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Hong Yu 0007
Person information
- affiliation: Chongqing University of Posts and Telecommunications, Chongqing, China
Other persons with the same name
- Hong Yu — disambiguation page
- Hong Yu 0001 — University of Massachusetts Lowell, MA, USA (and 3 more)
- Hong Yu 0002 — Vanderbilt University, Nashville, USA
- Hong Yu 0003 — University of Illinois at Chicago, Chicago, IL, USA
- Hong Yu 0004 — Carneqie Mellon University, Pittsburgh, PA, USA
- Hong Yu 0005 — Dalian University of Technology, Dalian, China
- Hong Yu 0006 — Ludong University, Yantai, China (and 1 more)
- Hong Yu 0008 — Dalian Ocean University, Dalian, China
- Hong Yu 0009 — PLA University of Science and Technology, Nanjing, China
- Hong Yu 0010 — Georgia Institute of Technology, Atlanta, GA, USA
- Hong Yu 0011 — Chinese Academy of Sciences, Institute of Genetics and Developmental Biology, National Center for Plant Gene Research, Beijing, China
- Hong Yu 0012 — Beijing University of Technology, Beijing, China
- Hong Yu 0013 — Waseda University, Kitakyushu, Japan
- Hong Yu 0014 — University of Michigan Medical School, Ann Arbor, MI, USA (and 1 more)
- Hong Yu 0015 — Aalborg University, Denmark
- Hong Yu 0016 — Twenty First Century Aerospace Technology Co., Ltd., Beijing, China
- Hong Yu 0017 — Center Obstetrics and Gynecology Hospital, Tianjin, China
- Hong Yu 0018 — Southeast University, Nanjing, Jiangsu, China
- Hong Yu 0019 — Peking University, Beijing, China
- Hong Yu 0021 — Fitchburg State University, Fitchburg, MA, USA
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2020 – today
- 2025
- [j51]Fujin Zhong, Yini Wu, Hong Yu, Guoyin Wang, Zhantao Lu:
A benchmark dataset and semantics-guided detection network for spatial-temporal human actions in urban driving scenes. Pattern Recognit. 158: 111035 (2025) - 2024
- [j50]Ye Wang, Zheng Wang, Hong Yu, Guoyin Wang, Dajiang Lei:
The interactive fusion of characters and lexical information for Chinese named entity recognition. Artif. Intell. Rev. 57(9): 258 (2024) - [j49]Hong Yu, Zongqiang Wang, Yongfang Xie, Guoyin Wang:
A multi-granularity hierarchical network for long- and short-term forecasting on multivariate time series data. Appl. Soft Comput. 157: 111537 (2024) - [j48]Weibin Deng, Yiteng Zhang, Hong Yu, Hongxing Li:
Knowledge graph embedding based on dynamic adaptive atrous convolution and attention mechanism for link prediction. Inf. Process. Manag. 61(2): 103642 (2024) - [j47]Fujin Zhong, Yunhe Wang, Hong Yu, Jun Hu, Yan Yang:
Mask-guided discriminative feature network for occluded person re-identification. J. Vis. Commun. Image Represent. 101: 104178 (2024) - [j46]Hong Yu, Jinxuan Tang, Zhihan Peng, Ye Wang:
Relation correlations-aware graph convolutional network with text-enhanced for knowledge graph embedding. Int. J. Mach. Learn. Cybern. 15(10): 4659-4668 (2024) - [j45]Fujin Zhong, Wenxin Shen, Hong Yu, Guoyin Wang, Jun Hu:
Dehazing & Reasoning YOLO: Prior knowledge-guided network for object detection in foggy weather. Pattern Recognit. 156: 110756 (2024) - [j44]Ye Wang, Qianmengke Zhao, Qun Liu, Guoyin Wang, Hong Yu, Li Liu, Jiaxu Leng:
KDDGAN: Knowledge-Guided Explicit Feature Disentanglement for Facial Attribute Editing. IEEE Trans. Consumer Electron. 70(1): 2759-2772 (2024) - [j43]Hong Yu, Xuekang Fan, Guoyin Wang, Yongfang Xie:
VSG3A2: A Genetic Algorithm-Based Virtual Sample Generation Approach Using Information Gain and Acceptance-Rejection Sampling. IEEE Trans. Evol. Comput. 28(5): 1514-1528 (2024) - [c43]Shijie Sun, Hanyue Liu, Ye Wang, Hong Yu:
Lung Cancer Risk Prediction Model Trained with Multi-source Data. IJCRS (2) 2024: 280-294 - 2023
- [j42]Xu Xiang, Hong Yu, Ye Wang, Guoyin Wang:
Stable local interpretable model-agnostic explanations based on a variational autoencoder. Appl. Intell. 53(23): 28226-28240 (2023) - [j41]Li-Yan Liu, Peng Huang, Hong Yu, Fan Min:
Safe co-training for semi-supervised regression. Intell. Data Anal. 27(4): 959-975 (2023) - [j40]Tianxing Wang, Bing Huang, Huaxiong Li, Dun Liu, Hong Yu:
Three-way decision for probabilistic linguistic conflict analysis via compounded risk preference. Inf. Sci. 631: 65-90 (2023) - [j39]Xing-Yi Zhang, Fan Min, Guojie Song, Hong Yu:
LSTC: When label-specific features meet third-order label correlations. Inf. Sci. 632: 617-636 (2023) - [j38]Ye Wang, Jingbo Liao, Hong Yu, Guoyin Wang, Xiaoxia Zhang, Li Liu:
Interpreting open-domain dialogue generation by disentangling latent feature representations. Neural Comput. Appl. 35(28): 20855-20867 (2023) - [j37]Ke Liu, Zhen Wang, Zhuliang Yu, Bin Xiao, Hong Yu, Wei Wu:
WRA-MTSI: A Robust Extended Source Imaging Algorithm Based on Multi-Trial EEG. IEEE Trans. Biomed. Eng. 70(10): 2809-2821 (2023) - [j36]Hong Yu, Jiangnan Gong, Guoyin Wang, Xiaofang Chen:
A Hybrid Model for Billet Tapping Temperature Prediction and Optimization in Reheating Furnace. IEEE Trans. Ind. Informatics 19(8): 8703-8712 (2023) - [c42]Shu Peng, Feifei Qi, Hong Yu, Ke Liu:
EEG Extended Source Imaging with Variation Sparsity and Lp-Norm Constraint. CICAI (2) 2023: 500-511 - [c41]Hong Yu, Qian Yang, Guoyin Wang, Yongfang Xie:
A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification : Extended abstract. ICDE 2023: 3845-3846 - 2022
- [j35]Hong Yu, Zhao Fu, Guoyin Wang, Yongfang Xie, Jie Li:
A Multi-objective optimization algorithm based on dynamic user-preference information. Computing 104(3): 627-656 (2022) - [j34]Xiaoxia Zhang, Degang Chen, Hong Yu, Guoyin Wang, Houjun Tang, Kesheng Wu:
Improving nonnegative matrix factorization with advanced graph regularization. Inf. Sci. 597: 125-143 (2022) - [j33]Zhihan Peng, Hong Yu, Xiuyi Jia:
Path-based reasoning with K-nearest neighbor and position embedding for knowledge graph completion. J. Intell. Inf. Syst. 58(3): 513-533 (2022) - [j32]Hongyuan Li, Hong Yu, Fan Min, Dun Liu, Huaxiong Li:
Incremental sequential three-way decision based on continual learning network. Int. J. Mach. Learn. Cybern. 13(6): 1633-1645 (2022) - [j31]Peng Wu, Hong Yu, Feng Hu, Yongfang Xie:
A temporal-attribute attention neural network for mixed frequency data forecasting. Int. J. Mach. Learn. Cybern. 13(9): 2519-2531 (2022) - [j30]Ye Wang, Jingbo Liao, Hong Yu, Jiaxu Leng:
Semantic-aware conditional variational autoencoder for one-to-many dialogue generation. Neural Comput. Appl. 34(16): 13683-13695 (2022) - [j29]Yan Yang, Juan Yu, Zhifang Yang, Guoyin Wang, Hong Yu, Qi Cheng:
A Trustable Data-Driven Framework for Composite System Reliability Evaluation. IEEE Syst. J. 16(4): 6697-6707 (2022) - [j28]Ke He, Zuqiang Su, Xiaoqing Tian, Hong Yu, Maolin Luo:
RUL Prediction of Wind Turbine Gearbox Bearings Based on Self-Calibration Temporal Convolutional Network. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j27]Hong Yu, Qian Yang, Guoyin Wang, Yongfang Xie:
A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification. IEEE Trans. Knowl. Data Eng. 34(10): 4572-4585 (2022) - [c40]Jiaming Zhang, Hong Yu:
Hierarchy-Aware Temporal Knowledge Graph Embedding. ICKG 2022: 373-380 - [c39]Jingbo Liao, Hong Yu, Qi Cheng, Ye Wang:
Context-aware multi-feature fusion for open-domain dialogue generation. ICIT 2022: 1-9 - [i2]Ye Wang, Jingbo Liao, Hong Yu, Guoyin Wang, Xiaoxia Zhang, Li Liu:
Advanced Conditional Variational Autoencoders (A-CVAE): Towards interpreting open-domain conversation generation via disentangling latent feature representation. CoRR abs/2207.12696 (2022) - 2021
- [j26]Xiangpeng Li, Hong Yu, Yongfang Xie, Jie Li:
Attention-based novel neural network for mixed frequency data. CAAI Trans. Intell. Technol. 6(3): 301-311 (2021) - [j25]Deniu He, Hong Yu, Guoyin Wang, Jie Li:
A two-stage clustering-based cold-start method for active learning. Intell. Data Anal. 25(5): 1169-1185 (2021) - [c38]Hong Yu, Jia Tang, Guoyin Wang, Xinbo Gao:
A Novel Multi-View Clustering Method for Unknown Mapping Relationships Between Cross-View Samples. KDD 2021: 2075-2083 - [c37]Zhihan Peng, Hong Yu:
Knowledge Graph Representation Learning for Link Prediction with Three-Way Decisions. IJCRS 2021: 266-278 - 2020
- [j24]Yongpeng Wang, Hong Yu, Guoyin Wang, Yongfang Xie:
Cross-Domain Recommendation Based on Sentiment Analysis and Latent Feature Mapping. Entropy 22(4): 473 (2020) - [j23]Hong Yu, Xincheng Wang, Guoyin Wang, Xianhua Zeng:
An active three-way clustering method via low-rank matrices for multi-view data. Inf. Sci. 507: 823-839 (2020) - [j22]Binbin Sang, Hongmei Chen, Tianrui Li, Weihua Xu, Hong Yu:
Incremental approaches for heterogeneous feature selection in dynamic ordered data. Inf. Sci. 541: 475-501 (2020) - [j21]Hong Yu, Zhihua Chang, Guoyin Wang, Xiaofang Chen:
An efficient three-way clustering algorithm based on gravitational search. Int. J. Mach. Learn. Cybern. 11(5): 1003-1016 (2020) - [j20]Hong Yu, Jing Xiong, Xiaoxia Zhang:
Multi-view clustering by exploring complex mapping relationship between views. Pattern Recognit. Lett. 138: 230-236 (2020)
2010 – 2019
- 2019
