Incrementally Updating High-Utility Itemsets with Transaction Insertion. - Jerry Chun-Wei Lin; Wensheng Gan; Tzung-Pei Hong; Jeng-Shyang Pan 001 (ADMA, 2014)

An Incremental Algorithm for Maintaining the Built FUSP Trees Based on the Pre-large Concepts. - Chun-Wei Lin 001; Wensheng Gan; Tzung-Pei Hong; Raylin Tso (ECC (1), 2014)

Maintaining high-utility itemsets in dynamic databases. - Chun-Wei Lin 001; Wensheng Gan; Tzung-Pei Hong; Chien-Ming Chen 001 (ICMLC, 2014)

A Modified Maintenance Algorithm for Updating FUSP Tree in Dynamic Database. - Ci-Rong Li; Chun-Wei Lin 001; Wensheng Gan; Tzung-Pei Hong (IEA/AIE (1), 2014)

Updating the Built FUSP Trees with Sequence Deletion Based on Prelarge Concept. - Chun-Wei Lin 001; Wensheng Gan; Tzung-Pei Hong; Jeng-Shyang Pan 001 (MISNC, 2014)

Efficiently Maintaining the Fast Updated Sequential Pattern Trees With Sequence Deletion. - Jerry Chun-Wei Lin; Wensheng Gan; Tzung-Pei Hong (IEEE Access, 2014)

Maintaining the discovered sequential patterns for sequence insertion in dynamic databases. - Binbin Zhang; Chun-Wei Lin 001; Wensheng Gan; Tzung-Pei Hong (Eng. Appl. Artif. Intell., 2014)

Mining Weighted Frequent Itemsets with the Recency Constraint. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong (APWeb, 2015)

Mining Potential High-Utility Itemsets over Uncertain Databases. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Vincent S. Tseng (ASE BD&SI, 2015)

Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong (C3S2E, 2015)

Mining high-utility itemsets with various discount strategies. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Vincent S. Tseng (DSAA, 2015)

Hewin: High expected weighted itemset mining in uncertain databases. - Jerry Chun-Wei Lin; Wensheng Gan; Tzung-Pei Hong; Vincent S. Tseng (ICMLC, 2015)

A Fast Algorithm to Maintain the Discovered High-Utility Itemsets with Modified Records. - Jerry Chun-Wei Lin; Wensheng Gan; Tzung-Pei Hong (SMC, 2015)

A fast updated algorithm to maintain the discovered high-utility itemsets for transaction modification. - Jerry Chun-Wei Lin; Wensheng Gan; Tzung-Pei Hong (Adv. Eng. Informatics, 2015)

Efficient algorithms for mining up-to-date high-utility patterns. - Jerry Chun-Wei Lin; Wensheng Gan; Tzung-Pei Hong; Vincent S. Tseng (Adv. Eng. Informatics, 2015)

RWFIM: Recent weighted-frequent itemsets mining. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong (Eng. Appl. Artif. Intell., 2015)

Incrementally updating the discovered sequential patterns based on pre-large concept. - Jerry Chun-Wei Lin; Tzung-Pei Hong; Wensheng Gan; Hsin-Yi Chen; Sheng-Tun Li (Intell. Data Anal., 2015)

Updating the Built Prelarge Fast Updated Sequential Pattern Trees with Sequence Modification. - Jerry Chun-Wei Lin; Wensheng Gan; Tzung-Pei Hong; Jingliang Zhang (Int. J. Data Warehous. Min., 2015)

Peer-to-peer usage analysis in dynamic databases. - Chun-Wei Lin 001; Wensheng Gan; Tzung-Pei Hong; Sang Oh Park; Bo-Wei Chen (Peer-to-Peer Netw. Appl., 2015)

Mining Discriminative High Utility Patterns. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong (ACIIDS (2), 2016)

Mining Recent High Expected Weighted Itemsets from Uncertain Databases. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao (APWeb (1), 2016)

Mining Recent High-Utility Patterns from Temporal Databases with Time-Sensitive Constraint. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao (DaWaK, 2016)

More Efficient Algorithms for Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao (DEXA (1), 2016)

Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong (MLDM, 2016)

Efficient algorithms for mining recent weighted frequent itemsets in temporal transactional databases. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong (SAC, 2016)

More Efficient Algorithm for Mining Frequent Patterns with Multiple Minimum Supports. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao (WAIM (1), 2016)

Efficient Mining of Uncertain Data for High-Utility Itemsets. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Vincent S. Tseng (WAIM (1), 2016)

Fast algorithms for mining high-utility itemsets with various discount strategies. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Vincent S. Tseng (Adv. Eng. Informatics, 2016)

Weighted frequent itemset mining over uncertain databases. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Vincent S. Tseng (Appl. Intell., 2016)

Maintaining the discovered high-utility itemsets with transaction modification. - Jerry Chun-Wei Lin; Wensheng Gan; Tzung-Pei Hong (Appl. Intell., 2016)

A fast maintenance algorithm of the discovered high-utility itemsets with transaction deletion. - Jerry Chun-Wei Lin; Wensheng Gan; Tzung-Pei Hong (Intell. Data Anal., 2016)

