Publication: Difference between revisions

← Older edit

Publication (view source)

Revision as of 15:43, 7 October 2026

4,685 bytes added , 7 October

→‎Journal articles

Kelab

Bureaucrats, Interface administrators, Administrators

380

edits

@@ Line 2: / Line 2: @@
 == Journal articles ==
+* Gwanpil Kim, Jason J. Jung, Yuxuan Gu, Weiwei Yuan, David Camacho, "Uncertainty management in data-driven state estimation: Taxonomy, methods, and battery applications," Information Fusion, Vol. 137, Article ID 104642, 2027.; DOI: 10.1016/j.inffus.2026.104642
+* Jussi Kalliola, David Hästbacka, Jason J. Jung, "Computation Offloading in Collaborative Computing Systems: A Comprehensive Survey on Methods, Challenges, and Future Directions," JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, Vol. 214, Article ID 105284, 2027.; DOI: 10.1016/j.jpdc.2026.105284
 * Phan TA, Nam S, Jung JJ, “A Data-Driven Comparative Analysis on Citation Intents Across Scientific Disciplines,” PLOS ONE, Vol. 21, No. 9, 2026, e0358327; DOI: 10.1371/journal.pone.0358327
+* Gen Li, Longlong Yu, Gwanpil Kim, Jason J. Jung, "Dynamic relational network embedding-based anomaly detection for predicting financial risks," Discover Computing, Vol. 29, 493, 2026.; DOI: 10.1007/s10791-026-10424-2
+* Tuan Anh Phan, Khac-Hoai Nam Bui, Jason J. Jung, "Understanding Citation Intents by Generative Intent Model based on Heterogeneous Graph Neural Network," Information Processing & Management, Vol. 63, No. 6, 104743, 2026.; DOI: 10.1016/j.ipm.2026.104743
+* Tuan Anh Phan, Jason J. Jung, "Leveraging citation intent for publication relatedness," Discover Computing, Vol. 29, 98, 2026.; DOI: 10.1007/s10791-026-09995-x
+* Sunbin Shin, Luong Vuong Nguyen, Grzegorz J. Nalepa, Paulo Novais, Xuan Hau Pham, and Jason J. Jung, "Conditional Generative Adversarial Network-based Travel Route Recommendation," CMC-Computers, Materials & Continua, Vol. 86, No. 1, pp. 1-40, 2026.; DOI: 10.32604/cmc.2025.070613
+* Luong Vuong Nguyen, GwanPil Kim, Jason J. Jung, "User Clustering Based on Cross-Domain Cognition for Recommendation Services," The European Journal on Artificial Intelligence (formerly, AI Communications), Vol. 39, No. 1, pp. 16-28, 2026.; DOI: 10.1177/30504554251321149
+* Guilherme Afonso Galindo Padilha, Jason J. Jung, Paulo S. G. de Mattos Neto, "Memetic Algorithm-based Optimization of Hybrid Forecasting Systems for Multivariate Time Series," Neural Computing & Applications, Vol. 37, No. 17, pp. 10689-10706, 2025.; DOI: 10.1007/s00521-024-10618-z
+* Giang T.C. Tran, Jason J. Jung, Jeonghun Han, "Mitigating Social Polarization in Video Sharing Platform using Unbiased Recommendation System: A Case Study of South Korea Political YouTube Channels," Technology in Society, Vol. 82, 102881, 2025.; DOI: 10.1016/j.techsoc.2025.102881
+* Gwanpil Kim, Jason J. Jung, Dong Kyu Kim, Min Koo, Grzegorz J. Nalepa, Slawomir Nowaczyk, "Fuzzy Particle Filtering based Approach for Battery RUL Prediction with Uncertainty Reduction Strategies," Expert Systems, Vol. 42, No. 4, e70027, 2025.; DOI: 10.1111/exsy.70027
+* Dong Hee Jung, Jason J. Jung, "Data-driven understanding on soccer team tactics and ranking trends: Elo rating-based trends on European soccer leagues," PLOS ONE, Vol. 20, No. 2, e0318485, 2025.; DOI: 10.1371/journal.pone.0318485
+* Gwanpil Kim, Jason J. Jung, David Camacho, "Health Indicator Construction Based on Normal States Through FFT-Graph Embedding," Expert Systems, Vol. 41, No. 11, e13689, 2024.; DOI: 10.1111/exsy.13689
+* Jong Hee Jeon, Jason J. Jung, "Article ranking with location-based weight in contextual citation network," Journal of Informetrics, Vol. 18, No. 4, 101591, 2024.: DOI: 10.1016/j.joi.2024.101591
+* Hoon Park, Jason J. Jung, "HeteLFX: Heterogeneous recommendation with latent feature extraction," Electronic Commerce Research and Applications, Vol. 67, 101419, 2024.: DOI: 10.1016/j.elerap.2024.101419
+* Hoon Park, Jason J. Jung, "Latent Mutual Feature Extraction for Cross-domain Recommendation," Knowledge and Information Systems, Vol. 66, pp. 3337–3354, 2024.; DOI: 10.1007/s10115-024-02065-y
+* Minsung Hong, Sojung An, Rajendra Akerkar, David Camacho, Jason J. Jung, "Cross-cultural contextualization for recommender systems," Journal of Ambient Intelligence and Humanized Computing, Vol. 15, pp. 1659–1670, 2024.; DOI: 10.1007/s12652-019-01479-9
+* Gen Li, Jason J. Jung, "Dynamic Graph Embedding-based Anomaly Detection on IoT Time Series," Expert Systems, Vol. 41, No. 2, e13083, 2024.; DOI: 10.1111/exsy.13083
 * Gu Y, Li G, Gu J, Jung JJ, Graph embedding-based Anomaly localization for HVAC system, Journal of Building Engineering, 2023, 107511; ISSN 2352-7102, <nowiki>https://doi.org/10.1016/j.jobe.2023.107511</nowiki>
@@ Line 138: / Line 155: @@
 == Conference Proceedings ==
+* Yuxuan Gu, Yicong Li, Weiwei Yuan, Tianzi Zang, Donghai Guan, Jason J. Jung, Jie Zhao, Yongbo Ma, "FairTCD: Dual-Teacher Temporal Contrastive Distillation for Twofold Fair Dynamic Graph Embedding," Proceedings of the (IJCAI-ECAI 2026), pp. xxx-xxx, Bremen, Germany, August 15–21, 2026.; DOI:
 * Nam S, Phan TA, Kim G, Jung JJ, Bui KHN, “Where You Cite Matters: Section-Aware Embeddings for Citation Intent Classification,” Proceedings of the 2025 RIVF International Conference on Computing and Communication Technologies (RIVF), 2025, pp. 1055–1060; DOI: 10.1109/RIVF68649.2025.11365141
+* GwanPil Kim, Jason J. Jung, "VQ-GCAE: Vector-Quantized Graph Convolutional Autoencoder for Early Anomaly Detection in Multivariate Time Series," Proceedings of the 26th International Conference Intelligent Data Engineering and Automated Learning (IDEAL 2025), pp. 427-438, Jaén, Spain, November 13-15, 2025.; DOI: 10.1007/978-3-032-10486-1_39
 * Tri-Hai Nguyen, Gen Li, Hyoenseong Jo, Jason J. Jung, David Camacho, "Cooperative Negotiation in Connected Vehicles for Mitigating Traffic Congestion," Proceedings of the 14th International Symposium on Intelligent Distributed Computing (IDC 2021), Italy (Virtual Event), Sep 16-18, 2021. Springer.