Lebesgue and Saks decompositions of σ-finite fuzzy measures. - Qingshan Jiang; Hisakichi Suzuki (Fuzzy Sets Syst., 1995)

Fuzzy measures on metric spaces. - Qingshan Jiang; Hisakichi Suzuki (Fuzzy Sets Syst., 1996)

Convergence of sequence of measurable functions on fuzzy measure spaces. - Jun Li 014; Masami Yasuda; Qingshan Jiang; Hisakichi Suzuki; Zhenyuan Wang; George J. Klir (Fuzzy Sets Syst., 1997)

Ship detection in RADARSAT SAR imagery. - Qingshan Jiang; Shengrui Wang; Djemel Ziou; Ali El Zaart; Maria T. Rey; Goze B. Bénié; Michael Henschel (SMC, 1998)

Exhaustivity and absolute continuity of fuzzy measures. - Qingshan Jiang; Hisakichi Suzuki; Zhenyuan Wang; George J. Klir (Fuzzy Sets Syst., 1998)

A further investigation for fuzzy measures on metric spaces. - Qingshan Jiang; Shengrui Wang; Djemel Ziou (Fuzzy Sets Syst., 1999)

Pseudometric generating property and autocontinuity of fuzzy measures. - Qingshan Jiang; Shengrui Wang; Djemel Ziou; Zhenyuan Wang; George J. Klir (Fuzzy Sets Syst., 2000)

Segmentation of SAR images. - Ali El Zaart; Djemel Ziou; Shengrui Wang; Qingshan Jiang (Pattern Recognit., 2002)

Application of Neural Networks in Financial Data Mining. - Defu Zhang; Qingshan Jiang; Xin Li (International Conference on Computational Intelligence, 2004)

FCM-Based Model Selection Algorithms for Determining the Number of Clusters. - Haojun Sun; Shengrui Wang; Qingshan Jiang (Pattern Recognit., 2004)

Address Extraction: Extraction of Location-Based Information from the Web. - Wentao Cai 003; Shengrui Wang; Qingshan Jiang (APWeb, 2005)

A Hybrid Mining Model Based on Neural Network and Kernel Smoothing Technique. - Defu Zhang; Qingshan Jiang; Xin Li (International Conference on Computational Science (3), 2005)

A K-means-based Algorithm for Projective Clustering. - Mohamed Bouguessa; Shengrui Wang; Qingshan Jiang (ICPR (1), 2006)

Particle Swarm Optimization Based on Information Diffusion and Clonal Selection. - Yanping Lv; Shaozi Li; Shuili Chen; Qingshan Jiang; Wenzhong Guo (SEAL, 2006)

A New Metric for Classification of Multivariate Time Series. - Heshan Guan; Qingshan Jiang; Zhiling Hong (FSKD (1), 2007)

Measuring Overlap-Rate in Hierarchical Cluster Merging for Image Segmentation and Ship Detection. - Zhiling Hong; Qingshan Jiang; Heshan Guan; Fangfei Weng (FSKD (4), 2007)

A New Initialization Method for Clustering Categorical Data. - Shu Wu; Qingshan Jiang; Joshua Zhexue Huang (PAKDD, 2007)

A Hierarchical Clustering Based on Overlap Similarity Measure. - Jun Qu; Qingshan Jiang; Fangfei Weng; Zhiling Hong (SNPD (3), 2007)

Clustering Ensemble based on the K-NN Algorithm. - Fangfei Weng; Qingshan Jiang; Lifei Chen; Zhiling Hong (SNPD (3), 2007)

An Identity-Based Group Key Agreement Protocol from Pairing. - Hongji Wang; Gang Yao; Qingshan Jiang (ARES, 2008)

An Authenticated 3-Round Identity-Based Group Key Agreement Protocol. - Gang Yao; Hongji Wang; Qingshan Jiang (ARES, 2008)

A New Centroid-Based Classifier for Text Categorization. - Lifei Chen; Yanfang Ye 001; Qingshan Jiang (AINA Workshops, 2008)

Hybrid Content-Based Trademark Retrieval Using Region and Contour Features. - Zhiling Hong; Qingshan Jiang (AINA Workshops, 2008)

