Qingfeng Chen - RankMe

115 papers A* 5A 3B 3C 6Misc 1Journal 77Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Factual Queries: A Novel Predictive Retrieval-Augmented Generation. WWW Debo Cheng, Jianfeng Deng, Qingfeng Chen, Jinyi Jie, Jiangzhang Gan
2026	J	`jnl`	Beyond a Single Perspective: Text Anomaly Detection with Multi-View Language Representations. CoRR Yixin Liu, Kehan Yan, Shiyuan Li, Qingfeng Chen, Shirui Pan
2026	J	`jnl`	Coordinator: Semantic-coordinated dynamic fusion for multi-view clustering. Inf. Fusion Wei Lan, Yinghao Guo, Qingfeng Chen, Shichao Zhang, Shirui Pan, Huiyu Zhou, Yi Pan
2026	J	`jnl`	Deep Imputation Bi-Stochastic Graph Regularized Matrix Factorization for Clustering Single-Cell RNA-Sequencing Data. IEEE Trans. Comput. Biol. Bioinform. Wei Lan, Jianwei Chen, Mingyang Liu, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen
2026	J	`jnl`	From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection. CoRR Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Philip S. Yu, Shirui Pan
2026	A*	`conf`	Learning Fair Graph Representations via Probability of Necessity and Sufficiency. AAAI Chuxun Liu, Qingfeng Chen, Debo Cheng, Jiangzhang Gan, Jiuyong Li, Lin Liu
2026	J	`jnl`	MDPENet: multimodal-driven prototype evolving network for few-shot semantic segmentation. PeerJ Comput. Sci. Xueqian Ding, Zhaobin Chang, Qingfeng Chen, Guodong Che, Zi Yang
2026	J	`jnl`	Multi-view debiasing representation learning for recommender systems. Inf. Process. Manag. Qingfeng Chen, Jianfeng Deng, Debo Cheng, Jiuyong Li, Lin Liu
2026	J	`jnl`	Near-Far Field Boundary Analysis for Multi-User Communication Systems. IEEE Commun. Lett. Yixiao Gu, Qingfeng Chen, Zhengqin Xu, Zhichao Sheng, Dan Zeng
2026	J	`jnl`	Towards robust graph-level anomaly detection via counterfactual augmentation. Knowl. Based Syst. Qingfeng Chen, Haojin Zeng, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2025	J	`jnl`	A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems. CoRR Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2025	J	`jnl`	A multimodal DTA prediction method based on triple-view contrastive learning. Complex Intell. Syst. Xiaoxing Pang, Zhixian Liu, Qingfeng Chen, Wei Lan, Shunhan Yao, Jiahai Liang
2025	J	`jnl`	CLTDA: Identifying Associations Between tsRNAs and Diseases Based on Contrastive Learning. Big Data Min. Anal. Wei Lan, Wenyi Chen, Chunling Li, Qingfeng Chen, Wei Peng, Yi-Ping Phoebe Chen, Xiaoshu Zhu
2025	J	`jnl`	Contrastive Clustering Learning for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. Wei Lan, Guoxian Zhou, Qingfeng Chen, Wenguang Wang, Shirui Pan, Yi Pan, Shichao Zhang
2025	J	`jnl`	DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection. CoRR Qingfeng Chen, Haojin Zeng, Jingyi Jie, Shichao Zhang, Debo Cheng
2025	A	`conf`	FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection. CIKM Yunfeng Zhao, Yixin Liu, Shiyuan Li, Qingfeng Chen, Yu Zheng, Shirui Pan
2025	J	`jnl`	FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection. CoRR Yunfeng Zhao, Yixin Liu, Shiyuan Li, Qingfeng Chen, Yu Zheng, Shirui Pan
2025	—	`conf`	Interactive Adaptation Prototypes Network for Few-Shot Medical Image Semantic Segmentation. BIBM Hong Zhao, Qingfeng Chen, Jiankang Hong, Qiaoying Jin, Chenglin Yu, Jie Din, Long Li, Zhaobin Chang
2025	—	`conf`	Interpretable Causal Feature Selection with GCN for Early Diagnosis of Alzheimer's Disease. ADMA (3) Qingfeng Chen, Chuxun Liu, Debo Cheng, Rongyao Hu
2025	J	`jnl`	LactFormer: Language-Aware Context Learning With Multi-Cue Transformers for HOI Detection. IEEE Trans. Consumer Electron. Weilong Peng, Qingfeng Chen, Keke Tang, Zhaoyang Yu, Yangtao Wang, Yanzhao Xie, Meie Fang
