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Xiongnan Jin

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2020 – today

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2024
[j13]
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Chao Wang, Jiahui Huang, Yongheng Wang, Zhengxuan Lin, Xiongnan Jin, Xing Jin, Di Weng, Yingcai Wu:
A Deep Spatiotemporal Trajectory Representation Learning Framework for Clustering. IEEE Trans. Intell. Transp. Syst. 25(7): 7687-7700 (2024)
[j12]
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Jinpeng Chen, Fan Zhang, Huan Li, Hua Lu, Xiongnan Jin, Kuien Liu, Hongjun Li, Yongheng Wang:
EMPNet: An extract-map-predict neural network architecture for cross-domain recommendation. World Wide Web (WWW) 27(2): 12 (2024)
[c15]
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Jinpeng Chen, Huachen Guan, Huan Li, Fan Zhang, Liwei Huang, Guangyao Pang, Xiongnan Jin:
PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation. CIKM 2024: 249-258
[c14]
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Tingxuan Chen, Jun Long, Liu Yang, Zidong Wang, Yongheng Wang, Xiongnan Jin:
HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs. NAACL-HLT 2024: 4056-4066
[c13]
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Xingyun Hong, Yan Shao, Zhilin Wang, Manni Duan, Xiongnan Jin:
Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models. NLPCC (1) 2024: 228-242
2023
[c12]
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  - conf/icmcs/LiuLCZJC23
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Xiaoqian Liu, Xiuyun Li, Yuan Cao, Fan Zhang, Xiongnan Jin, Jinpeng Chen:
Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding for Next-POI Recommendation. ICME 2023: 1529-1534
[i1]
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  - journals/corr/abs-2302-03997
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Yuan Cao, Xudong Zhang, Fan Zhang, Feifei Kou, Josiah Poon, Xiongnan Jin, Yongheng Wang, Jinpeng Chen:
SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation. CoRR abs/2302.03997 (2023)
2022
[j11]
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Xiongnan Jin, Yooyoung Lee, Jonathan G. Fiscus, Haiying Guan, Amy N. Yates, Andrew Delgado, Daniel Zhou:
MFC-Prov: Media forensics challenge image provenance evaluation and data analysis on large-scale datasets. Neurocomputing 470: 76-88 (2022)
2021
[j10]
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Xiongnan Jin, Sungkwang Eom, Sangjin Shin, Kyong-Ho Lee, Chaoqun Hong:
DORIC: discovering topological relations based on spatial link composition. Knowl. Inf. Syst. 63(10): 2645-2669 (2021)
2020
[j9]
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Sungkwang Eom, Xiongnan Jin, Kyong-Ho Lee:
Efficient generation of spatiotemporal relationships from spatial data streams and static data. Inf. Process. Manag. 57(3): 102205 (2020)
[j8]
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Sejin Chun, Jooik Jung, Xiongnan Jin, Seungmin Seo, Kyong-Ho Lee:
Designing an integrated knowledge graph for smart energy services. J. Supercomput. 76(10): 8058-8085 (2020)