Cluster validation for subspace clustering on high dimensional data. - Lifei Chen; Qingshan Jiang; Shengrui Wang (APCCAS, 2008)

A Probability Model for Projective Clustering on High Dimensional Data. - Lifei Chen; Qingshan Jiang; Shengrui Wang (ICDM, 2008)

Research on Combined Rough Sets with Fuzzy Sets. - Haishan Chen; Meihong Wang; Feng Qian; Qingshan Jiang (ISIP, 2008)

Research & application of Metadata Management System based on data warehouse for banks. - Fucheng Xie; Beizhan Wang; Liyan Chen; Liang Shi; Qingshan Jiang; Beizhan Wang (ISKE, 2008)

An extended EM algorithm for subspace clustering. - Lifei Chen; Qingshan Jiang (Frontiers Comput. Sci. China, 2008)

An intelligent PE-malware detection system based on association mining. - Yanfang Ye 001; Dingding Wang 001; Tao Li 001; Dongyi Ye; Qingshan Jiang (J. Comput. Virol., 2008)

A Robust Algorithm for Fuzzy Document Clustering. - Lifei Chen; Shengrui Wang; Qingshan Jiang (AINA Workshops, 2009)

An Initialization Method for Clustering High-Dimensional Data. - Luying Chen; Lifei Chen; Qingshan Jiang; Beizhan Wang; Liang Shi (DBTA, 2009)

Intelligent file scoring system for malware detection from the gray list. - Yanfang Ye 001; Tao Li 001; Qingshan Jiang; Zhixue Han; Li Wan (KDD, 2009)

Validation indices for projective clustering. - Lifei Chen; Shanjun He; Qingshan Jiang (Frontiers Comput. Sci. China, 2009)

SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging. - Yanfang Ye 001; Lifei Chen; Dingding Wang 001; Tao Li 001; Qingshan Jiang; Min Zhao (J. Comput. Virol., 2009)

Detecting Design Pattern Using Subgraph Discovery. - Ming Qiu; Qingshan Jiang; An Gao; Ergan Chen; Di Qiu; Shang Chai (ACIIDS (1), 2010)

A DNA sequence distance measure approach for phylogenetic tree construction. - Dan Wei; Qingshan Jiang (BIC-TA, 2010)

An Improved Initialization Method for Clustering High-Dimensional Data. - Yanping Zhang; Qingshan Jiang (DBTA, 2010)

Automatic malware categorization using cluster ensemble. - Yanfang Ye 001; Tao Li 001; Yong Chen 016; Qingshan Jiang (KDD, 2010)

A New Approach for DNA Sequence Similarity Analysis based on Triplets of Nucleic Acid Bases. - Dan Wei; Qingshan Jiang; Sheng Li (Int. J. Nanotechnol. Mol. Comput., 2010)

Hierarchical associative classifier (HAC) for malware detection from the large and imbalanced gray list. - Yanfang Ye 001; Tao Li 001; Kai Huang; Qingshan Jiang; Yong Chen 016 (J. Intell. Inf. Syst., 2010)

A general measure of similarity for categorical sequences. - Abdellali Kelil; Shengrui Wang; Qingshan Jiang; Ryszard Brzezinski (Knowl. Inf. Syst., 2010)

CIMDS: Adapting Postprocessing Techniques of Associative Classification for Malware Detection. - Yanfang Ye 001; Tao Li 001; Qingshan Jiang; Youyu Wang (IEEE Trans. Syst. Man Cybern. Part C, 2010)

A New Markov Model for Clustering Categorical Sequences. - Tengke Xiong; Shengrui Wang; Qingshan Jiang; Joshua Zhexue Huang (ICDM, 2011)

Performance Comparison of Clustering Methods for Gene Family Data. - Dan Wei; Qingshan Jiang (ICFCE, 2011)

A New Model for Finding Approximate Tandem Repeats in DNA Sequences. - Qingshan Jiang; Sheng Li; Shun Guo; Dan Wei (J. Softw., 2011)

A New Classification Method for Human Gene Splice Site Prediction. - Dan Wei; Weiwei Zhuang; Qingshan Jiang; Yanjie Wei (HIS, 2012)

