An affiliated search system for an electronic commerce and software component architecture. - Incheon Paik; Tongwon Han; Dongik Oh; Sangho Ha; Donggue Park (Inf. Softw. Technol., 2003)

Automating Business Transaction and Negotiation in Supply Chains Using Web Service Composition. - Incheon Paik; Md. Saidul Hossain; Md. Tofazzal Hossain (CIT, 2004)

Intelligent Agent to Support Design in Supply Chain Based on Semantic Web Services. - Incheon Paik; Shinjirou Takami; Yuu Watanabe (HIS, 2004)

Automating Design Support in Supply Chains on Semantic Web Services. - Incheon Paik; Hiroyuki Akimoto; Shinjirou Takami (WWW Workshop on Application Design, Development and Implementation Issues in the Semantic Web, 2004)

Planning and Composition of Web Services with Dynamic Constraints Using Situation Calculus. - Ken Nariai; Incheon Paik; Mitsuteru Shinozawa (CIT, 2005)

Ontology Querying and Its Software Component for Design Support in Supply Chains. - Incheon Paik; Hiroyuki Akimoto (ICITA (1), 2005)

Software Component Architecture for an Information Infrastructure to Support Innovative Product Design in a Supply Chain. - Incheon Paik; Wonhee Park (J. Organ. Comput. Electron. Commer., 2005)

A Flexible and Dynamic CSP Solver for Web Service Composition in the Semantic Web Environment. - Daisuke Maruyama; Incheon Paik; Mitsuteru Shinozawa (CIT, 2006)

A Framework for Intelligent Web Services: Combined HTN and CSP Approach. - Incheon Paik; Daisuke Maruyama; Michael N. Huhns (ICWS, 2006)

Automatic Web Services Composition Using Combining HTN and CSP. - Incheon Paik; Daisuke Maruyama (CIT, 2007)

Pattern Templates for Automating Business Choreography on Web Services. - Incheon Paik; Hiroto Suzuki (AINA Workshops (2), 2007)

Design of General User Interface for Automatic Web Service Composition. - Haruhiko Takada; Incheon Paik (FCST, 2008)

Transforming Abstract QoS Requirements, Preferences, and Logic Constraints for Automatic Web Service Composition. - Incheon Paik; Haruhiko Takada; Michael N. Huhns (ICWS, 2008)

Modeling and Transforming Abstract Constraints for Automatic Service Composition. - Incheon Paik; Haruhiko Takada (CIT (2), 2009)

Transformation of Intermediate Nonfunctional Properties for Automatic Service Composition. - Haruhiko Takada; Incheon Paik (ICSOC/ServiceWave Workshops, 2009)

Scalable Orchestration Strategy for Automatic Service Composition. - Hiroshi Mizugai; Incheon Paik; Wuhui Chen (CIT, 2010)

Design of user interface for Automatic Service Composition. - Incheon Paik; Wuhui Chen (SMC, 2010)

Semantic words similarity in triple relation using intermediate concept by PLSI. - Incheon Paik; Shinsuke Mori; Wuhui Chen (SMC, 2010)

Recommendation System Using Weighted TF-IDF and Naive Bayes Classifiers on RSS Contents. - Incheon Paik; Hiroshi Mizugai (J. Adv. Comput. Intell. Intell. Informatics, 2010)

Classification of malicious web code by machine learning. - Ryohei Komiya; Incheon Paik; Masayuki Hisada (iCAST, 2011)

Information infrastructure for innovative product design in SCM using semantic TRIZ. - Incheon Paik; Kyubo Kim; Wonhee Park; Ryohei Komiya (iCAST, 2011)

Identification of Semistructured Abstract Nonfunctional Properties for Automatic Service Composition. - Incheon Paik; Wuhui Chen; Ryohei Komiya (ICWS, 2011)

A Functional - Scalable Architecture for Automatic Service Composition. - Incheon Paik; Wuhui Chen; Ryohei Komiya (SERVICES, 2011)

