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Weiwei Yuan

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Donghai Guan

> Home > Persons > Weiwei Yuan

Publications

2026
[j41]
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Donghai Guan, Junqiong Nie, Weiwei Yuan:
Graph knowledge distillation with high frequency in homophily and heterophily graphs. Neural Networks 203: 109171 (2026)
[j40]
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Saisai Lv, Donghai Guan, Weiwei Yuan, Çetin Kaya Koç:
SleepAC: Less Dependency on Manual Annotations, More Reliable Sampling for Automatic Sleep Staging. IEEE J. Biomed. Health Informatics 30(1): 655-665 (2026)
2025
[j39]
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Jiaqi Wu, Donghai Guan, Weiwei Yuan:
Echo lite voice fusion network: advancing underwater acoustic voiceprint recognition with lightweight neural architectures. Appl. Intell. 55(2): 112 (2025)
[j38]
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Xinyu Hu, Donghai Guan, Weiwei Yuan, Qi Zhu, Çetin Kaya Koç:
Adaptive imbalanced node classification graph contrastive learning. Neurocomputing 654: 131280 (2025)
[j37]
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Chang Liu, Donghai Guan, Weiwei Yuan, Çetin Kaya Koç:
ITS2Graph: Graph-based generative adversarial learning for imbalanced time series classification. Neural Networks 191: 107770 (2025)
[j36]
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Qianglong Yi, Chenggang Xie, Donghai Guan, Weiwei Yuan:
Man2Marine : Marine mammal sound classification in small samples by transfer learning from human sound data. Pattern Recognit. Lett. 190: 185-191 (2025)
[j35]
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Donghai Guan, Junshuang Peng, Qinglin Zhang, Weiwei Yuan, Mingqiang Wei:
ConSeaNet: A Dynamic SAR Ship Detection Model via Unsupervised Contrastive Learning of Representative Features. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 26068-26080 (2025)
[c60]
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  - conf/aaai/ChenGYZ25
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Yiyuan Chen, Donghai Guan, Weiwei Yuan, Tianzi Zang:
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing. AAAI 2025: 15948-15956
2024
[j34]
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Yongbo Ma, Donghai Guan, Yuwen Deng, Weiwei Yuan, Mingqiang Wei:
3SD-Net: SAR Small Ship Detection Neural Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024)
[j33]
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Weiwei Yuan, Xiang Li, Donghai Guan:
Multi-View Attributed Network Embedding Using Manifold Regularization Preserving Non-Negative Matrix Factorization. IEEE Trans. Knowl. Data Eng. 36(6): 2563-2571 (2024)
[c57]
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Mingshen Huang, Weiwei Yuan, Donghai Guan, Mengze Lu, Çetin Kaya Koç:
Guided Particle Adaptation PSO for Feature Selection on High-dimensional Classification. ICIC (1) 2024: 14-26
[c56]
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Qinglin Zhang, Donghai Guan, Weiwei Yuan, Mingqiang Wei:
Sea-ShipNet: Detect Any Ship in SAR Images. ICPR (3) 2024: 196-209
2023
[c55]
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  - conf/apweb/ZhengGXY23
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Hao Zheng, Donghai Guan, Shuai Xu, Weiwei Yuan:
DCNS: A Double-Cache Negative Sampling Method for Improving Knowledge Graph Embedding. APWeb/WAIM (4) 2023: 438-450
[c54]
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Jiemin Ji, Donghai Guan, Weiwei Yuan, Yuwen Deng:
Unified Counterfactual Explanation Framework for Black-Box Models. PRICAI (3) 2023: 422-433
2022
[j32]
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  - journals/ejwcn/YuanHGHTAA22
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Weiwei Yuan, Yun Han, Donghai Guan, Guangjie Han, Yuan Tian, Abdullah Al-Dhelaan, Mohammed Al-Dhelaan:
Weighted enclosing subgraph-based link prediction for complex network. EURASIP J. Wirel. Commun. Netw. 2022(1): 65 (2022)
[j31]
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Susu Zheng, Weiwei Yuan, Donghai Guan:
Heterogeneous information network embedding with incomplete multi-view fusion. Frontiers Comput. Sci. 16(5) (2022)
[j30]
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Weiwei Yuan, Chenyang Shi, Donghai Guan:
Dynamic network embedding via multiple sequence learning. Neural Comput. Appl. 34(5): 3843-3855 (2022)
[j29]
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Susu Zheng, Donghai Guan, Weiwei Yuan:
Semantic-aware heterogeneous information network embedding with incompatible meta-paths. World Wide Web 25(1): 1-21 (2022)
[c53]
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  - conf/icassp/DengGCYJW22
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Yuwen Deng, Donghai Guan, Yanyu Chen, Weiwei Yuan, Jiemin Ji, Mingqiang Wei:
Sar-Shipnet: Sar-Ship Detection Neural Network via Bidirectional Coordinate Attention and Multi-Resolution Feature Fusion. ICASSP 2022: 3973-3977
[c52]
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Hongsong Peng, Weiwei Yuan, Yimin Pu, Xiying Yang, Donghai Guan, Ran Guo:
An Explainable Optimization Method for Assembly Process Parameter. ICBDS 2022: 391-404
[c51]
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Jiemin Ji, Donghai Guan, Yuwen Deng, Weiwei Yuan:
Model-Agnostic Causal Principle for Unbiased KPI Anomaly Detection. IJCNN 2022: 1-8
[i1]
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  - journals/corr/abs-2203-15480
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Yuwen Deng, Donghai Guan, Yanyu Chen, Weiwei Yuan, Jiemin Ji, Mingqiang Wei:
SAR-ShipNet: SAR-Ship Detection Neural Network via Bidirectional Coordinate Attention and Multi-resolution Feature Fusion. CoRR abs/2203.15480 (2022)
2021
[j27]
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Jiali Pang, Weiwei Yuan, Donghai Guan:
Tri-Domain pattern preserving sign prediction for signed networks. Neurocomputing 421: 234-243 (2021)
[j26]
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Weiwei Yuan, Guangjie Han, Donghai Guan:
Learning From Mislabeled Training Data Through Ambiguous Learning for In-Home Health Monitoring. IEEE J. Sel. Areas Commun. 39(2): 549-561 (2021)
[j25]
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Donghai Guan, Kai Chen, Guangjie Han, Shuqiang Huang, Weiwei Yuan, Mohsen Guizani, Lei Shu:
A Novel Class Noise Detection Method for High-Dimensional Data in Industrial Informatics. IEEE Trans. Ind. Informatics 17(3): 2181-2190 (2021)
[c50]
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Xiang Li, Donghai Guan, Weiwei Yuan:
Attributed Network Embedding via Edge Information Enhancing for Wireless Communication Network. IWCMC 2021: 2169-2175
2020
[j24]
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Weiwei Yuan, Kangya He, Chenyang Shi, Donghai Guan, Yuan Tian, Abdullah Al-Dhelaan, Mohammed Al-Dhelaan:
Multi-view network embedding with node similarity ensemble. World Wide Web 23(5): 2699-2714 (2020)
[c49]
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  - conf/bdccf/GaudelGYSCT20
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Bijay Gaudel, Donghai Guan, Weiwei Yuan, Deepanjal Shrestha, Bing Chen, Yaofeng Tu:
Graph Representation Learning Using Attention Network. Big Data (CCF) 2020: 137-147
[c48]
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  - conf/icbds/XiaoGZYTK20
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Hui Xiao, Donghai Guan, Rui Zhao, Weiwei Yuan, Yaofeng Tu, Asad Masood Khattak:
Semi-supervised Time Series Anomaly Detection Model Based on LSTM Autoencoder. ICBDS 2020: 41-53
[c47]
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Rui Zhao, Donghai Guan, Yuanfeng Jin, Hui Xiao, Weiwei Yuan, Yaofeng Tu, Asad Masood Khattak:
Hard Disk Failure Prediction via Transfer Learning. ICBDS 2020: 522-536
[c46]
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Chenyang Shi, Donghai Guan, Weiwei Yuan:
Deep Learning Preserving Renal Dialysis Treatment Recommendation. ICOIN 2020: 49-54
[c45]
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Huanguang Wu, Donghai Guan, Guangjie Han, Weiwei Yuan, Mohsen Guizani:
Signed Network Embedding with Dynamic Metric Learning. IWCMC 2020: 533-538
[c44]
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Tingting Wang, Weiwei Yuan, Donghai Guan:
Attributed Heterogeneous Network Embedding for Link Prediction. PKAW 2020: 106-119
2019
[j22]
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  - journals/access/GuanWYZTAA19
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Donghai Guan, Tingting Wang, Weiwei Yuan, Lejun Zhang, Yuan Tian, Mohammed Al-Dhelaan, Abdullah Al-Dhelaan:
SWNF: Sign Prediction of Weak Ties Based on the Network Features. IEEE Access 7: 102054-102063 (2019)
[j21]
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  - journals/complexity/YuanPGTAA19
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Weiwei Yuan, Jiali Pang, Donghai Guan, Yuan Tian, Abdullah Al-Dhelaan, Mohammed Al-Dhelaan:
Sign Prediction on Unlabeled Social Networks Using Branch and Bound Optimized Transfer Learning. Complex. 2019: 4906903:1-4906903:11 (2019)
[j20]
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Weiwei Yuan, Kangya He, Guangjie Han, Donghai Guan, Asad Masood Khattak:
User behavior prediction via heterogeneous information preserving network embedding. Future Gener. Comput. Syst. 92: 52-58 (2019)
[j19]
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Weiwei Yuan, Chenliang Li, Guangjie Han, Donghai Guan, Li Zhou, Kangya He:
Negative sign prediction for signed social networks. Future Gener. Comput. Syst. 93: 962-970 (2019)
[j18]
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Weiwei Yuan, Kangya He, Donghai Guan, Li Zhou, Chenliang Li:
Graph kernel based link prediction for signed social networks. Inf. Fusion 46: 1-10 (2019)
[c43]
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  - conf/adma/HanGY19
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Yun Han, Donghai Guan, Weiwei Yuan:
Learning Subgraph Structure with LSTM for Complex Network Link Prediction. ADMA 2019: 34-47
[c42]
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Jiali Pang, Donghai Guan, Weiwei Yuan:
Tri-Level Cross-Domain Sign Prediction for Complex Network. ADMA 2019: 95-106
[c41]
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Ran Wei, Weiwei Yuan, Donghai Guan, Asad Masood Khattak, Muhammad Fahim:
Improving Complex Network Controllability via Link Prediction. MLICOM 2019: 84-97
[c40]
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Cong Li, Donghai Guan, Zhiyuan Cui, Weiwei Yuan, Asad Masood Khattak, Muhammad Fahim:
Noise Reduction in Network Embedding. MLICOM 2019: 109-120
[c39]
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Qi Zhang, Donghai Guan, Weiwei Yuan, Asad Masood Khattak:
Active Sampling Based on MMD for Model Adaptation. MLICOM 2019: 397-409
[c38]
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Chenliang Li, Donghai Guan, Weiwei Yuan:
Network Embedding via Link Strength Adjusted Random Walk. PKAW 2019: 163-172
2018
[j17]
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Donghai Guan, Hongqiang Wei, Weiwei Yuan, Guangjie Han, Yuan Tian, Mohammed Al-Dhelaan, Abdullah Al-Dhelaan:
Improving Label Noise Filtering by Exploiting Unlabeled Data. IEEE Access 6: 11154-11165 (2018)
[j16]
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Weiwei Yuan, Donghai Guan, Tinghuai Ma, Asad Masood Khattak:
Classification with class noises through probabilistic sampling. Inf. Fusion 41: 57-67 (2018)
[j14]
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Weiwei Yuan, Donghai Guan, Qi Zhu, Tinghuai Ma:
Novel mislabeled training data detection algorithm. Neural Comput. Appl. 29(10): 673-683 (2018)
[j13]
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Weiwei Yuan, Chenliang Li, Donghai Guan, Guangjie Han, Asad Masood Khattak:
Socialized healthcare service recommendation using deep learning. Neural Comput. Appl. 30(7): 2071-2082 (2018)
[c37]
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Kai Chen, Donghai Guan, Weiwei Yuan, Bohan Li, Asad Masood Khattak, Omar Alfandi:
A Novel Feature Selection-Based Sequential Ensemble Learning Method for Class Noise Detection in High-Dimensional Data. ADMA 2018: 55-65
2017
[j12]