An Intelligent Anti-phishing Strategy Model for Phishing Website Detection. - Weiwei Zhuang; Qingshan Jiang; Tengke Xiong (ICDCS Workshops, 2012)

A novel hierarchical clustering algorithm for gene sequences. - Dan Wei; Qingshan Jiang; Yanjie Wei; Shengrui Wang (BMC Bioinform., 2012)

Model-Based Method for Projective Clustering. - Lifei Chen; Qingshan Jiang; Shengrui Wang (IEEE Trans. Knowl. Data Eng., 2012)

Feature selection via maximizing global information gain for text classification. - Changxing Shang; Min Li 020; Shengzhong Feng; Qingshan Jiang; Jianping Fan 002 (Knowl. Based Syst., 2013)

A comparative study on resource allocation and energy efficient job scheduling strategies in large-scale parallel computing systems. - Aftab Ahmed Chandio; Kashif Bilal; Nikos Tziritas; Zhibin Yu 001; Qingshan Jiang; Samee Ullah Khan; Cheng-Zhong Xu 001 (Clust. Comput., 2014)

A Novel Variable-order Markov Model for Clustering Categorical Sequences. - Tengke Xiong; Shengrui Wang; Qingshan Jiang; Joshua Zhexue Huang (IEEE Trans. Knowl. Data Eng., 2014)

Performance analyses and parameter adaptive adjustments of a hydraulic ejection loader. - Qingshan Jiang; Linfang Qian; Quan Zou 004 (ICIA, 2015)

Exploring Feature Extraction and ELM in Malware Detection for Android Devices. - Wei Zhang; Huan Ren; Qingshan Jiang; Kai Zhang (ISNN, 2015)

Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network. - Ran Wang 001; Sam Kwong; Qingshan Jiang; Ka-Chun Wong (SMC, 2015)

Segment Based Decision Tree Induction With Continuous Valued Attributes. - Ran Wang 001; Sam Kwong; Xizhao Wang; Qingshan Jiang (IEEE Trans. Cybern., 2015)

An Effective Model for Anonymizing Personal Location Trajectory. - A. S. M. Touhidul Hasan; Qingshan Jiang; Chengming Li; Lifei Chen (ICCNS, 2016)

Segmentation of Factories on Electricity Consumption Behaviors Using Load Profile Data. - Imran Khan 003; Joshua Zhexue Huang; Md Abdul Masud; Qingshan Jiang (IEEE Access, 2016)

Gene regulatory network inference using PLS-based methods. - Shun Guo; Qingshan Jiang; Lifei Chen; Donghui Guo (BMC Bioinform., 2016)

Application of Feature Engineering for Phishing Detection. - Wei Zhang; Huan Ren; Qingshan Jiang (IEICE Trans. Inf. Syst., 2016)

A hybrid method for splice site prediction based on Markov model and codon information. - Dan Wei; Yin Peng; Yanjie Wei; Qingshan Jiang; Jinglong Fang (Int. J. Data Min. Bioinform., 2016)

An effective value swapping method for privacy preserving data publishing. - A. S. M. Touhidul Hasan; Qingshan Jiang; Jun Luo; Chengming Li; Lifei Chen (Secur. Commun. Networks, 2016)

A General Framework for Privacy Preserving Sequential Data Publishing. - A. S. M. Touhidul Hasan; Qingshan Jiang (AINA Workshops, 2017)

Drug drug interaction extraction from literature using a skeleton long short term memory neural network. - Zhenchao Jiang; Liang Gu; Qingshan Jiang (BIBM, 2017)

Performance Analysis for Content Distribution in Crowdsourced Content-Centric Mobile Networking. - Chengming Li; Xiaojie Wang 001; Shimin Gong; Zhi-Hui Wang 001; Qingshan Jiang (QSHINE, 2017)

A L1-regularized feature selection method for local dimension reduction on microarray data. - Shun Guo; Donghui Guo; Lifei Chen; Qingshan Jiang (Comput. Biol. Chem., 2017)

An Effective Grouping Method for Privacy-Preserving Bike Sharing Data Publishing. - A. S. M. Touhidul Hasan; Qingshan Jiang; Chengming Li (Future Internet, 2017)