An efficient algorithm to maintain the discovered frequent sequences with record deletion. - Jerry Chun-Wei Lin; Wensheng Gan; Tzung-Pei Hong; Hsin-Yi Chen; Sheng-Tun Li (Intell. Data Anal., 2016)

Efficiently Updating the Discovered Sequential Patterns for Sequence Modification. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong (Int. J. Softw. Eng. Knowl. Eng., 2016)

FHN: An efficient algorithm for mining high-utility itemsets with negative unit profits. - Jerry Chun-Wei Lin; Philippe Fournier-Viger; Wensheng Gan (Knowl. Based Syst., 2016)

Efficient algorithms for mining high-utility itemsets in uncertain databases. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Vincent S. Tseng (Knowl. Based Syst., 2016)

Efficient mining of high-utility itemsets using multiple minimum utility thresholds. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Justin Zhan (Knowl. Based Syst., 2016)

Updating high-utility pattern trees with transaction modification. - Chun-Wei Lin 001; Binbin Zhang; Wensheng Gan; Bo-Wei Chen; Seungmin Rho; Tzung-Pei Hong (Multim. Tools Appl., 2016)

Exploiting High Utility Occupancy Patterns. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao (APWeb/WAIM (1), 2017)

Extracting Non-redundant Correlated Purchase Behaviors by Utility Measure. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao (DaWaK, 2017)

Mining High-Utility Itemsets with Both Positive and Negative Unit Profits from Uncertain Databases. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Vincent S. Tseng (PAKDD (1), 2017)

Efficiently mining frequent itemsets with weight and recency constraints. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Han-Chieh Chao; Tzung-Pei Hong (Appl. Intell., 2017)

Extracting recent weighted-based patterns from uncertain temporal databases. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Jimmy Ming-Tai Wu; Justin Zhan (Eng. Appl. Artif. Intell., 2017)

Mining of frequent patterns with multiple minimum supports. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Justin Zhan (Eng. Appl. Artif. Intell., 2017)

Mining Weighted Frequent Itemsets without Candidate Generation in Uncertain Databases. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Han-Chieh Chao (Int. J. Inf. Technol. Decis. Mak., 2017)

FDHUP: Fast algorithm for mining discriminative high utility patterns. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Han-Chieh Chao (Knowl. Inf. Syst., 2017)

Efficiently mining uncertain high-utility itemsets. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Vincent S. Tseng (Soft Comput., 2017)

Cover Image, Volume 7, Issue 6. - Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao; Justin Zhan (WIREs Data Mining Knowl. Discov., 2017)

Data mining in distributed environment: a survey. - Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao; Justin Zhan (WIREs Data Mining Knowl. Discov., 2017)

CoUPM: Correlated Utility-based Pattern Mining. - Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao; Tzung-Pei Hong; Philip S. Yu (IEEE BigData, 2018)

Privacy Preserving Utility Mining: A Survey. - Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao; Shyue-Liang Wang; Philip S. Yu (IEEE BigData, 2018)

PPSF: An Open-Source Privacy-Preserving and Security Mining Framework. - Jerry Chun-Wei Lin; Philippe Fournier-Viger; Lintai Wu; Wensheng Gan; Youcef Djenouri; Ji Zhang 001 (ICDM Workshops, 2018)

Exploiting highly qualified pattern with frequency and weight occupancy. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Justin Zhan; Ji Zhang 001 (Knowl. Inf. Syst., 2018)

Extracting non-redundant correlated purchase behaviors by utility measure. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Hamido Fujita (Knowl. Based Syst., 2018)

A survey of incremental high-utility itemset mining. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Tzung-Pei Hong; Hamido Fujita (WIREs Data Mining Knowl. Discov., 2018)

Utility-Driven Mining of High Utility Episodes. - Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao; Philip S. Yu (IEEE BigData, 2019)

ProUM: High Utility Sequential Pattern Mining. - Wensheng Gan; Jerry Chun-Wei Lin; Jiexiong Zhang; Han-Chieh Chao; Hamido Fujita; Philip S. Yu (SMC, 2019)

Fast Utility Mining on Complex Sequences. - Wensheng Gan; Jerry Chun-Wei Lin; Jiexiong Zhang; Philippe Fournier-Viger; Han-Chieh Chao; Philip S. Yu (CoRR, 2019)

Correlated utility-based pattern mining. - Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao; Hamido Fujita; Philip S. Yu (Inf. Sci., 2019)

A Survey of Parallel Sequential Pattern Mining. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2019)

OSUMI: On-Shelf Utility Mining from Itemset-based Data. - Jiahui Chen 002; Xu Guo 003; Wensheng Gan; Chien-Ming Chen 001; Weiping Ding 001; Guoting Chen (IEEE BigData, 2020)

TopHUI: Top-k high-utility itemset mining with negative utility. - Wensheng Gan; Shicheng Wan; Jiahui Chen 002; Chien-Ming Chen 001; Lina Qiu (IEEE BigData, 2020)

UHUOPM: High Utility Occupancy Pattern Mining in Uncertain Data. - Chien-Ming Chen 001; Lili Chen; Wensheng Gan; Lina Qiu; Weiping Ding 001 (SMC, 2020)