2025	J	`jnl`	Learning Fair Graph Representations with Multi-view Information Bottleneck. CoRR Chuxun Liu, Debo Cheng, Qingfeng Chen, Jiangzhang Gan, Jiuyong Li, Lin Liu
2025	A*	`conf`	Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems. EMNLP Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu
2025	A	`conf`	Mitigating Latent Confounding Bias in Recommender Systems. CIKM Jianfeng Deng, Qingfeng Chen, Debo Cheng, Xiaojing Du, Jiuyong Li, Lin Liu
2025	J	`jnl`	Multichannel Contribution Aware Network for Prostate Cancer Grading in Histopathology Images. J. Comput. Biol. Junlai Qiu, Qingfeng Chen, Wei Lan, Junyue Cao
2025	J	`jnl`	The Large Language Models on Biomedical Data Analysis: A Survey. IEEE J. Biomed. Health Informatics Wei Lan, Zhentao Tang, Mingyang Liu, Qingfeng Chen, Wei Peng, Yi-Ping Phoebe Chen, Yi Pan
2025	J	`jnl`	Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach. CoRR Qingfeng Chen, Shiyuan Li, Yixin Liu, Shirui Pan, Geoffrey I. Webb, Shichao Zhang
2025	J	`jnl`	Uncertainty-Aware Graph Neural Networks: A Multihop Evidence Fusion Approach. IEEE Trans. Neural Networks Learn. Syst. Qingfeng Chen, Shiyuan Li, Yixin Liu, Shirui Pan, Geoffrey I. Webb, Shichao Zhang
2024	A*	`conf`	A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. ICDM Qingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2024	J	`jnl`	A Survey of Hallucination in Large Visual Language Models. CoRR Wei Lan, Wenyi Chen, Qingfeng Chen, Shirui Pan, Huiyu Zhou, Yi Pan
2024	A*	`conf`	ARC: A Generalist Graph Anomaly Detector with In-Context Learning. NeurIPS Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
2024	J	`jnl`	ARC: A Generalist Graph Anomaly Detector with In-Context Learning. CoRR Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
2024	—	`book`	Association Analysis Techniques and Applications in Bioinformatics Qingfeng Chen
2024	J	`jnl`	Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only. Knowl. Based Syst. Shiyuan Li, Qingfeng Chen, Zhixian Liu, Shirui Pan, Shichao Zhang
2024	J	`jnl`	DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery. Briefings Bioinform. Wei Lan, Haibo Liao, Qingfeng Chen, Lingzhi Zhu, Yi Pan, Yi-Ping Phoebe Chen
2024	—	`conf`	GCLNSTDA: Predicting tsRNA-Disease Association Based on Contrastive Learning and Negative Sampling. BCB Wei Lan, Wenyi Chen, Chunling Li, Qingfeng Chen, Yi-Ping Phoebe Chen, Yi Pan
2024	J	`jnl`	IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretability. Briefings Bioinform. Zhanyu Xu, Haibo Liao, Liuliu Huang, Qingfeng Chen, Wei Lan, Shikang Li
2024	J	`jnl`	LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Lan, Chunling Li, Qingfeng Chen, Ning Yu, Yi Pan, Yu Zheng, Yi-Ping Phoebe Chen
2024	—	`conf`	MIT: Multi-cue Injected Transformer for Two-Stage HOI Detection. PRCV (7) Weilong Peng, Qingfeng Chen, Keke Tang, Zhihao Yang, Meng Xing, Meie Fang
2024	J	`jnl`	Mitigating Dual Latent Confounding Biases in Recommender Systems. CoRR Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu, Xiaojing Du
2024	—	`conf`	Modeling Single-Cell ATAC-Seq Data Based on Contrastive Learning. ISBRA (1) Wei Lan, Weihao Zhou, Qingfeng Chen, Ruiqing Zheng, Yi Pan, Yi-Ping Phoebe Chen
2024	J	`jnl`	Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph. IEEE Trans. Neural Networks Learn. Syst. Wei Lan, Tianchuan Yang, Qingfeng Chen, Shichao Zhang, Yi Dong, Huiyu Zhou, Yi Pan
2024	A	`conf`	Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CIKM Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan
2024	J	`jnl`	Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CoRR Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan
2024	J	`jnl`	SSLDTI: A novel method for drug-target interaction prediction based on self-supervised learning. Artif. Intell. Medicine Zhixian Liu, Qingfeng Chen, Wei Lan, Huihui Lu, Shichao Zhang