Cluster Validation Method for Determining the Number of Clusters in Categorical Sequences. - Gongde Guo; Lifei Chen; Yanfang Ye 001; Qingshan Jiang (IEEE Trans. Neural Networks Learn. Syst., 2017)

Two-stage ELM for phishing Web pages detection using hybrid features. - Wei Zhang; Qingshan Jiang; Lifei Chen; Chengming Li (World Wide Web, 2017)

Renovating Watts and Strogatz Random Graph Generation by a Sequential Approach. - Sadegh Nobari; Qiang Qu; Muhammad Muzammal; Qingshan Jiang (WISE (1), 2018)

No Reference Image Quality Assessment based on Multi-Expert Convolutional Neural Networks. - Chunling Fan; Yun Zhang 002; Liangbing Feng; Qingshan Jiang (IEEE Access, 2018)

Robust Caching Control in Crowdsourced Content-Centric Mobile Networking. - Chengming Li; Shimin Gong; Zhaolong Ning; Laiping Zhao; Qingshan Jiang; Pan Zhou 001 (IEEE Access, 2018)

Secure and Efficient Content Distribution in Crowdsourced Vehicular Content-Centric Networking. - Chengming Li; Shimin Gong; Xiaojie Wang 001; Lei Wang 005; Qingshan Jiang; Koji Okamura (IEEE Access, 2018)

ICT Usage and Attitudes Among EAC Undergraduate Students - A Case Study. - Jean-Pierre Niyigena; Qingshan Jiang; A. S. M. Touhidul Hasan; Djemel Ziou; Hui Chen; Peiguang Wang (IEEE Access, 2018)

An Effective Privacy Architecture to Preserve User Trajectories in Reward-Based LBS Applications. - A. S. M. Touhidul Hasan; Qiang Qu; Chengming Li; Lifei Chen; Qingshan Jiang (ISPRS Int. J. Geo Inf., 2018)

Interactive Subjective Study on Picture-level Just Noticeable Difference of Compressed Stereoscopic Images. - Chunling Fan; Yun Zhang 002; Raouf Hamzaoui; Qingshan Jiang (ICASSP, 2019)

SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. - Chunling Fan; Hanhe Lin; Vlad Hosu; Yun Zhang 002; Qingshan Jiang; Raouf Hamzaoui; Dietmar Saupe (QoMEX, 2019)

A Multi-channel Visualization Method for Malware Classification Based on Deep Learning. - Yanchen Qiao; Qingshan Jiang; Zhenchao Jiang; Liang Gu (TrustCom/BigDataSE, 2019)

Picture-level just noticeable difference for symmetrically and asymmetrically compressed stereoscopic images: Subjective quality assessment study and datasets. - Chunling Fan; Yun Zhang 002; Huan Zhang 008; Raouf Hamzaoui; Qingshan Jiang (J. Vis. Commun. Image Represent., 2019)

Hybrid Fiber Optic Sensor, Based on the Fabry-Perot Interference, Assisted with Fluorescent Material for the Simultaneous Measurement of Temperature and Pressure. - Xiaofeng Jiang; Chun Lin; Yuanqing Huang 003; Kan Luo; Jianhuan Zhang; Qingshan Jiang; Chentao Zhang (Sensors, 2019)

SIAT-PJND:Picture-level Just Noticeable Difference based stereo image dataset. - Chunling Fan; Yun Zhang 002; Huan Zhang 008; Raouf Hamzaoui; Qingshan Jiang (IEEE DataPort, 2019)

A Hybrid Model for E-Learning Resources Recommendations in the Developing Countries. - Jean-Pierre Niyigena; Qingshan Jiang (ICDLT, 2020)

Blockchain Applications to combat the global trade of falsified drugs. - Yulia Kostyuchenko; Qingshan Jiang (ICDM (Workshops), 2020)

TrustedChain: A Blockchain-based Data Sharing Scheme for Supply Chain. - Gejun Le; Qifeng Gu; Qingshan Jiang; Weiyi Lin (ICDM (Workshops), 2020)

Cache-based Optimization for Block Commit of Hyperledger Fabric. - Qinqi Xu; Yimin Lin; Qingshan Jiang; Mengqiu Zhang (ICDM (Workshops), 2020)

