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- affiliation: Guangxi Normal University, Guilin, China
- affiliation: University of Technology, Sydney, Australia
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2020 – today
- 2022
[j137]Fangfang Li, Youran Shan, Xingliang Mao, Xingkai Ren, Xiyao Liu, Shichao Zhang:
Multi-task joint training model for machine reading comprehension. Neurocomputing 488: 66-77 (2022)- [j136]Jianliang Gao, Xiaoting Ying, Cong Xu, Jianxin Wang, Shichao Zhang, Zhao Li
:
Graph-Based Stock Recommendation by Time-Aware Relational Attention Network. ACM Trans. Knowl. Discov. Data 16(1): 4:1-4:21 (2022) - [j135]Xianquan Zhang, Xuelong Li, Zhenjun Tang, Shichao Zhang, Shaomin Xie:
Noise Removal in Embedded Image With Bit Approximation. IEEE Trans. Knowl. Data Eng. 34(3): 1359-1369 (2022) - [j134]Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Pengfei Zhu, Yue Gao:
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning. IEEE Trans. Knowl. Data Eng. 34(6): 3016-3028 (2022) - [j133]Guoqiu Wen, Yonghua Zhu, Linjun Chen, Shichao Zhang:
One-step spectral rotation clustering with balanced constrains. World Wide Web 25(1): 259-280 (2022) - [i7]Shichao Zhang, Jiaye Li, Wenzhen Zhang, Yongsong Qin:
Hyper-Class Representation of Data. CoRR abs/2201.13317 (2022) - [i6]Chunwei Tian, Yixuan Yuan, Shichao Zhang, Chia-Wen Lin, Wangmeng Zuo, David Zhang:
Image Super-resolution with An Enhanced Group Convolutional Neural Network. CoRR abs/2205.14548 (2022) - [i5]Shichao Zhang, Jiaye Li:
Hashing Learning with Hyper-Class Representation. CoRR abs/2206.02334 (2022) - 2021
- [j132]Shichao Zhang, Qing Xie, Yanrong Guo:
Editorial deep multi-source data analysis. Pattern Recognit. Lett. 151: 1-2 (2021) - [j131]Huawen Liu, Enhui Li, Xinwang Liu, Kaile Su, Shichao Zhang:
Anomaly Detection With Kernel Preserving Embedding. ACM Trans. Knowl. Discov. Data 15(5): 91:1-91:18 (2021) - [j130]Xiaofeng Zhu, Jianye Yang, Chengyuan Zhang, Shichao Zhang:
Efficient Utilization of Missing Data in Cost-Sensitive Learning. IEEE Trans. Knowl. Data Eng. 33(6): 2425-2436 (2021) - [c92]Shichao Zhang, Xiangwei Zheng, Mingzhe Zhang, Gengyuan Guo, Cun Ji:
A Pervasive Multi-physiological Signal-Based Emotion Classification with Shapelet Transformation and Decision Fusion. CollaborateCom (1) 2021: 628-641 - [c91]Guixian Zhang, Boyan Chen, Lijuan Wu, Kui Zhang, Shichao Zhang:
Aggregation Enhanced Graph Convolutional Network for Graph Classification. ICBK 2021: 62-69 - [c90]Lei Zhu, Chengyuan Zhang, Jiayu Song, Liangchen Liu, Shichao Zhang, Yangding Li:
Multi-Graph Based Hierarchical Semantic Fusion for Cross-Modal Representation. ICME 2021: 1-6 - [c89]Chengyuan Zhang, Zhi Zhong, Lei Zhu, Shichao Zhang, Da Cao, Jianfeng Zhang:
M2GUDA: Multi-Metrics Graph-Based Unsupervised Domain Adaptation for Cross-Modal Hashing. ICMR 2021: 674-681 - [i4]Shichao Zhang, Jiaye Li:
Z Distance Function for KNN Classification. CoRR abs/2103.09704 (2021) - 2020
- [j129]Lei Zhu, Jiayu Song, Xiaofeng Zhu, Chengyuan Zhang, Shichao Zhang, Xinpan Yuan, Yang Wang:
Adversarial Learning-Based Semantic Correlation Representation for Cross-Modal Retrieval. IEEE Multim. 27(4): 79-90 (2020) - [j128]Chengyuan Zhang, Lei Zhu, Shichao Shang, Weiren Yu:
PAC-GAN: An effective pose augmentation scheme for unsupervised cross-view person re-identification. Neurocomputing 387: 22-39 (2020) - [j127]Shichao Zhang:
Cost-sensitive KNN classification. Neurocomputing 391: 234-242 (2020) - [j126]Chengyuan Zhang, Lei Zhu, Shichao Zhang, Weiren Yu:
TDHPPIR: An Efficient Deep Hashing Based Privacy-Preserving Image Retrieval Method. Neurocomputing 406: 386-398 (2020) - [j125]Malong Tan, Shichao Zhang, Lin Wu:
Mutual kNN based spectral clustering. Neural Comput. Appl. 32(11): 6435-6442 (2020) - [j124]Jiaye Li, Shichao Zhang, Leyuan Zhang, Cong Lei, Jilian Zhang:
Unsupervised nonlinear feature selection algorithm via kernel function. Neural Comput. Appl. 32(11): 6443-6454 (2020) - [j123]Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Yonggang Li, Guangquan Lu, Yang Yang:
Sparse Graph Connectivity for Image Segmentation. ACM Trans. Knowl. Discov. Data 14(4): 46:1-46:19 (2020) - [j122]Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Wei Zheng, Yang Yang:
Self-weighted Multi-view Fuzzy Clustering. ACM Trans. Knowl. Discov. Data 14(4): 48:1-48:17 (2020) - [j121]Huawen Liu, Xuelong Li, Shichao Zhang, Qi Tian:
Adaptive Hashing With Sparse Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4318-4329 (2020) - [j120]Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu, Jiaye Li, Shichao Zhang:
Spectral clustering via half-quadratic optimization. World Wide Web 23(3): 1969-1988 (2020) - [c88]Enhui Li, Huawen Liu, Kaile Su, Shichao Zhang:
Outlier Detection via Kernel Preserving Embedding and Random Walk. ICKG 2020: 20-25 - [i3]Shichao Zhang, Jiaye Li:
KNN Classification with One-step Computation. CoRR abs/2012.06047 (2020)
2010 – 2019
- 2019
- [j119]Zhenjun Tang, Lv Chen, Xianquan Zhang, Shichao Zhang:
Robust Image Hashing with Tensor Decomposition. IEEE Trans. Knowl. Data Eng. 31(3): 549-560 (2019) - [j118]Xiaofeng Zhu, Shichao Zhang, Yonggang Li, Jilian Zhang, Lifeng Yang, Yue Fang:
Low-Rank Sparse Subspace for Spectral Clustering. IEEE Trans. Knowl. Data Eng. 31(8): 1532-1543 (2019) - [j117]Xiaofeng Zhu, Shichao Zhang, Wei He, Rongyao Hu, Cong Lei, Pengfei Zhu:
One-Step Multi-View Spectral Clustering. IEEE Trans. Knowl. Data Eng. 31(10): 2022-2034 (2019) - [c87]Miao Cheng, Weibin Yang, Yonggang Li, Shichao Zhang, Ah Chung Tsoi, Yuan Yan Tang:
Sequential Pattern Learning via Kernel Alignment. ICACI 2019: 50-55 - [i2]Chengyuan Zhang, Lei Zhu, Shichao Zhang:
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification. CoRR abs/1906.01792 (2019) - 2018
- [j116]Zhenjun Tang, Xuelong Li, Xianquan Zhang, Shichao Zhang, Yumin Dai:
Image hashing with color vector angle. Neurocomputing 308: 147-158 (2018) - [j115]Huawen Liu, Jianping Yin, Xudong Luo, Shichao Zhang:
Foreword to the special issue on recent advances on pattern recognition and artificial intelligence. Neural Comput. Appl. 29(1): 1-2 (2018) - [j114]Zhenyun Deng, Shichao Zhang, Lifeng Yang, Ming Zong, Debo Cheng:
Sparse sample self-representation for subspace clustering. Neural Comput. Appl. 29(1): 43-49 (2018) - [j113]Shichao Zhang, Yonggang Li, Debo Cheng, Zhenyun Deng, Lifeng Yang:
Efficient subspace clustering based on self-representation and grouping effect. Neural Comput. Appl. 29(1): 51-59 (2018) - [j112]Yangding Li, Cong Lei, Yue Fang, Rongyao Hu, Yonggang Li, Shichao Zhang:
Unsupervised feature selection by combining subspace learning with feature self-representation. Pattern Recognit. Lett. 109: 35-43 (2018) - [j111]Shichao Zhang, Debo Cheng, Zhenyun Deng, Ming Zong, Xuelian Deng:
A novel kNN algorithm with data-driven k parameter computation. Pattern Recognit. Lett. 109: 44-54 (2018) - [j110]Faliang Huang, Xuelong Li, Shichao Zhang, Jilian Zhang:
Harmonious Genetic Clustering. IEEE Trans. Cybern. 48(1): 199-214 (2018) - [j109]Xiaofeng Zhu, Shichao Zhang, Rongyao Hu, Yonghua Zhu, Jingkuan Song:
Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection. IEEE Trans. Knowl. Data Eng. 30(3): 517-529 (2018) - [j108]Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Ruili Wang:
Efficient kNN Classification With Different Numbers of Nearest Neighbors. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1774-1785 (2018) - [j107]Huawen Liu, Xuelong Li, Jiuyong Li, Shichao Zhang:
Efficient Outlier Detection for High-Dimensional Data. IEEE Trans. Syst. Man Cybern. Syst. 48(12): 2451-2461 (2018) - [j106]Shichao Zhang, Debo Cheng, Rongyao Hu, Zhenyun Deng:
Supervised feature selection algorithm via discriminative ridge regression. World Wide Web 21(6): 1545-1562 (2018) - [j105]Shichao Zhang:
Multiple-scale cost sensitive decision tree learning. World Wide Web 21(6): 1787-1800 (2018) - [c86]Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang:
Robust Feature Selection on Incomplete Data. IJCAI 2018: 3191-3197 - [c85]Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang:
Robust Graph Dimensionality Reduction. IJCAI 2018: 3257-3263 - [e3]Qingfeng Chen, Jia Wu, Shichao Zhang, Changan Yuan, Lynn Batten, Gang Li:
Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Nanning, China, November 9-11, 2018, Proceedings. Communications in Computer and Information Science 950, Springer 2018, ISBN 978-981-13-2906-7 [contents] - [e2]Shichao Zhang, Tie-Yan Liu, Xianxian Li, Jiafeng Guo, Chenliang Li:
Information Retrieval - 24th China Conference, CCIR 2018, Guilin, China, September 27-29, 2018, Proceedings. Lecture Notes in Computer Science 11168, Springer 2018, ISBN 978-3-030-01011-9 [contents] - 2017
- [j104]Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang:
Graph self-representation method for unsupervised feature selection. Neurocomputing 220: 130-137 (2017) - [j103]Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang:
Unsupervised feature selection for visual classification via feature-representation property. Neurocomputing 236: 5-13 (2017) - [j102]Faliang Huang, Shichao Zhang, Jilian Zhang, Ge Yu:
Multimodal learning for topic sentiment analysis in microblogging. Neurocomputing 253: 144-153 (2017) - [j101]Debo Cheng, Shichao Zhang, Xingyi Liu, Ke Sun, Ming Zong:
Feature selection by combining subspace learning with sparse representation. Multim. Syst. 23(3): 285-291 (2017) - [j100]Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang:
Low-rank unsupervised graph feature selection via feature self-representation. Multim. Tools Appl. 76(9): 12149-12164 (2017) - [j99]Shichao Zhang, Lifeng Yang, Zhenyun Deng, Debo Cheng, Yonggang Li:
Leverage triple relational structures via low-rank feature reduction for multi-output regression. Multim. Tools Appl. 76(16): 17461-17477 (2017) - [j98]Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang:
Low-rank feature selection for multi-view regression. Multim. Tools Appl. 76(16): 17479-17495 (2017) - [j97]Yonggang Li, Shichao Zhang, Debo Cheng, Wei He, Guoqiu Wen, Qing Xie:
Spectral clustering based on hypergraph and self-re-presentation. Multim. Tools Appl. 76(16): 17559-17576 (2017) - [j96]Huawen Liu, Xuelong Li, Shichao Zhang:
Learning Instance Correlation Functions for Multilabel Classification. IEEE Trans. Cybern. 47(2): 499-510 (2017) - [j95]Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Debo Cheng:
Learning k for kNN Classification. ACM Trans. Intell. Syst. Technol. 8(3): 43:1-43:19 (2017) - [j94]Faliang Huang, Xuelong Li, Shichao Zhang, Jilian Zhang, Jinhui Chen, Zhi-nian Zhai:
Overlapping Community Detection for Multimedia Social Networks. IEEE Trans. Multim. 19(8): 1881-1893 (2017) - [j93]Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Zongben Xu, Litao Yu, Can Wang:
Graph PCA Hashing for Similarity Search. IEEE Trans. Multim. 19(9): 2033-2044 (2017) - [j92]Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Chunhua Ju, Xindong Wu:
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1263-1275 (2017) - [c84]Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu:
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace. AAAI 2017: 2963-2969 - [c83]Yue Fang, Jilian Zhang, Shichao Zhang, Cong Lei, Xiaoyi Hu:
Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning. ADMA 2017: 273-286 - [c82]Shichao Zhang, Cong Lei, Yue Fang, Yangding Li, Rongyao Hu, Xiaoyi Hu:
Unsupervised Feature Selection via Local Structure Learning and Self-Representation. ICBK 2017: 297-302 - [c81]Shichao Zhang, Yue Fang, Cong Lei, Yangding Li, Rongyao Hu, Yonggang Li:
Unsupervised Spectral Feature Selection with Local Structure Learning. ICBK 2017: 303-308 - [c80]Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He:
Adaptive Hypergraph Learning for Unsupervised Feature Selection. IJCAI 2017: 3581-3587 - 2016
- [j91]Huawen Liu, Xindong Wu, Shichao Zhang:
Neighbor selection for multilabel classification. Neurocomputing 182: 187-196 (2016) - [j90]Shichao Zhang, Debo Cheng, Ming Zong, Lianli Gao:
Self-representation nearest neighbor search for classification. Neurocomputing 195: 137-142 (2016) - [j89]Zhenyun Deng, Xiaoshu Zhu, Debo Cheng, Ming Zong, Shichao Zhang:
Efficient kNN classification algorithm for big data. Neurocomputing 195: 143-148 (2016) - [j88]Xiaofeng Zhu, Xuelong Li, Shichao Zhang:
Block-Row Sparse Multiview Multilabel Learning for Image Classification. IEEE Trans. Cybern. 46(2): 450-461 (2016) - [j87]Zhenjun Tang, Xianquan Zhang, Xianxian Li, Shichao Zhang:
Robust Image Hashing With Ring Partition and Invariant Vector Distance. IEEE Trans. Inf. Forensics Secur. 11(1): 200-214 (2016) - [c79]Shichao Zhang, Lifeng Yang, Yonggang Li, Yan Luo, Xiaofeng Zhu:
Low-Rank Feature Reduction and Sample Selection for Multi-output Regression. ADMA 2016: 126-141 - [c78]Wei He, Xiaofeng Zhu, Yonggang Li, Rongyao Hu, Yonghua Zhu, Shichao Zhang:
Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints. ADMA 2016: 172-187 - [c77]Rongyao Hu, Xiaofeng Zhu, Wei He, Jilian Zhang, Shichao Zhang:
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression. ADMA 2016: 700-713 - [c76]Shichao Zhang, Yonggang Li, Debo Cheng, Zhen-Yun Deng:
Hypergraph Spectral Clustering via Sample Self-Representation. FSDM 2016: 334-340 - [i1]Shichao Zhang:
Data Partitioning View of Mining Big Data. CoRR abs/1611.09691 (2016) - 2015
