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Wanghu Chen
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Publications
- 2023
- [c19]Mengyang Shen, Wanghu Chen, Jing Li:
Anomaly detection method combining sample subspace distribution and generative models. ACAI 2023: 202-207 - [c18]Wanghu Chen, Shengfang Jin, Yihua Luo, Jing Li:
Enhanced Segmentation of PV Arrays in Infrared Images using an Improved SegFormer Approach. IEEE Big Data 2023: 3914-3920 - 2022
- [c17]Wanghu Chen, Jilong Yao, Meilin Zhou, Jing Li, Mengyang Shen:
Anomaly detection of high-dimensional data based on Ensemble GANs with Dropout. BDCAT 2022: 180-181 - [c16]Jing Li, Pengbo Lv, Huijun Li, Wanghu Chen:
Outlier Detection Based on Stacked Autoencoder and Gaussian Mixture Model. IEEE Big Data 2022: 3763-3769 - [c15]Wanghu Chen, Pengbo Lv, Jing Li, Xiao Ma:
Pavement Condition Detection Method Based on Time-Frequency Features and Capsule Neural Network. IEEE Big Data 2022: 4483-4490 - [c14]Wanghu Chen, Jilong Yao, Yang Liu, Jing Li, Yan Sun, Chunyu Pang:
Psychological Attention-based Analytics of Multivariate Campus Behaviors of University Students. IEEE Big Data 2022: 4656-4663 - 2021
- [c12]Wanghu Chen, Yan Sun, Jing Li, Chenhan Zhai, Pengbo Lv, Shengfang Jin:
Spatio-temporal Clustering based on HHT and Its Applications in Thermal Boiler Controlling. IEEE BigData 2021: 4002-4010 - 2020
- [j3]Wanghu Chen, Bo Yang, Jing Li, Jianwu Wang:
An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks. IEEE Access 8: 178552-178562 (2020) - [c10]Wanghu Chen, Huijun Li, Jing Li, Ali Arshad:
Autoencoder-based outlier detection for sparse, high dimensional data. IEEE BigData 2020: 2735-2742 - 2019
- [j1]Wanghu Chen, Jing Li, Xintian Li, Lizhi Zhang, Jianwu Wang:
Training Back Propagation Neural Networks in MapReduce on High-Dimensional Big Datasets With Global Evolution. IEEE Access 7: 159855-159867 (2019) - [c9]Wanghu Chen, Chao Wang, Jing Li, Bo Yang, Yang Liu, Jianwu Wang:
Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches. IEEE BigData 2019: 3623-3631 - 2018
- [c7]Wanghu Chen, Xiaoyan Liang, Jing Li, Hongwu Qin, Yuxiang Mu, Jianwu Wang:
Blockchain Based Provenance Sharing of Scientific Workflows. IEEE BigData 2018: 3814-3820 - 2017
- [c6]Wanghu Chen, Xintian Li, Jing Li, Jianwu Wang:
Enhancing the MapReduce training of BP neural networks based on local weight matrix evolution. IEEE BigData 2017: 2829-2835 - 2014
- [c5]Wanghu Chen, Ilkay Altintas, Jianwu Wang, Jing Li:
Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud. SERVICES 2014: 378-384 - 2012
- [c4]Wanghu Chen, Jing Li:
Agile Services Oriented Virtualization of Web Services. TASE 2012: 153-160 - [c3]Wanghu Chen, Jing Li, Ji Zhang:
An Approach to Service Adaptation for Exploratory Application Construction. ANT/MobiWIS 2012: 909-914
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