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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.org/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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2020 – today
- 2025
[j185]Penghui Xi, Debo Cheng, Guangquan Lu, Zhenyun Deng, Guixian Zhang, Shichao Zhang:
Identifying local useful information for attribute graph anomaly detection. Neurocomputing 617: 128900 (2025)- [j184]Yangding Li, Yangyang Zeng, Xiangchao Zhao, Jiawei Chai, Hao Feng, Shaobin Fu, Cui Ye, Shichao Zhang:
GNN-transformer contrastive learning explores homophily. Inf. Process. Manag. 62(4): 104103 (2025) - [j183]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Disentangled contrastive learning for fair graph representations. Neural Networks 181: 106781 (2025) - [j182]Tairan Huang, Qiutong Li, Cong Xu, Jianliang Gao, Zhao Li, Shichao Zhang:
Revisiting low-homophily for graph-based fraud detection. Neural Networks 188: 107407 (2025) - [j181]Huawen Liu, Shichao Zhang, Zongda Wu, Xuelong Li:
Outlier detection using local density and global structure. Pattern Recognit. 157: 110947 (2025) - [j180]Zehong Wang, Donghua Yu, Shigen Shen, Shichao Zhang, Huawen Liu, Shuang Yao, Maozu Guo:
Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6858-6872 (2025) - [j179]Wei Lan, Guoxian Zhou, Qingfeng Chen, Wenguang Wang, Shirui Pan, Yi Pan, Shichao Zhang:
Contrastive Clustering Learning for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 43(1): 18:1-18:23 (2025) - [j178]Xiyao Liu, Cundian Yang, Jianbiao He, Hui Fang, Gerald Schaefer, Jian Zhang, Yuesheng Zhu, Shichao Zhang:
Attack-Defending Contrastive Learning for Volumetric Medical Image Zero-Watermarking. ACM Trans. Multim. Comput. Commun. Appl. 21(2): 62:1-62:23 (2025) - [c105]Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng:
Community-Centric Graph Unlearning. AAAI 2025: 18548-18556 - [i23]Daochang Liu, Junyu Zhang, Anh-Dung Dinh, Eunbyung Park, Shichao Zhang, Chang Xu:
Generative Physical AI in Vision: A Survey. CoRR abs/2501.10928 (2025) - [i22]Wenzhen Zhang, Debo Cheng, Guangquan Lu, Bo Zhou, Jiaye Li, Shichao Zhang:
Efficient Adaptive Label Refinement for Label Noise Learning. CoRR abs/2502.00386 (2025) - 2024
- [j177]Jian Zhang, Ze Tao, Shichao Zhang, Zike Qiao, Kehua Guo:
Soft Hybrid Knowledge Distillation against deep neural networks. Neurocomputing 570: 127142 (2024) - [j176]Chunwei Tian, Menghua Zheng, Wangmeng Zuo, Shichao Zhang, Yanning Zhang, Chia-Wen Lin:
A cross Transformer for image denoising. Inf. Fusion 102: 102043 (2024) - [j175]Ze Tao, Haowei Li, Jian Zhang, Shichao Zhang:
Multi-level knowledge distillation via dynamic decision boundaries exploration and exploitation. Inf. Fusion 112: 102586 (2024) - [j174]Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang:
Learning fair representations via rebalancing graph structure. Inf. Process. Manag. 61(1): 103570 (2024) - [j173]Jian Zhang, Ze Tao, Kehua Guo, Haowei Li, Shichao Zhang:
Hybrid mix-up contrastive knowledge distillation. Inf. Sci. 660: 120107 (2024) - [j172]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) - [j171]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) - [j170]Chengyu Li, Debo Cheng, Guixian Zhang, Shichao Zhang:
Contrastive learning for fair graph representations via counterfactual graph augmentation. Knowl. Based Syst. 305: 112635 (2024) - [j169]Qi Zhang, Jingyu Xiao, Shichao Zhang, Jerry Chun-Wei Lin, Chunwei Tian, Chengyuan Zhang:
Texture-guided CNN for image denoising. Multim. Tools Appl. 83(23): 63949-63973 (2024) - [j168]Jiaye Li, Yangding Li, Jiagang Song, Jian Zhang, Shichao Zhang:
Quantum Support Vector Machine for Classifying Noisy Data. IEEE Trans. Computers 73(9): 2233-2247 (2024) - [j167]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) - [j166]Qin Li, Junyu Quan, Jinjing Shi, Shichao Zhang, Xuelong Li:
Secure Delegated Variational Quantum Algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3129-3142 (2024) - [j165]Chunwei Tian, Menghua Zheng, Bo Li, Yanning Zhang, Shichao Zhang, David Zhang:
Perceptive Self-Supervised Learning Network for Noisy Image Watermark Removal. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7069-7079 (2024) - [j164]Jinjing Shi, Tian Chen, Wei Lai, Shichao Zhang, Xuelong Li:
Pretrained Quantum-Inspired Deep Neural Network for Natural Language Processing. IEEE Trans. Cybern. 54(10): 5973-5985 (2024) - [j163]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) - [j162]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) - [j161]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) - [j160]Jiaye Li, Jinjing Shi, Jian Zhang, Yuhu Lu, Qin Li, Chunlin Yu, Shichao Zhang:
Quantum Nearest Neighbor Collaborative Filtering Algorithm for Recommendation System. ACM Trans. Knowl. Discov. Data 18(8): 201:1-201:28 (2024) - [j159]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) - [j158]Cheng Liang, Daoyuan Wang, Huaxiang Zhang, Shichao Zhang, Fei Guo:
Robust Tensor Subspace Learning for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(11): 6934-6948 (2024) - [j157]Wei Lan, Tianchuan Yang, Qingfeng Chen, Shichao Zhang, Yi Dong, Huiyu Zhou, Yi Pan:
Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11382-11395 (2024) - [j156]Huawen Liu, Wenhua Zhou, Hong Zhang, Gang Li, Shichao Zhang, Xuelong Li:
Bit Reduction for Locality-Sensitive Hashing. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12470-12481 (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) - [c104]Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang:
Multi-view Graph Neural Network for Fair Representation Learning. APWeb/WAIM (3) 2024: 208-223 - [c103]Longqing Du, Guangquan Lu, Yadan Han, Zhiping Luo, Guoqiu Wen, Liang Zhang, Wanxin Chen, Shichao Zhang:
GraphDHV: Graph Neural Network with Dual Hybrid View on Imbalanced Node Classification. COCOON (2) 2024: 502-513 - [c102]Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu:
Residual Learning in Diffusion Models. CVPR 2024: 7289-7299 - [c101]Qingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang:
A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. ICDM 2024: 71-80 - [i21]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) - [i20]Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang:
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems. CoRR abs/2408.09646 (2024) - [i19]Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu:
Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems. CoRR abs/2408.09651 (2024) - [i18]Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng:
Community-Centric Graph Unlearning. CoRR abs/2408.09705 (2024) - [i17]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Mitigating Propensity Bias of Large Language Models for Recommender Systems. CoRR abs/2409.20052 (2024) - [i16]Jinjing Shi, Tian Chen, Shichao Zhang, Xuelong Li:
Personalized Quantum Federated Learning for Privacy Image Classification. CoRR abs/2410.02547 (2024) - [i15]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Towards Fair Graph Representation Learning in Social Networks. CoRR abs/2410.11493 (2024) - [i14]Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang:
Multi-Cause Deconfounding for Recommender Systems with Latent Confounders. CoRR abs/2410.12366 (2024) - [i13]Chengyuan Zhang, Yilin Zhang, Lei Zhu, Deyin Liu, Lin Wu, Bo Li, Shichao Zhang, Mohammed Bennamoun, Farid Boussaïd:
UIFormer: A Unified Transformer-based Framework for Incremental Few-Shot Object Detection and Instance Segmentation. CoRR abs/2411.08569 (2024) - [i12]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Xudong Guo, Shichao Zhang:
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data. CoRR abs/2411.17774 (2024) - [i11]Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang:
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation. CoRR abs/2412.00382 (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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [i4]Shichao Zhang, Jiaye Li:
Z Distance Function for KNN Classification. CoRR abs/2103.09704 (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) - [c84]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
- [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) - [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 - [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
- [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) - [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 - [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] - 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) - [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
- [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) - [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 - [i1]Shichao Zhang:
Data Partitioning View of Mining Big Data. CoRR abs/1611.09691 (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) - [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
- [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) - [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
- [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) - [c58]Huawen Liu, Xindong Wu, Shichao Zhang:
Feature selection using hierarchical feature clustering. CIKM 2011: 979-984 - 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) - [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
2000 – 2009
- 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
- [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 - [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) - [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
- [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) - [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
- [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) - [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
- [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) - [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 - [p1]Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang:
Identifying Interesting Patterns in Multidatabases. Classification and Clustering for Knowledge Discovery 2005: 91-112 - 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 - [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) - [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
- [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) - [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
- [b1]Chengqi Zhang, Shichao Zhang:
Association Rule Mining, Models and Algorithms. Lecture Notes in Computer Science 2307, Springer 2002, ISBN 3-540-43533-6 - [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) - [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
- [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) - [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
1990 – 1999
- 1999
- [j1]Shichao Zhang, Chengqi Zhang:
IMC: A Method for Interval Calculus in Matrix. Knowl. Inf. Syst. 1(2): 257-268 (1999)
Coauthor Index
[c65] [j74] [j72] [j66] [j58] [c55] [j54] [j52] [j51] [j50] [b3] [j42] [j40] [j38] [j37] [j36] [c50] [c49] [c47] [c46] [c45] [c42] [c41] [c40] [c39] [c37] [c36] [c33] [c31] [c30] [j31] [j29] [j28] [j27] [c28] [c27] [c26] [c25] [c24] [p1] [b2] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [c23] [c22] [c21] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [c16] [c15] [c14] [c13] [c12] [b1] [j7] [j6] [j5] [j4] [c11] [c10] [c9] [c8] [c7] [c6] [j2] [c5] [c4] [c3] [c2] [c1] [j1]
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