A Swarm-Based Approach to Mine High-Utility Itemsets. - Jerry Chun-Wei Lin; Lu Yang; Philippe Fournier-Viger; Jimmy Ming-Tai Wu; Tzung-Pei Hong; Shyue-Liang Leon Wang (MISNC, 2015)

Mining of High-Utility Itemsets by ACO Algorithm. - Jimmy Ming-Thai Wu; Justin Zhan; Jerry Chun-Wei Lin (MISNC, 2016)

Mining high-utility itemsets based on particle swarm optimization. - Jerry Chun-Wei Lin; Lu Yang; Philippe Fournier-Viger; Jimmy Ming-Tai Wu; Tzung-Pei Hong; Shyue-Liang Leon Wang; Justin Zhan (Eng. Appl. Artif. Intell., 2016)

Ant Colony System Sanitization Approach to Hiding Sensitive Itemsets. - Jimmy Ming-Tai Wu; Justin Zhan; Jerry Chun-Wei Lin (IEEE Access, 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)

Efficient Mining of Multiple Fuzzy Frequent Itemsets. - Jerry Chun-Wei Lin; Ting Li 011; Philippe Fournier-Viger; Tzung-Pei Hong; Jimmy Ming-Tai Wu; Justin Zhan (Int. J. Fuzzy Syst., 2017)

An ACO-based approach to mine high-utility itemsets. - Jimmy Ming-Tai Wu; Justin Zhan; Jerry Chun-Wei Lin (Knowl. Based Syst., 2017)

New Tighter Upper Bounds for Mining High Average-Utility Itemsets. - Jimmy Ming-Tai Wu; Jerry Chun-Wei Lin; Matin Pirouz; Philippe Fournier-Viger (ICBDE, 2018)

GFSOM: Genetic Feature Selection for Ontology Matching. - Hiba Belhadi; Karima Akli-Astouati; Youcef Djenouri; Jerry Chun-Wei Lin; Jimmy Ming-Tai Wu (ICGEC, 2018)

A Public Auditing Scheme with Data Recovery. - Tsu-Yang Wu; Chien-Ming Chen 001; King-Hang Wang; Jimmy Ming-Tai Wu; Jeng-Shyang Pan 001 (ICGEC, 2018)

Security Analysis of a Public Key Authenticated Encryption with Keyword Search Scheme. - Tsu-Yang Wu; Chien-Ming Chen 001; King-Hang Wang; Jimmy Ming-Tai Wu; Jeng-Shyang Pan 001 (IIH-MSP (1), 2018)

Construct Left Ventricular Hypertrophy Prediction Model Based on Random Forest. - Jimmy Ming-Tai Wu; Meng-Hsiun Tsai; Sheng-Han Xiao; Tsu-Yang Wu (IIH-MSP (1), 2018)

A Multiple Objective PSO-Based Approach for Data Sanitization. - Jerry Chun-Wei Lin; Yuyu Zhang; Chun-Hao Chen; Jimmy Ming-Tai Wu; Chien-Ming Chen 001; Tzung-Pei Hong (TAAI, 2018)

Finding Top-k Dominance on Incomplete Big Data Using MapReduce Framework. - Payam Ezatpoor; Justin Zhan; Jimmy Ming-Tai Wu; Carter Chiu (IEEE Access, 2018)

TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns. - Jimmy Ming-Tai Wu; Jerry Chun-Wei Lin; Matin Pirouz; Philippe Fournier-Viger (IEEE Access, 2018)

Security Analysis and Improvement of An Image Encryption Scheme Based on Chaotic Tent Map. - Tsu-Yang Wu; Xiaoning Fan; King-Hang Wang; Jeng-Shyang Pan 001; Chien-Ming Chen 001; Jimmy Ming-Tai Wu (J. Inf. Hiding Multim. Signal Process., 2018)