Global Service Space Construction and Its Application to Workflow as a Service. - Wuhui Chen; Incheon Paik; Ryohei Komiya (IEEE SCC, 2012)

Linked Social Service: Connecting Isolated Services into a Global Social Service Network. - Wuhui Chen; Incheon Paik; Patrick C. K. Hung (APSCC, 2012)

Prediction of Web User Behavior by Discovering Temporal Relational Rules from Web Log Data. - Xiuming Yu; Meijing Li; Incheon Paik; Keun Ho Ryu (DEXA (2), 2012)

Service discovery based on tree structure. - Wuhui Chen; Incheon Paik; Daeyong Kang; Takazumi Tanaka (iCAST, 2012)

Global service space for workflow as a service. - Wuhui Chen; Incheon Paik; Tetsuya Tashiro; Daeyong Kang (iCAST, 2012)

Connecting isolated service islands into Global Social Service Network. - Wuhui Chen; Ryusuke Tashiro; Incheon Paik; Takazumi Tanaka (iCAST, 2012)

Active situation awareness framework for social network services. - Incheon Paik; Ryohei Komiya; Wuhui Chen; Kyeongmu Lee (iCAST, 2012)

A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition. - Eonseok Shin; Tsendsuren Munkhdalai; Meijing Li; Incheon Paik; Keun Ho Ryu (ICHIT (1), 2012)

Linked Social Service: Evolving from an Isolated Service into a Global Social Service Network. - Wuhui Chen; Incheon Paik; Ryohei Komiya (ICWS, 2012)

Awareness of Social Influence for Service Recommendation. - Wuhui Chen; Incheon Paik; Takazumi Tanaka; Banage T. G. S. Kumara (IEEE SCC, 2013)

Service Discovery Based on Objective and Subjective Measures. - Victor W. Chu; Raymond K. Wong 001; Wuhui Chen; Incheon Paik; Chi-Hung Chi (IEEE SCC, 2013)

Clustering and Spherical Visualization of Web Services. - Banage T. G. S. Kumara; Yuichi Yaguchi; Incheon Paik; Wuhui Chen (IEEE SCC, 2013)

Big Data Infrastructure for Active Situation Awareness on Social Network Services. - Incheon Paik; Takazumi Tanaka; Hiroki Ohashi; Wuhui Chen (BigData Congress, 2013)

Awareness of social influence on linked social service. - Wuhui Chen; Incheon Paik; Junbo Wang 001; Banage T. G. S. Kumara; Takazumi Tanaka (CYBCONF, 2013)

Customizable active situation awareness framework based on meta-process in ontology. - Ryohei Komiya; Incheon Paik; Keun Ho Ryu (iCAST/UMEDIA, 2013)

Web service filtering and visualization with context aware similarity to bootstrap clustering. - Banage T. G. S. Kumara; Incheon Paik; Hiroki Ohashi; Yuichi Yaguchi (iCAST/UMEDIA, 2013)

Calculating word similarity for context aware web service clustering. - Hiroki Ohashi; Incheon Paik; Banage T. G. S. Kumara (iCAST/UMEDIA, 2013)

Constructing Web-scale functional map on global social service network for workflow-as-a-service. - Tetsuya Tashiro; Wuhui Chen; Incheon Paik (iCAST/UMEDIA, 2013)

Web-Service Clustering with a Hybrid of Ontology Learning and Information-Retrieval-Based Term Similarity. - Banage T. G. S. Kumara; Incheon Paik; Wuhui Chen (ICWS, 2013)

Semantic pattern templates for automating business choreography on web services. - Incheon Paik; Wuhui Chen (Int. J. Bus. Process. Integr. Manag., 2013)

Improving efficiency of service discovery using Linked data-based service publication. - Wuhui Chen; Incheon Paik (Inf. Syst. Frontiers, 2013)

Interlinking Distributed Services for Workflow-as-a-Service Based on Linked Data. - Wuhui Chen; Incheon Paik; Tetsuya Tashiro (J. Adv. Comput. Intell. Intell. Informatics, 2013)