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Weiwei Yuan, Li Zhou, Donghai Guan, Guangjie Han, Lei Shu:
Anomaly Detection for Civil Aviation Pilots Using Step-Sensors. IEEE Access 5: 11236-11243 (2017)
[j11]
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Weiwei Yuan, Kangya He, Donghai Guan, Guangjie Han:
Edge-Dual Graph Preserving Sign Prediction for Signed Social Networks. IEEE Access 5: 19383-19392 (2017)
[j10]
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Donghai Guan, Weiwei Yuan, Tinghuai Ma, Asad Masood Khattak, Francis Chow:
Cost-sensitive elimination of mislabeled training data. Inf. Sci. 402: 170-181 (2017)
[c34]
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Weiwei Yuan, Chenliang Li, Donghai Guan, Guangjie Han, Feng Wang:
IoT Service Provider Recommender Model Using Trust Strength. IoTaaS 2017: 286-293
[c33]
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Kangya He, Donghai Guan, Weiwei Yuan:
Community Preserving Sign Prediction for Weak Ties of Complex Networks. QSHINE 2017: 13-22
[c32]
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Ning Yuan, Donghai Guan, Qi Zhu, Weiwei Yuan:
Self-paced learning for multi-modal fusion for alzheimer's disease diagnosis. SPAC 2017: 1-6
[c31]
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Hongqiang Wei, Qi Zhu, Donghai Guan, Weiwei Yuan, Asad Masood Khattak, Francis Chow:
Improved label noise identification by exploiting unlabeled data. SPAC 2017: 284-289
2016
[c29]
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Weiwei Yuan, Donghai Guan, Taeyeon Kim, Young-Koo Lee:
OS_Searching: Optimized Skeleton based Recommender Searching Mechanism for the Trust-Aware Recommender System. IMCOM 2016: 98:1-98:4
2015
[j9]
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Weiwei Yuan, Donghai Guan, Sungyoung Lee, Jin Wang:
Skeleton Searching Strategy for Recommender Searching Mechanism of Trust-Aware Recommender Systems. Comput. J. 58(9): 1876-1883 (2015)
2014
[j8]
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Donghai Guan, Weiwei Yuan, Tinghuai Ma, Sungyoung Lee:
Detecting potential labeling errors for bioinformatics by multiple voting. Knowl. Based Syst. 66: 28-35 (2014)
[c27]
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Weiwei Yuan, Donghai Guan, Sungyoung Lee:
Extract reputable users for trust-aware applications. ICUIMC 2014: 52:1-52:7
2013
[c26]
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Donghai Guan, Weiwei Yuan, Linshan Shen:
Class noise detection by multiple voting. ICNC 2013: 906-911
[c25]
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Weiwei Yuan, Donghai Guan, Yongkoo Han, Sungyoung Lee, Young-Koo Lee:
More reputable recommenders give more accurate recommendations? ICUIMC 2013: 24
2012
[c24]
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Weiwei Yuan, Sungyoung Lee, Yongkoo Han, Donghai Guan, Young-Koo Lee:
Efficient routing on finding recommenders for trust-aware recommender systems. ICUIMC 2012: 29:1-29:6
[c23]
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Weiwei Yuan, Donghai Guan, Lei Shu, Jianwei Niu:
Efficient Searching Mechanism for Trust-Aware Recommender Systems Based on Scale-Freeness of Trust Networks. TrustCom 2012: 1819-1823
2011
[j6]
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Donghai Guan, Weiwei Yuan, Young-Koo Lee, Sungyoung Lee:
Identifying mislabeled training data with the aid of unlabeled data. Appl. Intell. 35(3): 345-358 (2011)
[j5]
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Weiwei Yuan, Donghai Guan, Young-Koo Lee, Sungyoung Lee:
The small-world trust network. Appl. Intell. 35(3): 399-410 (2011)
[c22]
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Weiwei Yuan, Yongkoo Han, Donghai Guan, Sungyoung Lee, Young-Koo Lee:
Initial training data selection for active learning. ICUIMC 2011: 5
2010
[j4]
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Weiwei Yuan, Lei Shu, Han-Chieh Chao, Donghai Guan, Young-Koo Lee, Sungyoung Lee:
ITARS: trust-aware recommender system using implicit trust networks. IET Commun. 4(14): 1709-1721 (2010)