Generalizing Concept-Drift Patterns for Fuzzy Association Rules. - Tzung-Pei Hong; Jimmy Ming-Tai Wu; Yan-Kang Li; Chun-Hao Chen (J. Netw. Intell., 2018)

A GA-based Framework for Mining High Fuzzy Utility Itemsets. - Jimmy Ming-Tai Wu; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Tomasz Wiktorski; Tzung-Pei Hong; Matin Pirouz (IEEE BigData, 2019)

A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining. - Jimmy Ming-Tai Wu; Jerry Chun-Wei Lin; Youcef Djenouri; Philippe Fournier-Viger; Yuyu Zhang (CEC, 2019)

High-Utility Itemset Mining in Big Dataset. - Jimmy Ming-Tai Wu; Jerry Chun-Wei Lin; Wei Min (ICCE-TW, 2019)

A Multiobjective-Based Group Trading Strategy Portfolio Optimization Technique. - Chun-Hao Chen; Munkhjargal Gankhuyag; Tzung-Pei Hong; Mu-En Wu; Jimmy Ming-Tai Wu (ICGEC, 2019)

A New Convolution Neural Network Model for Stock Price Prediction. - Jimmy Ming-Tai Wu; Zhongcui Li; Jerry Chun-Wei Lin; Matin Pirouz (ICGEC, 2019)

High-Utility Itemset Mining in Big Dataset. - Jimmy Ming-Tai Wu; Min Wei; Jerry Chun-Wei Lin; Chien-Ming Chen 001 (ICGEC, 2019)

An Effective BI-encoded Schema for Mention Extraction. - Jerry Chun-Wei Lin; Jimmy Ming-Tai Wu; Yinan Shao; Matin Pirouz; Binbin Zhang (MISNC, 2019)

A Latent Variable CRF Model for Labeling Prediction. - Jerry Chun-Wei Lin; Jimmy Ming-Tai Wu; Yinan Shao; Matin Pirouz; Binbin Zhang (MISNC, 2019)

Efficient Mining of High Average-Utility Sequential Patterns from Uncertain Databases. - Jerry Chun-Wei Lin; Jimmy Ming-Tai Wu; Philippe Fournier-Viger; Tzung-Pei Hong; Ting Li 011 (SMC, 2019)

A Project-based PMiner Algorithm in Uncertain Databases. - Jerry Chun-Wei Lin; Jimmy Ming-Tai Wu; Philippe Fournier-Viger; Chun-Hao Chen; Ting Li 011 (TAAI, 2019)

A Sanitization Approach to Secure Shared Data in an IoT Environment. - Jerry Chun-Wei Lin; Jimmy Ming-Tai Wu; Philippe Fournier-Viger; Youcef Djenouri; Chun-Hao Chen; Yuyu Zhang (IEEE Access, 2019)

Security Analysis and Enhancement of a Certificateless Searchable Public Key Encryption Scheme for IIoT Environments. - Tsu-Yang Wu; Chien-Ming Chen 001; King-Hang Wang; Jimmy Ming-Tai Wu (IEEE Access, 2019)

A DNA Computation-Based Image Encryption Scheme for Cloud CCTV Systems. - Tsu-Yang Wu; Xiaoning Fan; King-Hang Wang; Chin-Feng Lai; Naixue Xiong; Jimmy Ming-Tai Wu (IEEE Access, 2019)

Applying an ensemble convolutional neural network with Savitzky-Golay filter to construct a phonocardiogram prediction model. - Jimmy Ming-Tai Wu; Meng-Hsiun Tsai; Yong Zhi Huang; SK Hafizul Islam; Mohammad Mehedi Hassan; Abdulhameed Alelaiwi; Giancarlo Fortino (Appl. Soft Comput., 2019)

High-Utility Itemset Mining with Effective Pruning Strategies. - Jimmy Ming-Tai Wu; Jerry Chun-Wei Lin; Ashish Tamrakar (ACM Trans. Knowl. Discov. Data, 2019)