Satisfied User Ratio Prediction with Support Vector Regression for Compressed Stereo Images. - Chunling Fan; Yun Zhang 002; Raouf Hamzaoui; Djemel Ziou; Qingshan Jiang (ICME Workshops, 2020)

A Real-time Temperature Anomaly Detection Method for IoT Data. - Wei Liu; Hongyi Jiang; Dandan Che; Lifei Chen; Qingshan Jiang (IoTBDS, 2020)

PFBNet: a priori-fused boosting method for gene regulatory network inference. - Dandan Che; Shun Guo; Qingshan Jiang; Lifei Chen (BMC Bioinform., 2020)

AirCargoChain: A Distributed and Scalable Data Sharing Approach of Blockchain for Air Cargo. - Gejun Le; Qifeng Gu; Qiang Qu; Qingshan Jiang; Jianping Fan 002 (J. Grid Comput., 2020)

Low latency LDPC hard-decision algorithm for 5G NR. - Ao Li; Qingshan Jiang; Kai Xie; Menglei Wang; Long Li; Wei Luo (IET Circuits Devices Syst., 2020)

Directional statistics-based quality measure for spotlight color images. - Fatma Kerouh; Djemel Ziou; Qingshan Jiang (Signal Image Video Process., 2020)

Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. - Bowen Qin; Min Yang 007; Lidong Bing; Qingshan Jiang; Chengming Li; Ruifeng Xu 001 (AAAI, 2021)

Low latency Improved Weighted Hard-Decision LDPC Algorithm for 5G NR. - Ao Li; Qingshan Jiang; Wei Luo (ICCCS, 2021)

A Unified Non-CQI-based AMC Scheme for 5G NR Downlink and Uplink Transmissions. - Long Li; Qingshan Jiang; Wei Luo (ICCCS, 2021)

A Strategy-based Optimization Algorithm to Design Codes for DNA Data Storage System. - Abdur Rasool; Qiang Qu; Qingshan Jiang; Yang Wang 006 (ICA3PP (2), 2021)

A Supervised Learning Model for Detecting Ponzi Contracts in Ethereum Blockchain. - Ali Aljofey; Qingshan Jiang; Qiang Qu (ICBDS, 2021)

Towards Convergence of Blockchain and Self-sovereign Identity for Privacy-Preserving Secure Federated Learning. - Rakib Ul Haque; A. S. M. Touhidul Hasan; Apubra Daria; Qiang Qu; Qingshan Jiang (ICBDS, 2021)

A Cryptocurrency Price Prediction Model Based on Twitter Sentiment Indicators. - Zi Ye; Weichen Liu; Qiang Qu; Qingshan Jiang; Yi Pan 001 (ICBDS, 2021)

Improving Relation Extraction by Knowledge Representation Learning. - Wenxing Hong; Shuyan Li; Zhiqiang Hu; Abdur Rasool; Qingshan Jiang; Yang Weng (ICTAI, 2021)

A MVCC Approach to Parallelizing Interoperability of Consortium Blockchain. - Weiyi Lin; Qiang Qu; Li Ning 001; Jianping Fan 002; Qingshan Jiang (PDCAT, 2021)

LSTM based Model for Real-time Stock Market Prediction on Unexpected Incidents. - Saba Aslam; Abdur Rasool; Qingshan Jiang; Qiang Qu (RCAR, 2021)

WRS: A Novel Word-embedding Method for Real-time Sentiment with Integrated LSTM-CNN Model. - Abdur Rasool; Qingshan Jiang; Qiang Qu; Chaojie Ji (RCAR, 2021)

Learning-Based Satisfied User Ratio Prediction for Symmetrically and Asymmetrically Compressed Stereoscopic Images. - Chunling Fan; Yun Zhang 002; Raouf Hamzaoui; Djemel Ziou; Qingshan Jiang (IEEE Multim., 2021)

An Overlapping Community Detection Approach in Ego-Splitting Networks Using Symmetric Nonnegative Matrix Factorization. - Mingqing Huang; Qingshan Jiang; Qiang Qu; Abdur Rasool (Symmetry, 2021)

