A Pruning Based Incremental Construction of Horizontal Partitioned Concept Lattice. - Lihua Hu; Jifu Zhang; Sulan Zhang (ICIC (2), 2006)

A Batch Constructing Method of Weighted Concept Lattice Based on Deviance Analysis. - Sulan Zhang; Ping Guo 002; Jifu Zhang; Xinxin Wang (CIS (1), 2009)

Algebra System of Constrained Concept Lattice and its Completeness of Knowledge Representation. - Jifu Zhang; Sulan Zhang; Yiyong Jiang (FSKD (2), 2009)

A concept lattice based outlier mining method in low-dimensional subspaces. - Jifu Zhang; Yiyong Jiang; Kai H. Chang; Sulan Zhang; Jianghui Cai; Lihua Hu (Pattern Recognit. Lett., 2009)

A Constructing Method of Decision Tree and Classification Rule Extraction for Incomplete Information System. - Haifeng Yang 001; Zhihai Xu; Jifu Zhang; Jianghui Cai (CASoN, 2010)

A Star Spectrum Outliers Mining System Based on PSO. - Jianghui Cai; Jifu Zhang; Xujun Zhao (J. Multiple Valued Log. Soft Comput., 2010)

An outlier mining algorithm based on local weighted k-density. - Aiqin Liu; Jifu Zhang (FSKD, 2011)

A soft partition discretization algorithm based on fuzzy clustering. - Aiqin Liu; Xin Li; Jifu Zhang (FSKD, 2012)

A completeness analysis of frequent weighted concept lattices and their algebraic properties. - Sulan Zhang; Ping Guo 002; Jifu Zhang; Xinxin Wang; Witold Pedrycz (Data Knowl. Eng., 2012)

TIGER: Thermal-aware file assignment in storage clusters. - Ajit Chavan; Xunfei Jiang; Mohammed I. Alghamdi; Xiao Qin 001; Minghua Jiang; Jifu Zhang (MSST, 2013)

Interrelation analysis of celestial spectra data using constrained frequent pattern trees. - Jifu Zhang; Xujun Zhao; Sulan Zhang; Shu Yin 001; Xiao Qin 001 (Knowl. Based Syst., 2013)

TOPS: Two-phase scheduling for distributed real-time systems. - Mohammed I. Alghamdi; Xunfei Jiang; Xiao Qin 001; Jifu Zhang; Minghua Jiang; Meikang Qiu (ComComAP, 2014)

An outlier mining algorithm based on constrained concept lattice. - Jifu Zhang; Sulan Zhang; Kai H. Chang; Xiao Qin 001 (Int. J. Syst. Sci., 2014)

TERN: A Self-Adjusting Thermal Model for Dynamic Resource Provisioning in Data Centers. - Yuanqi Chen; Mohammed I. Alghamdi; Xiao Qin 001; Jifu Zhang; Minghua Jiang; Meikang Qiu (HPCC/CSS/ICESS, 2015)

The g-Good-Neighbor Conditional Diagnosability of k-Ary n-Cubes under the PMC Modeland MM* Model. - Jun Yuan 001; Aixia Liu; Xue Ma; Xiuli Liu; Xiao Qin 001; Jifu Zhang (IEEE Trans. Parallel Distributed Syst., 2015)

Thermal Modeling and Management of Storage Systems in Data Centers. - Xunfei Jiang; Ji Zhang 002; Xiao Qin 001; Meikang Qiu; Minghua Jiang; Jifu Zhang (Handbook on Data Centers, 2015)

Miner*: A Weighted Distance Sum based Outlier Mining System of Star Spectrum Data. - Chaowei Zhang 001; Jifu Zhang; Xiao Qin 001; Sulan Zhang (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016)

A relevant subspace based contextual outlier mining algorithm. - Jifu Zhang; Xiaolong Yu; Yonghong Li; Sulan Zhang; Yaling Xun; Xiao Qin 001 (Knowl. Based Syst., 2016)

A FWCL-based method for visual vocabulary formation. - Sulan Zhang; Jifu Zhang; Ping Guo 002; Meng Chu; Kai-Hsiung Chang (Multim. Tools Appl., 2016)

g-Good-neighbor conditional diagnosability measures for 3-ary n-cube networks. - Jun Yuan 001; Aixia Liu; Xiao Qin 001; Jifu Zhang; Jing Li 048 (Theor. Comput. Sci., 2016)