Fuzzy High-Utility Pattern Mining based on the Hadoop Framework. - Jimmy Ming-Tai Wu; Gautam Srivastava 001; Min Wei; Jerry Chun-Wei Lin (IEEE BigData, 2020)

High-Utility Pattern Mining in Hadoop Environments. - Jimmy Ming-Tai Wu; Min Wei; Gautam Srivastava 001; Jerry Chun-Wei Lin (IEEE BigData, 2020)

Mining Multiple Fuzzy Frequent Patterns with Compressed List Structures. - Jerry Chun-Wei Lin; Jimmy Ming-Tai Wu; Youcef Djenouri; Gautam Srivastava 001; Tzung-Pei Hong (FUZZ-IEEE, 2020)

TKC: Mining Top-K Cross-Level High Utility Itemsets. - Mourad Nouioua; Ying Wang; Philippe Fournier-Viger; Jerry Chun-Wei Lin; Jimmy Ming-Tai Wu (ICDM (Workshops), 2020)

Efficient Mining of Non-Dominated High Quantity-Utility Patterns. - Jimmy Ming-Tai Wu; Qian Teng; Gautam Srivastava 001; Matin Pirouz; Jerry Chun-Wei Lin (ICDM (Workshops), 2020)

A PSO-Based Sanitization Process with Multi-thresholds Model. - Jimmy Ming-Tai Wu; Gautam Srivastava 001; Shahab Tayeb; Jerry Chun-Wei Lin (ICPR Workshops (4), 2020)

Efficient Mining of Pareto-Front High Expected Utility Patterns. - Usman Ahmed; Jerry Chun-Wei Lin; Jimmy Ming-Tai Wu; Youcef Djenouri; Gautam Srivastava 001; Suresh Kumar Mukhiya (IEA/AIE, 2020)

Maintenance of Prelarge High Average-Utility Patterns in Incremental Databases. - Jimmy Ming-Tai Wu; Qian Teng; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Chien-Fu Cheng (IEA/AIE, 2020)

Incrementally Updating the Discovered High Average-Utility Patterns With the Pre-Large Concept. - Jimmy Ming-Tai Wu; Qian Teng; Jerry Chun-Wei Lin; Chien-Fu Cheng (IEEE Access, 2020)

Efficient certificate-based aggregate signature scheme for vehicular ad hoc networks. - Jianneng Chen; Zhen-Jie Huang; Yu-Ping Zhou; Fumin Zou; Chien-Ming Chen 001; Jimmy Ming-Tai Wu; Tsu-Yang Wu (IET Networks, 2020)

Updating high average-utility itemsets with pre-large concept. - Jimmy Ming-Tai Wu; Qian Teng; Jerry Chun-Wei Lin; Unil Yun; Hsing-Chung Chen (J. Intell. Fuzzy Syst., 2020)

Detection of Trajectory Outliers in Intelligent Transportation Systems. - Usman Ahmed; Jerry Chun-Wei Lin; Gautam Srivastava 001; Youcef Djenouri; Jimmy Ming-Tai Wu (IEEE BigData, 2021)

A Graphic CNN-LSTM Model for Stock Price Predication. - Jimmy Ming-Tai Wu; Zhongcui Li; Youcef Djenouri; Dawid Polap; Gautam Srivastava 001; Jerry Chun-Wei Lin (ICAISC (1), 2021)

Mining of High-Utility Patterns in Big IoT Databases. - Jimmy Ming-Tai Wu; Gautam Srivastava 001; Jerry Chun-Wei Lin; Youcef Djenouri; Min Wei; Dawid Polap (ICAISC (2), 2021)

An Improved GA-Based Recommendation System for Soil Fertilization. - Usman Ahmed; Jerry Chun-Wei Lin; Gautam Srivastava 001; Jimmy Ming-Tai Wu (ICGEC, 2021)

