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2020 – today
- 2024
[j27]Yunan Shi, Junxian Bao, Keyang Cheng, Weijie Shen, Jingfeng Tang
, Yongzhao Zhan:
Interpretable Risk Assessment Methods for Medical Image Processing via Dynamic Dilated Convolution and a Knowledge Base on Location Relations. Comput. Informatics 43(2): 438-457 (2024)- [j26]Hongjian Gu, Wenxuan Zou, Keyang Cheng, Bin Wu, Humaira abdul Ghafoor, Yongzhao Zhan:
Person re-identification via deep compound eye network and pose repair module. IET Comput. Vis. 18(6): 826-841 (2024) - [j25]Keyang Cheng, Chunyun Meng, Guojian Ma, Yongzhao Zhan:
β-CLVAE: a semantic disentangled generative model. Multim. Tools Appl. 83(3): 8517-8532 (2024) - [j24]Keyang Cheng, Honggang Cui, Humaira abdul Ghafoor, Hao Wan, Qirong Mao, Yongzhao Zhan:
Tiny Object Detection via Regional Cross Self-Attention Network. IEEE Trans. Circuits Syst. Video Technol. 34(10): 8984-8996 (2024) - [c23]Hongjian Gu, Wenxuan Zou, Sai Liang, Keyang Cheng:
A Knowledge-Driven Cross-Period Network for Clothes Changing Re-ID. ACM TUR-C 2024 - [c22]Keyang Cheng, Hao Zhou, Hao Wan:
Interpreting Convolutional Neural Network Decision via Pixel-Wise Interaction Hierarchy Graph. ICPR (7) 2024: 147-161 - [c21]Keyang Cheng, Rabia Tahir, Hao Wan:
Advancements in Photorealistic Style Translation with a Hybrid Generative Adversarial Network. PRCV (4) 2024: 338-355 - 2023
- [j23]Yi Ding, Xiangru Lyu, Liuyang Yan, Lan Rong, Keyang Cheng:
Remote Sensing Target Detection Inspired by Scene Information and Inter-Object Relations. Comput. Informatics 42(6): 1404-1427 (2023) - [j22]Liukun He, Liang-Min Wang, Keyang Cheng, Yifan Xu:
FlowMFD: Characterisation and classification of tor traffic using MFD chromatographic features and spatial-temporal modelling. IET Inf. Secur. 17(4): 598-615 (2023) - [j21]Keyang Cheng, Liuyang Yan, Yi Ding, Hao Zhou, Maozhen Li, Humaira abdul Ghafoor:
Sonar image garbage detection via global despeckling and dynamic attention graph optimization. Neurocomputing 529: 152-165 (2023) - [j20]Keyang Cheng, Qing Liu, Rabia Tahir, Liangmin Wang, Maozhen Li:
Logical Topology Inference via CPGCN Joint Optimizing With Pedestrian Re-Id. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5099-5111 (2023) - 2022
- [j19]Shi Qiu, Keyang Cheng, Tao Zhou, Rabia Tahir, Liang Ting:
An EEG Signal Recognition Algorithm During Epileptic Seizure Based on Distributed Edge Computing. Int. J. Interact. Multim. Artif. Intell. 7(5): 6 (2022) - [j18]Rabia Tahir, Keyang Cheng, Bilal Ahmed Memon, Qing Liu:
A Diverse Domain Generative Adversarial Network for Style Transfer on Face Photographs. Int. J. Interact. Multim. Artif. Intell. 7(5): 100 (2022) - [j17]Keyang Cheng, Xuesen Zhu, Yongzhao Zhan, Yunshen Pei:
Video deblurring and flow-guided feature aggregation for obstacle detection in agricultural videos. Int. J. Multim. Inf. Retr. 11(4): 577-588 (2022) - [j16]Huifen Xia, Yongzhao Zhan, Keyang Cheng:
Spatial-temporal correlations learning and action-background jointed attention for weakly-supervised temporal action localization. Multim. Syst. 28(4): 1529-1541 (2022) - [j15]Qing Tian, Shiyu Xia, Meng Cao, Keyang Cheng:
Reliable Sensing Data Fusion Through Robust Multiview Prototype Learning. IEEE Trans. Ind. Informatics 18(4): 2665-2673 (2022) - [j14]Liangmin Wang, Fan Wen, Keyang Cheng, Xia Feng, Hao Shentu:
SMA: SRv6-Based Multidomain Integrated Architecture for Industrial Internet. IEEE Trans. Ind. Informatics 18(6): 4234-4243 (2022) - [c20]Hao Zhou, Keyang Cheng, Yu Si, Liuyang Yan:
Improving Interpretability by Information Bottleneck Saliency Guided Localization. BMVC 2022: 605 - [c19]Soha Alrajjou, Edward Kwadwo Boahen, Chunyun Meng, Keyang Cheng:
An enhanced interpretable deep learning approach for diabetic retinopathy detection. CyberC 2022: 127-135 - [c18]Yu Si, Keyang Cheng, Zhou Jiang, Hao Zhou, Rabia Tahir:
DRIB: Interpreting DNN with Dynamic Reasoning and Information Bottleneck. ICPCSEE (1) 2022: 178-189 - [c17]Keyang Cheng, Yu Si, Hao Zhou, Rabia Tahir:
MMDV: Interpreting DNNs via Building Evaluation Metrics, Manual Manipulation and Decision Visualization. ACM Multimedia 2022: 6627-6635 - [c16]Yunshen Pei, Yi Ding, Xuesen Zhu, Liuyang Yan, Keyang Cheng:
Dual Attention-Guided Network for Anchor-Free Apple Instance Segmentation in Complex Environments. PRCV (4) 2022: 533-545 - 2021
- [j13]Keyang Cheng, Muhammad Saddam Khokhar, Misbah Ayoub, Zakria Jamali:
Nonlinear dimensionality reduction in robot vision for industrial monitoring process via deep three dimensional Spearman correlation analysis (D3D-SCA). Multim. Tools Appl. 80(4): 5997-6017 (2021) - [j12]Xianjia Meng, Shi Qiu, Shaohua Wan, Keyang Cheng, Lei Cui:
A motor imagery EEG signal classification algorithm based on recurrence plot convolution neural network. Pattern Recognit. Lett. 146: 134-141 (2021) - [c15]Keyang Cheng, Qing Liu, Rabia Tahir, Lubamba Kasangu Eric, Ligang He:
Multi-Camera Logical Topology Inference via Conditional Probability Graph Convolution Network. ICME 2021: 1-6 - [c14]Bin Wu, Keyang Cheng, Chunyun Meng, Sai Liang:
Anti-occluded Person Re-identification via Pose Restoration and Dual Channel Feature Distance Measurement. PRCV (4) 2021: 399-410 - 2020
- [j11]Keyang Cheng, Lubamba Kasangu Eric, Qing Liu:
Action Prediction Based on Partial Video Observation via Context and Temporal Sequential Network With Deformable Convolution. IEEE Access 8: 133527-133540 (2020) - [j10]Junsong Luo, Shi Qiu, Yizhang Jiang, Keyang Cheng, Huping Ye, Mingjin Zhang:
A Contribution Algorithm from LDRI to HDRI. Int. J. Pattern Recognit. Artif. Intell. 34(7): 2059025:1-2059025:15 (2020) - [j9]Keyang Cheng, Rabia Tahir, Lubamba Kasangu Eric, Maozhen Li:
An analysis of generative adversarial networks and variants for image synthesis on MNIST dataset. Multim. Tools Appl. 79(19-20): 13725-13752 (2020) - [j8]Keyang Cheng, Fei Tao, Yongzhao Zhan, Maozhen Li, Kenli Li:
Hierarchical attributes learning for pedestrian re-identification via parallel stochastic gradient descent combined with momentum correction and adaptive learning rate. Neural Comput. Appl. 32(10): 5695-5712 (2020) - [c13]Qing Liu, Keyang Cheng, Bin Wu:
Person Search via Anchor-Free Detection and Part-Based Group Feature Similarity Estimation. PRCV (2) 2020: 242-254
2010 – 2019
- 2019
- [j7]Keyang Cheng, Muhammad Saddam Khokhar, Qing Liu, Rabia Tahir, Maozhen Li:
Data-Driven Logical Topology Inference for Managing Safety and Re-Identification of Patients Through Multi-Cameras IoT. IEEE Access 7: 159466-159478 (2019) - [c12]Keyang Cheng, Muhammad Saddam Khokhar, Yunbo Rao, Rabia Tahir:
Multi-camera Background and Scene Activity Modelling Based on Spearman Correlation Analysis and Inception-V3 Network. ICDE Workshops 2019: 319-325 - [c11]Miao Gou, Yunbo Rao, Minglu Zhang, Jianxun Sun, Keyang Cheng:
Automatic Image Annotation and Deep Learning for Tooth CT Image Segmentation. ICIG (2) 2019: 519-528 - [c10]Keyang Cheng, Lubamba Kasangu Eric, Rabia Tahir, Maozhen Li:
Capsule Recurrent Neural Network with Weight Update Using Dynamic Routing by Agreement: A Unified Model for Action Recognition in Videos. ICNC-FSKD 2019: 307-316 - [c9]Lubamba Kasangu Eric, Keyang Cheng, Rabia Tahir, Muhammad Saddam Khokhar:
Improve Crowd Size Estimation by Leveraging Deformable Convolutional Neural Network and Deformable Region of Interest. ICSAI 2019: 872-877 - 2018
- [j6]Keyang Cheng, Fangjie Xu, Fei Tao, Man Qi, Maozhen Li:
Data-driven pedestrian re-identification based on hierarchical semantic representation. Concurr. Comput. Pract. Exp. 30(23) (2018) - [c8]Fei Tao, Keyang Cheng, Jianming Zhang:
Pedestrian Re-identification Based on Hierarchical Attributes Learning via Parallel Stochastic Gradient Descent. CCIS 2018: 375-380 - [c7]Keyang Cheng, Fei Tao, Jianming Zhang:
A Stochastic Parallel Gradient Descent Algorithem for Pedestrian Re-identification. ICNC-FSKD 2018: 221-227 - [c6]Keyang Cheng, Fei Tao:
A Stochastic Parallel Gradient Descent Algorithm for Person Re-identification*. VCIP 2018: 1-5 - 2017
- [j5]Keyang Cheng, Yongzhao Zhan, Man Qi:
AL-DDCNN: a distributed crossing semantic gap learning for person re-identification. Concurr. Comput. Pract. Exp. 29(3) (2017) - [j4]Keyang Cheng, Kaifa Hui, Yongzhao Zhan, Maozhen Li:
Sparse representations based distributed attribute learning for person re-identification. Multim. Tools Appl. 76(23): 25015-25037 (2017) - [c5]Fangjie Xu, Keyang Cheng, Kaifa Hui, Jianming Zhang:
Data-driven and semantic-based pedestrian re-identification. ICNC-FSKD 2017: 964-972 - 2016
- [c4]Jianping Gou, Lan Du, Keyang Cheng, Yingfeng Cai:
Discriminative sparsity preserving graph embedding. CEC 2016: 4250-4257 - [c3]Keyang Cheng, Kaifa Hui, Yongzhao Zhan, Man Qi:
A novel improved ViBe algorithm to accelerate the ghost suppression. ICNC-FSKD 2016: 1692-1698 - 2014
- [j3]Keyang Cheng, Xiaoyang Tan:
Sparse representations based attribute learning for flower classification. Neurocomputing 145: 416-426 (2014) - 2013
- [j2]Keyang Cheng, Qirong Mao, Yongzhao Zhan:
Pedestrian Detection Based on Kernel Discriminative Sparse Representation. Trans. Edutainment 9: 184-195 (2013) - [c2]Keyang Cheng, Junxian Bao:
A new algorithm for pedestrian detection. ICDIP 2013: 88783C - 2010
- [j1]Yongzhao Zhan, Keyang Cheng, Ya-Bi Chen, Chuan-Jun Wen:
A New Classifier for Facial Expression Recognition: Fuzzy Buried Markov Model. J. Comput. Sci. Technol. 25(3): 641-650 (2010)
2000 – 2009
- 2008
- [c1]Keyang Cheng, Yabi Chen, Yongzhao Zhan:
A New Approach for Facial Expression Recognition Based on Burial Markov Model. FSKD (4) 2008: 3-9
Coauthor Index
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last updated on 2024-12-13 19:13 CET by the dblp team
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