TIGER: Thermal-Aware File Assignment in Storage Clusters. - Ajit Chavan; Mohammed I. Alghamdi; Xunfei Jiang; Xiao Qin 001; Meikang Qiu; Minghua Jiang; Jifu Zhang (IEEE Trans. Parallel Distributed Syst., 2016)

FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce. - Yaling Xun; Jifu Zhang; Xiao Qin 001 (IEEE Trans. Syst. Man Cybern. Syst., 2016)

LOMA: A local outlier mining algorithm based on attribute relevance analysis. - Xujun Zhao; Jifu Zhang; Xiao Qin 001 (Expert Syst. Appl., 2017)

Towards two-phase scheduling of real-time applications in distributed systems. - Mohammed I. Alghamdi; Xunfei Jiang; Ji Zhang 002; Jifu Zhang; Minghua Jiang; Xiao Qin 001 (J. Netw. Comput. Appl., 2017)

A parallel algorithm for mining constrained frequent patterns using MapReduce. - Xiaowu Yan; Jifu Zhang; Yaling Xun; Xiao Qin 001 (Soft Comput., 2017)

FiDoop-DP: Data Partitioning in Frequent Itemset Mining on Hadoop Clusters. - Yaling Xun; Jifu Zhang; Xiao Qin 001; Xujun Zhao (IEEE Trans. Parallel Distributed Syst., 2017)

Towards thermal-aware Hadoop clusters. - Yi Zhou 009; Shubbhi Taneja; Gautam Dudeja; Xiao Qin 001; Jifu Zhang; Minghua Jiang; Mohammed I. Alghamdi (Future Gener. Comput. Syst., 2018)

kNN-DP: Handling Data Skewness in kNN Joins Using MapReduce. - Xujun Zhao; Jifu Zhang; Xiao Qin 001 (IEEE Trans. Parallel Distributed Syst., 2018)

Informed Prefetching for Distributed Multi-Level Storage Systems. - Maen M. Al Assaf; Xunfei Jiang; Xiao Qin 001; Mohamed Riduan Abid; Meikang Qiu; Jifu Zhang (J. Signal Process. Syst., 2018)

Thermal-Efficiency Benchmark on High-Performance Clusters. - Yi Zhou 009; Yuanqi Chen; Chaowei Zhang 001; Xiao Qin 001; Jifu Zhang (IGSC, 2019)

A Novel Algorithm for Initial Cluster Center Selection. - Yating Li; Jianghui Cai; Haifeng Yang 001; Jifu Zhang; Xujun Zhao (IEEE Access, 2019)

DoPS: A Double-Peaked Profiles Search Method Based on the RS and SVM. - Caixia Qu; Haifeng Yang 001; Jianghui Cai; Jifu Zhang; Yongxiang Zhou (IEEE Access, 2019)

Incremental Frequent Itemsets Mining With FCFP Tree. - Jiaojiao Sun; Yaling Xun; Jifu Zhang; Junli Li 005 (IEEE Access, 2019)

PUMA: Parallel subspace clustering of categorical data using multi-attribute weights. - Ning Pang; Jifu Zhang; Chaowei Zhang 001; Xiao Qin 001; Jianghui Cai (Expert Syst. Appl., 2019)

Parallel mining of contextual outlier using sparse subspace. - Xujun Zhao; Jifu Zhang; Xiao Qin 001; Jianghui Cai; Yang Ma (Expert Syst. Appl., 2019)

Feature grouping-based parallel outlier mining of categorical data using spark. - Junli Li 005; Jifu Zhang; Xiao Qin 001; Yaling Xun (Inf. Sci., 2019)

Parallel Hierarchical Subspace Clustering of Categorical Data. - Ning Pang; Jifu Zhang; Chaowei Zhang 001; Xiao Qin 001 (IEEE Trans. Computers, 2019)

Computing Mutual Information of Big Categorical Data and Its Application to Feature Grouping. - Junli Li 005; Chaowei Zhang 001; Jifu Zhang; Xiao Qin 001 (ICDE, 2020)

TAD: A trajectory clustering algorithm based on spatial-temporal density analysis. - Yuqing Yang; Jianghui Cai; Haifeng Yang 001; Jifu Zhang; Xujun Zhao (Expert Syst. Appl., 2020)

EDOM: Improving energy efficiency of database operations on multicore servers. - Yi Zhou 009; Shubbhi Taneja; Xiao Qin 001; Wei-Shinn Ku; Jifu Zhang (Future Gener. Comput. Syst., 2020)