Revealing Top-k Dominant Individuals in Incomplete Data Based on Spark Environment. - Ke Wang; Jimmy Ming-Tai Wu; Binge Cui; Jerry Chun-Wei Lin (ICGEC, 2021)

Mining High Utility-probability Sequential Patterns in Bigdata Environments. - Jimmy Ming-Tai Wu; Shuo Liu; Mu-En Wu; Jerry Chun-Wei Lin (ICGEC, 2021)

A ML-Based Stock Trading Model for Profit Predication. - Jimmy Ming-Tai Wu; Lingyun Sun; Gautam Srivastava 001; Jerry Chun-Wei Lin (IEA/AIE (2), 2021)

Large-Scale Closed High-Utility Itemset Mining. - Jerry Chun-Wei Lin; Youcef Djenouri; Gautam Srivastava 001; Jimmy Ming-Tai Wu (ICDM (Workshops), 2021)

Linguistic frequent pattern mining using a compressed structure. - Jerry Chun-Wei Lin; Usman Ahmed; Gautam Srivastava 001; Jimmy Ming-Tai Wu; Tzung-Pei Hong; Youcef Djenouri (Appl. Intell., 2021)

A Long Short-Term Memory Network Stock Price Prediction with Leading Indicators. - Jimmy Ming-Tai Wu; Lingyun Sun; Gautam Srivastava 001; Jerry Chun-Wei Lin (Big Data, 2021)

Lightweight authentication protocol in edge-based smart grid environment. - Chien-Ming Chen 001; Lili Chen; Yanyu Huang; Sachin Kumar 002; Jimmy Ming-Tai Wu (EURASIP J. Wirel. Commun. Netw., 2021)

An evolutionary computation-based privacy-preserving data mining model under a multithreshold constraint. - Jimmy Ming-Tai Wu; Gautam Srivastava 001; Unil Yun; Shahab Tayeb; Jerry Chun-Wei Lin (Trans. Emerg. Telecommun. Technol., 2021)

Hiding sensitive information in eHealth datasets. - Jimmy Ming-Tai Wu; Gautam Srivastava 001; Alireza Jolfaei; Philippe Fournier-Viger; Jerry Chun-Wei Lin (Future Gener. Comput. Syst., 2021)

Fuzzy high-utility pattern mining in parallel and distributed Hadoop framework. - Jimmy Ming-Tai Wu; Gautam Srivastava 001; Min Wei; Unil Yun; Jerry Chun-Wei Lin (Inf. Sci., 2021)

A Novel Synergetic LSTM-GA Stock Trading Suggestion System in Internet of Things. - Jimmy Ming-Tai Wu; Lingyun Sun; Gautam Srivastava 001; Jerry Chun-Wei Lin (Mob. Inf. Syst., 2021)

Mining of High-Utility Patterns in Big IoT-based Databases. - Jimmy Ming-Tai Wu; Gautam Srivastava 001; Jerry Chun-Wei Lin; Youcef Djenouri; Min Wei; Reza M. Parizi; Mohammad S. Khan (Mob. Networks Appl., 2021)

A Provably Secure Authentication and Key Agreement Protocol in Cloud-Based Smart Healthcare Environments. - Tsu-Yang Wu; Lei Yang 055; Jia-Ning Luo; Jimmy Ming-Tai Wu (Secur. Commun. Networks, 2021)

A graph-based convolutional neural network stock price prediction with leading indicators. - Jimmy Ming-Tai Wu; Zhongcui Li; Gautam Srivastava 001; Meng-Hsiun Tsai; Jerry Chun-Wei Lin (Softw. Pract. Exp., 2021)

A Multi-Threshold Ant Colony System-based Sanitization Model in Shared Medical Environments. - Jimmy Ming-Tai Wu; Gautam Srivastava 001; Jerry Chun-Wei Lin; Qian Teng (ACM Trans. Internet Techn., 2021)

The Efficient Mining of Skyline Patterns from a Volunteer Computing Network. - Jimmy Ming-Tai Wu; Qian Teng; Gautam Srivastava 001; Matin Pirouz; Jerry Chun-Wei Lin (ACM Trans. Internet Techn., 2021)

