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Jianjia Wang
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2020 – today
- 2023
- [j35]Xing Wu, Bin Tang, Ming Zhao, Jianjia Wang, Yike Guo:
STR Transformer: A Cross-domain Transformer for Scene Text Recognition. Appl. Intell. 53(3): 3444-3458 (2023) - [j34]Xing Wu, Chenjie Tao, Jian Zhang, Qun Sun, Jianjia Wang, Weimin Li, Yue Liu, Yike Guo:
Space or time for video classification transformers. Appl. Intell. 53(20): 23039-23048 (2023) - [j33]Jianjia Wang, Edwin R. Hancock:
Statistical structural inference from edge weights using a mixture of gamma distributions. J. Complex Networks 11(5) (2023) - [j32]Xing Wu, Jingwen Li, Jianjia Wang, Quan Qian:
Multimodal contrastive learning for radiology report generation. J. Ambient Intell. Humaniz. Comput. 14(8): 11185-11194 (2023) - [j31]Weimin Li, Chang Guo, Zhibin Deng, Fangfang Liu, Jianjia Wang, Ruiqiang Guo, Can Wang, Qun Jin:
Coevolution modeling of group behavior and opinion based on public opinion perception. Knowl. Based Syst. 270: 110547 (2023) - [j30]Xing Wu, Ruixuan Li, Bin Deng, Ming Zhao, Xingyue Du, Jianjia Wang, Kai Ding:
ASTT: acoustic spatial-temporal transformer for short utterance speaker recognition. Multim. Tools Appl. 82(21): 33039-33061 (2023) - [j29]Wenya Hu, Weimin Li, Xiaokang Zhou, Akira Kawai, Kaoru Fueda, Quan Qian, Jianjia Wang:
Spatio-Temporal Graph Convolutional Networks via View Fusion for Trajectory Data Analytics. IEEE Trans. Intell. Transp. Syst. 24(4): 4608-4620 (2023) - [j28]Xing Wu, Jie Pei, Cheng Chen, Yimin Zhu, Jianjia Wang, Quan Qian, Jian Zhang, Qun Sun, Yike Guo:
Federated Active Learning for Multicenter Collaborative Disease Diagnosis. IEEE Trans. Medical Imaging 42(7): 2068-2080 (2023) - [j27]Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock:
Graph Motif Entropy for Understanding Time-Evolving Networks. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1651-1665 (2023) - [c21]Yutong Jiang, Xing Wu, Jianjia Wang:
Urban Social Segregation with Quantum Walk Algorithm. CyberC 2023: 55-58 - [c20]Haodi Mao, Xing Wu, Jianjia Wang:
Using Statistical Distribution to Identify the Influence Connections in Brain Networks. CyberC 2023: 259-262 - [c19]Haodi Mao, Xing Wu, Jianjia Wang:
Trust Maintenance in IoT for Smart Cities with Complex Network Metrics. CyberC 2023: 306-315 - [d1]Haoran Zhu, Tong Yu, Jianjia Wang:
Taxi trajectories. IEEE DataPort, 2023 - 2022
- [j26]Xing Wu, Yifan Jin, Jianjia Wang, Quan Qian, Yike Guo:
MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition. Algorithms 15(5): 160 (2022) - [j25]Xing Wu, Yafei Zhang, Qing Li, Yangyang Qi, Jianjia Wang, Yike Guo:
Face aging with pixel-level alignment GAN. Appl. Intell. 52(13): 14665-14678 (2022) - [j24]Xing Wu, Sihui Ji, Jianjia Wang, Yike Guo:
Speech synthesis with face embeddings. Appl. Intell. 52(13): 14839-14852 (2022) - [j23]Xing Wu, Cheng Chen, Pan Li, Mingyu Zhong, Jianjia Wang, Quan Qian, Peng Ding, Junfeng Yao, Yike Guo:
FTAP: Feature transferring autonomous machine learning pipeline. Inf. Sci. 593: 385-397 (2022) - [j22]Zhi Li, Xing Wu, Jianjia Wang, Yike Guo:
Weather-degraded image semantic segmentation with multi-task knowledge distillation. Image Vis. Comput. 127: 104554 (2022) - [j21]Xing Wu, Yisong Li, Jianjia Wang, Quan Qian, Yike Guo:
UBAR: User Behavior-Aware Recommendation with knowledge graph. Knowl. Based Syst. 254: 109661 (2022) - [j20]Weimin Li, Lin Ni, Jianjia Wang, Can Wang:
Collaborative representation learning for nodes and relations via heterogeneous graph neural network. Knowl. Based Syst. 255: 109673 (2022) - [c18]Jianjia Wang, Chong Wu:
Data-driven Latent Graph Structure Learning for Diagnosis of Alzheimer's Syndrome. ICPR 2022: 3138-3144 - [c17]Jianjia Wang, Xin Zhao, Chong Wu, Edwin R. Hancock:
Inferring Edges from Weights in the Debye Model. ICPR 2022: 3845-3850 - [c16]Jianjia Wang, Cheng Guo, Xing Wu:
Predicting Drug-Drug Interactions with Graph Attention Network. ICPR 2022: 4953-4959 - [c15]Xing Wu, Yuan Zhang, Jianjia Wang, Yike Guo:
TRCA: Text Restoration for Chinese ASR with BERT. SoMeT 2022: 661-668 - 2021
- [j19]Xing Wu, Jianjia Wang, Peng Wang, Zhaoxiang Bian, Tao Huang, Yike Guo, Hamido Fujita:
Trustworthiness assessment for industrial IoT as multilayer networks with von Neumann entropy. Appl. Soft Comput. 106: 107342 (2021) - [j18]Jianjia Wang, Xichen Wu, Mingrui Li:
Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. Entropy 23(2): 216 (2021) - [j17]Jianjia Wang, Xichen Wu, Mingrui Li, Hui Wu, Edwin R. Hancock:
Erratum: Wang, J., et al. Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. Entropy 2021, 23, 216. Entropy 23(4): 438 (2021) - [j16]Weimin Li, Kexin Zhong, Jianjia Wang, Dehua Chen:
A dynamic algorithm based on cohesive entropy for influence maximization in social networks. Expert Syst. Appl. 169: 114207 (2021) - [j15]Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang:
HAL: Hybrid active learning for efficient labeling in medical domain. Neurocomputing 456: 563-572 (2021) - [j14]Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang, Jun Shi:
COVID-AL: The diagnosis of COVID-19 with deep active learning. Medical Image Anal. 68: 101913 (2021) - [j13]Xing Wu, Jianjia Wang, Peng Li, Xiliang Luo, Yang Yang:
Internet of Things as Complex Networks. IEEE Netw. 35(3): 238-245 (2021) - [j12]Dongdong Chen, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock:
Thermodynamic motif analysis for directed stock market networks. Pattern Recognit. 114: 107872 (2021) - [j11]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Network edge entropy decomposition with spin statistics. Pattern Recognit. 118: 108040 (2021) - [j10]Jianjia Wang, Xingchen Guo, Weimin Li, Xing Wu, Zhihong Zhang, Edwin R. Hancock:
Statistical mechanical analysis for unweighted and weighted stock market networks. Pattern Recognit. 120: 108123 (2021) - 2020
- [j9]Penghao Cai, Fuqian Yang, Jianjia Wang, Xing Wu, Yang Yang, Xiliang Luo:
JOTE: Joint Offloading of Tasks and Energy in Fog-Enabled IoT Networks. IEEE Internet Things J. 7(4): 3067-3082 (2020) - [j8]Xing Wu, Haolei Chen, Jianjia Wang, Luigi Troiano, Vincenzo Loia, Hamido Fujita:
Adaptive stock trading strategies with deep reinforcement learning methods. Inf. Sci. 538: 142-158 (2020) - [j7]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Directed and undirected network evolution from Euler-Lagrange dynamics. Pattern Recognit. Lett. 134: 135-144 (2020) - [j6]Xing Wu, Jing Duan, Mingyu Zhong, Peng Li, Jianjia Wang:
VNF Chain Placement for Large Scale IoT of Intelligent Transportation. Sensors 20(14): 3819 (2020) - [j5]Xing Wu, Zhaowang Liang, Jianjia Wang:
FedMed: A Federated Learning Framework for Language Modeling. Sensors 20(14): 4048 (2020) - [c14]Jianjia Wang, Hui Wu, Edwin R. Hancock:
Thermal Characterisation of Unweighted and Weighted Networks. ICPR 2020: 1641-1648 - [c13]Hui Wu, Jianjia Wang, Edwin R. Hancock:
fMRI Brain Networks as Statistical Mechanical Ensembles. ICPR 2020: 1694-1700 - [c12]Haoran Zhu, Hui Wu, Jianjia Wang, Edwin R. Hancock:
Weighted Network Analysis Using the Debye Model. S+SSPR 2020: 153-163
2010 – 2019
- 2019
- [j4]Jianjia Wang, Chenyue Lin, Yilei Wang:
Thermodynamic Entropy in Quantum Statistics for Stock Market Networks. Complex. 2019: 1817248:1-1817248:11 (2019) - [j3]Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock:
Quantum-based subgraph convolutional neural networks. Pattern Recognit. 88: 38-49 (2019) - [j2]Jianjia Wang, Jiayu Huo, Lichi Zhang:
Thermodynamic edge entropy in Alzheimer's disease. Pattern Recognit. Lett. 125: 570-575 (2019) - [c11]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Graph Edge Entropy in Maxwell-Boltzmann Statistics for Alzheimer's Disease Analysis. GbRPR 2019: 56-66 - [c10]Xing Wu, Jianxing Xu, Jianjia Wang, Yufeng Li, Weimin Li, Yike Guo:
Identity authentication on mobile devices using face verification and ID image recognition. ITQM 2019: 932-939 - 2018
- [b1]Jianjia Wang:
Statistical mechanics for network structure and evolution. University of York, UK, 2018 - [c9]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Directed Graph Evolution from Euler-Lagrange Dynamics. ICPR 2018: 448-453 - [c8]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Quantum Edge Entropy for Alzheimer's Disease Analysis. S+SSPR 2018: 449-459 - 2017
- [j1]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Spin statistics, partition functions and network entropy. J. Complex Networks 5(6): 858-883 (2017) - [c7]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Euler-Lagrange Network Dynamics. EMMCVPR 2017: 424-438 - [c6]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Detecting Alzheimer's Disease Using Directed Graphs. GbRPR 2017: 94-104 - [c5]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Minimising Entropy Changes in Dynamic Network Evolution. GbRPR 2017: 255-265 - [c4]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Network Edge Entropy from Maxwell-Boltzmann Statistics. ICIAP (1) 2017: 254-264 - 2016
- [c3]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Network entropy analysis using the Maxwell-Boltzmann partition function. ICPR 2016: 1321-1326 - [c2]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Thermodynamic Network Analysis with Quantum Spin Statistics. S+SSPR 2016: 153-162 - [c1]Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
fMRI Activation Network Analysis Using Bose-Einstein Entropy. S+SSPR 2016: 218-228
Coauthor Index
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last updated on 2024-08-16 19:30 CEST by the dblp team
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