SESM: Emotional Social Semantic and Time Series Analysis of Learners' Comments. - Jinta Weng; Wensheng Gan; Guozhu Ding; Zhihong Tian; Ying Gao 003; Jing Qiu 002 (SMC, 2020)

TKUS: Mining Top-K High-Utility Sequential Patterns. - Chunkai Zhang; Zilin Du; Wensheng Gan; Philip S. Yu (CoRR, 2020)

ProUM: Projection-based utility mining on sequence data. - Wensheng Gan; Jerry Chun-Wei Lin; Jiexiong Zhang; Han-Chieh Chao; Hamido Fujita; Philip S. Yu (Inf. Sci., 2020)

Utility-Driven Data Analytics on Uncertain Data. - Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao; Athanasios V. Vasilakos; Philip S. Yu (IEEE Syst. J., 2020)

HUOPM: High-Utility Occupancy Pattern Mining. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Philip S. Yu (IEEE Trans. Cybern., 2020)

Utility Mining across Multi-Sequences with Individualized Thresholds. - Wensheng Gan; Jerry Chun-Wei Lin; Jiexiong Zhang; Philip S. Yu (Trans. Data Sci., 2020)

Utility-Driven Mining of Trend Information for Intelligent System. - Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao; Philippe Fournier-Viger; Xuan Wang 002; Philip S. Yu (ACM Trans. Manag. Inf. Syst., 2020)

TKQ: Top-K Quantitative High Utility Itemset Mining. - Mourad Nouioua; Philippe Fournier-Viger; Wensheng Gan; Youxi Wu; Jerry Chun-Wei Lin; Farid Nouioua (ADMA, 2021)

Mining On-shelf High-utility Quantitative Itemsets. - Lili Chen; Wensheng Gan; Qi Lin; Jinbao Miao; Chien-Ming Chen 001 (IEEE BigData, 2021)

NSPIS: Mining Negative Sequential Patterns with Individual Support. - Gengsen Huang; Wensheng Gan; Shan Huang 009; Jiahui Chen 002; Chien-Ming Chen 001 (IEEE BigData, 2021)

Joint Utility and Frequency for Pattern Classification. - Qi Lin; Wensheng Gan; Yongdong Wu; Jiahui Chen 002; Chien-Ming Chen 001 (IEEE BigData, 2021)

A Reinforced Dynamic Multi-keyword Ranked Search with Forward Privacy. - Chien-Ming Chen 001; Zhuoyu Tie; Eric Ke Wang; Kuo-Hui Yeh; Wensheng Gan; SK Hafizul Islam (DSC, 2021)

On the Construction of a Post-Quantum Blockchain. - Jiahui Chen 002; Wensheng Gan; Muchuang Hu; Chien-Ming Chen 001 (DSC, 2021)

A Generic Knowledge Based Medical Diagnosis Expert System. - Xin Huang 005; Xuejiao Tang; Wenbin Zhang 002; Ji Zhang 001; Mingli Zhang; Wensheng Gan; Shichao Pei; Zhen Liu 017; Yiyi Huang (iiWAS, 2021)

CHUQI-Miner: Mining Correlated Quantitative High Utility Itemsets. - Mourad Nouioua; Philippe Fournier-Viger; Jun-Feng Qu; Jerry Chun-Wei Lin; Wensheng Gan; Wei Song 004 (ICDM (Workshops), 2021)

TopUMS: Top-k Utility Mining in Stream Data. - Wei Song 004; Caiyu Fang; Wensheng Gan (ICDM (Workshops), 2021)

Machine Learning for Intelligent Industrial Design. - Philippe Fournier-Viger; M. Saqib Nawaz; Wei Song 004; Wensheng Gan (PKDD/ECML Workshops (2), 2021)

A jumping mining attack and solution. - Muchuang Hu; Jiahui Chen 002; Wensheng Gan; Chien-Ming Chen 001 (Appl. Intell., 2021)

FHUQI-Miner: Fast high utility quantitative itemset mining. - Mourad Nouioua; Philippe Fournier-Viger; Cheng-Wei Wu; Jerry Chun-Wei Lin; Wensheng Gan (Appl. Intell., 2021)

TOPIC: Top-k High-Utility Itemset Discovering. - Jiahui Chen 002; Shicheng Wan; Wensheng Gan; Guoting Chen; Hamido Fujita (CoRR, 2021)

THUE: Discovering Top-K High Utility Episodes. - Shicheng Wan; Jiahui Chen 002; Wensheng Gan; Guoting Chen; Vikram Goyal (CoRR, 2021)

A Generic Knowledge Based Medical Diagnosis Expert System. - Xin Huang 005; Xuejiao Tang; Wenbin Zhang 002; Shichao Pei; Ji Zhang 001; Wensheng Gan; Mingli Zhang; Zhen Liu 017; Ruijun Chen; Yiyi Huang (CoRR, 2021)

Utility-driven Mining of Contiguous Sequences. - Chunkai Zhang; Quanjian Dai; Zilin Du; Wensheng Gan; Jian Weng 001; Philip S. Yu (CoRR, 2021)