Context Aware Post-filtering for Web Service Clustering. - Banage T. G. S. Kumara; Incheon Paik; Hiroki Ohashi; Wuhui Chen; Koswatte R. C. Koswatte (IEEE SCC, 2014)

Ontology learning with complex data type for Web service clustering. - Banage T. G. S. Kumara; Incheon Paik; Koswatte R. C. Koswatte; Wuhui Chen (CIDM, 2014)

Recommendation for Web services with domain specific context awareness. - Banage T. G. S. Kumara; Incheon Paik; Koswatte R. C. Koswatte; Wuhui Chen (CIDM, 2014)

One pass preprocessing for token-based source code clone detection. - Dingkun Li; Minghao Piao; Ho-Sun Shon; Keun Ho Ryu; Incheon Paik (iCAST, 2014)

Context-Aware Filtering and Visualization of Web Service Clusters. - Banage T. G. S. Kumara; Incheon Paik; Hiroki Ohashi; Yuichi Yaguchi; Wuhui Chen (ICWS, 2014)

Meta-framework for semantic TRIZ. - Koswatte R. C. Koswatte; Incheon Paik; Banage T. G. S. Kumara (ISIC, 2014)

A Data Model for Object-Based Seamless Digital Map Using Digital Map 2.0. - Hyeongsoo Kim; Hyun Woo Park; Wonwoo Cho; Incheon Paik; Keun Ho Ryu (WAIM Workshops, 2014)

Web Service Clustering using a Hybrid Term-Similarity Measure with Ontology Learning. - Banage T. G. S. Kumara; Incheon Paik; Wuhui Chen; Keun Ho Ryu (Int. J. Web Serv. Res., 2014)

A Scalable Architecture for Automatic Service Composition. - Incheon Paik; Wuhui Chen; Michael N. Huhns (IEEE Trans. Serv. Comput., 2014)

Intelligent Big Data Analysis Architecture Based on Automatic Service Composition. - T. H. A. S. Siriweera; Incheon Paik; Banage T. G. S. Kumara; Koswatte R. C. Koswatta (BigData Congress, 2015)

Topology-aware Heuristic Data Allocation Algorithm for Big Data Infrastructure. - Wuhui Chen; Banage T. G. S. Kumara; Incheon Paik; Zhenni Li (BigDataService, 2015)

Investigation of network traffic in geo-distributed data centers. - Yutaka Koshiba; Wuhui Chen; Yuichi Yamada; Takazumi Tanaka; Incheon Paik (iCAST, 2015)

Onotology-based service discovery for intelligent Big Data analytics. - T. H. Akila S. Siriweera; Incheon Paik; Banage T. G. S. Kumara (iCAST, 2015)

Ontology-Based Workflow Generation for Intelligent Big Data Analytics. - Banage T. G. S. Kumara; Incheon Paik; Jia Zhang 001; T. H. A. S. Siriweera; Koswatte R. C. Koswatte (ICWS, 2015)

Privacy Issues in SOAP Message Exchange Pattern for Social Services. - Wuhui Chen; Incheon Paik; Patrick C. K. Hung (Fundam. Informaticae, 2015)

Innovative Product Design using Metaontology with Semantic TRIZ. - Koswatte R. C. Koswatte; Incheon Paik; Wonhee Park; Banage T. G. S. Kumara (Int. J. Inf. Retr. Res., 2015)

Toward Better Quality of Service Composition Based on a Global Social Service Network. - Wuhui Chen; Incheon Paik (IEEE Trans. Parallel Distributed Syst., 2015)

Constructing a Global Social Service Network for Better Quality of Web Service Discovery. - Wuhui Chen; Incheon Paik; Patrick C. K. Hung (IEEE Trans. Serv. Comput., 2015)

QoS-Aware Traffic-Efficient Web Service Selection over BigData Space. - T. H. Akila S. Siriweera; Incheon Paik; Banage T. G. S. Kumara (CIT, 2016)

Fast Social Service Network Construction Using Map-Reduce for Efficient Service Discovery. - Yutaka Koshiba; Incheon Paik; Wuhui Chen (SCC, 2016)