2024	—	`conf`	Single-Cell Multi-omics Clustering Algorithm Based on Adaptive Weighted Hyper-laplacian Regularization. ISBRA (2) Wei Lan, Shengzu Huang, Xun Sun, Haibo Liao, Qingfeng Chen, Junyue Cao
2024	J	`jnl`	Transformer-Based Single-Cell Language Model: A Survey. Big Data Min. Anal. Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng
2024	J	`jnl`	Transformer-based Single-Cell Language Model: A Survey. CoRR Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng
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
2023	J	`jnl`	Anomaly Detection in Dynamic Graphs via Transformer. IEEE Trans. Knowl. Data Eng. Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent Cheng-Siong Lee
2023	J	`jnl`	Benchmarking of computational methods for predicting circRNA-disease associations. Briefings Bioinform. Wei Lan, Yi Dong, Hongyu Zhang, Chunling Li, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen
2023	J	`jnl`	Breast cancer diagnosis using hybrid AlexNet-ELM and chimp optimization algorithm evolved by Nelder-mead simplex approach. Biomed. Signal Process. Control. Junyue Cao, Diyar Qader Zeebaree, Qingfeng Chen, Dilovan Asaad Zebari
2023	—	`ch.`	Defense Against Adversarial Attack on Knowledge Graph Embedding. Emerging Trends in Cybersecurity Applications Yuxiao Zhang, Qingfeng Chen, Xinkun Hao, Haiming Pan, Qian Yu, Kexin Huang
2023	—	`conf`	Multi-fusion Recurrent Network for Argument Pair Extraction. ICANN (6) Naixu He, Qingfeng Chen, Qian Yu, Zongzhao Han
2023	J	`jnl`	Predicting drug-drug interactions based on multi-view and multichannel attention deep learning. Health Inf. Sci. Syst. Liyu Huang, Qingfeng Chen, Wei Lan
2022	J	`jnl`	GANLDA: Graph attention network for lncRNA-disease associations prediction. Neurocomputing Wei Lan, Ximin Wu, Qingfeng Chen, Wei Peng, Jianxin Wang, Yi-Ping Phoebe Chen
2022	J	`jnl`	IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Lan, Yi Dong, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen, Shirui Pan
2022	J	`jnl`	KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. Briefings Bioinform. Wei Lan, Yi Dong, Qingfeng Chen, Ruiqing Zheng, Jin Liu, Yi Pan, Yi-Ping Phoebe Chen
2022	J	`jnl`	LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Lan, Dehuan Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen
2022	—	`conf`	Multi-layer LSTM Parallel Optimization Based on Hardware and Software Cooperation. KSEM (2) Qingfeng Chen, Jing Wu, Feihu Huang, Yu Han, Qiming Zhao
2022	—	`conf`	Neural Networks Implemented by Differential Evolutionary Algorithms to Counter Attacks. CSCloud/EdgeCom Qingfeng Chen, Jing Wu, Jing Liu, Yu Han
2022	J	`jnl`	Optimization of Multi-Objective Unequal Area Facility Layout. IEEE Access Hongtao Tang, Senli Ren, Weiguang Jiang, Qingfeng Chen
2022	—	`conf`	Stable Causal Feature Selection based on Direct Causal Effect Estimation. HPCC/DSS/SmartCity/DependSys Xiaojing Du, Qingfeng Chen, Debo Cheng, Qian Huang, Junyue Cao, Zhenyun Deng, Shichao Zhang
2022	—	`conf`	scIAC: clustering scATAC-seq data based on Student's t-distribution similarity imputation and denoising autoencoder. BIBM Wei Lan, Jin Ye, Xun Sun, Xiaoshu Zhu, Qingfeng Chen, Yi Pan
2021	J	`jnl`	Classifying Conserved RNA Secondary Structures With Pseudoknots by Vector-Edit Distance. IEEE Access Liyu Huang, Qingfeng Chen, Yongjie Li, Cheng Luo
2021	J	`jnl`	Co-mutation modules capture the evolution and transmission patterns of SARS-CoV-2. Briefings Bioinform. Luyao Qin, Xiao Ding, Yongjie Li, Qingfeng Chen, Jing Meng, Taijiao Jiang
2021	J	`jnl`	ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. Qingfeng Chen, Dehuan Lai, Wei Lan, Ximin Wu, Baoshan Chen, Jin Liu, Yi-Ping Phoebe Chen, Jianxin Wang