FUIM: Fuzzy Utility Itemset Mining. - Shicheng Wan; Wensheng Gan; Xu Guo 003; Jiahui Chen 002; Unil Yun (CoRR, 2021)

TargetUM: Targeted High-Utility Itemset Querying. - Jinbao Miao; Shicheng Wan; Wensheng Gan; Jiayi Sun; Jiahui Chen 002 (CoRR, 2021)

Flexible Pattern Discovery and Analysis. - Chien-Ming Chen 001; Lili Chen; Wensheng Gan (CoRR, 2021)

Discovering high utility-occupancy patterns from uncertain data. - Chien-Ming Chen 001; Lili Chen; Wensheng Gan; Lina Qiu; Weiping Ding 001 (Inf. Sci., 2021)

TKUS: Mining top-k high utility sequential patterns. - Chunkai Zhang; Zilin Du; Wensheng Gan; Philip S. Yu (Inf. Sci., 2021)

On the construction of a post-quantum blockchain for smart city. - Jiahui Chen 002; Wensheng Gan; Muchuang Hu; Chien-Ming Chen 001 (J. Inf. Secur. Appl., 2021)

Multiauthority Attribute-Based Encryption with Traceable and Dynamic Policy Updating. - Jie Ling 002; Junwei Chen; Jiahui Chen 002; Wensheng Gan (Secur. Commun. Networks, 2021)

Fast Utility Mining on Sequence Data. - Wensheng Gan; Jerry Chun-Wei Lin; Jiexiong Zhang; Philippe Fournier-Viger; Han-Chieh Chao; Philip S. Yu (IEEE Trans. Cybern., 2021)

Towards Revenue Maximization with Popular and Profitable Products. - Wensheng Gan; Guoting Chen; Hongzhi Yin; Philippe Fournier-Viger; Chien-Ming Chen 001; Philip S. Yu (Trans. Data Sci., 2021)

Explainable Fuzzy Utility Mining on Sequences. - Wensheng Gan; Zilin Du; Weiping Ding 001; Chunkai Zhang; Han-Chieh Chao (IEEE Trans. Fuzzy Syst., 2021)

A secure blockchain-based group key agreement protocol for IoT. - Chien-Ming Chen 001; Xiaoting Deng; Wensheng Gan; Jiahui Chen 002; SK Hafizul Islam (J. Supercomput., 2021)

Utility Mining Across Multi-Dimensional Sequences. - Wensheng Gan; Jerry Chun-Wei Lin; Jiexiong Zhang; Hongzhi Yin; Philippe Fournier-Viger; Han-Chieh Chao; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2021)

A Survey of Utility-Oriented Pattern Mining. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Vincent S. Tseng; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2021)

Beyond Frequency: Utility Mining with Varied Item-specific Minimum Utility. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Philip S. Yu (ACM Trans. Internet Techn., 2021)

Federated Learning Attacks and Defenses: A Survey. - Yao Chen; Yijie Gui; Hong Lin; Wensheng Gan; Yongdong Wu (IEEE Big Data, 2022)

Metaverse Security and Privacy: An Overview. - Zefeng Chen; Jiayang Wu 001; Wensheng Gan; Zhenlian Qi (IEEE Big Data, 2022)

Flexibly Mining Better Patterns. - Gengsen Huang; Wensheng Gan; Long Li 005; Tianlong Gu; Jiahui Chen 002 (IEEE Big Data, 2022)

Metaverse in Education: Vision, Opportunities, and Challenges. - Hong Lin; Shicheng Wan; Wensheng Gan; Jiahui Chen 002; Han-Chieh Chao (IEEE Big Data, 2022)

Pattern Discovery with Utility Occupancy. - Jiayi Sun; Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao (IEEE Big Data, 2022)

Targeted Mining of Rare High-Utility Patterns. - Peifeng Zhang; Jiahui Chen 002; Shicheng Wan; Wensheng Gan (IEEE Big Data, 2022)

Frequent Itemset Mining with Local Differential Privacy. - Junhui Li; Wensheng Gan; Yijie Gui; Yongdong Wu; Philip S. Yu (CIKM, 2022)

Pattern Mining: Current Challenges and Opportunities. - Philippe Fournier-Viger; Wensheng Gan; Youxi Wu; Mourad Nouioua; Wei Song 004; Tin C. Truong; Hai Van Duong (DASFAA (Workshops), 2022)

Fast Mining RFM Patterns for Behavioral Analytics. - Shicheng Wan; Jieying Deng; Wensheng Gan; Jiahui Chen 002; Philip S. Yu (DSAA, 2022)

Constraint-based Sequential Rule Mining. - Zhaowen Yin; Wensheng Gan; Gengsen Huang; Yongdong Wu; Philippe Fournier-Viger (DSAA, 2022)

Behavioral Sequence Classification with Constraints. - Jiayang Wu 001; Wensheng Gan; Zhenlian Qi (ICDIS, 2022)

Fuzzy Utility Mining on Temporal Data. - Zhenqiang Ye; Shicheng Wan; Wensheng Gan; Jiahui Chen 002; Linlin Tang (ICDIS, 2022)

