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2020 – today
- 2024
[j71]Zheng Wu, Kehua Guo, Entao Luo, Tian Wang
, Shoujin Wang, Yi Yang, Xiangyuan Zhu, Rui Ding:
Medical long-tailed learning for imbalanced data: Bibliometric analysis. Comput. Methods Programs Biomed. 247: 108106 (2024)- [j70]Kehua Guo, Xiangyuan Zhu, Gerald Schaefer, Rui Ding, Hui Fang:
Self-supervised memory learning for scene text image super-resolution. Expert Syst. Appl. 258: 125247 (2024) - [j69]Jian Zhang, Ze Tao, Shichao Zhang, Zike Qiao, Kehua Guo:
Soft Hybrid Knowledge Distillation against deep neural networks. Neurocomputing 570: 127142 (2024) - [j68]Jian Zhang, Ze Tao, Kehua Guo, Haowei Li, Shichao Zhang:
Hybrid mix-up contrastive knowledge distillation. Inf. Sci. 660: 120107 (2024) - [j67]Zheng Wu, Feihong Zhu, Kehua Guo, Sheng Ren, Chao Liu, Hui Fang:
Modal adaptive super-resolution for medical images via continual learning. Signal Process. 217: 109342 (2024) - [j66]Kehua Guo, Zheng Wu, Weizheng Wang, Sheng Ren, Xiaokang Zhou, Thippa Reddy Gadekallu, Entao Luo, Chao Liu:
GRTR: Gradient Rebalanced Traffic Sign Recognition for Autonomous Vehicles. IEEE Trans Autom. Sci. Eng. 21(3): 2349-2361 (2024) - [j65]Kehua Guo, Ze Tao, Ling-Yan Zhang, Bin Hu, Xiaoyan Kui:
Generalize Deep Neural Networks With Adaptive Regularization for Classifying. IEEE Trans. Comput. Soc. Syst. 11(1): 1216-1229 (2024) - [j64]Kehua Guo, Changchun Shen, Xiaokang Zhou, Sheng Ren, Min Hu, Minxue Shen, Xiang Chen, Haifu Guo:
Traffic Data-Empowered XGBoost-LSTM Framework for Infectious Disease Prediction. IEEE Trans. Intell. Transp. Syst. 25(1): 774-785 (2024) - [j63]Rui Ding, Kehua Guo, Xiangyuan Zhu, Zheng Wu, Hui Fang:
Progressive Diversity Generation for Single Domain Generalization. IEEE Trans. Multim. 26: 10200-10210 (2024) - [j62]Kehua Guo, Liang Chen, Xiangyuan Zhu, Xiaoyan Kui, Jian Zhang, Heyuan Shi:
Double-Layer Search and Adaptive Pooling Fusion for Reference-Based Image Super-Resolution. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 15:1-15:23 (2024) - [i1]Yimian Dai, Mengxuan Xiao, Yiming Zhu, Huan Wang, Kehua Guo, Jian Yang:
Background Semantics Matter: Cross-Task Feature Exchange Network for Clustered Infrared Small Target Detection With Sky-Annotated Dataset. CoRR abs/2407.20078 (2024) - 2023
- [j61]Kehua Guo, Jie Chen, Tian Qiu, Shaojun Guo, Tao Luo, Tianyu Chen, Sheng Ren:
MedGAN: An adaptive GAN approach for medical image generation. Comput. Biol. Medicine 163: 107119 (2023) - [j60]Xiangyuan Zhu, Kehua Guo, Tian Qiu, Hui Fang, Zheng Wu, Xuyang Tan, Chao Liu:
Stereoscopic image super-resolution with interactive memory learning. Expert Syst. Appl. 227: 120143 (2023) - [j59]Zheng Wu, Kehua Guo, Sheng Ren, Xiangyuan Zhu, Rui Ding, Liwei Wang:
GREB: gradient re-balanced loss for long-tailed multi-lable classification. J. Ambient Intell. Humaniz. Comput. 14(6): 7937-7948 (2023) - [j58]Sheng Ren, Yan He, Xiaokang Wang, Kehua Guo, Silvio Barra, Jianqi Li:
CIOD: an intelligent class-incremental object detection system with nearest mean of exemplars. J. Ambient Intell. Humaniz. Comput. 14(8): 10657-10671 (2023) - [j57]Zheng Wu, Changchun Shen, Kehua Guo, Entao Luo, Liwei Wang:
NC2E: boosting few-shot learning with novel class center estimation. Neural Comput. Appl. 35(9): 7049-7062 (2023) - [j56]Sheng Ren, Kehua Guo, Jianguang Ma, Feihong Zhu, Bin Hu, Haoming Zhou:
Realistic medical image super-resolution with pyramidal feature multi-distillation networks for intelligent healthcare systems. Neural Comput. Appl. 35(31): 22781-22796 (2023) - [j55]Sheng Ren, Kehua Guo, Xiaokang Zhou, Bin Hu, Feihong Zhu, Entao Luo:
Medical Image Super-Resolution Based on Semantic Perception Transfer Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2598-2609 (2023) - [j54]Kehua Guo, Zhuo Zhang, Haifu Guo, Sheng Ren, Lei Wang, Xiaokang Zhou, Chao Liu:
Video Super-Resolution Based on Inter-Frame Information Utilization for Intelligent Transportation. IEEE Trans. Intell. Transp. Syst. 24(11): 13409-13421 (2023) - [j53]Kehua Guo, Changchun Shen, Bin Hu, Min Hu, Xiaoyan Kui:
RSNet: Relation Separation Network for Few-Shot Similar Class Recognition. IEEE Trans. Multim. 25: 3894-3904 (2023) - [j52]Kehua Guo, Feihong Zhu, Xiaokang Zhou, Ling-Yan Zhang, Yifei Wang, Jian Kang:
LesionTalk: Core Data Extraction and Multi-class Lesion Detection in IoT-based Intelligent Healthcare. ACM Trans. Sens. Networks 19(3): 50:1-50:20 (2023) - [c16]Xiangyuan Zhu, Kehua Guo, Hui Fang, Rui Ding, Zheng Wu, Gerald Schaefer:
Gradient-Based Graph Attention for Scene Text Image Super-resolution. AAAI 2023: 3861-3869 - [c15]Pinyi Huang, Lei Wang, Tianfu Cai, Kehua Guo:
Micro-Expression Recognition with Layered Relations and More Input Frames. ICIP 2023: 2210-2214 - [c14]Kehua Guo, Rui Ding, Tian Qiu, Xiangyuan Zhu, Zheng Wu, Liwei Wang, Hui Fang:
Single Domain Generalization via Unsupervised Diversity Probe. ACM Multimedia 2023: 2101-2111 - 2022
- [j51]Jiancun Zhou, Zheng Wu, Zixi Jiang, Kai Huang, Kehua Guo, Shuang Zhao:
Background selection schema on deep learning-based classification of dermatological disease. Comput. Biol. Medicine 149: 105966 (2022) - [j50]Bin Hu, Kehua Guo, Xiaokang Wang, Jian Zhang, Di Zhou:
RRL-GAT: Graph Attention Network-Driven Multilabel Image Robust Representation Learning. IEEE Internet Things J. 9(12): 9167-9178 (2022) - [j49]Xiangyuan Zhu, Kehua Guo, Sheng Ren, Bin Hu, Min Hu, Hui Fang:
Lightweight Image Super-Resolution With Expectation-Maximization Attention Mechanism. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1273-1284 (2022) - [j48]Xiangyuan Zhu, Kehua Guo, Hui Fang, Liang Chen, Sheng Ren, Bin Hu:
Cross View Capture for Stereo Image Super-Resolution. IEEE Trans. Multim. 24: 3074-3086 (2022) - [j47]Kehua Guo, Min Hu, Sheng Ren, Fangfang Li, Jian Zhang, Haifu Guo, Xiaoyan Kui:
Deep Illumination-Enhanced Face Super-Resolution Network for Low-Light Images. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 87:1-87:19 (2022) - [c13]Zhuo Zhang, Haifu Guo, Sheng Ren, Kehua Guo:
Learning Inter-Frame Information for Space-Time Video Super-Resolution. CBD 2022: 139-144 - [c12]Rui Ding, Kehua Guo, Xiangyuan Zhu, Zheng Wu, Liwei Wang:
ComGAN: Unsupervised Disentanglement and Segmentation via Image Composition. NeurIPS 2022 - 2021
- [j46]Sheng Ren, Jianqi Li, Kehua Guo, Fangfang Li:
Medical Video Super-Resolution Based on Asymmetric Back-Projection Network With Multilevel Error Feedback. IEEE Access 9: 17909-17920 (2021) - [j45]Kehua Guo, Yifei Wang, Jian Kang, Jian Zhang, Rui Cao:
Core dataset extraction from unlabeled medical big data for lesion localization. Big Data Res. 24: 100185 (2021) - [j44]Yayuan Tang, Hao Wang, Kehua Guo, Tao Luo, Tao Chi:
A new replica placement mechanism for mobile media streaming in edge computing. Concurr. Comput. Pract. Exp. 33(7): 1 (2021) - [j43]Kehua Guo, Bin Hu, Jianhua Ma, Sheng Ren, Ze Tao, Jian Zhang:
Toward Anomaly Behavior Detection as an Edge Network Service Using a Dual-Task Interactive Guided Neural Network. IEEE Internet Things J. 8(16): 12623-12637 (2021) - [j42]Kehua Guo, Tao Luo, Md. Zakirul Alam Bhuiyan, Sheng Ren, Jian Zhang, Di Zhou:
Zero shot augmentation learning in internet of biometric things for health signal processing. Pattern Recognit. Lett. 146: 142-149 (2021) - [j41]Kehua Guo, Nan Li, Jian Kang, Jian Zhang:
Towards efficient federated learning-based scheme in medical cyber-physical systems for distributed data. Softw. Pract. Exp. 51(11): 2274-2289 (2021) - 2020
- [j40]Jiancun Zhou, Tao Xu, Sheng Ren, Kehua Guo:
Two-Stage Spatial Mapping for Multimodal Data Fusion in Mobile Crowd Sensing. IEEE Access 8: 96727-96737 (2020) - [j39]Jiancun Zhou, Rui Cao, Jian Kang, Kehua Guo, Yangting Xu:
An Efficient High-Quality Medical Lesion Image Data Labeling Method Based on Active Learning. IEEE Access 8: 144331-144342 (2020) - [j38]Bin Hu, Kehua Guo, Jian Zhang, Sheng Ren, Jianhua Ma:
Exploring a Humanoid Video-Understanding Algorithm Guided by Behavior. Computer 53(8): 59-67 (2020) - [j37]Entao Luo, Kehua Guo, Yayuan Tang, Xiangdong Ying, Wen Huang:
Hidden the true identity and dating characteristics based on quick private matching in mobile social networks. Future Gener. Comput. Syst. 109: 633-641 (2020) - [j36]Kehua Guo, Haifu Guo, Sheng Ren, Jian Zhang, Xi Li:
Towards efficient motion-blurred public security video super-resolution based on back-projection networks. J. Netw. Comput. Appl. 166: 102691 (2020) - [j35]Kehua Guo, Sheng Ren, Md. Zakirul Alam Bhuiyan, Ting Li, Dengchao Liu, Zhonghe Liang, Xiang Chen:
MDMaaS: Medical-Assisted Diagnosis Model as a Service With Artificial Intelligence and Trust. IEEE Trans. Ind. Informatics 16(3): 2102-2114 (2020) - [j34]Yayuan Tang, Kehua Guo, Ruifang Zhang, Tao Xu, Jianhua Ma, Tao Chi:
ICFR: An effective incremental collaborative filtering based recommendation architecture for personalized websites. World Wide Web 23(2): 1319-1340 (2020)
2010 – 2019
- 2019
- [j33]Mengyun Xu, Kehua Guo, Jie Fang, Zeshan Chen:
Utilizing Artificial Neural Network in GPS-Equipped Probe Vehicles Data- Based Travel Time Estimation. IEEE Access 7: 89412-89426 (2019) - [j32]Xueqing Jia, Tao Luo, Sheng Ren, Kehua Guo, Fangfang Li:
Small sample-based disease diagnosis model acquisition in medical human-centered computing. EURASIP J. Wirel. Commun. Netw. 2019: 212 (2019) - [j31]Yayuan Tang, Kehua Guo, Jianhua Ma, Yutong Shen, Tao Chi:
A smart caching mechanism for mobile multimedia in information centric networking with edge computing. Future Gener. Comput. Syst. 91: 590-600 (2019) - [j30]Kehua Guo, Tao Xu, Xiaoyan Kui, Ruifang Zhang, Tao Chi:
iFusion: Towards efficient intelligence fusion for deep learning from real-time and heterogeneous data. Inf. Fusion 51: 215-223 (2019) - [j29]Kehua Guo, Rui Cao, Xiaoyan Kui, Jianhua Ma, Jian Kang, Tao Chi:
LCC: Towards efficient label completion and correction for supervised medical image learning in smart diagnosis. J. Netw. Comput. Appl. 133: 51-59 (2019) - [j28]Sheng Ren, Deepak Kumar Jain, Kehua Guo, Tao Xu, Tao Chi:
Towards efficient medical lesion image super-resolution based on deep residual networks. Signal Process. Image Commun. 75: 1-10 (2019) - [c11]Sheng Ren, Haifu Guo, Kehua Guo:
Towards Efficient Medical Video Super-Resolution Based on Deep Back-Projection Networks. iThings/GreenCom/CPSCom/SmartData 2019: 682-686 - 2018