2021	J	`jnl`	Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility. Comput. Intell. Neurosci. Hongtao Tang, Senli Ren, Weiguang Jiang, Jiajiong Liang, Qingfeng Chen
2021	J	`jnl`	Prediction of circRNA-miRNA Associations Based on Network Embedding. Complex. Wei Lan, Mingrui Zhu, Qingfeng Chen, Jianwei Chen, Jin Ye, Jin Liu, Wei Peng, Shirui Pan
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`	Community detection in complex network based on APT method. Pattern Recognit. Lett. Qingfeng Chen, Yulu Qiao, Fang Hu, Yongjie Li, Kai Tan, Mingrui Zhu, Chengqi Zhang
2020	J	`jnl`	Erratum to: Identifying miRNA-disease association based on integrating miRNA topological similarity and functional similarity. Quant. Biol. Qingfeng Chen, Zhao Zhe, Wei Lan, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yi-Ping Phoebe Chen
2020	J	`jnl`	Inferring LncRNA-disease associations based on graph autoencoder matrix completion. Comput. Biol. Chem. Ximin Wu, Wei Lan, Qingfeng Chen, Yi Dong, Jin Liu, Wei Peng
2019	J	`jnl`	Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network. J. Comput. Biol. Qingfeng Chen, Canshang Deng, Wei Lan, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang
2019	J	`jnl`	Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity. Quant. Biol. Qingfeng Chen, Zhao Zhe, Wei Lan, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yi-Ping Phoebe Chen
2019	J	`jnl`	Privacy-preserving decision tree for epistasis detection. Cybersecur. Qingfeng Chen, Xu Zhang, Ruchang Zhang
2018	—	`ed.`	Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Nanning, China, November 9-11, 2018, Proceedings ATIS Qingfeng Chen, Jia Wu, Shichao Zhang, Changan Yuan, Lynn Batten, Gang Li
2018	—	`conf`	KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk. ISBRA Canshang Deng, Qingfeng Chen, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang, Wei Lan
2018	J	`jnl`	ProBAPred: Inferring protein-protein binding affinity by incorporating protein sequence and structural features. J. Bioinform. Comput. Biol. Bangli Lu, Chen Li, Qingfeng Chen, Jiangning Song
2017	J	`jnl`	Exploring Consensus RNA Substructural Patterns Using Subgraph Mining. IEEE ACM Trans. Comput. Biol. Bioinform. Qingfeng Chen, Chaowang Lan, Baoshan Chen, Lusheng Wang, Jinyan Li, Chengqi Zhang
2017	J	`jnl`	MapReduce for accurate error correction of next-generation sequencing data. Bioinform. Liang Zhao, Qingfeng Chen, Wencui Li, Peng Jiang, Limsoon Wong, Jinyan Li
2017	J	`jnl`	Using propensity scores to predict the kinases of unannotated phosphopeptides. Knowl. Based Syst. Qingfeng Chen, Yiqi Wang, Baoshan Chen, Chengqi Zhang, Lusheng Wang, Jinyan Li
2017	J	`jnl`	Visual phrase recognition by modeling 3D spatial context of multiple objects. Neurocomputing Lin Bai, Qingfeng Chen
2016	—	`conf`	Depth-First Search Encoding of RNA Substructures. ICIC (1) Qingfeng Chen, Chaowang Lan, Jinyan Li, Baoshan Chen, Lusheng Wang, Chengqi Zhang
2016	J	`jnl`	Grouping miRNAs of similar functions via weighted information content of gene ontology. BMC Bioinform. Chaowang Lan, Qingfeng Chen, Jinyan Li
2016	J	`jnl`	Human gait recognition based on deterministic learning through multiple views fusion. Pattern Recognit. Lett. Muqing Deng, Cong Wang, Qingfeng Chen
2016	J	`jnl`	Interval-Based Similarity for Classifying Conserved RNA Secondary Structures. IEEE Intell. Syst. Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang
2014	J	`jnl`	Monotonicity and convergence of asynchronous update gradient method for ridge polynomial neural network. Neurocomputing Xin Yu, Lixia Tang, Qingfeng Chen, Chenhua Xu
2014	J	`jnl`	Research on the Projection Position-Based Sequential Pattern Mining Algorithm. Control. Intell. Syst. Taoshen Li, Weina Wang, Qingfeng Chen