Mining of High-Utility Sequence Patterns in Large-Scale Uncertain Databases. - Jimmy Ming-Tai Wu; Shuo Liu; Jerry Chun-Wei Lin (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Top-k Dominating Queries on Incremental Datasets. - Jimmy Ming-Tai Wu; Ke Wang; Jerry Chun-Wei Lin (DASFAA (Workshops), 2022)

Large-Scale Sequential Utility Pattern Mining in Uncertain Environments. - Jimmy Ming-Tai Wu; Shuo Liu; Jerry Chun-Wei Lin (ICDM (Workshops), 2022)

Skyline Pattern Mining by Quantity-Utility Constraints in Large-Scale Databases. - Jimmy Ming-Tai Wu; Ranran Li; Jerry Chun-Wei Lin (ICDM (Workshops), 2022)

Analytics of high average-utility patterns in the industrial internet of things. - Jimmy Ming-Tai Wu; Zhongcui Li; Gautam Srivastava 001; Unil Yun; Jerry Chun-Wei Lin (Appl. Intell., 2022)

Dynamic maintenance model for high average-utility pattern mining with deletion operation. - Jimmy Ming-Tai Wu; Qian Teng; Shahab Tayeb; Jerry Chun-Wei Lin (Appl. Intell., 2022)

Embedded draw-down constraint reward function for deep reinforcement learning. - Jimmy Ming-Tai Wu; Sheng-Hao Lin; Jia-Hao Syu; Mu-En Wu (Appl. Soft Comput., 2022)

Mining large-scale high utility patterns in vehicular ad hoc network environments. - Jimmy Ming-Tai Wu; Min Wei; Gautam Srivastava 001; Chien-Ming Chen 001; Jerry Chun-Wei Lin (Trans. Emerg. Telecommun. Technol., 2022)

Efficient Uncertain Sequence Pattern Mining Based on Hadoop Platform. - Jimmy Ming-Tai Wu; Shuo Liu; Jerry Chun-Wei Lin (J. Circuits Syst. Comput., 2022)

Predict the trend of economic indicators in time series based on recurrent neural network combined with leading indicators. - Jimmy Ming-Tai Wu; Meng-Hsiun Tsai; Chao-Chieh Cheng; Mu-En Wu (J. Intell. Fuzzy Syst., 2022)

Analysis and construction by convolution neural network of link prediction model on social network. - Jimmy Ming-Tai Wu; Meng-Hsiun Tsai; Tu-Wei Li; Matin Pirouz (J. Intell. Fuzzy Syst., 2022)

Security and Privacy in Shared HitLCPS Using a GA-Based Multiple-Threshold Sanitization Model. - Jimmy Ming-Tai Wu; Gautam Srivastava 001; Alireza Jolfaei; Matin Pirouz; Jerry Chun-Wei Lin (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Top-k dominating queries on incomplete large dataset. - Jimmy Ming-Tai Wu; Min Wei; Mu-En Wu; Shahab Tayeb (J. Supercomput., 2022)

A Stock Trading Expert System Established by the CNN-GA-Based Collaborative System. - Jimmy Ming-Tai Wu; Lingyun Sun; Gautam Srivastava 001; Vicente García-Díaz; Jerry Chun-Wei Lin (Int. J. Data Warehous. Min., 2022)

Mining High Utility Sequential Patterns in Dynamic Databases. - Jimmy Ming-Tai Wu; Fengyang Li; Ranran Li; Shuo Liu; Huiying Zhou (ICCCS, 2023)

Mining Skyline Frequent-Utility Pattern with Threshold Filtering. - Jimmy Ming-Tai Wu; Yadong Liu; Huiying Zhou; Fengyang Li; Shaowei Ma (ICCCS, 2023)

