; Tongsheng Ling; Qingfeng Chen; Ruiqing Zheng; Min Li 007; Yi Pan 001 (PLoS Comput. Biol., 2024)

LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features. - Wei Lan; Chunling Li; Qingfeng Chen; Ning Yu 004; Yi Pan 001; Yu Zheng 013; Yi-Ping Phoebe Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph. - Wei Lan; Tianchuan Yang; Qingfeng Chen; Shichao Zhang 001; Yi Dong; Huiyu Zhou 001; Yi Pan 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multichannel Contribution Aware Network for Prostate Cancer Grading in Histopathology Images. - Junlai Qiu; Qingfeng Chen; Wei Lan; Junyue Cao (J. Comput. Biol., 2025)

Contrastive Clustering Learning for Multi-Behavior Recommendation. - Wei Lan; Guoxian Zhou; Qingfeng Chen; Wenguang Wang; Shirui Pan; Yi Pan 001; Shichao Zhang 001 (ACM Trans. Inf. Syst., 2025)

A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems. - Jianfeng Deng; Qingfeng Chen; Debo Cheng; Jiuyong Li; Lin Liu 003; Shichao Zhang 001 (CoRR, 2025)

LactFormer: Language-Aware Context Learning With Multi-Cue Transformers for HOI Detection. - Weilong Peng; Qingfeng Chen; Keke Tang; Zhaoyang Yu; Yangtao Wang; Yanzhao Xie; Meie Fang (IEEE Trans. Consumer Electron., 2025)

Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach. - Qingfeng Chen; Shiyuan Li; Yixin Liu 001; Shirui Pan; Geoffrey I. Webb; Shichao Zhang 001 (CoRR, 2025)

The Large Language Models on Biomedical Data Analysis: A Survey. - Wei Lan; Zhentao Tang; Mingyang Liu; Qingfeng Chen; Wei Peng 004; Yi-Ping Phoebe Chen; Yi Pan 001 (IEEE J. Biomed. Health Informatics, 2025)

FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection. - Yunfeng Zhao; Yixin Liu 001; Shiyuan Li; Qingfeng Chen; Yu Zheng 013; Shirui Pan (CoRR, 2025)