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2020 – today
- 2025
[j74]Yongrui Xu, Shang Zheng, Haitao Zou
, Hualong Yu, Shang Gao:
Balancing quality and efficiency: An improved non-autoregressive model for pseudocode-to-code conversion. J. Syst. Softw. 219: 112206 (2025)- 2024
- [j73]Shiqi Wu, Hualong Yu, Yan Gu, Changbin Shao, Shang Gao:
SNN-PDM: An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique. J. Classif. 41(2): 289-312 (2024) - [j72]Jicong Duan, Xibei Yang, Shang Gao, Hualong Yu:
A partition-based problem transformation algorithm for classifying imbalanced multi-label data. Eng. Appl. Artif. Intell. 128: 107506 (2024) - [j71]Jicong Duan, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data. Expert Syst. Appl. 236: 121366 (2024) - [j70]Jinghong Zhang, Yingying Li, Bowen Liu, Hao Chen, Jie Zhou, Hualong Yu, Bin Qin:
A dynamic broad TSK fuzzy classifier based on iterative learning on progressively rebalanced data. Inf. Sci. 677: 120976 (2024) - [j69]Yuan Zhang, Xiaoli Gong, Hualong Yu, Zijun Wu, Lu Yu:
Distance-based feature repack algorithm for video coding for machines. J. Vis. Commun. Image Represent. 102: 104150 (2024) - [j68]Xiaoxiao Wang, Xibei Yang, Pingxin Wang, Hualong Yu, Taihua Xu:
SSGCN: a sampling sequential guided graph convolutional network. Int. J. Mach. Learn. Cybern. 15(5): 2023-2038 (2024) - [j67]Ruidi Zheng, Xiuhua Jiang, Jiaqi Zhang, Hualong Yu:
Blind visual quality assessment for super-resolution images: database and model. Multim. Tools Appl. 83(20): 57963-57982 (2024) - [j66]Xing Zong, Shang Zheng, Haitao Zou, Hualong Yu, Shang Gao:
GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation. Sci. Comput. Program. 238: 103166 (2024) - 2023
- [j65]Xing Zong, Guiyu Li, Shang Zheng, Haitao Zou, Hualong Yu, Shang Gao:
Heterogeneous Cross-Project Defect Prediction via Optimal Transport. IEEE Access 11: 12015-12030 (2023) - [j64]Fuchen Kong, Qi Wang, Shang Gao, Hualong Yu:
B-APFDQN: A UAV Path Planning Algorithm Based on Deep Q-Network and Artificial Potential Field. IEEE Access 11: 44051-44064 (2023) - [j63]Yan Gu, Jicong Duan, Hualong Yu, Xibei Yang, Shang Gao:
PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity. Appl. Intell. 53(22): 27844-27864 (2023) - [j62]Zhenyu Yin, Xibei Yang, Pingxin Wang, Hualong Yu, Yuhua Qian:
Ensemble selector mixed with pareto optimality to feature reduction. Appl. Soft Comput. 148: 110877 (2023) - [j61]Jing Ba, Pingxin Wang, Xibei Yang, Hualong Yu, Dongjun Yu:
Glee: A granularity filter for feature selection. Eng. Appl. Artif. Intell. 122: 106080 (2023) - [j60]Jiaqi Sun, Pingxin Wang, Hualong Yu, Xibei Yang:
A constraint score guided meta-heuristic searching to attribute reduction. J. Intell. Fuzzy Syst. 44(3): 4779-4800 (2023) - [j59]Shanlin Zhou, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning. J. King Saud Univ. Comput. Inf. Sci. 35(4): 36-49 (2023) - [j58]Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously. Neural Process. Lett. 55(4): 5245-5267 (2023) - [c19]Jiawang Liu, Ao Liu, Ke Jia, Hualong Yu, Lu Yu:
Evaluation on the generalization of coded features across neural networks of different tasks. VCIP 2023: 1-5 - [i1]Feisha Hu, Qi Wang, Haijian Shao, Shang Gao, Hualong Yu:
Anomaly Detection of UAV State Data Based on Single-class Triangular Global Alignment Kernel Extreme Learning Machine. CoRR abs/2302.09320 (2023) - 2022
