Poster Abstract: Semantically Enriched Object Identification for Internet of Things. - Sejin Chun; Jooik Jung; Xiongnan Jin; Gunhee Cho; Kyong-Ho Lee (DCOSS, 2014)

IoT Service Selection Based on Physical Service Model and Absolute Dominance Relationship. - Xiongnan Jin; Sejin Chun; Jooik Jung; Kyong-Ho Lee (SOCA, 2014)

Short paper: Semantic URI-based event-driven physical mashup. - Sejin Chun; Jooik Jung; Xiongnan Jin; Gunhee Cho; Jinho Shin; Kyong-Ho Lee (WF-IoT, 2014)

Enhancing CoAP proxy for semantic composition and multicast communication. - Gunhee Cho; Sejin Chun; Xiongnan Jin; Kyong-Ho Lee (UbiComp/ISWC Adjunct, 2015)

Towards a Semantic Model for Automated Deployment of IoT Services across Platforms. - Kangho Hur; Sejin Chun; Xiongnan Jin; Kyong-Ho Lee (SERVICES, 2015)

Automated deployment of IoT services based on semantic description. - Kangho Hur; Xiongnan Jin; Kyong-Ho Lee (WF-IoT, 2015)

Automated mashup of CoAP services on the Internet of Things. - Xiongnan Jin; Kangho Hur; Sejin Chun; Minjung Kim; Kyong-Ho Lee (WF-IoT, 2015)

Proactive Replication of Dynamic Linked Data for Scalable RDF Stream Processing. - Sejin Chun; Jooik Jung; Xiongnan Jin; Seungjun Yoon; Kyong-Ho Lee (ISWC (Posters & Demos), 2016)

A Unified Interface for Optimizing Continuous Query in Heterogeneous RDF Stream Processing Systems. - Seungjun Yoon; Sejin Chun; Xiongnan Jin; Kyong-Ho Lee (ISWC (Posters & Demos), 2016)

A fast and scalable approach for IoT service selection based on a physical service model. - Xiongnan Jin; Sejin Chun; Jooik Jung; Kyong-Ho Lee (Inf. Syst. Frontiers, 2017)

Knowledge Graph Modeling for Semantic Integration of Energy Services. - Sejin Chun; Xiongnan Jin; Seungmin Seo; Kyong-Ho Lee; Youngmee Shin; Il-Woo Lee (BigComp, 2018)

Quantitative Computation of Social Strength in Social Internet of Things. - Jooik Jung; Sejin Chun; Xiongnan Jin; Kyong-Ho Lee (IEEE Internet Things J., 2018)

Enabling smart objects discovery via constructing hypergraphs of heterogeneous IoT interactions. - Jooik Jung; Sejin Chun; Xiongnan Jin; Kyong-Ho Lee (J. Inf. Sci., 2018)

Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations. - Xiongnan Jin; Byungkook Oh; Sanghak Lee; Dongho Lee; Kyong-Ho Lee; Liang Chen 001 (CIKM, 2019)

Predicate constraints based question answering over knowledge graph. - Sangjin Shin; Xiongnan Jin; Jooik Jung; Kyong-Ho Lee (Inf. Process. Manag., 2019)

SECoG: semantically enhanced mashup of CoAP-based IoT services. - Xiongnan Jin; Jooik Jung; Sejin Chun; Seungjun Yoon; Kyong-Ho Lee (Serv. Oriented Comput. Appl., 2019)

Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning. - Chaoqun Hong; Jun Yu 002; Jian Zhang 026; Xiongnan Jin; Kyong-Ho Lee (IEEE Trans. Ind. Informatics, 2019)

Collective Keyword Query on a Spatial Knowledge Base. - Xiongnan Jin; Sangjin Shin; Eunju Jo; Kyong-Ho Lee (IEEE Trans. Knowl. Data Eng., 2019)

Efficient generation of spatiotemporal relationships from spatial data streams and static data. - Sungkwang Eom; Xiongnan Jin; Kyong-Ho Lee (Inf. Process. Manag., 2020)

Designing an integrated knowledge graph for smart energy services. - Sejin Chun; Jooik Jung; Xiongnan Jin; Seungmin Seo; Kyong-Ho Lee (J. Supercomput., 2020)

DORIC: discovering topological relations based on spatial link composition. - Xiongnan Jin; Sungkwang Eom; Sangjin Shin; Kyong-Ho Lee; Chaoqun Hong (Knowl. Inf. Syst., 2021)

MFC-Prov: Media forensics challenge image provenance evaluation and data analysis on large-scale datasets. - Xiongnan Jin; Yooyoung Lee; Jonathan G. Fiscus; Haiying Guan; Amy N. Yates; Andrew Delgado; Daniel Zhou (Neurocomputing, 2022)

Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding for Next-POI Recommendation. - Xiaoqian Liu; Xiuyun Li; Yuan Cao 003; Fan Zhang; Xiongnan Jin; Jinpeng Chen 001 (ICME, 2023)

SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation. - Yuan Cao 003; Xudong Zhang; Fan Zhang; Feifei Kou; Josiah Poon; Xiongnan Jin; Yongheng Wang; Jinpeng Chen 001 (CoRR, 2023)

PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation. - Jinpeng Chen 001; Huachen Guan; Huan Li 003; Fan Zhang; Liwei Huang; Guangyao Pang; Xiongnan Jin (CIKM, 2024)

HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs. - Tingxuan Chen; Jun Long; Liu Yang; Zidong Wang 005; Yongheng Wang; Xiongnan Jin (NAACL-HLT, 2024)

Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models. - Xingyun Hong; Yan Shao; Zhilin Wang; Manni Duan; Xiongnan Jin (NLPCC (1), 2024)

EMPNet: An extract-map-predict neural network architecture for cross-domain recommendation. - Jinpeng Chen 001; Fan Zhang; Huan Li 003; Hua Lu 001; Xiongnan Jin; Kuien Liu; Hongjun Li; Yongheng Wang (World Wide Web (WWW), 2024)

A Deep Spatiotemporal Trajectory Representation Learning Framework for Clustering. - Chao Wang; Jiahui Huang; Yongheng Wang; Zhengxuan Lin; Xiongnan Jin; Xing Jin 002; Di Weng; Yingcai Wu (IEEE Trans. Intell. Transp. Syst., 2024)

HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models. - Xiongnan Jin; Zhilin Wang; Jinpeng Chen 001; Liu Yang; Byungkook Oh; Seung-won Hwang; Jianqiang Li (AAAI, 2025)

A survey on knowledge graph evolution: proliferation, dynamic embedding, and versioning. - Xiongnan Jin; Zhilin Wang; Manni Duan; Yan Shao; Xingyun Hong; Yongheng Wang; Byungkook Oh (Int. J. Web Grid Serv., 2025)

STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation. - Zhenye Yang; Jinpeng Chen 001; Huan Li 003; Xiongnan Jin; Xuanyang Li; Junwei Zhang; Hongbo Gao 001; Kaimin Wei; Senzhang Wang (CoRR, 2025)