Weighted Contiguous Sequential Pattern Mining. - Tingfu Zhou; Wensheng Gan; Zhenlian Qi (ICDIS, 2022)

Mining Valuable Fuzzy Patterns via the RFM Model. - Yanlin Qi; Fuyin Lai; Guoting Chen; Wensheng Gan (ICDM (Workshops), 2022)

Ultra-short-Term Load Forecasting Model Based on VMD and TGCN-GRU. - Meirong Ding; Hang Zhang; Biqing Zeng; Gaoyan Cai; Yuan Chai; Wensheng Gan (IEA/AIE, 2022)

Fast Weighted Sequential Pattern Mining. - Zhenqiang Ye; Ziyang Li; Weibin Guo; Wensheng Gan; Shicheng Wan; Jiahui Chen 002 (IEA/AIE, 2022)

Sybil-resistant Truth Discovery in Crowdsourcing by Exploiting the Long-tail Effect. - Dejia Lin; Yongdong Wu; Wensheng Gan (TrustCom, 2022)

Mining with Rarity for Web Intelligence. - Yijie Gui; Wensheng Gan; Yao Chen; Yongdong Wu (WWW (Companion Volume), 2022)

Fast RFM Model for Customer Segmentation. - Shicheng Wan; Jiahui Chen 002; Zhenlian Qi; Wensheng Gan; Linlin Tang (WWW (Companion Volume), 2022)

Discovering Top-k Profitable Patterns for Smart Manufacturing. - Shicheng Wan; Jiahui Chen 002; Peifeng Zhang; Wensheng Gan; Tianlong Gu (WWW (Companion Volume), 2022)

FRI-miner: fuzzy rare itemset mining. - Yanling Cui; Wensheng Gan; Hong Lin; Weimin Zheng (Appl. Intell., 2022)

Towards Target High-Utility Itemsets. - Jinbao Miao; Wensheng Gan; Shicheng Wan; Yongdong Wu; Philippe Fournier-Viger (CoRR, 2022)

Temporal Fuzzy Utility Maximization with Remaining Measure. - Shicheng Wan; Zhenqiang Ye; Wensheng Gan; Jiahui Chen 002 (CoRR, 2022)

Itemset Utility Maximization with Correlation Measure. - Jiahui Chen 002; Yixin Xu; Shicheng Wan; Wensheng Gan; Jerry Chun-Wei Lin (CoRR, 2022)

A Generic Algorithm for Top-K On-Shelf Utility Mining. - Jiahui Chen 002; Xu Guo 003; Wensheng Gan; Shicheng Wan; Philip S. Yu (CoRR, 2022)

Contrast Pattern Mining: A Survey. - Yao Chen; Wensheng Gan; Yongdong Wu; Philip S. Yu (CoRR, 2022)

Metaverse: Survey, Applications, Security, and Opportunities. - Jiayi Sun; Wensheng Gan; Han-Chieh Chao; Philip S. Yu (CoRR, 2022)

Towards Correlated Sequential Rules. - Lili Chen; Wensheng Gan; Chien-Ming Chen 001 (CoRR, 2022)

Big Data Meets Metaverse: A Survey. - Jiayi Sun; Wensheng Gan; Zefeng Chen; Junhui Li; Philip S. Yu (CoRR, 2022)

MDL-based Compressing Sequential Rules. - Xinhong Chen 004; Wensheng Gan; Shicheng Wan; Tianlong Gu (CoRR, 2022)

On-shelf utility mining from transaction database. - Jiahui Chen 002; Xu Guo 003; Wensheng Gan; Chien-Ming Chen 001; Weiping Ding 001; Guoting Chen (Eng. Appl. Artif. Intell., 2022)

Fuzzy-driven periodic frequent pattern mining. - Xiaojie Zhang; Yanlin Qi; Guoting Chen; Wensheng Gan; Philippe Fournier-Viger (Inf. Sci., 2022)

Negative pattern discovery with individual support. - Gengsen Huang; Wensheng Gan; Shan Huang 009; Jiahui Chen 002 (Knowl. Based Syst., 2022)

OHUQI: Mining on-shelf high-utility quantitative itemsets. - Lili Chen; Wensheng Gan; Qi Lin; Shuqiang Huang; Chien-Ming Chen 001 (J. Supercomput., 2022)

On-Shelf Utility Mining of Sequence Data. - Chunkai Zhang; Zilin Du; Yuting Yang 005; Wensheng Gan; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2022)

Smart System: Joint Utility and Frequency for Pattern Classification. - Qi Lin; Wensheng Gan; Yongdong Wu; Jiahui Chen 002; Chien-Ming Chen 001 (ACM Trans. Manag. Inf. Syst., 2022)

FSKY-Miner: Fast Mining of Skyline Patterns. - Chengdong Chen; Wensheng Gan; Jiahui Chen 002; Shicheng Wan (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Frequent Subgraph Mining in Dynamic Databases. - Zhaoming Chen; Xinyang Chen; Guoting Chen; Wensheng Gan (IEEE Big Data, 2023)

Large Language Models in Education: Vision and Opportunities. - Wensheng Gan; Zhenlian Qi; Jiayang Wu 001; Jerry Chun-Wei Lin (IEEE Big Data, 2023)