ThermoBench: A thermal efficiency benchmark for clusters in data centers. - Yi Zhou 009; Yuanqi Chen; Shubbhi Taneja; Ajit Chavan; Xiao Qin 001; Jifu Zhang (Parallel Comput., 2020)

Weighted Outlier Detection of High-Dimensional Categorical Data Using Feature Grouping. - Junli Li 005; Jifu Zhang; Ning Pang; Xiao Qin 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Scalable Mining of Contextual Outliers Using Relevant Subspace. - Jifu Zhang; Xiaolong Yu; Yaling Xun; Sulan Zhang; Xiao Qin 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

A novel discretization algorithm based on multi-scale and information entropy. - Yaling Xun; Qingxia Yin; Jifu Zhang; Haifeng Yang 001; Xiaohui Cui (Appl. Intell., 2021)

KR-DBSCAN: A density-based clustering algorithm based on reverse nearest neighbor and influence space. - Lihua Hu; Hongkai Liu; Jifu Zhang; Aiqin Liu (Expert Syst. Appl., 2021)

Incremental frequent itemsets mining based on frequent pattern tree and multi-scale. - Yaling Xun; Xiaohui Cui; Jifu Zhang; Qingxia Yin (Expert Syst. Appl., 2021)

Outlier detection from multiple data sources. - Yang Ma; Xujun Zhao; Chaowei Zhang 001; Jifu Zhang; Xiao Qin 001 (Inf. Sci., 2021)

An Algebraic Proof of the Necessary and Sufficient Condition for a P3P Problem Having a Pair of Point-Sharing Solutions. - Lihua Hu; Jifu Zhang; Xiaoming Li (J. Math. Imaging Vis., 2021)

HBPFP-DC: A parallel frequent itemset mining using Spark. - Yaling Xun; Jifu Zhang; Haifeng Yang 001; Xiao Qin 001 (Parallel Comput., 2021)

Memory-Effective Parallel Mining of Incremental Frequent Itemsets Based on Multi-scale. - Linqing Wang; Yaling Xun; Jifu Zhang; Huimin Bi (ChineseCSCW (1), 2022)

MiCS-P: Parallel mutual-information computation of big categorical data on spark. - Junli Li 005; Chaowei Zhang 001; Jifu Zhang; Xiao Qin 001; Lihua Hu (J. Parallel Distributed Comput., 2022)

Image annotation of ancient chinese architecture based on visual attention mechanism and GCN. - Sulan Zhang; Songzan Chen; Jifu Zhang; Zhenjiao Cai; Lihua Hu (Multim. Tools Appl., 2022)

GMC_FM : a grid and multi-density-based method for matching ancient Chinese architectural images. - Lihua Hu; Yaoyao Nie; Jifu Zhang; Sulan Zhang (Mach. Vis. Appl., 2022)

Architectural style classification based on CNN and channel-spatial attention. - Bo Wang; Sulan Zhang; Jifu Zhang; Zhenjiao Cai (Signal Image Video Process., 2023)

A multi-view ensemble clustering approach using joint affinity matrix. - Xueying Niu; Chaowei Zhang 001; Xiaojie Zhao; Lihua Hu; Jifu Zhang (Expert Syst. Appl., 2023)

A user-guided reduction concept lattice and its algebraic structure. - Sulan Zhang; Jifu Zhang; Jianeng Li; Ping Guo 002; Witold Pedrycz (Expert Syst. Appl., 2023)

A High-Dimensional Outlier Detection Approach Based on Local Coulomb Force. - Pengyun Zhu; Chaowei Zhang 001; Xiaofeng Li; Jifu Zhang; Xiao Qin 001 (IEEE Trans. Knowl. Data Eng., 2023)

A multi-view subspace representation learning approach powered by subspace transformation relationship. - Xueying Niu; Chaowei Zhang 001; Yang Ma; Lihua Hu; Jifu Zhang (Knowl. Based Syst., 2023)

Multi-level Self-supervised Representation Learning via Triple-way Attention Fusion and Local Similarity Optimization. - Sulan Zhang; Fei Chen; Jifu Zhang; Aiqin Liu; Fei Wang (Neural Process. Lett., 2023)

A density connection weight-based clustering approach for dataset with density-sparse region. - Min Zhang 049; Yang Ma; Junli Li 005; Jifu Zhang (Expert Syst. Appl., 2023)

AdaHOSVD: an adaptive higher-order singular value decomposition method for point cloud denoising. - Lihua Hu; Wenhao Liang; Yuting Bai; Jifu Zhang (Pattern Anal. Appl., 2023)