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Weiwei Yuan, Donghai Guan, Young-Koo Lee, Sungyoung Lee, Sung Jin Hur:
Improved trust-aware recommender system using small-worldness of trust networks. Knowl. Based Syst. 23(3): 232-238 (2010)
2009
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Donghai Guan, Weiwei Yuan, Young-Koo Lee, Sungyoung Lee:
Nearest neighbor editing aided by unlabeled data. Inf. Sci. 179(13): 2273-2282 (2009)
2008
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Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey Gavrilov, Sungyoung Lee:
Improving supervised learning performance by using fuzzy clustering method to select training data. J. Intell. Fuzzy Syst. 19(4-5): 321-334 (2008)
[c20]
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Donghai Guan, Weiwei Yuan, Young-Koo Lee, Sungyoung Lee:
Training data selection based on fuzzy c-means. FUZZ-IEEE 2008: 761-765
[c18]
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Donghai Guan, Weiwei Yuan, Young-Koo Lee, Sungyoung Lee:
Semi-supervised nearest neighbor editing. IJCNN 2008: 1183-1187
[c16]
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Weiwei Yuan, Donghai Guan, Sungyoung Lee:
Trust Management for Ubiquitous Healthcare. ISPA 2008: 63-70
2007
[c14]
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Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey Gavrilov, Sungyoung Lee:
Combining Multi-layer Perceptron and K-Means for Data Clustering with Background Knowledge. ICIC (3) 2007: 1220-1226
[c13]
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Donghai Guan, Weiwei Yuan, Sungyoung Lee, Young-Koo Lee:
Context Selection and Reasoning in Ubiquitous Computing. IPC 2007: 184-187
[c12]
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Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Koo Lee:
A reputation system based on computing with words. IWCMC 2007: 132-137
[c11]
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Donghai Guan, Andrey Gavrilov, Weiwei Yuan, Young-Koo Lee, Sungyoung Lee:
A Novel Hybrid Neural Network for Data Clustering. MLMTA 2007: 284-288
[c10]
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Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Koo Lee, Heejo Lee:
Bayesian memory-based reputation system. MobiMedia 2007: 9
[c9]
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Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey Gavrilov, Sungyoung Lee:
Activity Recognition Based on Semi-supervised Learning. RTCSA 2007: 469-475
[c8]
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Donghai Guan, Weiwei Yuan, Seong Jin Cho, Andrey Gavrilov, Young-Koo Lee, Sungyoung Lee:
Devising a Context Selection-Based Reasoning Engine for Context-Aware Ubiquitous Computing Middleware. UIC 2007: 849-857
2006
[c7]
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Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Koo Lee:
A Dynamic Trust Model Based on Naive Bayes Classifier for Ubiquitous Environments. HPCC 2006: 562-571
[c6]
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Donghai Guan, Weiwei Yuan, Andrey Gavrilov, Sungyoung Lee, Young-Koo Lee, Sangman Han:
Using Fuzzy Decision Tree to Handle Uncertainty in Context Deduction. ICIC (2) 2006: 63-72
[c5]
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Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Koo Lee, Heejo Lee:
Filtering Out Unfair Recommendations for Trust Model in Ubiquitous Environments. ICISS 2006: 357-360
[c4]
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Weiwei Yuan, Donghai Guan, Le Xuan Hung, Young-Koo Lee, Sungyoung Lee:
A Trust Model with Dynamic Decision Making for Ubiquitous Environments. ICON 2006: 1-6
[c3]
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Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Koo Lee:
A Context-Based Architecture for Reliable Trust Model in Ubiquitous Environments. ICON 2006: 1-5
[c1]
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Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Koo Lee, Andrey Gavrilov:
Finding Reliable Recommendations for Trust Model. WISE 2006: 375-386

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