Model-as-a-Service (MaaS): A Survey. - Wensheng Gan; Shicheng Wan; Philip S. Yu (IEEE Big Data, 2023)

ODTT: Optimized Dynamic Taxonomy Tree with Differential Privacy. - Yijie Gui; Qizhi Chen; Wensheng Gan; Yongdong Wu (IEEE Big Data, 2023)

Targeted Querying of Closed High-Utility Itemsets. - Shan Huang 009; Wensheng Gan; Jinbao Miao (IEEE Big Data, 2023)

Interaction in Metaverse: A Survey. - Hong Lin; Zirun Gan; Wensheng Gan; Zhenlian Qi; Yuehua Wang; Philip S. Yu (IEEE Big Data, 2023)

USER: Towards High-Utility Sequential Rules with Repetitive Items. - Hong Lin; Wensheng Gan; Gengsen Huang; Philip S. Yu (IEEE Big Data, 2023)

Multimodal Large Language Models: A Survey. - Jiayang Wu 001; Wensheng Gan; Zefeng Chen; Shicheng Wan; Philip S. Yu (IEEE Big Data, 2023)

Mining Rare Utility Patterns within Target Items. - Yixin Xu; Cuiwei Peng; Jiahui Chen 002; Wensheng Gan; Shicheng Wan (IEEE Big Data, 2023)

Towards Contiguous Sequences in Uncertain Data. - Zefeng Chen; Wensheng Gan; Gengsen Huang; Yanxin Zheng; Philip S. Yu (DSAA, 2023)

Incremental Targeted Mining in Sequences. - Kaixia Hu; Wensheng Gan; Gengsen Huang; Guoting Chen; Jerry Chun-Wei Lin (DSAA, 2023)

Distributed Training of Large Language Models. - Fanlong Zeng; Wensheng Gan; Yongheng Wang; Philip S. Yu (ICPADS, 2023)

Fast RFM Analysis in Sequence Data. - Yanxin Zheng; Wensheng Gan; Zefeng Chen; Pinlyu Zhou; Xiangxiao Diao (ICPADS, 2023)

Multi-Dimensional Graph Rule Learner. - Jiayang Wu 001; Zhenlian Qi; Wensheng Gan (KSEM (1), 2023)

Federated Learning for Metaverse: A Survey. - Yao Chen; Shan Huang 009; Wensheng Gan; Gengsen Huang; Yongdong Wu (WWW (Companion Volume), 2023)

Web 3.0: The Future of Internet. - Wensheng Gan; Zhenqiang Ye; Shicheng Wan; Philip S. Yu (WWW (Companion Volume), 2023)

The Human-Centric Metaverse: A Survey. - Riyan Yang; Lin Li 074; Wensheng Gan; Zefeng Chen; Zhenlian Qi (WWW (Companion Volume), 2023)

Weighted Statistically Significant Pattern Mining. - Tingfu Zhou; Zhenlian Qi; Wensheng Gan; Shicheng Wan; Guoting Chen (WWW (Companion Volume), 2023)

AI-Generated Content (AIGC): A Survey. - Jiayang Wu 001; Wensheng Gan; Zefeng Chen; Shicheng Wan; Hong Lin (CoRR, 2023)

Towards Top-K Non-Overlapping Sequential Patterns. - Zefeng Chen; Wensheng Gan; Gengsen Huang; Yan Li; Zhenlian Qi (CoRR, 2023)

TALENT: Targeted Mining of Non-overlapping Sequential Patterns. - Zefeng Chen; Wensheng Gan; Gengsen Huang; Zhenlian Qi; Yan Li; Philip S. Yu (CoRR, 2023)

Discovering Utility-driven Interval Rules. - Chunkai Zhang; Maohua Lyu; Huaijin Hao; Wensheng Gan; Philip S. Yu (CoRR, 2023)

Large Language Models for Robotics: A Survey. - Fanlong Zeng; Wensheng Gan; Yongheng Wang; Ning Liu; Philip S. Yu (CoRR, 2023)

Mining periodic high-utility itemsets with both positive and negative utilities. - Fuyin Lai; Xiaojie Zhang; Guoting Chen; Wensheng Gan (Eng. Appl. Artif. Intell., 2023)

Targeted High-Utility Itemset Querying. - Jinbao Miao; Shicheng Wan; Wensheng Gan; Jiayi Sun; Jiahui Chen 002 (IEEE Trans. Artif. Intell., 2023)

Data Analytic for Healthcare Cyber Physical System. - Wensheng Gan; Kaixia Hu; Gengsen Huang; Wei-Che Chien; Han-Chieh Chao; Weizhi Meng 001 (IEEE Trans. Netw. Sci. Eng., 2023)

US-Rule: Discovering Utility-driven Sequential Rules. - Gengsen Huang; Wensheng Gan; Jian Weng 001; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2023)

Multi-view knowledge graph fusion via knowledge-aware attentional graph neural network. - Zhichao Huang 001; Xutao Li; Yunming Ye; Baoquan Zhang; Guangning Xu; Wensheng Gan (Appl. Intell., 2023)

