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ORCIDShichao Zhang 0001
Shichao Shang 0001
Person information
- affiliation: Central South University, Hunan, China
- affiliation: Guangxi Normal University, Guilin, China
- affiliation: University of Technology, Sydney, Australia
- affiliation (PhD 2002): Deakin University, Geelong, Australia
Other persons with the same name
- Shichao Zhang — disambiguation page
- Shichao Zhang 0002
![[0000-0002-5972-5474]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5972-5474")
— Qingdao University, College of Computer Science and Technology, Remote Sensing Information and Digital Earth Center, Qingdao, China
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Books and Theses
- 2008
[b3]Qingfeng Chen, Chengqi Zhang, Shichao Zhang:
Secure Transaction Protocol Analysis: Models and Applications. Lecture Notes in Computer Science 5111, Springer 2008, ISBN 978-3-540-85073-1- 2004
- [b2]Shichao Zhang, Chengqi Zhang, Xindong Wu:
Knowledge Discovery in Multiple Databases. Advanced Information and Knowledge Processing, Springer 2004, ISBN 978-1-4471-1050-7, pp. 1-233 - 2002
- [b1]Chengqi Zhang, Shichao Zhang:
Association Rule Mining, Models and Algorithms. Lecture Notes in Computer Science 2307, Springer 2002, ISBN 3-540-43533-6
Journal Articles
- 2024
- [j166]Jian Zhang, Ze Tao, Shichao Zhang, Zike Qiao, Kehua Guo:
Soft Hybrid Knowledge Distillation against deep neural networks. Neurocomputing 570: 127142 (2024) - [j165]Chunwei Tian, Menghua Zheng, Wangmeng Zuo, Shichao Zhang, Yanning Zhang, Chia-Wen Lin:
A cross Transformer for image denoising. Inf. Fusion 102: 102043 (2024) - [j164]Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang:
Learning fair representations via rebalancing graph structure. Inf. Process. Manag. 61(1): 103570 (2024) - [j163]Jian Zhang, Ze Tao, Kehua Guo, Haowei Li, Shichao Zhang:
Hybrid mix-up contrastive knowledge distillation. Inf. Sci. 660: 120107 (2024) - [j162]Yangding Li, Shaobin Fu, Yangyang Zeng, Hao Feng, Ruoyao Peng, Jinghao Wang, Shichao Zhang:
Centrality-based Relation aware Heterogeneous Graph Neural Network. Knowl. Based Syst. 283: 111174 (2024) - [j161]Shiyuan Li, Qingfeng Chen, Zhixian Liu, Shirui Pan, Shichao Zhang:
Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only. Knowl. Based Syst. 291: 111622 (2024) - [j160]Jiaye Li, Jian Zhang, Jilian Zhang, Shichao Zhang:
Quantum KNN Classification With K Value Selection and Neighbor Selection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1332-1345 (2024) - [j159]Ping Jiang, Xiaoheng Deng, Shaohua Wan, Huamei Qi, Shichao Zhang:
Confidence-Enhanced Mutual Knowledge for Uncertain Segmentation. IEEE Trans. Intell. Transp. Syst. 25(1): 725-737 (2024) - [j158]Fangfang Li, Zhi Liu, Junwen Duan, Xingliang Mao, Heyuan Shi, Shichao Zhang:
Exploiting Conversation-Branch-Tweet HyperGraph Structure to Detect Misinformation on Social Media. ACM Trans. Knowl. Discov. Data 18(2): 33:1-33:20 (2024) - [j157]Guixian Zhang, Shichao Zhang, Guan Yuan:
Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection. ACM Trans. Knowl. Discov. Data 18(4): 89:1-89:21 (2024) - [j156]Huawen Liu, Wenhua Zhou, Zongda Wu, Shichao Zhang, Gang Li, Xuelong Li:
Refining Codes for Locality Sensitive Hashing. IEEE Trans. Knowl. Data Eng. 36(3): 1274-1284 (2024) - [j155]Rongjiao Liang, Shichao Zhang, Wenzhen Zhang, Guixian Zhang, Jinyun Tang:
Nonlocal Hybrid Network for Long-tailed Image Classification. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 108:1-108:22 (2024) - 2023
- [j154]Qi Zhang, Jingyu Xiao, Chunwei Tian, Jerry Chun-Wei Lin, Shichao Zhang:
A robust deformed convolutional neural network (CNN) for image denoising. CAAI Trans. Intell. Technol. 8(2): 331-342 (2023) - [j153]Qi Zhang, Jingyu Xiao, Chunwei Tian, Jiayu Xu, Shichao Zhang, Chia-Wen Lin:
A parallel and serial denoising network. Expert Syst. Appl. 231: 120628 (2023) - [j152]Xingliang Mao, Youran Shan, Fangfang Li, Xiaohong Chen, Shichao Zhang:
CLSpell: Contrastive learning with phonological and visual knowledge for chinese spelling check. Neurocomputing 554: 126468 (2023) - [j151]Jinjing Shi, Wenxuan Wang, Xiaoping Lou, Shichao Zhang, Xuelong Li:
Parameterized Hamiltonian Learning With Quantum Circuit. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6086-6095 (2023) - [j150]Jinjing Shi, Yongze Tang, Yuhu Lu, Yanyan Feng, Ronghua Shi, Shichao Zhang:
Quantum Circuit Learning With Parameterized Boson Sampling. IEEE Trans. Knowl. Data Eng. 35(2): 1965-1976 (2023) - [j149]Shichao Zhang, Jiaye Li:
KNN Classification With One-Step Computation. IEEE Trans. Knowl. Data Eng. 35(3): 2711-2723 (2023) - [j148]Xiaoping Liang, Zhenjun Tang, Ziqing Huang, Xianquan Zhang, Shichao Zhang:
Efficient Hashing Method Using 2D-2D PCA for Image Copy Detection. IEEE Trans. Knowl. Data Eng. 35(4): 3765-3778 (2023) - [j147]Jinjing Shi, Zhenhuan Li, Wei Lai, Fangfang Li, Ronghua Shi, Yanyan Feng, Shichao Zhang:
Two End-to-End Quantum-Inspired Deep Neural Networks for Text Classification. IEEE Trans. Knowl. Data Eng. 35(4): 4335-4345 (2023) - [j146]Ping Jiang, Xiaoheng Deng, Leilei Wang, Zailiang Chen, Shichao Zhang:
Hypergraph Representation for Detecting 3D Objects From Noisy Point Clouds. IEEE Trans. Knowl. Data Eng. 35(7): 7016-7029 (2023) - [j145]Shichao Zhang, Jiaye Li, Yangding Li:
Reachable Distance Function for KNN Classification. IEEE Trans. Knowl. Data Eng. 35(7): 7382-7396 (2023) - [j144]Hao Yu, Chengyuan Zhang, Jiaye Li, Shichao Zhang:
Robust Sparse Weighted Classification for Crowdsourcing. IEEE Trans. Knowl. Data Eng. 35(8): 8490-8502 (2023) - [j143]Huawen Liu, Xiaodan Xu, Enhui Li, Shichao Zhang, Xuelong Li:
Anomaly Detection With Representative Neighbors. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2831-2841 (2023) - [j142]Guixian Zhang, Debo Cheng, Shichao Zhang:
FPGNN: Fair path graph neural network for mitigating discrimination. World Wide Web (WWW) 26(5): 3119-3136 (2023) - 2022
- [j141]Lei Zhu, Chengyuan Zhang, Jiayu Song, Shichao Zhang, Chunwei Tian, Xinghui Zhu:
Deep Multigraph Hierarchical Enhanced Semantic Representation for Cross-Modal Retrieval. IEEE Multim. 29(3): 17-26 (2022) - [j140]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) - [j139]Shichao Zhang, Jiaye Li, Wenzhen Zhang, Yongsong Qin:
Hyper-class representation of data. Neurocomputing 503: 200-218 (2022) - [j138]Wenzhen Zhang, Guangquan Lu, Shichao Zhang, Yonggang Li:
Self-paced hybrid dilated convolutional neural networks. Multim. Tools Appl. 81(24): 34169-34181 (2022) - [j137]Ping Cao, Fangxin Xie, Shichao Zhang, Zuping Zhang, Jianfeng Zhang:
MSANet: Multi-scale attention networks for image classification. Multim. Tools Appl. 81(24): 34325-34344 (2022) - [j136]Chunwei Tian, Yixuan Yuan, Shichao Zhang, Chia-Wen Lin, Wangmeng Zuo, David Zhang:
Image super-resolution with an enhanced group convolutional neural network. Neural Networks 153: 373-385 (2022) - [j135]Qin Li, Jia Wu, Junyu Quan, Jinjing Shi, Shichao Zhang:
Efficient Quantum Blockchain With a Consensus Mechanism QDPoS. IEEE Trans. Inf. Forensics Secur. 17: 3264-3276 (2022) - [j134]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) - [j133]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) - [j132]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) - [j131]Shichao Zhang:
Challenges in KNN Classification. IEEE Trans. Knowl. Data Eng. 34(10): 4663-4675 (2022) - [j130]Faliang Huang, Xuelong Li, Changan Yuan, Shichao Zhang, Jilian Zhang, Shaojie Qiao:
Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4332-4345 (2022) - [j129]Guoqiu Wen, Yonghua Zhu, Linjun Chen, Shichao Zhang:
One-step spectral rotation clustering with balanced constrains. World Wide Web 25(1): 259-280 (2022) - 2021
- [j128]Shichao Zhang, Qing Xie, Yanrong Guo:
Editorial deep multi-source data analysis. Pattern Recognit. Lett. 151: 1-2 (2021) - [j127]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) - [j126]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) - [j125]Chengyuan Zhang, Jiayu Song, Xiaofeng Zhu, Lei Zhu, Shichao Zhang:
HCMSL: Hybrid Cross-modal Similarity Learning for Cross-modal Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 2:1-2:22 (2021) - 2020
- [j124]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) - [j123]Chengyuan Zhang, Lei Zhu, Shichao Zhang, Weiren Yu:
PAC-GAN: An effective pose augmentation scheme for unsupervised cross-view person re-identification. Neurocomputing 387: 22-39 (2020) - [j122]Shichao Zhang:
Cost-sensitive KNN classification. Neurocomputing 391: 234-242 (2020) - [j121]Chengyuan Zhang, Lei Zhu, Shichao Zhang, Weiren Yu:
TDHPPIR: An Efficient Deep Hashing Based Privacy-Preserving Image Retrieval Method. Neurocomputing 406: 386-398 (2020) - [j120]Malong Tan, Shichao Zhang, Lin Wu:
Mutual kNN based spectral clustering. Neural Comput. Appl. 32(11): 6435-6442 (2020) - [j119]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) - [j118]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) - [j117]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) - [j116]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) - [j115]Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu, Jiaye Li, Shichao Zhang:
Spectral clustering via half-quadratic optimization. World Wide Web 23(3): 1969-1988 (2020) - 2019
- [j114]Zhenjun Tang, Lv Chen, Xianquan Zhang, Shichao Zhang:
Robust Image Hashing with Tensor Decomposition. IEEE Trans. Knowl. Data Eng. 31(3): 549-560 (2019) - [j113]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) - [j112]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) - 2018
- [j111]Zhenjun Tang, Xuelong Li, Xianquan Zhang, Shichao Zhang, Yumin Dai:
Image hashing with color vector angle. Neurocomputing 308: 147-158 (2018) - [j110]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) - [j109]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) - [j108]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) - [j107]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) - [j106]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) - [j105]Faliang Huang, Xuelong Li, Shichao Zhang, Jilian Zhang:
Harmonious Genetic Clustering. IEEE Trans. Cybern. 48(1): 199-214 (2018) - [j104]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) - [j103]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) - [j102]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) - [j101]Shichao Zhang, Debo Cheng, Rongyao Hu, Zhenyun Deng:
Supervised feature selection algorithm via discriminative ridge regression. World Wide Web 21(6): 1545-1562 (2018) - [j100]Shichao Zhang:
Multiple-scale cost sensitive decision tree learning. World Wide Web 21(6): 1787-1800 (2018) - 2017
- [j99]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) - [j98]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) - [j97]Faliang Huang, Shichao Zhang, Jilian Zhang, Ge Yu:
Multimodal learning for topic sentiment analysis in microblogging. Neurocomputing 253: 144-153 (2017) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]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) - [j91]Huawen Liu, Xuelong Li, Shichao Zhang:
Learning Instance Correlation Functions for Multilabel Classification. IEEE Trans. Cybern. 47(2): 499-510 (2017) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - 2016
- [j86]Huawen Liu, Xindong Wu, Shichao Zhang:
Neighbor selection for multilabel classification. Neurocomputing 182: 187-196 (2016) - [j85]Shichao Zhang, Debo Cheng, Ming Zong, Lianli Gao:
Self-representation nearest neighbor search for classification. Neurocomputing 195: 137-142 (2016) - [j84]Zhenyun Deng, Xiaoshu Zhu, Debo Cheng, Ming Zong, Shichao Zhang:
Efficient kNN classification algorithm for big data. Neurocomputing 195: 143-148 (2016) - [j83]Xiaofeng Zhu, Xuelong Li, Shichao Zhang:
Block-Row Sparse Multiview Multilabel Learning for Image Classification. IEEE Trans. Cybern. 46(2): 450-461 (2016) - [j82]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) - 2015
- [j81]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) - [j80]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) - [j79]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) - 2014
- [j78]Huawen Liu, Xindong Wu, Shichao Zhang:
A New Supervised Feature Selection Method for Pattern Classification. Comput. Intell. 30(2): 342-361 (2014) - [j77]Huawen Liu, Shichao Zhang, Xindong Wu:
MLSLR: Multilabel Learning via Sparse Logistic Regression. Inf. Sci. 281: 310-320 (2014) - [j76]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) - [j75]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) - 2012
- [j74]Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang, Ruili Wang:
Mining bridging rules between conceptual clusters. Appl. Intell. 36(1): 108-118 (2012) - [j73]Shichao Zhang, Jilian Zhang:
Classifying Incomplete Data Using Group Difference Detection with Parimputation Approach. Int. J. Softw. Informatics 6(4): 535-552 (2012) - [j72]Tao Wang, Zhenxing Qin, Shichao Zhang, Chengqi Zhang:
Cost-sensitive classification with inadequate labeled data. Inf. Syst. 37(5): 508-516 (2012) - [j71]Shichao Zhang:
Decision tree classifiers sensitive to heterogeneous costs. J. Syst. Softw. 85(4): 771-779 (2012) - [j70]Huawen Liu, Shichao Zhang:
Noisy data elimination using mutual k-nearest neighbor for classification mining. J. Syst. Softw. 85(5): 1067-1074 (2012) - [j69]Shichao Zhang:
Nearest neighbor selection for iteratively kNN imputation. J. Syst. Softw. 85(11): 2541-2552 (2012) - 2011
- [j68]Shichao Zhang:
Shell-neighbor method and its application in missing data imputation. Appl. Intell. 35(1): 123-133 (2011) - [j67]Shichao Zhang, Zhi Jin, Xiaofeng Zhu:
Missing data imputation by utilizing information within incomplete instances. J. Syst. Softw. 84(3): 452-459 (2011) - [j66]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) - [j65]Qingfeng Chen, Shichao Zhang, Zhi Zhong:
Dealing with inconsistent secure messages by weighting majority. Knowl. Based Syst. 24(6): 731-739 (2011) - [j64]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) - [j63]Shichao Zhang, Xindong Wu:
Fundamentals of association rules in data mining and knowledge discovery. WIREs Data Mining Knowl. Discov. 1(2): 97-116 (2011) - [j62]Shichao Zhang:
Information enhancement for data mining. WIREs Data Mining Knowl. Discov. 1(4): 284-295 (2011) - 2010
- [j61]Shichao Zhang, Qingfeng Chen, Qiang Yang:
Acquiring knowledge from inconsistent data sources through weighting. Data Knowl. Eng. 69(8): 779-799 (2010) - [j60]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) - [j59]Shichao Zhang:
Estimating Semi-Parametric Missing Values with Iterative Imputation. Int. J. Data Warehous. Min. 6(3): 1-10 (2010) - [j58]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) - [j57]Shichao Zhang, Zhi Jin, Jingli Lu:
Summary queries for frequent itemsets mining. J. Syst. Softw. 83(3): 405-411 (2010) - [j56]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) - [j55]Shichao Zhang:
Cost-sensitive classification with respect to waiting cost. Knowl. Based Syst. 23(5): 369-378 (2010) - 2009
- [j54]Xiaowei Yan, Chengqi Zhang, Shichao Zhang:
Confidence Metrics for Association Rule Mining. Appl. Artif. Intell. 23(8): 713-737 (2009) - [j53]Shichao Zhang, Rifeng Wang, Zhi Jin:
Strategies for complex data cube queries. Appl. Intell. 31(3): 332-346 (2009) - [j52]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases. Expert Syst. Appl. 36(2): 2794-2804 (2009) - [j51]Xiaowei Yan, Chengqi Zhang, Shichao Zhang:
Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support. Expert Syst. Appl. 36(2): 3066-3076 (2009) - [j50]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Estimating confidence intervals for structural differences between contrast groups with missing data. Expert Syst. Appl. 36(3): 6431-6438 (2009) - [j49]Shichao Zhang, Feng Chen, Zhi Jin, Ruili Wang:
Mining class-bridge rules based on rough sets. Expert Syst. Appl. 36(3): 6453-6460 (2009) - [j48]Shichao Zhang, Xiaofang You, Zhi Jin, Xindong Wu:
Mining globally interesting patterns from multiple databases using kernel estimation. Expert Syst. Appl. 36(8): 10863-10869 (2009) - [j47]Shichao Zhang, Jilian Zhang, Zhi Jin:
A decremental algorithm of frequent itemset maintenance for mining updated databases. Expert Syst. Appl. 36(8): 10890-10895 (2009) - [j46]Shichao Zhang, Zhi Jin, Xiaofeng Zhu, Jilian Zhang:
Missing Data Analysis: A Kernel-Based Multi-Imputation Approach. Trans. Comput. Sci. 3: 122-142 (2009) - 2008
- [j45]Shichao Zhang:
Parimputation: From Imputation and Null-Imputation to Partially Imputation. IEEE Intell. Informatics Bull. 9(1): 32-38 (2008) - [j44]Qingfeng Chen, Shichao Zhang, Yi-Ping Phoebe Chen:
Rule-based dependency models for security protocol analysis. Integr. Comput. Aided Eng. 15(4): 369-380 (2008) - [j43]Shichao Zhang, Zifang Huang, Jilian Zhang, Xiaofeng Zhu:
Mining follow-up correlation patterns from time-related databases. Knowl. Inf. Syst. 14(1): 81-100 (2008) - [j42]Shichao Zhang, Xindong Wu, Chengqi Zhang, Jingli Lu:
Computing the minimum-support for mining frequent patterns. Knowl. Inf. Syst. 15(2): 233-257 (2008) - [j41]Yongsong Qin, Shichao Zhang:
Empirical likelihood confidence intervals for differences between two datasets with missing data. Pattern Recognit. Lett. 29(6): 803-812 (2008) - [j40]Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang:
Missing Value Imputation Based on Data Clustering. Trans. Comput. Sci. 1: 128-138 (2008) - [j39]Shichao Zhang:
Detecting Differences Between Contrast Groups. IEEE Trans. Inf. Technol. Biomed. 12(6): 739-745 (2008) - 2007
- [j38]Xiaowei Yan, Shichao Zhang, Chengqi Zhang:
On Data Structures for Association Rule Discovery. Appl. Artif. Intell. 21(2): 57-79 (2007) - [j37]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Semi-parametric optimization for missing data imputation. Appl. Intell. 27(1): 79-88 (2007) - [j36]Shichao Zhang, Jilian Zhang, Chengqi Zhang:
EDUA: An efficient algorithm for dynamic database mining. Inf. Sci. 177(13): 2756-2767 (2007) - [j35]Xingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang:
Editorial: Special issue on mining low-quality data. Knowl. Inf. Syst. 11(2): 131-136 (2007) - 2006
- [j34]Shichao Zhang, Mohammed Javeed Zaki:
Mining Multiple Data Sources: Local Pattern Analysis. Data Min. Knowl. Discov. 12(2-3): 121-125 (2006) - [j33]Kaile Su, Huijing Huang, Xindong Wu, Shichao Zhang:
A logical framework for identifying quality knowledge from different data sources. Decis. Support Syst. 42(3): 1673-1683 (2006) - [j32]Yanchang Zhao, Shichao Zhang:
Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis. IEEE Trans. Knowl. Data Eng. 18(2): 231-244 (2006) - 2005
- [j31]Xiaowei Yan, Chengqi Zhang, Shichao Zhang:
Armga: Identifying Interesting Association Rules with Genetic Algorithms. Appl. Artif. Intell. 19(7): 677-689 (2005) - [j30]Kai-Yuan Cai, Yunfei Yin, Shichao Zhang:
A Partial-Repeatability Approach to Data Mining. IEEE Intell. Informatics Bull. 5(1): 26-34 (2005) - [j29]Jeffrey Xu Yu, Yuming Ou, Chengqi Zhang, Shichao Zhang:
Identifying Interesting Customers through Web Log Classification. IEEE Intell. Syst. 20(3): 55-59 (2005) - [j28]Xindong Wu, Chengqi Zhang, Shichao Zhang:
Database classification for multi-database mining. Inf. Syst. 30(1): 71-88 (2005) - [j27]Qingfeng Chen, Chengqi Zhang, Shichao Zhang:
ENDL: A Logical Framework for Verifying Secure Transaction Protocols. Knowl. Inf. Syst. 7(1): 84-109 (2005) - [j26]Shichao Zhang, Zhenxing Qin, Charles X. Ling, Shengli Sheng:
"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees. IEEE Trans. Knowl. Data Eng. 17(12): 1689-1693 (2005) - 2004
- [j25]Shichao Zhang, Chengqi Zhang, Jeffrey Xu Yu:
Mining Dependent Patterns In Probabilistic Databases. Cybern. Syst. 35(4): 399-424 (2004) - [j24]Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Zhang:
Identifying Global Exceptional Patterns in Multi-database Mining. IEEE Intell. Informatics Bull. 3(1): 19-24 (2004) - [j23]Shichao Zhang, Chengqi Zhang, Qiang Yang:
Guest Editors' Introduction: Information Enhancement for Data Mining. IEEE Intell. Syst. 19(2): 12-13 (2004) - [j22]Xiaowei Yan, Chengqi Zhang, Shichao Zhang:
Identifying Software Component Association With Genetic Algorithm. Int. J. Softw. Eng. Knowl. Eng. 14(4): 441-447 (2004) - [j21]Shichao Zhang, Jingli Lu, Chengqi Zhang:
A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules. Inf. Sci. 164(1-4): 1-16 (2004) - [j20]Shichao Zhang, Chengqi Zhang, Jeffrey Xu Yu:
An efficient strategy for mining exceptions in multi-databases . Inf. Sci. 165(1-2): 1-20 (2004) - [j19]Xindong Wu, Chengqi Zhang, Shichao Zhang:
Efficient mining of both positive and negative association rules. ACM Trans. Inf. Syst. 22(3): 381-405 (2004) - 2003
- [j18]Chengqi Zhang, Shichao Zhang, Zili Zhang:
Temporal Constraint Satisfaction in Matrix Method. Appl. Artif. Intell. 17(2): 135-154 (2003) - [j17]Shichao Zhang, Chengqi Zhang, Qiang Yang:
Data Preparation for Data Mining. Appl. Artif. Intell. 17(5-6): 375-381 (2003) - [j16]Zili Zhang, Chengqi Zhang, Shichao Zhang:
An Agent-Based Hybrid Framework for Database Mining. Appl. Artif. Intell. 17(5-6): 383-398 (2003) - [j15]Yuefeng Li, Chengqi Zhang, Shichao Zhang:
Cooperative Strategy for Web Data Mining and Cleaning. Appl. Artif. Intell. 17(5-6): 443-460 (2003) - [j14]Xiaowei Yan, Chengqi Zhang, Shichao Zhang:
Toward Databases Mining: Pre-Processing Collected Data. Appl. Artif. Intell. 17(5-6): 545-561 (2003) - [j13]Shichao Zhang, Chengqi Zhang:
A Probability Data Model and its Semantics. J. Res. Pract. Inf. Technol. 35(4): 237-256 (2003) - [j12]Shichao Zhang, Chengqi Zhang:
Discovering Associations in Very Large Databases by Approximating. Acta Cybern. 16(1): 155-177 (2003) - [j11]Chengqi Zhang, Shichao Zhang, Geoffrey I. Webb:
Identifying Approximate Itemsets of Interest in Large Databases. Appl. Intell. 18(1): 91-104 (2003) - [j10]Shichao Zhang, Xindong Wu, Chengqi Zhang:
Multi-Database Mining. IEEE Intell. Informatics Bull. 2(1): 5-13 (2003) - [j9]Shichao Zhang, Chengqi Zhang, Xiaowei Yan:
Post-mining: maintenance of association rules by weighting. Inf. Syst. 28(7): 691-707 (2003) - [j8]Xindong Wu, Shichao Zhang:
Synthesizing High-Frequency Rules from Different Data Sources. IEEE Trans. Knowl. Data Eng. 15(2): 353-367 (2003) - 2002
- [j7]Shichao Zhang, Chengqi Zhang:
Propagating Temporal Relations of Intervals by Matrix. Appl. Artif. Intell. 16(1): 1-27 (2002) - [j6]Shichao Zhang, Chengqi Zhang:
Discovering Causality in Large Databases. Appl. Artif. Intell. 16(5): 333-358 (2002) - [j5]Shichao Zhang, Chengqi Zhang:
Anytime mining for multiuser applications. IEEE Trans. Syst. Man Cybern. Part A 32(4): 515-521 (2002) - [j4]Shichao Zhang, Chengqi Zhang:
Encoding probability propagation in belief networks. IEEE Trans. Syst. Man Cybern. Part A 32(4): 526-531 (2002) - 2001
- [j3]Shichao Zhang, Xindong Wu:
Large Scale Data Mining Based on Data Partitioning. Appl. Artif. Intell. 15(2): 129-139 (2001) - [j2]Shichao Zhang, Chengqi Zhang:
A model for compressing probabilities in belief networks. Informatica (Slovenia) 25(3) (2001) - 1999
- [j1]Shichao Zhang, Chengqi Zhang:
IMC: A Method for Interval Calculus in Matrix. Knowl. Inf. Syst. 1(2): 257-268 (1999)
Conference and Workshop Papers
- 2023
- [c100]Mengqi Jiang, Shichao Zhang, Debo Cheng, Leyuan Zhang, Guixian Zhang:
Multi-head Similarity Feature Representation and Filtration for Image-Text Matching. ADMA (2) 2023: 629-643 - [c99]Zhirong Huang, Shichao Zhang, Debo Cheng, Rongjiao Liang, Mengqi Jiang:
Multi-branch Residual Fusion Network for Imbalanced Visual Regression. APWeb-WAIM (1) 2023: 392-406 - [c98]Wei Huang, Shichao Zhang:
Addressing Coupled Constrained Reinforcement Learning via Interative Iteration Design. ICA3PP (3) 2023: 1-20 - [c97]Ping Jiang, Xiaoheng Deng, Shichao Zhang:
Decoupled Visual Causality for Robust Detection. ICASSP 2023: 1-5 - [c96]Jiaye Li, Hang Xu, Hao Yu, Weixin Li, Shichao Zhang:
Anti-Noise Muiti-View Feature Selection With Sample Constraints. ICDM 2023: 259-268 - [c95]Jing Chen, Debo Cheng, Jiacheng Jiang, Zhongyi Yu, Shichao Zhang:
SEM-FCNET: Semantic Feature Enhancement and Fully Convolutional Network Model for Remote Sensing Object Detection. ICIP 2023: 855-859 - [c94]Zhongyi Yu, Debo Cheng, Wenzhen Zhang, Jing Chen, Shichao Zhang:
MC-Net: Multi-Scale Feature Fusion and Cross-Level Information Interaction Network for Traffic Sign Detection. ICTAI 2023: 841-848 - [c93]Penghui Xi, Debo Cheng, Zhenyun Deng, Guixian Zhang, Shichao Zhang:
LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection. ICTAI 2023: 997-1001 - [c92]Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu:
Contrastive Sampling Chains in Diffusion Models. NeurIPS 2023 - 2022
- [c91]Xiaojing Du, Qingfeng Chen, Debo Cheng, Qian Huang, Junyue Cao, Zhenyun Deng, Shichao Zhang:
Stable Causal Feature Selection based on Direct Causal Effect Estimation. HPCC/DSS/SmartCity/DependSys 2022: 1593-1600 - [c90]Rongjiao Liang, Guixian Zhang, Kui Zhang, Zhi Lei, Shichao Zhang:
Bilateral-Branch Network for Imbalanced Visual Regression. ICTAI 2022: 140-147 - [c89]Guixian Zhang, Rongjiao Liang, Zhongyi Yu, Shichao Zhang:
Rumour Detection on Social Media with Long-Tail Strategy. IJCNN 2022: 1-8 - [c88]Lei Zhu, Liewu Cai, Jiayu Song, Xinghui Zhu, Chengyuan Zhang, Shichao Zhang:
MSSPQ: Multiple Semantic Structure-Preserving Quantization for Cross-Modal Retrieval. ICMR 2022: 631-638 - 2021
- [c87]Guixian Zhang, Boyan Chen, Lijuan Wu, Kui Zhang, Shichao Zhang:
Aggregation Enhanced Graph Convolutional Network for Graph Classification. ICBK 2021: 62-69 - [c86]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 - [c85]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 - 2020
- [c84]Enhui Li, Huawen Liu, Kaile Su, Shichao Zhang:
Outlier Detection via Kernel Preserving Embedding and Random Walk. ICKG 2020: 20-25 - 2019
- [c83]Miao Cheng, Weibin Yang, Yonggang Li, Shichao Zhang, Ah Chung Tsoi, Yuan Yan Tang:
Sequential Pattern Learning via Kernel Alignment. ICACI 2019: 50-55 - 2018
- [c82]Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang:
Robust Feature Selection on Incomplete Data. IJCAI 2018: 3191-3197 - [c81]Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang:
Robust Graph Dimensionality Reduction. IJCAI 2018: 3257-3263 - 2017
- [c80]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 - [c79]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 - [c78]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 - [c77]Shichao Zhang, Yue Fang, Cong Lei, Yangding Li, Rongyao Hu, Yonggang Li:
Unsupervised Spectral Feature Selection with Local Structure Learning. ICBK 2017: 303-308 - [c76]Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He:
Adaptive Hypergraph Learning for Unsupervised Feature Selection. IJCAI 2017: 3581-3587 - 2016
- [c75]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 - [c74]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 - [c73]Rongyao Hu, Xiaofeng Zhu, Wei He, Jilian Zhang, Shichao Zhang:
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression. ADMA 2016: 700-713 - [c72]Shichao Zhang, Yonggang Li, Debo Cheng, Zhen-Yun Deng:
Hypergraph Spectral Clustering via Sample Self-Representation. FSDM 2016: 334-340 - 2014
- [c71]Zhenjun Tang, Junwei Yu, Xianquan Zhang, Shichao Zhang:
Discovery of Tampered Image with Robust Hashing. ADMA 2014: 112-122 - [c70]Shichao Zhang, Ming Zong, Ke Sun, Yue Liu, Debo Cheng:
Efficient kNN Algorithm Based on Graph Sparse Reconstruction. ADMA 2014: 356-369 - [c69]Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong:
kNN Algorithm with Data-Driven k Value. ADMA 2014: 499-512 - 2013
- [c68]Xiaofeng Zhu, Jilian Zhang, Shichao Zhang:
Mixed-Norm Regression for Visual Classification. ADMA (1) 2013: 265-276 - [c67]Jilian Zhang, Xiaofeng Zhu, Xianxian Li, Shichao Zhang:
Mining Item Popularity for Recommender Systems. ADMA (2) 2013: 372-383 - [c66]Meng Chang, Minghua He, Anikó Ekárt, Xudong Luo, Shichao Zhang:
Bi-directional double auction for financial market simulation. AAMAS 2013: 1313-1314 - [c65]Zhenxing Qin, Alan Tao Wang, Chengqi Zhang, Shichao Zhang:
Cost-Sensitive Classification with k-Nearest Neighbors. KSEM 2013: 112-131 - [c64]William Wu, Shichao Zhang:
Evaluation of Error-Sensitive Attributes. PAKDD Workshops 2013: 283-294 - [c63]Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu:
Feature Selection by Joint Graph Sparse Coding. SDM 2013: 803-811 - 2012
- [c62]Huawen Liu, Shichao Zhang, Jianmin Zhao, Jianbin Wu, Zhonglong Zheng:
A New Multi-label Learning Algorithm Using Shelly Neighbors. ADMA 2012: 214-222 - [c61]Zhenjun Tang, Yumin Dai, Xianquan Zhang, Shichao Zhang:
Perceptual Image Hashing with Histogram of Color Vector Angles. AMT 2012: 237-246 - [c60]Xianquan Zhang, Zhenjun Tang, Tao Liang, Shichao Zhang, Yingjun Zhu, Yonghai Sun:
Data Hiding Method Based on Local Image Features. AMT 2012: 247-256 - [c59]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
- [c58]Huawen Liu, Xindong Wu, Shichao Zhang:
Feature selection using hierarchical feature clustering. CIKM 2011: 979-984 - 2010
- [c57]Shichao Zhang, Xindong Wu, Manlong Zhu:
Efficient missing data imputation for supervised learning. IEEE ICCI 2010: 672-679 - [c56]Shichao Zhang, Manlong Zhu:
Weighting imputation methods and their evaluation under shell-neighbor machine. IEEE ICCI 2010: 874-879 - [c55]Zhenxing Qin, Chengqi Zhang, Tao Wang, Shichao Zhang:
Cost Sensitive Classification in Data Mining. ADMA (1) 2010: 1-11 - [c54]Dingrong Yuan, Shichao Zhang:
Web User Browse Behavior Characteristic Analysis Based on a BC Tree. AMT 2010: 522-529 - [c53]Huawen Liu, Shichao Zhang, Jianming Zhao, Xiangfu Zhao, Yuchang Mo:
A New Classification Algorithm Using Mutual Nearest Neighbors. GCC 2010: 52-57 - 2008
- [c52]Zhenxing Qin, Shichao Zhang, Li Liu, Tao Wang:
Cost-sensitive semi-supervised classification using CS-EM. CIT 2008: 131-136 - [c51]Shichao Zhang, Zhi Jin, Xiaofeng Zhu:
NIIA: Nonparametric Iterative Imputation Algorithm. PRICAI 2008: 544-555 - 2007
- [c50]Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang:
Measuring the Uncertainty of Differences for Contrasting Groups. AAAI 2007: 1920-1921 - [c49]Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang:
Cost-Sensitive Imputing Missing Values with Ordering. AAAI 2007: 1922-1923 - [c48]Qingfeng Chen, Shichao Zhang, Yi-Ping Phoebe Chen:
Identifying Dependency Between Secure Messages for Protocol Analysis. KSEM 2007: 30-38 - [c47]Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Cost-Time Sensitive Decision Tree with Missing Values. KSEM 2007: 447-459 - [c46]Chengqi Zhang, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang:
GBKII: An Imputation Method for Missing Values. PAKDD 2007: 1080-1087 - [c45]Zhangyan Xu, Chengqi Zhang, Shichao Zhang, Wei Song, Bingru Yang:
Efficient Attribute Reduction Based on Discernibility Matrix. RSKT 2007: 13-21 - [c44]Chun Liu, Zheng Zheng, Kai-Yuan Cai, Shichao Zhang:
Distributed Frequent Closed Itemsets Mining. SITIS 2007: 43-50 - 2006
- [c43]Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang:
Cost-Sensitive Test Strategies. AAAI 2006: 482-487 - [c42]Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Kernel-Based Multi-Imputation for Missing Data. AMT 2006: 106-111 - [c41]Yanchang Zhao, Chengqi Zhang, Shichao Zhang:
Efficient Frequent Itemsets Mining by Sampling. AMT 2006: 112-117 - [c40]Zhenxing Qin, Shichao Zhang, Chengqi Zhang:
Missing or absent? A Question in Cost-sensitive Decision Tree. AMT 2006: 118-125 - [c39]Yanchang Zhao, Chengqi Zhang, Shichao Zhang, Lianwei Zhao:
Adapting K-Means Algorithm for Discovering Clusters in Subspaces. APWeb 2006: 53-62 - [c38]Faliang Huang, Shichao Zhang:
Clustering Web Documents Based on Knowledge Granularity. APWeb 2006: 85-96 - [c37]Qingfeng Chen, Yi-Ping Phoebe Chen, Shichao Zhang, Chengqi Zhang:
Detecting Collusion Attacks in Security Protocols. APWeb 2006: 297-306 - [c36]Yanchang Zhao, Chengqi Zhang, Shichao Zhang:
Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data. Australian Conference on Artificial Intelligence 2006: 1048-1053 - [c35]Huijing Huang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Shichao Zhang:
Difference Detection Between Two Contrast Sets. DaWaK 2006: 481-490 - [c34]Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Zifang Huang:
Identifying Follow-Correlation Itemset-Pairs. ICDM 2006: 765-774 - [c33]Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang:
Identifying bridging rules between conceptual clusters. KDD 2006: 815-820 - [c32]Shichao Zhang, Rifeng Wang, Yanping Guo:
Efficient Computation of Multi-feature Data Cubes. KSEM 2006: 612-624 - [c31]Shichao Zhang, Jeffrey Xu Yu, Jingli Lu, Chengqi Zhang:
Is Frequency Enough for Decision Makers to Make Decisions?. PAKDD 2006: 499-503 - [c30]Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Optimized Parameters for Missing Data Imputation. PRICAI 2006: 1010-1016 - [c29]Zhuoming Xu, Shichao Zhang, Yisheng Dong:
Mapping between Relational Database Schema and OWL Ontology for Deep Annotation. Web Intelligence 2006: 548-552 - 2005
- [c28]Chengqi Zhang, Shichao Zhang:
In-Depth Data Mining and Its Application in Stock Market. ADMA 2005: 13 - [c27]Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang:
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases. DaWaK 2005: 305-314 - [c26]Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang, Shichao Zhang:
A Framework for Merging Inconsistent Beliefs in Security Protocol Analysis. DEEC 2005: 119-124 - [c25]Zhenxing Qin, Chengqi Zhang, Xuehui Xie, Shichao Zhang:
Dynamic Test-Sensitive Decision Trees with Multiple Cost Scales. FSKD (1) 2005: 402-405 - [c24]Yanchang Zhao, Chengqi Zhang, Shichao Zhang:
A Recent-Biased Dimension Reduction Technique for Time Series Data. PAKDD 2005: 751-757 - 2004
- [c23]Qingfeng Chen, Chengqi Zhang, Shichao Zhang:
A Verification Model for Electronic Transaction Protocols. APWeb 2004: 824-833 - [c22]Zhenxing Qin, Shichao Zhang, Chengqi Zhang:
Cost-Sensitive Decision Trees with Multiple Cost Scales. Australian Conference on Artificial Intelligence 2004: 380-390 - [c21]Yanchang Zhao, Chengqi Zhang, Shichao Zhang:
Discovering Interesting Association Rules by Clustering. Australian Conference on Artificial Intelligence 2004: 1055-1061 - [c20]Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang:
Decision trees with minimal costs. ICML 2004 - [c19]Zhenxing Qin, Li Liu, Shichao Zhang:
Mining Term Association Rules for Heuristic Query Construction. PAKDD 2004: 145-154 - [c18]Qingfeng Chen, Shichao Zhang:
Dealing with Inconsistent Secure Messages. PRICAI 2004: 33-42 - [c17]Shichao Zhang, Li Liu, Jingli Lu, Yuming Ou:
Is Minimum-Support Appropriate to Identifying Large Itemsets? PRICAI 2004: 474-484 - 2003
- [c16]Qingfeng Chen, Chengqi Zhang, Shichao Zhang, Chunsheng Li:
Verifying the Purchase Request in SET Protocol. APWeb 2003: 263-274 - [c15]Xiaowei Yan, Chengqi Zhang, Shichao Zhang:
A Database-Independent Approach of Mining Association Rules with Genetic Algorithm. IDEAL 2003: 882-886 - [c14]Qingfeng Chen, Chengqi Zhang, Shichao Zhang:
Verifying the Payment Authorization in SET Protocol. IDEAL 2003: 914-918 - [c13]Xiaowei Yan, Chengqi Zhang, Shichao Zhang:
Identifying Frequent Terms in Text Databases by Association Semantics. ITCC 2003: 672-675 - [c12]Xiaowei Yan, Chengqi Zhang, Shichao Zhang:
A Database-Independent Strategy for Confidence Determination. SEKE 2003: 621-625 - 2002
- [c11]Shichao Zhang, Chengqi Zhang, Xiaowei Yan, Zhenxing Qin:
Identifying Exceptional Patterns in Multi-Databases. FSKD 2002: 146-150 - [c10]Chengqi Zhang, Shichao Zhang, Xiaowei Yan, Zhenxing Qin:
Mind the Trends When You Mine: Incremental Data Mining. FSKD 2002: 476- - [c9]Chengqi Zhang, Shichao Zhang:
Database clustering for mining multi-databases. FUZZ-IEEE 2002: 974-979 - [c8]Xindong Wu, Chengqi Zhang, Shichao Zhang:
Mining Both Positive and Negative Association Rules. ICML 2002: 658-665 - [c7]Xiaowei Yan, Chengqi Zhang, Shichao Zhang, John K. Debenham:
Association Rule Mining by Agents. ICMLA 2002: 77-83 - [c6]Chengqi Zhang, Xiaowei Yan, Shichao Zhang, Paul Kennedy:
Mining Very Large Databases Using Software Agents. ICMLA 2002: 84-90 - 2001
- [c5]Chengqi Zhang, Shichao Zhang:
Collecting Quality Data for Database Mining. Australian Joint Conference on Artificial Intelligence 2001: 593-604 - [c4]Shichao Zhang, Chengqi Zhang:
Pattern Discovery in Probabilistic Databases. Australian Joint Conference on Artificial Intelligence 2001: 619-630 - [c3]Kaile Su, Xudong Luo, Huaiqing Wang, Chengqi Zhang, Shichao Zhang, Qingfeng Chen:
A Logical Framework for Knowledge Sharing in Multi-agent Systems. COCOON 2001: 561-570 - [c2]Shichao Zhang, Chengqi Zhang:
Mining Small Databases by Collecting Knowledge. DASFAA 2001: 154-155 - [c1]Shichao Zhang, Chengqi Zhang:
Estimating Itemsets of Interst by Sampling. FUZZ-IEEE 2001: 131-134
Parts in Books or Collections
- 2005
- [p1]Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang:
Identifying Interesting Patterns in Multidatabases. Classification and Clustering for Knowledge Discovery 2005: 91-112
Editorship
- 2018
- [e2]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] - [e1]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]
Informal and Other Publications
- 2024
- [i11]Chunwei Tian, Menghua Zheng, Bo Li, Yanning Zhang, Shichao Zhang, David Zhang:
Perceptive self-supervised learning network for noisy image watermark removal. CoRR abs/2403.02211 (2024) - 2023
- [i10]Qin Li, Junyu Quan, Jinjing Shi, Shichao Zhang, Xuelong Li:
Delegated variational quantum algorithms based on quantum homomorphic encryption. CoRR abs/2301.10433 (2023) - [i9]Chunwei Tian, Menghua Zheng, Wangmeng Zuo, Shichao Zhang, Yanning Zhang, Chia-Wen Lin:
A cross Transformer for image denoising. CoRR abs/2310.10408 (2023) - 2022
- [i8]Shichao Zhang, Jiaye Li, Wenzhen Zhang, Yongsong Qin:
Hyper-Class Representation of Data. CoRR abs/2201.13317 (2022) - [i7]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) - [i6]Shichao Zhang, Jiaye Li:
Hashing Learning with Hyper-Class Representation. CoRR abs/2206.02334 (2022) - [i5]Ren-Xin Zhao, Jinjing Shi, Shichao Zhang, Xuelong Li:
QSAN: A Near-term Achievable Quantum Self-Attention Network. CoRR abs/2207.07563 (2022) - 2021
- [i4]Shichao Zhang, Jiaye Li:
Z Distance Function for KNN Classification. CoRR abs/2103.09704 (2021) - 2020
- [i3]Shichao Zhang, Jiaye Li:
KNN Classification with One-step Computation. CoRR abs/2012.06047 (2020) - 2019
- [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) - 2016
- [i1]Shichao Zhang:
Data Partitioning View of Mining Big Data. CoRR abs/1611.09691 (2016)
Coauthor Index
[b3] [b2] [b1] [j74] [j72] [j66] [j58] [j54] [j52] [j51] [j50] [j42] [j40] [j38] [j37] [j36] [j31] [j29] [j28] [j27] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j7] [j6] [j5] [j4] [j2] [j1] [c65] [c55] [c50] [c49] [c47] [c46] [c45] [c42] [c41] [c40] [c39] [c37] [c36] [c33] [c31] [c30] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [p1]
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-06-20 23:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
