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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://dblp1.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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2020 – today
- 2025
[j179]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Disentangled contrastive learning for fair graph representations. Neural Networks 181: 106781 (2025)- [j178]Huawen Liu, Shichao Zhang, Zongda Wu, Xuelong Li:
Outlier detection using local density and global structure. Pattern Recognit. 157: 110947 (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) - [c102]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 - [c101]Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu:
Residual Learning in Diffusion Models. CVPR 2024: 7289-7299 - [i17]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) - [i16]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) - [i15]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) - [i14]Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng:
Community-Centric Graph Unlearning. CoRR abs/2408.09705 (2024) - [i13]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) - [i12]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) - [i11]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) - 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]