2010 – 2019

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2019
[j7]
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Sangjin Shin, Xiongnan Jin, Jooik Jung, Kyong-Ho Lee:
Predicate constraints based question answering over knowledge graph. Inf. Process. Manag. 56(3): 445-462 (2019)
[j6]
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Xiongnan Jin, Jooik Jung, Sejin Chun, Seungjun Yoon, Kyong-Ho Lee:
SECoG: semantically enhanced mashup of CoAP-based IoT services. Serv. Oriented Comput. Appl. 13(1): 81-94 (2019)
[j5]
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Chaoqun Hong, Jun Yu, Jian Zhang, Xiongnan Jin, Kyong-Ho Lee:
Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning. IEEE Trans. Ind. Informatics 15(7): 3952-3961 (2019)
[j4]
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  - journals/tkde/JinSJL19
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Xiongnan Jin, Sangjin Shin, Eunju Jo, Kyong-Ho Lee:
Collective Keyword Query on a Spatial Knowledge Base. IEEE Trans. Knowl. Data Eng. 31(11): 2051-2062 (2019)
[c11]
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  - conf/cikm/JinOLLLC19
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Xiongnan Jin, Byungkook Oh, Sanghak Lee, Dongho Lee, Kyong-Ho Lee, Liang Chen:
Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations. CIKM 2019: 669-678
2018
[j3]
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  - journals/iotj/JungCJL18
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Jooik Jung, Sejin Chun, Xiongnan Jin, Kyong-Ho Lee:
Quantitative Computation of Social Strength in Social Internet of Things. IEEE Internet Things J. 5(5): 4066-4075 (2018)
[j2]
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Jooik Jung, Sejin Chun, Xiongnan Jin, Kyong-Ho Lee:
Enabling smart objects discovery via constructing hypergraphs of heterogeneous IoT interactions. J. Inf. Sci. 44(1): 110-124 (2018)
[c10]
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  - conf/bigcomp/ChunJSLSL18
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Sejin Chun, Xiongnan Jin, Seungmin Seo, Kyong-Ho Lee, Youngmee Shin, Il-Woo Lee:
Knowledge Graph Modeling for Semantic Integration of Energy Services. BigComp 2018: 732-735
2017
[j1]
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  - journals/isf/JinCJL17
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Xiongnan Jin, Sejin Chun, Jooik Jung, Kyong-Ho Lee:
A fast and scalable approach for IoT service selection based on a physical service model. Inf. Syst. Frontiers 19(6): 1357-1372 (2017)
2016
[c9]
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Sejin Chun, Jooik Jung, Xiongnan Jin, Seungjun Yoon, Kyong-Ho Lee:
Proactive Replication of Dynamic Linked Data for Scalable RDF Stream Processing. ISWC (Posters & Demos) 2016
[c8]
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Seungjun Yoon, Sejin Chun, Xiongnan Jin, Kyong-Ho Lee:
A Unified Interface for Optimizing Continuous Query in Heterogeneous RDF Stream Processing Systems. ISWC (Posters & Demos) 2016
2015
[c7]
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  - conf/huc/ChoCJL15
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Gunhee Cho, Sejin Chun, Xiongnan Jin, Kyong-Ho Lee:
Enhancing CoAP proxy for semantic composition and multicast communication. UbiComp/ISWC Adjunct 2015: 205-208
[c6]
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  - conf/services/HurCJL15
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Kangho Hur, Sejin Chun, Xiongnan Jin, Kyong-Ho Lee:
Towards a Semantic Model for Automated Deployment of IoT Services across Platforms. SERVICES 2015: 17-20
[c5]
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  - conf/wf-iot/HurJL15
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Kangho Hur, Xiongnan Jin, Kyong-Ho Lee:
Automated deployment of IoT services based on semantic description. WF-IoT 2015: 40-45
[c4]
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Xiongnan Jin, Kangho Hur, Sejin Chun, Minjung Kim, Kyong-Ho Lee:
Automated mashup of CoAP services on the Internet of Things. WF-IoT 2015: 262-267
2014
[c3]
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  - conf/dcoss/ChunJJCL14
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Sejin Chun, Jooik Jung, Xiongnan Jin, Gunhee Cho, Kyong-Ho Lee:
Poster Abstract: Semantically Enriched Object Identification for Internet of Things. DCOSS 2014: 141-142
[c2]
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Xiongnan Jin, Sejin Chun, Jooik Jung, Kyong-Ho Lee:
IoT Service Selection Based on Physical Service Model and Absolute Dominance Relationship. SOCA 2014: 65-72
[c1]
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  - conf/wf-iot/ChunJJCSL14
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Sejin Chun, Jooik Jung, Xiongnan Jin, Gunhee Cho, Jinho Shin, Kyong-Ho Lee:
Short paper: Semantic URI-based event-driven physical mashup. WF-IoT 2014: 195-196

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