- [j27]Yayuan Tang, Hao Wang, Kehua Guo, Yizhe Xiao, Tao Chi:
Relevant Feedback Based Accurate and Intelligent Retrieval on Capturing User Intention for Personalized Websites. IEEE Access 6: 24239-24248 (2018) - [j26]Ping Zhang, Jianxin Wang, Kehua Guo, Fan Wu, Geyong Min:
Multi-functional secure data aggregation schemes for WSNs. Ad Hoc Networks 69: 86-99 (2018) - [j25]Ping Zhang, Shaokai Wang, Kehua Guo, Jianxin Wang:
A secure data collection scheme based on compressive sensing in wireless sensor networks. Ad Hoc Networks 70: 73-84 (2018) - [j24]Kehua Guo, Ting Li, Runhe Huang, Jian Kang, Tao Chi:
DDA: A deep neural network-based cognitive system for IoT-aided dermatosis discrimination. Ad Hoc Networks 80: 95-103 (2018) - [j23]Xiaoyan Kui, Weiguo Liu, Kehua Guo, Jiazhi Xia, Huakun Du:
Teaching method Reform of Python Language Programming Course based on Minimum Knowledge Sets. Mechatron. Syst. Control. 46(4) (2018) - [j22]Ping Zhang, Jianxin Wang, Kehua Guo:
Compressive sensing and random walk based data collection in wireless sensor networks. Comput. Commun. 129: 43-53 (2018) - [j21]Kehua Guo, Zhonghe Liang, Yayuan Tang, Tao Chi:
SOR: An optimized semantic ontology retrieval algorithm for heterogeneous multimedia big data. J. Comput. Sci. 28: 455-465 (2018) - [j20]Kehua Guo, Zhonghe Liang, Ronghua Shi, Chao Hu, Zuoyong Li:
Transparent Learning: An Incremental Machine Learning Framework Based on Transparent Computing. IEEE Netw. 32(1): 146-151 (2018) - [j19]Yayuan Tang, Kehua Guo, Biao Tian:
A block-level caching optimization method for mobile transparent computing. Peer-to-Peer Netw. Appl. 11(4): 711-722 (2018) - [j18]Kehua Guo, Yan He, Xiaoyan Kui, Paramjit S. Sehdev, Tao Chi, Ruifang Zhang, Jialun Li:
LLTO: Towards efficient lesion localization based on template occlusion strategy in intelligent diagnosis. Pattern Recognit. Lett. 116: 225-232 (2018) - [c10]Kehua Guo, Tao Xu, Yayuan Tang, Ruifang Zhang, Jianhua Ma:
An Incremental Collaborative Filtering Based Recommendation Framework for Personalized Websites. DASC/PiCom/DataCom/CyberSciTech 2018: 181-186 - [c9]Yan He, Kehua Guo, Ruifang Zhang, Jialun Li, Wei Liu:
Towards Efficient Lesion Localization Based on Template Occlusion Strategy in Intelligent Diagnosis. IScIDE 2018: 44-56 - [c8]Daji Tang, Kehua Guo, Jianhua Ma, Xiaoyan Kui:
Deep Neural Network Based Disease Discrimination Learning from Small Medical Image Training Set and User Feedback. iThings/GreenCom/CPSCom/SmartData 2018: 580-585 - [c7]Rui Cao, Kehua Guo, Jianhua Ma, Jian Kang:
A Deep Convolutional Neural Network-Based Label Completion and Correction Strategy for Supervised Medical Image Learning. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1725-1730 - 2017
- [j17]Yaoxue Zhang, Kehua Guo, Ju Ren, Yuezhi Zhou, Jianxin Wang, Jianer Chen:
Transparent Computing: A Promising Network Computing Paradigm. Comput. Sci. Eng. 19(1): 7-20 (2017) - [j16]Kehua Guo, Yujian Huang, Li Kuang, Yaoxue Zhang:
CASP: A Context-Aware Transparent Active Service Provision Architecture in a Mobile Internet Environment. Comput. Sci. Eng. 19(1): 38-45 (2017) - [j15]Kehua Guo, Yayuan Tang, Jianhua Ma, Yaoxue Zhang:
Optimized dependent file fetch middleware in transparent computing platform. Future Gener. Comput. Syst. 74: 199-207 (2017) - [j14]Kehua Guo, Yayuan Tang, Peiyun Zhang:
CSF: Crowdsourcing semantic fusion for heterogeneous media big data in the internet of things. Inf. Fusion 37: 77-85 (2017) - [j13]Yujian Huang, Kehua Guo, Yayuan Tang, Lili Zhu:
UDPF: A unified data provision framework for developing dynamic resource-oriented embedded applications. J. Syst. Archit. 77: 52-62 (2017) - [c6]Kehua Guo, Ting Li, Runhe Huang, Jian Kang:
Deep Convolution Neural Network Discriminator for Distinguishing Seborrheic Keratosis and Flat Warts. DASC/PiCom/DataCom/CyberSciTech 2017: 16-21 - [c5]Yayuan Tang, Kehua Guo, Zhonghe Liang, Dengchao Liu:
A Cooperative Replica Placement Strategy for MP2P-CDN. ISPA/IUCC 2017: 904-908 - 2016
- [j12]Li Kuang, Xiang Tang, MeiQi Yu, Yujian Huang, Kehua Guo:
A comprehensive ranking model for tweets big data in online social network. EURASIP J. Wirel. Commun. Netw. 2016: 46 (2016) - [j11]Kehua Guo, Yizhe Xiao, Guihua Duan:
A cost-efficient architecture for the campus information system based on transparent computing platform. Int. J. Ad Hoc Ubiquitous Comput. 21(2): 95-103 (2016) - [j10]Kehua Guo, Ruifang Zhang, Li Kuang:
TMR: Towards an efficient semantic-based heterogeneous transportation media big data retrieval. Neurocomputing 181: 122-131 (2016) - [j9]Kehua Guo, Ruifang Zhang, Zhurong Zhou, Yayuan Tang, Li Kuang:
Combined retrieval: A convenient and precise approach for Internet image retrieval. Inf. Sci. 358-359: 151-163 (2016) - [j8]Hongbin Shi, Kehua Guo:
基于感知哈希与用户偏好的检索意图建模方法 (Retrieval Intention Modeling Based on Perception Hash Algorithm and Browsing Preferences). 计算机科学 43(3): 305-308 (2016) - [j7]Kehua Guo, Ping Zhang, Jianhua Ma:
Secure and Cost-Effective Distributed Aggregation for Mobile Sensor Networks. Sensors 16(4): 583 (2016) - 2015
- [j6]Kehua Guo, Biao Tian, Jianhua Ma:
AMPS: An Adaptive Message Push Strategy for the Energy Efficiency Optimization in Mobile Terminals. Comput. J. 58(6): 1243-1253 (2015) - [j5]Shigeng Zhang, Shuping Yan, Weitao Hu, Jianxin Wang, Kehua Guo:
A Component-Based Localization Algorithm for Sparse Sensor Networks Combining Angle and Distance Information. KSII Trans. Internet Inf. Syst. 9(3): 1014-1034 (2015) - [j4]Kehua Guo, Wei Pan, Mingming Lu, Xiaoke Zhou, Jianhua Ma:
An effective and economical architecture for semantic-based heterogeneous multimedia big data retrieval. J. Syst. Softw. 102: 207-216 (2015) - [c4]Kehua Guo, Yayuan Tang, Jiacheng Gu:
A Novel Scheduling Algorithm for File Fetch in Transparent Computing. ICA3PP (4) 2015: 216-229 - [p1]Kehua Guo, Jianhua Ma:
Semantic-Based Heterogeneous Multimedia Big Data Retrieval. Big Data - Algorithms, Analytics, and Applications 2015: 357-374 - 2014
- [j3]Kehua Guo, Guihua Duan:
3D image retrieval based on differential geometry and co-occurrence matrix. Neural Comput. Appl. 24(3-4): 715-721 (2014) - [j2]Kehua Guo, Jianhua Ma, Guihua Duan:
DHSR: A Novel Semantic Retrieval Approach for Ubiquitous Multimedia. Wirel. Pers. Commun. 76(4): 779-793 (2014) - 2013
- [j1]Kehua Guo, Shigeng Zhang:
A Semantic Medical Multimedia Retrieval Approach Using Ontology Information Hiding. Comput. Math. Methods Medicine 2013: 407917:1-407917:7 (2013) - [c3]Kehua Guo, Yongling Liu, Jianhua Ma:
AMPS: An Adaptive Message Push Strategy for Ubiquitous Terminals. GreenCom/iThings/CPScom 2013: 731-736 - 2012
- [c2]Kehua Guo, Guihua Duan:
3D Partial Surface Matching Using Differential Geometry and Statistical Approaches. IScIDE 2012: 172-180 - 2010
- [c1]Kehua Guo:
3D Shape Representation Using Gaussian Curvature Co-occurrence Matrix. AICI (1) 2010: 373-380
Coauthor Index
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