Cluster-Based Web Service Recommendation. - Banage T. G. S. Kumara; Incheon Paik; T. H. A. S. Siriweera; Koswatte R. C. Koswatte (SCC, 2016)

Workflow Transformation for Real-Time Big Data Processing. - Yuji Ishizuka; Wuhui Chen; Incheon Paik (BigData Congress, 2016)

Situation awareness based on big data analysis. - Incheon Paik (ICMLC, 2016)

Big Data Analytic Service Discovery Using Social Service Network with Domain Ontology and Workflow Awareness. - T. H. Akila S. Siriweera; Incheon Paik; Jia Zhang 001; Banage T. G. S. Kumara (ICWS, 2016)

Analysis of data distribution to classify data based on taxonomy hierarchy. - Incheon Paik; Satoshi Hotta; Wuhui Chen (SMC, 2016)

Tology-Aware Optimal Data Placement Algorithm for Network Traffic Optimization. - Wuhui Chen; Incheon Paik; Zhenni Li (IEEE Trans. Computers, 2016)

QoS Aware Service Clustering to Bootstrap the Web Service Selection. - Banage T. G. S. Kumara; Incheon Paik; T. H. A. S. Siriweera; Koswatte R. C. Koswatte (SCC, 2017)

QoS and Customizable Transaction-Aware Selection for Big Data Analytics on Automatic Service Composition. - T. H. Akila S. Siriweera; Incheon Paik; Banage T. G. S. Kumara (SCC, 2017)

Stock market analysis from Twitter and news based on streaming big data infrastructure. - Chungho Lee; Incheon Paik (iCAST, 2017)

An efficient algorithm for web service selection based on local selection in large scale. - Sheng Zhang; Incheon Paik (iCAST, 2017)

Improving Web Service Clustering through a Novel Ontology Generation Method by Domain Specificity. - Rupasingha A. H. M. Rupasingha; Incheon Paik; Banage T. G. S. Kumara (ICWS, 2017)

Constraint-Driven Dynamic Workflow for Automation of Big Data Analytics Based on GraphPlan. - Thenuwara Hannadige Akila Sanjaya Siriweera; Incheon Paik; Banage Thanne Gedara Samantha Kumara (ICWS, 2017)

Key Frame Extraction from Video Based on Determinant-Type of Sparse Measure and DC Programming. - Yujie Li 002; Benying Tan; Shuxue Ding; Incheon Paik; Atsunori Kanemura (MCSoC, 2017)

Efficient Service Discovery Using Social Service Network Based on Big Data Infrastructure. - Incheon Paik; Yutaka Koshiba; T. H. Akila S. Siriweera (MCSoC, 2017)

Discovering internal social relationship for influence-aware service recommendation. - Wuhui Chen; Incheon Paik; Neil Y. Yen (Multim. Tools Appl., 2017)

Cost-Aware Streaming Workflow Allocation on Geo-Distributed Data Centers. - Wuhui Chen; Incheon Paik; Zhenni Li (IEEE Trans. Computers, 2017)

Twitter and Online News analytics for Enhancing Post-Natural Disaster Management Activities. - K. Banujan; Banage T. G. S. Kumara; Incheon Paik (iCAST, 2018)

Analysis of Web Service Using Word Embedding by Deep Learning. - Takeyuki Miyagi; Rupasingha A. H. M. Rupasingha; Incheon Paik (iCAST, 2018)

Evaluation of Web Service Recommendation Performance via Sparsity Alleviating by Specificity-Aware Ontology-Based Clustering. - Rupasingha A. H. M. Rupasingha; Incheon Paik (iCAST, 2018)

Improving Service Recommendation by Alleviating the Sparsity with a Novel Ontology-Based Clustering. - Rupasingha A. H. M. Rupasingha; Incheon Paik (ICWS, 2018)

Classification of Taxonomical Relationship by Word Embedding. - Kazuki Omine; Incheon Paik (ICCC, 2018)