Unsupervised single image-based depth estimation powered by coplanarity-driven disparity derivation. - Xiaoling Yao; Lihua Hu; Yang Ma; Jifu Zhang (Eng. Appl. Artif. Intell., 2024)

A multi-view ensemble clustering approach using joint entropy. - Xiaojie Zhao; Xueying Niu; Yang Ma; Jifu Zhang (Expert Syst. Appl., 2024)

Higher-order embedded learning for heterogeneous information networks and adaptive POI recommendation. - Yaling Xun; Yujia Wang; Jifu Zhang; Haifeng Yang 001; Jianghui Cai (Inf. Process. Manag., 2024)

AM-RP Stacking PILers: Random projection stacking pseudoinverse learning algorithm based on attention mechanism. - Zhenjiao Cai; Sulan Zhang; Ping Guo 002; Jifu Zhang; Lihua Hu (Vis. Comput., 2024)

A hybrid similarity measure-based clustering approach for mixed attribute data. - Kexin Chu; Min Zhang 049; Yaling Xun; Jifu Zhang (Int. J. Mach. Learn. Cybern., 2024)

A Progressive Stacking Pseudoinverse Learning Framework via Active Learning in Random Subspaces. - Zhenjiao Cai; Sulan Zhang; Ping Guo 002; Jifu Zhang; Lihua Hu (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Relevant Subspace-Based Contextual Outlier Detection Using Chebyshev Coulomb Resultant Force. - Jianying Liu; Yang Ma; Jifu Zhang (ICIC (8), 2025)

Similarity Attribute-Based Categorical Attribute Grouping for Outlier Detecting. - Yijing Song; Jianying Liu; Min Zhang 049; Xiao Qin 001; Jifu Zhang (ICIC (8), 2025)

Weakly supervised semantic segmentation for ancient architecture based on multiscale adaptive fusion and spectral clustering. - Ruifei Sun; Sulan Zhang; Meihong Su; Lihua Hu; Jifu Zhang (Comput. Graph., 2025)

Improved Differential and Linear Cryptanalysis on Round-Reduced SIMON. - Chao Niu; Muzhou Li; Jifu Zhang; Meiqin Wang (IACR Cryptol. ePrint Arch., 2025)

An adaptive multimodal biometric feature recognition method based on visual perception. - Hua Deng; Jifu Zhang; Yun He; Jing Zhang; Dan Han (Int. J. Data Min. Bioinform., 2025)

Sensitivity-propagated dual-frequency graph neural network for multivariate time series forecasting. - Yaling Xun; Shuo Han; Jianghui Cai; Haifeng Yang 001; Jifu Zhang (Neurocomputing, 2025)

ARFIS: An adaptive robust model for regression with heavy-tailed distribution. - Meihong Su; Jifu Zhang; Yaqing Guo; Wenjian Wang (Inf. Sci., 2025)

LrpcSIDE: Unsupervised Depth Estimation Powered by Left-Right Point Cloud Consistency. - Xiaoling Yao; Lihua Hu; Yang Ma; Jifu Zhang (IEEE Trans. Instrum. Meas., 2025)

ICE: Incremental Subspace Clustering of High-Dimensional Categorical Data. - Ning Pang; Chaowei Zhang 001; Jifu Zhang; Xiao Qin 001 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2025)

Reinforcement negative sampling recommendation based on collaborative knowledge graph. - Mengjie Zhao; Yaling Xun; Jifu Zhang; Yanfeng Li (J. Intell. Inf. Syst., 2025)

Context feature fusion and enhanced non-maximum suppression for pedestrian detection in crowded scenes. - Yu Shao; Jianhua Hu; Lihua Hu; Jifu Zhang; Xinbo Wang (Multim. Tools Appl., 2025)

An incomplete multi-view clustering approach using subspace alignment constraint. - Xueying Niu; Xiaojie Zhao; Lihua Hu; Jifu Zhang (Int. J. Mach. Learn. Cybern., 2025)

Similarity Metrics: Chebyshev Coulomb Force and Resultant Force for High-Dimensional Data. - Jian Ying Liu; Chaowei Zhang 001; Min Zhang 049; Xiao Qin 001; Jifu Zhang (ACM Trans. Knowl. Discov. Data, 2025)

A progressive attention network with transformer for multi-label image recognition. - Sulan Zhang; Zhenwen Liao; Jianeng Li; Lihua Hu; Jifu Zhang (Pattern Recognit., 2026)