A High-Frequency Stock Price Prediction Method Based on Mode Decomposition and Deep Learning. - Weijie Chen 005; Qingshan Jiang; Xibei Jia; Abdur Rasool; Weihui Jiang (ICBDS, 2022)

A Correlational Strategy for the Prediction of High-Dimensional Stock Data by Neural Networks and Technical Indicators. - Jingwei Hong; Ping Han; Abdur Rasool; Hui Chen; Zhiling Hong; Zhong Tan; Fan Lin; Steven X. Wei; Qingshan Jiang (ICBDS, 2022)

A Hybrid Recommendation Model for Social Network Services Using Twitter Data. - Ping Han; Jingwei Hong; Abdur Rasool; Hui Chen; Yi Pan 001; Qingshan Jiang (ICWS, 2022)

A Review of Non-fungible Tokens Applications in the Real-world and Metaverse. - Saeed Banaeian Far; Seyed Mojtaba Hosseini Bamakan; Qiang Qu; Qingshan Jiang (ITQM, 2022)

Information fusion oriented heterogeneous social network for friend recommendation via community detection. - Mingqing Huang; Qingshan Jiang; Qiang Qu; Lifei Chen; Hui Chen (Appl. Soft Comput., 2022)

A self-contained and self-explanatory DNA storage system. - Min Li; Jiashu Wu; Junbiao Dai; Qingshan Jiang; Qiang Qu; Xiaoluo Huang; Yang Wang 006 (CoRR, 2022)

Towards Convergence of IoT and Blockchain for Secure Supply Chain Transaction. - A. S. M. Touhidul Hasan; Shabnam Sabah; Rakib Ul Haque; Apubra Daria; Abdur Rasool; Qingshan Jiang (Symmetry, 2022)

Reducing Spurious Correlations for Aspect-Based Sentiment Analysis with Variational Information Bottleneck and Contrastive Learning. - Mingshan Chang; Min Yang 007; Qingshan Jiang; Ruifeng Xu 001 (CoRR, 2023)

A novel secure and distributed architecture for privacy-preserving healthcare system. - Rakib Ul Haque; A. S. M. Touhidul Hasan; Apubra Daria; Abdur Rasool; Hui Chen; Qingshan Jiang; Yuqing Zhang 001 (J. Netw. Comput. Appl., 2023)

Schema dependency-enhanced curriculum pre-training for table semantic parsing. - Bowen Qin; Binyuan Hui; Lihan Wang; Min Yang 007; Binhua Li; Fei Huang 002; Luo Si; Qingshan Jiang; Yongbin Li (Knowl. Based Syst., 2023)

BO-DNA: Biologically optimized encoding model for a highly-reliable DNA data storage. - Abdur Rasool; Jingwei Hong; Qingshan Jiang; Hui Chen; Qiang Qu (Comput. Biol. Medicine, 2023)

A Micro-Topography Measurement and Compensation Method for the Key Component Surface Based on White-Light Interferometry. - Junying Chen; Boxuan Wang; Xiuyu Chen; Qingshan Jiang; Wei Feng; Zhilong Xu; Zhenye Zhao (Sensors, 2023)

Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis. - Mingshan Chang; Min Yang 007; Qingshan Jiang; Ruifeng Xu 001 (AAAI, 2024)

CoPE: Composition-based Poincaré embeddings for link prediction in knowledge graphs. - Adnan Zeb; Summaya Saif; Junde Chen; James Jianqiao Yu; Qingshan Jiang; Defu Zhang (Inf. Sci., 2024)

Contrastive variational information bottleneck for aspect-based sentiment analysis. - Mingshan Chang; Min Yang 007; Qingshan Jiang; Ruifeng Xu 001 (Knowl. Based Syst., 2024)

LLM-MalDetect: A Large Language Model-Based Method for Android Malware Detection. - Ruirui Feng; Hui Chen; Shuo Wang; Md. Monjurul Karim; Qingshan Jiang (IEEE Access, 2025)

MFB: A Generalized Multimodal Fusion Approach for Bitcoin Price Prediction Using Time-Lagged Sentiment and Indicator Features. - Ping Han; Hui Chen; Abdur Rasool; Qingshan Jiang; Min Yang (Expert Syst. Appl., 2025)