On-Line Cost-Aware Workflow Allocation in Heterogeneous Computing Environments. - Incheon Paik; Yuji Ishizuka; Quang-Minh Do; Wuhui Chen (MCSoC, 2018)

QoS-Aware Rule-Based Traffic-Efficient Multiobjective Service Selection in Big Data Space. - T. H. Akila S. Siriweera; Incheon Paik (IEEE Access, 2018)

DC programming for solving a sparse modeling problem of video key frame extraction. - Benying Tan; Yujie Li 002; Shuxue Ding; Incheon Paik; Atsunori Kanemura (Digit. Signal Process., 2018)

Specificity-Aware Ontology Generation for Improving Web Service Clustering. - Rupasingha A. H. M. Rupasingha; Incheon Paik; Banage T. G. S. Kumara (IEICE Trans. Inf. Syst., 2018)

A cost minimization data allocation algorithm for dynamic datacenter resizing. - Wuhui Chen; Incheon Paik; Zhenni Li; Neil Y. Yen (J. Parallel Distributed Comput., 2018)

Automating Big Data Analysis Based on Deep Learning Generation by Automatic Service Composition. - Incheon Paik; T. H. Akila S. Siriweera (DSAA, 2019)

Adaptable Deep Learning Generation by Automatic Service Composition. - Incheon Paik; Ryo Ataka (ICWS, 2019)

Extraction of Taxonomic Relation of Complex Terms by Recurrent Neural Network. - Atsushi Oba; Incheon Paik (ICCC, 2019)

Transformation-Based Streaming Workflow Allocation on Geo-Distributed Datacenters for Streaming Big Data Processing. - Wuhui Chen; Incheon Paik; Patrick C. K. Hung (IEEE Trans. Serv. Comput., 2019)

Resolving Lexical Ambiguity in English-Japanese Neural Machine Translation. - Quang-Minh Do; Kungan Zeng; Incheon Paik (AICCC, 2020)

Pneumonia Outcome Prediction Using Structured And Unstructured Data From EHR. - Chérubin Mugisha; Incheon Paik (BIBM, 2020)

Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture. - R. Uday Kiran; Sadanori Ito; Minh-Son Dao; Koji Zettsu; Cheng-Wei Wu; Yutaka Watanobe; Incheon Paik; Truong Cong Thang (IEEE BigData, 2020)

Web Service Composition Sequence Learning Based on Neural Language Networks. - Kungan Zeng; Incheon Paik (BigDataSE, 2020)

Feature Extraction with Triplet Loss to Classify Disease on Leaf Data. - Ty V. Nguyen; Incheon Paik (iCAST, 2020)

A Lightweight Transformer with Convolutional Attention. - Kungan Zeng; Incheon Paik (iCAST, 2020)

Strengthening Post-Disaster Management Activities by Rating Social Media Corpus. - Banujan Kuhaneswaran; Banage T. G. S. Kumara; Incheon Paik (Int. J. Syst. Serv. Oriented Eng., 2020)

Context-Aware Web Service Clustering and Visualization. - Banage T. G. S. Kumara; Incheon Paik; Yuichi Yaguchi (Int. J. Web Serv. Res., 2020)

Automatic Classification for Ontology Generation by Pretrained Language Model. - Atsushi Oba; Incheon Paik; Ayato Kuwana (IEA/AIE (1), 2021)

Distributed Neural Network with TensorFlow on Human Activity Recognition Over Multicore TPU. - Haklin Kimm; Incheon Paik (MCSoC, 2021)

Performance Comparision of TPU, GPU, CPU on Google Colaboratory Over Distributed Deep Learning. - Haklin Kimm; Incheon Paik; Hanke Kimm (MCSoC, 2021)

Dynamic Service Recommendation Using Lightweight BERT-based Service Embedding in Edge Computing. - Kungan Zeng; Incheon Paik (MCSoC, 2021)

Challenges and Exit Strategies for Adapting Interactive Online Education Amid the Pandemic and its Aftermath. - Md. Mostafizer Rahman; Yutaka Watanobe; Rage Uday Kiran; Truong Cong Thang; Incheon Paik (TALE, 2021)