Stock Trading Decision Method Based on Stop Loss Double Threshold. - Jimmy Ming-Tai Wu; Shaowei Ma; Ke Wang; Huizhen Yan; Qinghua Zhang (ICCCS, 2023)

A Deep Learning Framework for Forecasting Pork Import Prices Using PPI_IPD Index. - Qinghua Zhang; Huizhen Yan; Jirsen Ning; Jimmy Ming-Tai Wu (ICEA, 2023)

Updating Top-k Dominate Individuals with Incomplete Data Addition. - Jimmy Ming-Tai Wu; Ke Wang; Huizhen Yan; Chao-Chun Chen; Pei-Wei Chen; Jerry Chun-Wei Lin (ISIT, 2023)

A Federated Mining Framework for Complete Frequent Itemsets. - Tzung-Pei Hong; Ya-Ping Hsu; Chun-Hao Chen; Jimmy Ming-Tai Wu (SMC, 2023)

The effective skyline quantify-utility patterns mining algorithm with pruning strategies. - Jimmy Ming-Tai Wu; Ranran Li; Pi-Chung Hsu; Mu-En Wu (Comput. Sci. Inf. Syst., 2023)

Mining skyline frequent-utility patterns from big data environment based on MapReduce framework. - Jimmy Ming-Tai Wu; Ranran Li; Mu-En Wu; Jerry Chun-Wei Lin (Intell. Data Anal., 2023)

A Genetic Algorithm for the Waitable Time-Varying Multi-Depot Green Vehicle Routing Problem. - Chien-Ming Chen 001; Shi Lv; Jirsen Ning; Jimmy Ming-Tai Wu (Symmetry, 2023)

A Privacy Frequent Itemsets Mining Framework for Collaboration in IoT Using Federated Learning. - Jimmy Ming-Tai Wu; Qian Teng; Shamsul Huda; Yeh-Cheng Chen; Chien-Ming Chen 001 (ACM Trans. Sens. Networks, 2023)

Mining Skyline Patterns from Big Data Environments based on a Spark Framework. - Jimmy Ming-Tai Wu; Huiying Zhou; Jerry Chun-Wei Lin; Gautam Srivastava 001; Mohamed Baza (J. Grid Comput., 2023)

A graph-based CNN-LSTM stock price prediction algorithm with leading indicators. - Jimmy Ming-Tai Wu; Zhongcui Li; Norbert Herencsar; Bay Vo; Jerry Chun-Wei Lin (Multim. Syst., 2023)

Optimizing Option Short Strangle Strategies Through Genetic Algorithm. - Dai-Jia Wu; Mu-En Wu; Sheng-Chi Luo; Jimmy Ming-Tai Wu (ACIIDS (Companion 1), 2024)

SeqClin: Pattern-Based Analysis and Classification of Clinical Datasets. - M. Saqib Nawaz; Philippe Fournier-Viger; Jimmy Ming-Tai Wu (BIBM, 2024)

On the design of searching algorithm for parameter plateau in quantitative trading strategies using particle swarm optimization. - Jimmy Ming-Tai Wu; Wen-Yu Lin; Ko-Wei Huang; Mu-En Wu (Knowl. Based Syst., 2024)

A parallel compact Marine Predators Algorithm applied in time series prediction of Backpropagation neural network (BNN) and engineering optimization. - Jeng-Shyang Pan 001; Zhen Zhang; Shu-Chuan Chu; Si-Qi Zhang; Jimmy Ming-Tai Wu (Math. Comput. Simul., 2024)

High-utility sequential pattern mining in incremental database. - Huizhen Yan; Fengyang Li; Ming-Chia Hsieh; Jimmy Ming-Tai Wu (J. Supercomput., 2025)

A study on signal filtering techniques in trend-following strategies with LSTM integration. - Jimmy Ming-Tai Wu; Yi-Chun Cheng; Sheng-Chi Luo; Ju-Fang Yen; Mu-En Wu (Expert Syst. Appl., 2026)