TUSQ: Targeted High-Utility Sequence Querying. - Chunkai Zhang; Quanjian Dai; Zilin Du; Wensheng Gan; Jian Weng 001; Philip S. Yu (IEEE Trans. Big Data, 2023)

Privacy-preserving federated mining of frequent itemsets. - Yao Chen; Wensheng Gan; Yongdong Wu; Philip S. Yu (Inf. Sci., 2023)

Discovering High Utility Episodes in Sequences. - Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao; Philip S. Yu (IEEE Trans. Artif. Intell., 2023)

Internet of Behaviors: A Survey. - Jiayi Sun; Wensheng Gan; Han-Chieh Chao; Philip S. Yu; Weiping Ding 001 (IEEE Internet Things J., 2023)

Mining high-utility sequences with positive and negative values. - Xiaojie Zhang; Fuyin Lai; Guoting Chen; Wensheng Gan (Inf. Sci., 2023)

Mining periodic trends via closed high utility patterns. - Yanlin Qi; Xiaojie Zhang; Guoting Chen; Wensheng Gan (Expert Syst. Appl., 2023)

F-RFM-Miner: an efficient algorithm for mining fuzzy patterns using the recency-frequency-monetary model. - Yanlin Qi; Fuyin Lai; Guoting Chen; Wensheng Gan (Appl. Intell., 2023)

Targeted mining of top-k high utility itemsets. - Shan Huang 009; Wensheng Gan; Jinbao Miao; Xuming Han; Philippe Fournier-Viger (Eng. Appl. Artif. Intell., 2023)

HEPM: High-efficiency pattern mining. - Xiaojie Zhang; Guoting Chen; Linqi Song; Wensheng Gan; Yunling Song (Knowl. Based Syst., 2023)

A multiobjective differential evolution algorithm with subpopulation region solution selection for global and local Pareto optimal sets. - Ting Zhou; Xuming Han; Limin Wang 011; Wensheng Gan; Yali Chu; Minghan Gao (Swarm Evol. Comput., 2023)

Anomaly Rule Detection in Sequence Data. - Wensheng Gan; Lili Chen; Shicheng Wan; Jiahui Chen 002; Chien-Ming Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

Drug-gene Associations with Graph Learning. - Jiayang Wu 001; Wensheng Gan; Jinqi Lai; Guoting Chen; Philip S. Yu (BCB, 2024)

RFMI-based Customer Segmentation with K-means. - Wensheng Gan; Pinlyu Zhou; Shicheng Wan; Jiyuan Zeng; Zhenlian Qi (IEEE Big Data, 2024)

Open Metaverse: Issues, Evolution, and Future. - Zefeng Chen; Wensheng Gan; Jiayi Sun; Jiayang Wu 001; Philip S. Yu (WWW (Companion Volume), 2024)

Large language models in law: A survey. - Jinqi Lai; Wensheng Gan; Jiayang Wu 001; Zhenlian Qi; Philip S. Yu (AI Open, 2024)

Large Language Models for Education: A Survey. - Hanyi Xu; Wensheng Gan; Zhenlian Qi; Jiayang Wu 001; Philip S. Yu (CoRR, 2024)

Digital Fingerprinting on Multimedia: A Survey. - Wendi Chen; Wensheng Gan; Philip S. Yu (CoRR, 2024)

Watermarking Techniques for Large Language Models: A Survey. - Yuqing Liang; Jiancheng Xiao; Wensheng Gan; Philip S. Yu (CoRR, 2024)

SeqRFM: Fast RFM Analysis in Sequence Data. - Yanxin Zheng; Wensheng Gan; Zefeng Chen; Pinlyu Zhou; Philippe Fournier-Viger (CoRR, 2024)

MDGRL: Multi-dimensional graph rule learning. - Jiayang Wu 001; Zhenlian Qi; Wensheng Gan (Eng. Appl. Artif. Intell., 2024)

Privacy-preserving federated discovery of DNA motifs with differential privacy. - Yao Chen; Wensheng Gan; Gengsen Huang; Yongdong Wu; Philip S. Yu (Expert Syst. Appl., 2024)

Mining credible attribute rules in dynamic attributed graphs. - Cheng He; Xinyang Chen; Guoting Chen; Wensheng Gan; Philippe Fournier-Viger (Expert Syst. Appl., 2024)

FCSG-Miner: Frequent closed subgraph mining in multi-graphs. - Xinyang Chen; Jiayu Cai; Guoting Chen; Wensheng Gan; Amaël Broustet (Inf. Sci., 2024)

Towards episode rules with non-overlapping frequency and targeted mining. - Zefeng Chen; Wensheng Gan (Inf. Sci., 2024)

HUSM: High utility subgraph mining in single graph databases. - Zhaoming Chen; Cheng He; Guoting Chen; Wensheng Gan; Philippe Fournier-Viger (Inf. Sci., 2024)

Privacy preserving rare itemset mining. - Yijie Gui; Wensheng Gan; Yongdong Wu; Philip S. Yu (Inf. Sci., 2024)

Mining frequent temporal duration-based patterns on time interval sequential database. - Fuyin Lai; Guoting Chen; Wensheng Gan; Mengfeng Sun (Inf. Sci., 2024)