- [j86]Xindong Wu, Huanhuan Chen, Gong-Qing Wu, Jun Liu, Qinghua Zheng, Xiaofeng He, Aoying Zhou, Zhong-Qiu Zhao, Bifan Wei, Yang Li, Qiping Zhang, Shichao Zhang:
Knowledge Engineering with Big Data. IEEE Intell. Syst. 30(5): 46-55 (2015) - [j85]Xiaofeng Zhu, Qing Xie, Yonghua Zhu, Xingyi Liu, Shichao Zhang:
Multi-view multi-sparsity kernel reconstruction for multi-class image classification. Neurocomputing 169: 43-49 (2015) - [j84]Huawen Liu, Zongjie Ma, Shichao Zhang, Xindong Wu:
Penalized partial least square discriminant analysis with l1 for multi-label data. Pattern Recognit. 48(5): 1724-1733 (2015) - [c75]Changqing Yin, Shichao Zhang, Shukun Liu, Shangwei Song, Guangyu Gao, Xiyuan Zhou:
The Optimization and Improvement of MapReduce in Web Data Mining. ICA3PP (1) 2015: 755-762 - 2014
- [j83]Huawen Liu, Xindong Wu, Shichao Zhang:
A New Supervised Feature Selection Method for Pattern Classification. Comput. Intell. 30(2): 342-361 (2014) - [j82]Huawen Liu, Shichao Zhang, Xindong Wu:
MLSLR: Multilabel Learning via Sparse Logistic Regression. Inf. Sci. 281: 310-320 (2014) - [j81]Zhenjun Tang, Xianquan Zhang, Shichao Zhang:
Robust Perceptual Image Hashing Based on Ring Partition and NMF. IEEE Trans. Knowl. Data Eng. 26(3): 711-724 (2014) - [j80]Faliang Huang, Shichao Zhang, Minghua He, Xindong Wu:
Clustering web documents using hierarchical representation with multi-granularity. World Wide Web 17(1): 105-126 (2014) - [c74]Zhenjun Tang, Junwei Yu, Xianquan Zhang, Shichao Zhang:
Discovery of Tampered Image with Robust Hashing. ADMA 2014: 112-122 - [c73]Shichao Zhang, Ming Zong, Ke Sun, Yue Liu, Debo Cheng:
Efficient kNN Algorithm Based on Graph Sparse Reconstruction. ADMA 2014: 356-369 - [c72]Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong:
kNN Algorithm with Data-Driven k Value. ADMA 2014: 499-512 - 2013
- [c71]Xiaofeng Zhu, Jilian Zhang, Shichao Zhang:
Mixed-Norm Regression for Visual Classification. ADMA (1) 2013: 265-276 - [c70]Jilian Zhang, Xiaofeng Zhu, Xianxian Li, Shichao Zhang:
Mining Item Popularity for Recommender Systems. ADMA (2) 2013: 372-383 - [c69]Meng Chang, Minghua He, Anikó Ekárt, Xudong Luo, Shichao Zhang:
Bi-directional double auction for financial market simulation. AAMAS 2013: 1313-1314 - [c68]Zhenxing Qin, Alan Tao Wang, Chengqi Zhang, Shichao Zhang:
Cost-Sensitive Classification with k-Nearest Neighbors. KSEM 2013: 112-131 - [c67]William Wu, Shichao Zhang:
Evaluation of Error-Sensitive Attributes. PAKDD Workshops 2013: 283-294 - [c66]Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu:
Feature Selection by Joint Graph Sparse Coding. SDM 2013: 803-811 - 2012
- [j79]Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang, Ruili Wang:
Mining bridging rules between conceptual clusters. Appl. Intell. 36(1): 108-118 (2012) - [j78]Shichao Zhang, Jilian Zhang:
Classifying Incomplete Data Using Group Difference Detection with Parimputation Approach. Int. J. Softw. Informatics 6(4): 535-552 (2012) - [j77]Tao Wang, Zhenxing Qin, Shichao Zhang, Chengqi Zhang:
Cost-sensitive classification with inadequate labeled data. Inf. Syst. 37(5): 508-516 (2012) - [j76]Shichao Zhang:
Decision tree classifiers sensitive to heterogeneous costs. J. Syst. Softw. 85(4): 771-779 (2012) - [j75]Huawen Liu, Shichao Zhang:
Noisy data elimination using mutual k-nearest neighbor for classification mining. J. Syst. Softw. 85(5): 1067-1074 (2012) - [j74]Shichao Zhang:
Nearest neighbor selection for iteratively kNN imputation. J. Syst. Softw. 85(11): 2541-2552 (2012) - [c65]Huawen Liu, Shichao Zhang, Jianmin Zhao, Jianbin Wu, Zhonglong Zheng:
A New Multi-label Learning Algorithm Using Shelly Neighbors. ADMA 2012: 214-222 - [c64]Zhenjun Tang, Yumin Dai, Xianquan Zhang, Shichao Zhang:
Perceptual Image Hashing with Histogram of Color Vector Angles. AMT 2012: 237-246 - [c63]Xianquan Zhang, Zhenjun Tang, Tao Liang, Shichao Zhang, Yingjun Zhu, Yonghai Sun:
Data Hiding Method Based on Local Image Features. AMT 2012: 247-256 - [c62]Faliang Huang, Shichao Zhang, Changan Yuan, Zhi Zhong:
Memory Performance Prediction of Web Server Applications Based on Grey System Theory. APWeb 2012: 660-668 - 2011
- [j73]Shichao Zhang:
Shell-neighbor method and its application in missing data imputation. Appl. Intell. 35(1): 123-133 (2011) - [j72]Shichao Zhang, Zhi Jin, Xiaofeng Zhu:
Missing data imputation by utilizing information within incomplete instances. J. Syst. Softw. 84(3): 452-459 (2011) - [j71]Yanchang Zhao, Jie Cao, Chengqi Zhang, Shichao Zhang:
Enhancing grid-density based clustering for high dimensional data. J. Syst. Softw. 84(9): 1524-1539 (2011) - [j70]Qingfeng Chen, Shichao Zhang, Zhi Zhong:
Dealing with inconsistent secure messages by weighting majority. Knowl. Based Syst. 24(6): 731-739 (2011) - [j69]Xiaofeng Zhu, Shichao Zhang, Zhi Jin, Zili Zhang, Zhuoming Xu:
Missing Value Estimation for Mixed-Attribute Data Sets. IEEE Trans. Knowl. Data Eng. 23(1): 110-121 (2011) - [j68]Shichao Zhang, Xindong Wu:
Fundamentals of association rules in data mining and knowledge discovery. WIREs Data Mining Knowl. Discov. 1(2): 97-116 (2011) - [j67]Shichao Zhang:
Information enhancement for data mining. WIREs Data Mining Knowl. Discov. 1(4): 284-295 (2011) - [c61]Huawen Liu, Xindong Wu, Shichao Zhang:
Feature selection using hierarchical feature clustering. CIKM 2011: 979-984 - 2010
- [j66]Shichao Zhang, Qingfeng Chen, Qiang Yang:
Acquiring knowledge from inconsistent data sources through weighting. Data Knowl. Eng. 69(8): 779-799 (2010) - [j65]Zhangyan Xu, Shichao Shang, Wenbin Qian, Wenhao Shu:
A method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers. Expert Syst. Appl. 37(3): 1920-1927 (2010) - [j64]Shichao Zhang:
Estimating Semi-Parametric Missing Values with Iterative Imputation. Int. J. Data Warehous. Min. 6(3): 1-10 (2010) - [j63]Yongsong Qin, Shichao Zhang, Chengqi Zhang:
Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis. Int. J. Data Warehous. Min. 6(4): 61-73 (2010) - [j62]Shichao Zhang, Zhi Jin, Jingli Lu:
Summary queries for frequent itemsets mining. J. Syst. Softw. 83(3): 405-411 (2010) - [j61]Tao Wang, Zhenxing Qin, Zhi Jin, Shichao Zhang:
Handling over-fitting in test cost-sensitive decision tree learning by feature selection, smoothing and pruning. J. Syst. Softw. 83(7): 1137-1147 (2010) - [j60]Shichao Zhang:
Cost-sensitive classification with respect to waiting cost. Knowl. Based Syst. 23(5): 369-378 (2010) - [c60]Shichao Zhang, Xindong Wu, Manlong Zhu:
Efficient missing data imputation for supervised learning. IEEE ICCI 2010: 672-679 - [c59]Shichao Zhang, Manlong Zhu:
Weighting imputation methods and their evaluation under shell-neighbor machine. IEEE ICCI 2010: 874-879 - [c58]