2013	J	`jnl`	Mining Featured Patterns of MiRNA Interaction Based on Sequence and Structure Similarity. IEEE ACM Trans. Comput. Biol. Bioinform. Qingfeng Chen, Wei Lan, Jianxin Wang
2012	J	`jnl`	Convergence of gradient method with penalty for Ridge Polynomial neural network. Neurocomputing Xin Yu, Qingfeng Chen
2012	J	`jnl`	Discovering Inhibition Pathways for Protein Kinases. IEEE Intell. Syst. Qingfeng Chen, Yi-Ping Phoebe Chen
2011	J	`jnl`	Dealing with inconsistent secure messages by weighting majority. Knowl. Based Syst. Qingfeng Chen, Shichao Zhang, Zhi Zhong
2011	—	`conf`	Discovery of MicroRNA conservative sites in drosophila melanogaster. BMEI Wei Lan, Qingfeng Chen, Taoshen Li
2011	J	`jnl`	Function Annotation for Pseudoknot Using Structure Similarity. IEEE ACM Trans. Comput. Biol. Bioinform. Qingfeng Chen, Yi-Ping Phoebe Chen
2011	J	`jnl`	Modeling Conserved Structure Patterns for Functional Noncoding RNA. IEEE Trans. Biomed. Eng. Qingfeng Chen, Yi-Ping Phoebe Chen
2010	J	`jnl`	Acquiring knowledge from inconsistent data sources through weighting. Data Knowl. Eng. Shichao Zhang, Qingfeng Chen, Qiang Yang
2010	J	`jnl`	Mining characteristic relations bind to RNA secondary structures. IEEE Trans. Inf. Technol. Biomed. Qingfeng Chen, Yi-Ping Phoebe Chen
2009	J	`jnl`	Discovery of Structural and Functional Features in RNA Pseudoknots. IEEE Trans. Knowl. Data Eng. Qingfeng Chen, Yi-Ping Phoebe Chen
2008	J	`jnl`	Rule-based dependency models for security protocol analysis. Integr. Comput. Aided Eng. Qingfeng Chen, Shichao Zhang, Yi-Ping Phoebe Chen
2008	—	`book`	Secure Transaction Protocol Analysis: Models and Applications Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2007	J	`jnl`	Detecting inconsistency in biological molecular databases using ontologies. Data Min. Knowl. Discov. Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang
2007	C	`conf`	Identifying Dependency Between Secure Messages for Protocol Analysis. KSEM Qingfeng Chen, Shichao Zhang, Yi-Ping Phoebe Chen
2007	C	`conf`	Learning Dependency Model for AMP-Activated Protein Kinase Regulation. KSEM Yi-Ping Phoebe Chen, Qiumei Qin, Qingfeng Chen
2006	B	`conf`	Analyzing Inconsistency Toward Enhancing Integration of Biological Molecular Databases. APBC Yi-Ping Phoebe Chen, Qingfeng Chen
2006	C	`conf`	Detecting Collusion Attacks in Security Protocols. APWeb Qingfeng Chen, Yi-Ping Phoebe Chen, Shichao Zhang, Chengqi Zhang
2006	B	`conf`	Mining Frequent Itemsets for Protein Kinase Regulation. PRICAI Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang, Lianggang Li
2006	J	`jnl`	Mining frequent patterns for AMP-activated protein kinase regulation on skeletal muscle. BMC Bioinform. Qingfeng Chen, Yi-Ping Phoebe Chen
2005	—	`conf`	A Framework for Merging Inconsistent Beliefs in Security Protocol Analysis. DEEC Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang, Shichao Zhang
2005	—	`conf`	Analyzing Security Protocols Using Association Rule Mining. Australian Conference on Artificial Intelligence Qingfeng Chen, Yi-Ping Phoebe Chen
2005	J	`jnl`	ENDL: A Logical Framework for Verifying Secure Transaction Protocols. Knowl. Inf. Syst. Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2004	C	`conf`	A Verification Model for Electronic Transaction Protocols. APWeb Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2004	B	`conf`	Dealing with Inconsistent Secure Messages. PRICAI Qingfeng Chen, Shichao Zhang
2003	C	`conf`	Verifying the Payment Authorization in SET Protocol. IDEAL Qingfeng Chen, Chengqi Zhang, Shichao Zhang
2003	C	`conf`	Verifying the Purchase Request in SET Protocol. APWeb Qingfeng Chen, Chengqi Zhang, Shichao Zhang, Chunsheng Li
2001	Misc	`conf`	A Logical Framework for Knowledge Sharing in Multi-agent Systems. COCOON Kaile Su, Xudong Luo, Huaiqing Wang, Chengqi Zhang, Shichao Zhang, Qingfeng Chen