- [j57]Baoquan Feng, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao:
DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift Steam. IEEE Access 10: 120578-120591 (2022) - [j56]Aimin Zhang, Hualong Yu, Zhangjun Huan, Xibei Yang, Shang Zheng, Shang Gao:
SMOTE-RkNN: A hybrid re-sampling method based on SMOTE and reverse k-nearest neighbors. Inf. Sci. 595: 70-88 (2022) - [j55]Aimin Zhang, Hualong Yu, Shanlin Zhou, Zhangjun Huan, Xibei Yang:
Instance weighted SMOTE by indirectly exploring the data distribution. Knowl. Based Syst. 249: 108919 (2022) - [j54]Yining Chen, Pingxin Wang, Xibei Yang, Hualong Yu:
Bee: towards a robust attribute reduction. Int. J. Mach. Learn. Cybern. 13(12): 3927-3962 (2022) - [j53]Hua Bai, Hualong Yu, Guang Yu, Xing Huang:
A novel emergency situation awareness machine learning approach to assess flood disaster risk based on Chinese Weibo. Neural Comput. Appl. 34(11): 8431-8446 (2022) - [j52]Hong Shi, Pingxin Wang, Xin Yang, Hualong Yu:
An Improved Mean Imputation Clustering Algorithm for Incomplete Data. Neural Process. Lett. 54(5): 3537-3550 (2022) - [j51]Jiaqi Zhang, Lu Yu, Hualong Yu:
Perception-Based Pseudo-Motion Response for 360-Degree Video Streaming. IEEE Signal Process. Lett. 29: 1973-1977 (2022) - [c18]Hualong Yu, Chao Xu, Guang Yu:
A Study on Public Sentiment of Comments from COVID-19-related Videos: Research Track on Social Network Analysis, Social Media, & Mining (CSCI-RTNA). CSCI 2022: 802-806 - 2021
- [j50]Hualong Yu, Houjuan Xie, Xibei Yang, Haitao Zou, Shang Gao:
Online sequential extreme learning machine with the increased classes. Comput. Electr. Eng. 90: 107008 (2021) - [j49]Shang Zheng, Jinjing Gai, Hualong Yu, Haitao Zou, Shang Gao:
Training data selection for imbalanced cross-project defect prediction. Comput. Electr. Eng. 94: 107370 (2021) - [j48]Wangwang Yan, Yan Chen, Jinlong Shi, Hualong Yu, Xibei Yang:
Ensemble and Quick Strategy for Searching Reduct: A Hybrid Mechanism. Inf. 12(1): 25 (2021) - [j47]Yong Li, Yanxin Sun, Jingqi Han, Hualong Yu, Chuanyu Zhang, Cuini Yu:
Pathological Examination and Differential Diagnosis of Pulmonary Ground-Glass Opacities by CT-Guided Percutaneous Needle Biopsy. J. Medical Imaging Health Informatics 11(3): 912-920 (2021) - [j46]Hua Bai, Hualong Yu, Guang Yu, Álvaro Rocha, Xing Huang:
Analysis on an Auto Increment Detection System of Chinese Disaster Weibo Text. J. Univers. Comput. Sci. 27(2): 230-252 (2021) - [j45]Yadong Cai, Shiqi Wu, Ming Zhou, Shang Gao, Hualong Yu:
Early Warning of Gas Concentration in Coal Mines Production Based on Probability Density Machine. Sensors 21(17): 5730 (2021) - [j44]Wenlu Dong, Shang Gao, Xibei Yang, Hualong Yu:
An Exploration of Online Missing Value Imputation in Non-stationary Data Stream. SN Comput. Sci. 2(1): 57 (2021) - [j43]Ruihan Cheng, Longfei Zhang, Shiqi Wu, Sen Xu, Shang Gao, Hualong Yu:
Probability Density Machine: A New Solution of Class Imbalance Learning. Sci. Program. 2021: 7555587:1-7555587:14 (2021) - 2020
- [j42]Hualong Yu, Chuanyu Zhang, Shihe Liu, Gang Jiang, Shaoke Li, Liang Zhang, Yongjie Wang, Wenjian Xu:
Clinical value of CT-guided percutaneous fine-needle aspiration biopsy for peritoneal lesions. BMC Medical Imaging 20(1): 122 (2020) - [j41]Zehua Jiang, Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Yuhua Qian:
Accelerator for supervised neighborhood based attribute reduction. Int. J. Approx. Reason. 119: 122-150 (2020) - [j40]Ke Cheng, Shang Gao, Wenlu Dong, Xibei Yang, Qi Wang, Hualong Yu:
Boosting label weighted extreme learning machine for classifying multi-label imbalanced data. Neurocomputing 403: 360-370 (2020) - [j39]Yifan He, Haitao Zou, Hualong Yu, Shang Zheng, Shang Gao:
Adaptive and efficient high-order rating distance optimization model with slack variable. Knowl. Based Syst. 205: 106228 (2020) - [j38]Jinjing Gai, Shang Zheng, Hualong Yu, Hongji Yang:
Software defect prediction based on weighted extreme learning machine. Multiagent Grid Syst. 16(1): 67-82 (2020) - [j37]Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Xiangjian Chen, Dun Liu:
Supervised information granulation strategy for attribute reduction. Int. J. Mach. Learn. Cybern. 11(9): 2149-2163 (2020) - [j36]Shang Gao, Wenlu Dong, Ke Cheng, Xibei Yang, Shang Zheng, Hualong Yu:
Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data. Neural Process. Lett. 52(3): 2151-2173 (2020) - [j35]Shang Zheng, Jinjing Gai, Hualong Yu, Haitao Zou, Shang Gao:
Software Defect Prediction Based on Fuzzy Weighted Extreme Learning Machine with Relative Density Information. Sci. Program. 2020: 8852705:1-8852705:18 (2020) - [j34]Hualong Yu, Xiaoding Gao, Lu Yu:
Crowdsourcing Based Cross Random Access Point Referencing for Video Coding. IEEE Signal Process. Lett. 27: 560-564 (2020)
2010 – 2019
- 2019
- [j33]Ke Cheng, Chen Zhang, Hualong Yu, Xibei Yang, Haitao Zou, Shang Gao:
Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data. IEEE Access 7: 170668-170681 (2019) - [j32]Xibei Yang, Shaochen Liang, Hualong Yu, Shang Gao, Yuhua Qian:
Pseudo-label neighborhood rough set: Measures and attribute reductions. Int. J. Approx. Reason. 105: 112-129 (2019) - [j31]Hualong Yu, Geoffrey I. Webb:
Adaptive online extreme learning machine by regulating forgetting factor by concept drift map. Neurocomputing 343: 141-153 (2019) - [j30]Keyu Liu, Xibei Yang, Hualong Yu, Jusheng Mi, Pingxin Wang, Xiangjian Chen:
Rough set based semi-supervised feature selection via ensemble selector. Knowl. Based Syst. 165: 282-296 (2019) - [j29]Zehua Jiang, Xibei Yang, Hualong Yu, Dun Liu, Pingxin Wang, Yuhua Qian:
Accelerator for multi-granularity attribute reduction. Knowl. Based Syst. 177: 145-158 (2019) - [j28]Hualong Yu, Dan Sun, Xiaoyan Xi, Xibei Yang, Shang Zheng, Qi Wang:
Fuzzy One-Class Extreme Auto-encoder. Neural Process. Lett. 50(1): 701-727 (2019) - [j27]Hualong Yu, Changyin Sun, Xibei Yang, Shang Zheng, Haitao Zou:
Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data. IEEE Trans. Fuzzy Syst. 27(12): 2353-2367 (2019) - [j26]Hualong Yu, Xibei Yang, Shang Zheng, Changyin Sun:
Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1088-1103 (2019) - [c17]Yifan He, Haitao Zou, Hualong Yu, Qi Wang, Shang Gao:
Diversity-Aware Recommendation by User Interest Domain Coverage Maximization. ICDM 2019: 1084-1089 - [c16]Xiaoding Gao, Jue Mao, Hualong Yu, Lu Yu:
End-To-End Convolutional Network for Video Rain Streaks Removal. ICIP 2019: 2791-2795 - [c15]Jue Mao, Hualong Yu, Xiaoding Gao, Lu Yu:
CNN-Based Bi-Prediction Utilizing Spatial Information for Video Coding. ISCAS 2019: 1-5 - [c14]Xiaoding Gao, Hualong Yu, Qichao Yuan, Xiangyu Lin, Lu Yu:
Standard Designs for Cross Random Access Point Reference in Video Coding. PCS 2019: 1-5 - [c13]Jue Mao, Hualong Yu, Xiaoding Gao, Lu Yu:
Complementary Motion Vector for Motion Prediction in Video Coding with Long-Term Reference. PCS 2019: 1-5 - 2018
- [j25]Hualong Yu, Changyin Sun, Xibei Yang, Shang Zheng, Qi Wang, Xiaoyan Xi:
LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data. IEEE Access 6: 28488-28500 (2018) - [j24]Xin Zuo, Jifeng Shen, Hualong Yu, Dan Xu, Chengshan Qian, Yongwei Shan:
Fast Pedestrian Detection Based on the Selective Window Differential Filter. Neural Process. Lett. 48(1): 403-417 (2018) - [c12]Hualong Yu, Lu Yu:
Improved DASH for Cross-Random-Access Prediction Structure in Video Coding. ISCAS 2018: 1-5 - 2017
- [j23]Xibei Yang, Suping Xu, Huili Dou, Xiaoning Song, Hualong Yu, Jingyu Yang:
Multigranulation rough set: A multiset based strategy. Int. J. Comput. Intell. Syst. 10(1): 277-292 (2017) - [j22]Xuguang Zuo, Lu Yu, Hualong Yu, Jue Mao, Yin Zhao:
Scene-library-based video coding scheme exploiting long-term temporal correlation. J. Electronic Imaging 26(4): 43026 (2017) - [j21]Suping Xu, Xibei Yang, Hualong Yu, Dongjun Yu:
一种基于邻域协同表达的分类方法 (Neighborhood Collaborative Representation Based Classification Method). 计算机科学 44(9): 234-238 (2017) - [j20]Changbao Wang, Qingwen Li, Hualong Yu:
面向类别不平衡数据的主动在线加权极限学习机算法 (Active, Online and Weighted Extreme Learning Machine Algorithm for Class Imbalance Data). 计算机科学 44(12): 221-226 (2017) - 2016
- [j19]Jifeng Shen, Xin Zuo, Wankou Yang, Hualong Yu, Guohai Liu:
Learning discriminative shape statistics distribution features for pedestrian detection. Neurocomputing 184: 66-77 (2016) - [j18]Chaoxu Mu, Changyin Sun, Aiguo Song, Hualong Yu:
Iterative GDHP-based approximate optimal tracking control for a class of discrete-time nonlinear systems. Neurocomputing 214: 775-784 (2016) - [j17]Hengrong Ju, Xibei Yang, Hualong Yu, Tongjun Li, Dong-Jun Yu, Jingyu Yang:
Cost-sensitive rough set approach. Inf. Sci. 355-356: 282-298 (2016) - [j16]Xibei Yang, Xu Yan, Suping Xu, Hualong Yu:
基于样本选择的启发式属性约简方法研究 (New Heuristic Attribute Reduction Algorithm Based on Sample Selection). 计算机科学 43(1): 40-43 (2016) - [j15]Ju Yang, Yulong Yuan, Hualong Yu:
基于蚁群优化的极限学习机选择性集成学习算法 (Selective Ensemble Learning Algorithm of Extreme Learning Machine Based on Ant Colony Optimization). 计算机科学 43(10): 266-271 (2016) - [j14]Huili Dou, Xibei Yang, Xiaoning Song, Hualong Yu, Wei-Zhi Wu, Jingyu Yang:
Decision-theoretic rough set: A multicost strategy. Knowl. Based Syst. 91: 71-83 (2016) - [j13]Hualong Yu, Changyin Sun, Xibei Yang, Wankou Yang, Jifeng Shen, Yunsong Qi:
ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data. Knowl. Based Syst. 92: 55-70 (2016) - [j12]Suping Xu, Xibei Yang, Hualong Yu, Dong-Jun Yu, Jingyu Yang, Eric C. C. Tsang:
Multi-label learning with label-specific feature reduction. Knowl. Based Syst. 104: 52-61 (2016) - [c11]Shang Zheng, Xin Zuo, Hualong Yu, Hongji Yang, Jifeng Shen:
Understanding software reengineering requirements for cloud-oriented service architecture. ICAC 2016: 48-53 - 2015
- [j11]Hualong Yu, Changyin Sun, Wankou Yang, Xibei Yang, Xin Zuo:
AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine. Neurocomputing 166: 140-150 (2015) - [j10]Xibei Yang, Yong Qi, Dong-Jun Yu, Hualong Yu, Jingyu Yang:
α-Dominance relation and rough sets in interval-valued information systems. Inf. Sci. 294: 334-347 (2015) - [j9]Hualong Yu, Chaoxu Mu, Changyin Sun, Wankou Yang, Xibei Yang, Xin Zuo:
Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data. Knowl. Based Syst. 76: 67-78 (2015) - [c10]Suping Xu, Xibei Yang, Xiaoning Song, Hualong Yu:
Prediction of protein structural classes by decreasing nearest neighbor error rate. ICMLC 2015: 7-13 - [c9]Jinhua Liu, Hualong Yu, Wankou Yang, Changyin Sun:
Combining Active Learning and Semi-Supervised Learning Based on Extreme Learning Machine for Multi-class Image Classification. IScIDE (1) 2015: 163-175 - [c8]Xin Zuo, Jifeng Shen, Hualong Yu, Yuanyuan Dan:
Haarlike Feature Revisited: Fast Human Detection Based on Multiple Channel Maps. ISNN 2015: 240-247 - [c7]Jü Yang, Hualong Yu, Xibei Yang, Xin Zuo:
Imbalanced Extreme Learning Machine Based on Probability Density Estimation. MIWAI 2015: 160-167 - 2014
- [j8]Hualong Yu, Jun Ni, Sen Xu, Bin Qin, Hengrong Jv:
Estimating harmfulness of class imbalance by scatter matrix based class separability measure. Intell. Data Anal. 18(2): 203-216 (2014) - [j7]Jingjing Song, Xibei Yang, Xiaoning Song, Hualong Yu, Jing-Yu Yang:
Hierarchies on fuzzy information granulations: A knowledge distance based lattice approach. J. Intell. Fuzzy Syst. 27(3): 1107-1117 (2014) - [j6]Xibei Yang, Yong Qi, Hualong Yu, Xiaoning Song, Jingyu Yang:
Updating multigranulation rough approximations with increasing of granular structures. Knowl. Based Syst. 64: 59-69 (2014) - [j5]Hualong Yu, Jun Ni:
An Improved Ensemble Learning Methodfor Classifying High-Dimensionaland Imbalanced Biomedicine Data. IEEE ACM Trans. Comput. Biol. Bioinform. 11(4): 657-666 (2014) - [c6]Hualong Yu, Yulong Yuan, Xibei Yang, Yuanyuan Dan:
A Dynamic Generation Approach for Ensemble of Extreme Learning Machines. ISNN 2014: 294-302 - [c5]Xibei Yang, Yong Qi, Hualong Yu, Jingyu Yang:
Want More? Pay More! RSCTC 2014: 144-151 - [c4]Jingjing Song, Xibei Yang, Yong Qi, Hualong Yu, Xiaoning Song, Jing-Yu Yang:
Characterizing Hierarchies on Covering-Based Multigranulation Spaces. RSKT 2014: 467-478 - 2013
- [j4]Hualong Yu, Jun Ni, Jing Zhao:
ACOSampling: An ant colony optimization-based undersampling method for classifying imbalanced DNA microarray data. Neurocomputing 101: 309-318 (2013) - 2010
- [j3]Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen:
A framework for microarray data-based tumor diagnostic system with improving performance incrementally. Expert Syst. Appl. 37(9): 6682-6688 (2010)
2000 – 2009
- 2009
- [j2]Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen, Jing Zhao:
A Modified Ant Colony Optimization Algorithm for Tumor Marker Gene Selection. Genom. Proteom. Bioinform. 7(4): 200-208 (2009) - 2008
- [c3]Chang-ming Zhy, Guo-Chang Gu, Haibo Liu, Jing Shen, Hualong Yu:
Segmentation of Ultrasound Image Based on Texture Feature and Graph Cut. CSSE (1) 2008: 795-798 - [c2]Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen, Changming Zhu:
A Novel Discrete Particle Swarm Optimization Algorithm for Microarray Data-Based Tumor Marker Gene Selection. CSSE (1) 2008: 1057-1060 - [c1]Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen, Changming Zhu, Jun Ni:
Incremental Tumor Diagnosis Algorithm Using New Unlabeled Microarray. IMSCCS 2008: 45-50
1990 – 1999
- 1995
- [j1]Robert L. Probert, Kassem Saleh, Hualong Yu:
Validation-directed specification of communications systems. Inf. Softw. Technol. 37(8): 403-410 (1995)
Coauthor Index
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