Impact of Practical Skills on Academic Performance: A Data-Driven Analysis. - Md. Mostafizer Rahman; Yutaka Watanobe; Rage Uday Kiran; Truong Cong Thang; Incheon Paik (IEEE Access, 2021)

Semantic Service Clustering With Lightweight BERT-Based Service Embedding Using Invocation Sequences. - Kungan Zeng; Incheon Paik (IEEE Access, 2021)

QoS-Aware Data Placement for MapReduce Applications in Geo-Distributed Data Centers. - Wuhui Chen; Baichuan Liu; Incheon Paik; Zhenni Li; Zibin Zheng (IEEE Trans. Engineering Management, 2021)

Optimization of Biomedical Language Model with Optuna and a Sentencepiece Tokenization for NER. - Chérubin Mugisha; Incheon Paik (BIBM, 2022)

Web-based Automatic Deep Learning Service Generation System by Ontology Technologies. - Incheon Paik; Kungan Zeng; Munhan Bae (CSE, 2022)

Towards Efficient Discovery of Stable Periodic Patterns in Big Columnar Temporal Databases. - Hong N. Dao; Penugonda Ravikumar; Palla Likhitha; Bathala Venus Vikranth Raj; R. Uday Kiran; Yutaka Watanobe; Incheon Paik (IEA/AIE, 2022)

Towards QoE Management for Post-Pandemic Online Learning : Invited Paper. - Truong Cong Thang; Yutaka Watanobe; Rage Uday Kiran; Incheon Paik (KSE, 2022)

Quantum Machine Learning with Quantum Image Representations. - Tuyen Nguyen; Incheon Paik; Hiroyuki Sagawa; Truong Cong Thang (QCE, 2022)

Towards Quantum Scalable Data for Heterogeneous Computing Environments. - Tuyen Nguyen; Incheon Paik; Hiroyuki Sagawa; Truong Cong Thang (QCE, 2022)

Semantic Repository for Automatic Deep Learning Generation. - Incheon Paik (ICSC, 2022)

Comparison of Neural Language Modeling Pipelines for Outcome Prediction From Unstructured Medical Text Notes. - Chérubin Mugisha; Incheon Paik (IEEE Access, 2022)

Predicting Depression on Twitter with Word Embedding by Pretrained Language Model. - Zheqi Shen; Incheon Paik (iCAST, 2023)

AI to Judge AI-Generated Images: Both Semantics and Perception Matter. - Jean Flaherty; Chibuike Onuoha; Incheon Paik; Truong Cong Thang (ICCE-Berlin, 2023)

Patient Similarity using Electronic Health Records and Self-supervised Learning. - Hong N. Dao; Incheon Paik (MCSoC, 2023)

Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases. - Hong N. Dao; Penugonda Ravikumar; Palla Likhitha; Rage Uday Kiran; Yutaka Watanobe; Incheon Paik (IEEE Access, 2023)

Constraint-Driven Complexity-Aware Data Science Workflow for AutoBDA. - T. H. Akila S. Siriweera; Incheon Paik; Huawei Huang (IEEE Trans. Big Data, 2023)

A Multimodal Transfer Learning Approach Using PubMedCLIP for Medical Image Classification. - Hong N. Dao; Tuyen Nguyen; Chérubin Mugisha; Incheon Paik (IEEE Access, 2024)

Web service embedding: Representing the invocation association between services with practical-valued vectors. - Kungan Zeng; Incheon Paik (Expert Syst. Appl., 2024)

Leveraging LLMs for COVID-19 Fake News Generation and Detection: A Comparative Analysis on Twitter Data. - Hong N. Dao; Yasuhiro Hashimoto; Incheon Paik; Truong Cong Thang (IEEE Access, 2025)

AutoBDA: Model-Driven Reference Architecture for Automated Big Data Analysis Framework. - T. H. Akila S. Siriweera; Incheon Paik (IEEE Trans. Serv. Comput., 2025)