- [j19]Shuyin Xia, Yulong Xia, Hong Yu, Qun Liu, Yueguo Luo, Guoyin Wang, Zizhong Chen:
Transferring Ensemble Representations Using Deep Convolutional Neural Networks for Small-Scale Image Classification. IEEE Access 7: 168175-168186 (2019) - [j18]Rong-Ping Shen, Heng-Ru Zhang, Hong Yu, Fan Min:
Sentiment based matrix factorization with reliability for recommendation. Expert Syst. Appl. 135: 249-258 (2019) - [j17]Hong Yu, Yun Chen, Pawan Lingras, Guoyin Wang:
A three-way cluster ensemble approach for large-scale data. Int. J. Approx. Reason. 115: 32-49 (2019) - [j16]Shuyin Xia, Yunsheng Liu, Xin Ding, Guoyin Wang, Hong Yu, Yuoguo Luo:
Granular ball computing classifiers for efficient, scalable and robust learning. Inf. Sci. 483: 136-152 (2019) - [c36]Binggui Wang, Shuyin Xia, Hong Yu, Guoyin Wang:
A Fast Relative Density Method Based on Space Partitioning. ICBK 2019: 250-256 - [c35]Mengnan Cui, Hong Yu, Hongliang Zhang, Xiaofang Chen:
A Novel Matching Method for Supply and Demand Based on Three-Way Decisions. ISKE 2019: 82-89 - [c34]Jing Xiong, Hong Yu:
A Three-Way Clustering Algorithm via Decomposing Similarity Matrices for Multi-view Data with Noise. IJCRS 2019: 179-193 - 2018
- [j15]Hong Yu, Bing Zhou, Mingyao Deng, Feng Hu:
Tag recommendation method in folksonomy based on user tagging status. J. Intell. Inf. Syst. 50(3): 479-500 (2018) - [c33]Hong Yu, Jisen Yang, Xiaofang Chen, Zhong Zou, Guoyin Wang, Tao Sang:
A Soft Sensing Prediction Model of Superheat Degree in the Aluminum Electrolysis Production. IEEE BigData 2018: 2679-2684 - [c32]Yunsheng Liu, Shuyin Xia, Hong Yu, Yueguo Luo, Baiyun Chen, Kang Liu, Guoyin Wang:
Prediction of Aluminum Electrolysis Superheat Based on Improved Relative Density Noise Filter SMO. ICBK 2018: 376-381 - [c31]Hong Yu, Zuoyu Sun, Guoyin Wang, Jie Li, Yongfang Xie, Gang Guo:
A Multi-granular Hierarchical Evaluation Model for Multiple Criteria Three Sorting. ICDM Workshops 2018: 487-494 - [c30]Hong Yu, Guoyin Wang:
An Efficient Gradual Three-Way Decision Cluster Ensemble Approach. IPMU (2) 2018: 711-723 - [c29]Jing Xiong, Hong Yu:
An Adaptive Three-Way Clustering Algorithm for Mixed-Type Data. ISMIS 2018: 379-388 - [c28]Zhao Fu, Hong Yu, Hongliang Zhang, Xiaofang Chen:
A Multi-objective Optimization Algorithm Based on Preference Three-Way Decomposition. KSEM (2) 2018: 3-11 - [c27]Hong Yu:
Three-Way Decisions and Three-Way Clustering. IJCSR 2018: 13-28 - [c26]Ning Sun, Hong Yu:
A Method to Determine the Number of Clusters Based on Multi-validity Index. IJCSR 2018: 427-439 - 2017
- [c25]Shuyin Xia, Guoyin Wang, Yunsheng Liu, Qun Liu, Hong Yu:
Noise self-filtering K-nearest neighbors algorithms. IEEE BigData 2017: 1860-1965 - [c24]Hong Yu, Zhihua Chang, Bing Zhou:
A Novel Three-Way Clustering Algorithm for Mixed-Type Data. ICBK 2017: 119-126 - [c23]Jun Hu, Kai Wang, Hong Yu:
Attribute Reduction on Distributed Incomplete Decision Information System. IJCRS (1) 2017: 289-305 - [c22]Hong Yu:
A Framework of Three-Way Cluster Analysis. IJCRS (2) 2017: 300-312 - [c21]Hong Yu, Xincheng Wang, Guoyin Wang:
A Semi-supervised Three-Way Clustering Framework for Multi-view Data. IJCRS (2) 2017: 313-325 - 2016
- [j14]Shuyin Xia, Guoyin Wang, Hong Yu, Qun Liu, Jin Wang:
Vibration-Based Outlier Detection on High Dimensional Data. Int. J. Artif. Intell. Tools 25(3): 1650013:1-1650013:15 (2016) - [j13]Hong Yu, Peng Jiao, Yiyu Yao, Guoyin Wang:
Detecting and refining overlapping regions in complex networks with three-way decisions. Inf. Sci. 373: 21-41 (2016) - [j12]Hong Yu, Cong Zhang, Guoyin Wang:
A tree-based incremental overlapping clustering method using the three-way decision theory. Knowl. Based Syst. 91: 189-203 (2016) - [c20]Hong Yu, Haibo Zhang:
A Three-Way Decision Clustering Approach for High Dimensional Data. IJCRS 2016: 229-239 - 2015
- [j11]Guoyin Wang, Xi'ao Ma, Hong Yu:
Monotonic uncertainty measures for attribute reduction in probabilistic rough set model. Int. J. Approx. Reason. 59: 41-67 (2015) - [j10]Qinghua Zhang, Jin Wang, Guoyin Wang, Hong Yu:
The approximation set of a vague set in rough approximation space. Inf. Sci. 300: 1-19 (2015) - [c19]Hong Yu, Guoyin Wang, Baoqing Hu, Xiuyi Jia, Huaxiong Li, Tianrui Li, Decui Liang, Jiye Liang, Baoxiang Liu, Dun Liu, Jianmin Ma, Duoqian Miao, Fan Min, Jian-Jun Qi, Lin Shang, Jiucheng Xu, Hailong Yang, Jingtao Yao, Yiyu Yao, Hongying Zhang, Yanping Zhang, Yanhui Zhu:
Methods and Practices of Three-Way Decisions for Complex Problem Solving. RSKT 2015: 255-265 - [e2]Yiyu Yao, Qinghua Hu, Hong Yu, Jerzy W. Grzymala-Busse:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings. Lecture Notes in Computer Science 9437, Springer 2015, ISBN 978-3-319-25782-2 [contents] - [i1]Xi'ao Ma, Guoyin Wang, Hong Yu:
Heuristic algorithms for finding distribution reducts in probabilistic rough set model. CoRR abs/1512.07162 (2015) - 2014
- [j9]Hong Yu, Zhanguo Liu, Guoyin Wang:
An automatic method to determine the number of clusters using decision-theoretic rough set. Int. J. Approx. Reason. 55(1): 101-115 (2014) - [j8]Hong Yu, Qingfeng Zhou, Man Liu:
A Dynamic Composite Web Services Selection Method With QoS-Aware Based on AND/OR Graph. Int. J. Comput. Intell. Syst. 7(4): 660-675 (2014) - [j7]Xi'ao Ma, Guoyin Wang, Hong Yu, Tianrui Li:
Decision region distribution preservation reduction in decision-theoretic rough set model. Inf. Sci. 278: 614-640 (2014) - [j6]Hong Yu, Ying Wang, Peng Jiao:
A Three-Way Decisions Approach to Density-Based Overlapping Clustering. Trans. Rough Sets 18: 92-109 (2014) - [c18]Jun Hu, Feng Hu, Hong Yu:
Fuzziness of rough sets generated by a covering. FSKD 2014: 914-918 - [c17]Hong Yu, Cong Zhang, Feng Hu:
An Incremental Clustering Approach Based on Three-Way Decisions. RSCTC 2014: 152-159 - [c16]Guoyin Wang, Xi'ao Ma, Hong Yu:
Monotonic Uncertainty Measures in Probabilistic Rough Set Model. RSEISP 2014: 88-98 - [c15]Hong Yu, Ting Su, Xianhua Zeng:
A Three-Way Decisions Clustering Algorithm for Incomplete Data. RSKT 2014: 765-776 - [c14]Hong Yu, Peng Jiao, Guoyin Wang, Yiyu Yao:
Categorizing Overlapping Regions in Clustering Analysis Using Three-Way Decisions. WI-IAT (1) 2014: 350-357 - 2013
- [c13]Xi'ao Ma, Guoyin Wang, Hong Yu, Feng Hu:
Test-Cost-Sensitive Attribute Reduction in Decision-Theoretic Rough Sets. MIWAI 2013: 143-152 - [c12]Guoyin Wang, Changlin Xu, Hong Yu:
Expression and Processing of Uncertain Information. RSKT 2013: 53-65 - [c11]Hong Yu, Qingfeng Zhou:
A Cluster Ensemble Framework Based on Three-Way Decisions. RSKT 2013: 302-312 - 2012
- [j5]Guoyin Wang, Andrzej Skowron, Yiyu Yao, Hong Yu:
Preface. Fundam. Informaticae 115(2-3) (2012) - [j4]Hong Yu, Shuangshuang Chu, Dachun Yang:
Autonomous Knowledge-oriented Clustering Using Decision-Theoretic Rough Set Theory. Fundam. Informaticae 115(2-3): 141-156 (2012) - [c10]Xi'ao Ma, Guoyin Wang, Hong Yu:
Multiple-Category Attribute Reduct Using Decision-Theoretic Rough Set Model. RSCTC 2012: 267-276 - [c9]Hong Yu, Ying Wang:
Three-Way Decisions Method for Overlapping Clustering. RSCTC 2012: 277-286 - [e1]Tianrui Li, Hung Son Nguyen, Guoyin Wang, Jerzy W. Grzymala-Busse, Ryszard Janicki, Aboul Ella Hassanien, Hong Yu:
Rough Sets and Knowledge Technology - 7th International Conference, RSKT 2012, Chengdu, China, August 17-20, 2012. Proceedings. Lecture Notes in Computer Science 7414, Springer 2012, ISBN 978-3-642-31899-3 [contents] - 2011
- [j3]Hong Yu, Hu Luo:
A novel possibilistic fuzzy leader clustering algorithm. Int. J. Hybrid Intell. Syst. 8(1): 31-40 (2011) - [j2]Hong Yu, Guoyin Wang, Fakuan Lan:
Solving the Attribute Reduction Problem with Ant Colony Optimization. Trans. Rough Sets 13: 240-259 (2011) - [c8]Hong Yu, Man Liu:
A QoS-Aware Web Services Selection Model Using AND/OR Graph. ADMA (1) 2011: 124-137 - [c7]Hong Yu, Zhanguo Liu, Guoyin Wang:
Automatically Determining the Number of Clusters Using Decision-Theoretic Rough Set. RSKT 2011: 504-513 - 2010
- [j1]Xiaohong Zhang, Yiyu Yao, Hong Yu:
Rough implication operator based on strong topological rough algebras. Inf. Sci. 180(19): 3764-3780 (2010) - [c6]Hong Yu, Shuangshuang Chu, Dachun Yang:
A semiautonomous clustering algorithm based on decision-theoretic rough set theory. IEEE ICCI 2010: 477-483 - [c5]Hong Yu, Hu Luo, Shuangshuang Chu:
Web Users Access Paths Clustering Based on Possibilistic and Fuzzy Sets Theory. ADMA (1) 2010: 12-23 - [c4]Hong Yu, Shuangshuang Chu, Dachun Yang:
Autonomous Knowledge-Oriented Clustering Using Decision-Theoretic Rough Set Theory. RSKT 2010: 687-694
2000 – 2009
- 2009
- [c3]Hong Yu, Hu Luo:
A Novel Possibilistic Fuzzy Leader Clustering Algorithm. RSFDGrC 2009: 423-430 - 2008
- [c2]Hong Yu, Guoyin Wang, Fakuan Lan:
Solving the Attribute Reduction Problem with Ant Colony Optimization. RSCTC 2008: 242-251 - 2002
- [c1]Hong Yu, Guoyin Wang, Dachun Yang, Zhongfu Wu:
Knowledge reduction algorithms based on rough set and conditional information entropy. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 422-431
Coauthor Index
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