Towards utility-driven contiguous sequential patterns in uncertain multi-sequences. - Zefeng Chen; Wensheng Gan; Gengsen Huang; Yanxin Zheng; Philip S. Yu (Knowl. Based Syst., 2024)

Geospatial Big Data: Survey and Challenges. - Jiayang Wu 001; Wensheng Gan; Han-Chieh Chao; Philip S. Yu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Targeted mining of contiguous sequential patterns. - Kaixia Hu; Wensheng Gan; Shan Huang 009; Hao Peng; Philippe Fournier-Viger (Inf. Sci., 2024)

HUSP-SP: Faster Utility Mining on Sequence Data. - Chunkai Zhang; Yuting Yang 005; Zilin Du; Wensheng Gan; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2024)

Totally-ordered Sequential Rules for Utility Maximization. - Chunkai Zhang; Maohua Lyu; Wensheng Gan; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2024)

TaSPM: Targeted Sequential Pattern Mining. - Gengsen Huang; Wensheng Gan; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2024)

Toward Correlated Sequential Rules. - Lili Chen; Wensheng Gan; Chien-Ming Chen 001 (IEEE Trans. Artif. Intell., 2024)

Web3: The Next Internet Revolution. - Shicheng Wan; Hong Lin; Wensheng Gan; Jiahui Chen 002; Philip S. Yu (IEEE Internet Things J., 2024)

Fast mining local high-utility itemsets. - Wei Song 004; Guibin Ren; Wensheng Gan (Eng. Appl. Artif. Intell., 2025)

Skyline recency-frequency-monetary pattern mining based on different constraint degrees. - Xiaojie Zhang; Guoting Chen; Linqi Song; Wensheng Gan (Eng. Appl. Artif. Intell., 2025)

Enabling knowledge discovery through low utility itemset mining. - Xiaojie Zhang; Guoting Chen; Linqi Song; Wensheng Gan (Expert Syst. Appl., 2025)

Contrastive learning for anomaly detection in hierarchical subgraph. - Jiayang Wu 001; Wensheng Gan; Jiahao Zhang; Philip S. Yu (Knowl. Based Syst., 2025)

Short-sighted knowledge discovery in temporal transaction database via time pruning. - Xiaojie Zhang; Guoting Chen; Linqi Song; Wensheng Gan (Knowl. Based Syst., 2025)

Distributed training of large language models: A survey. - Fanlong Zeng; Wensheng Gan; Yongheng Wang; Philip S. Yu (Nat. Lang. Process. J., 2025)

ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training. - Jiayang Wu 001; Wensheng Gan; Jiahao Zhang; Philip S. Yu (CoRR, 2025)

Mixture of Experts (MoE): A Big Data Perspective. - Wensheng Gan; Zhenyao Ning; Zhenlian Qi; Philip S. Yu (CoRR, 2025)

Graph Diffusion Network for Drug-Gene Prediction. - Jiayang Wu 001; Wensheng Gan; Philip S. Yu (CoRR, 2025)

Towards More Accurate Full-Atom Antibody Co-Design. - Jiayang Wu 001; Xingyi Zhang 003; Xiangyu Dong 002; Kun Xie 010; Ziqi Liu; Wensheng Gan; Sibo Wang 001; Le Song (CoRR, 2025)

Large language models for medicine: a survey. - Yanxin Zheng; Wensheng Gan; Zefeng Chen; Zhenlian Qi; Qian Liang; Philip S. Yu (Int. J. Mach. Learn. Cybern., 2025)

Targeted Mining Precise-Positioning Episode Rules. - Jian Zhu 001; Xiaoye Chen; Wensheng Gan; Zefeng Chen; Philip S. Yu (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

AI-Generated Content in Landscape Architecture: A Survey. - Yue Xing; Wensheng Gan; Qidi Chen; Philip S. Yu (CoRR, 2025)

Towards Target Sequential Rules. - Wensheng Gan; Gengsen Huang; Jian Weng 001; Tianlong Gu; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

Targeted Mining of Time-Interval Related Patterns. - Shuang Liang; Lili Chen; Wensheng Gan; Philip S. Yu; Shengjie Zhao (CoRR, 2025)

A generic framework for mining sequences with various interestingness measures in dynamic attributed graphs. - Cheng He; Jiayu Cai; Guoting Chen; Wensheng Gan (Knowl. Inf. Syst., 2025)

Artificial intelligence in landscape architecture: a survey. - Yue Xing; Wensheng Gan; Qidi Chen (Int. J. Mach. Learn. Cybern., 2025)

Graph Contrastive Learning on Multi-label Classification for Recommendations. - Jiayang Wu 001; Wensheng Gan; Huashen Lu; Philip S. Yu (ACM Trans. Intell. Syst. Technol., 2025)

Towards Sequence Utility Maximization under Utility Occupancy Measure. - Gengsen Huang; Wensheng Gan; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2025)

Data Scarcity in Recommendation Systems: A Survey. - Zefeng Chen; Wensheng Gan; Jiayang Wu 001; Kaixia Hu; Hong Lin (Trans. Recomm. Syst., 2025)