Wanghu Chen

According to our database, Wanghu Chen authored at least 26 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

GCN- and GRU-Based Intelligent Model for Temperature Prediction of Local Heating Surfaces.

Wanghu Chen, Chenhan Zhai, Xin Wang, Jing Li, Pengbo Lv, Chen Liu

IEEE Trans. Ind. Informatics, April, 2023

GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization.

Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, Jianguo Wang

CoRR, 2023

Enhanced Segmentation of PV Arrays in Infrared Images using an Improved SegFormer Approach.

Wanghu Chen, Shengfang Jin, Yihua Luo, Jing Li

Proceedings of the IEEE International Conference on Big Data, 2023

Anomaly detection method combining sample subspace distribution and generative models.

Mengyang Shen, Wanghu Chen, Jing Li

Proceedings of the 6th International Conference on Algorithms, 2023

2022

Outlier Detection Based on Stacked Autoencoder and Gaussian Mixture Model.

Jing Li, Pengbo Lv, Huijun Li, Wanghu Chen

Proceedings of the IEEE International Conference on Big Data, 2022

Psychological Attention-based Analytics of Multivariate Campus Behaviors of University Students.

Wanghu Chen, Jilong Yao, Yang Liu, Jing Li, Yan Sun, Chunyu Pang

Proceedings of the IEEE International Conference on Big Data, 2022

Pavement Condition Detection Method Based on Time-Frequency Features and Capsule Neural Network.

Wanghu Chen, Pengbo Lv, Jing Li, Xiao Ma

Proceedings of the IEEE International Conference on Big Data, 2022

Anomaly detection of high-dimensional data based on Ensemble GANs with Dropout.

Wanghu Chen, Jilong Yao, Meilin Zhou, Jing Li, Mengyang Shen

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

2021

A new parameter reduction algorithm for soft sets based on chi-square test.

Hongwu Qin, Qinghua Fei, Xiuqin Ma, Wanghu Chen

Appl. Intell., 2021

A new efficient decision making algorithm based on interval-valued fuzzy soft set.

Xiuqin Ma, Qinghua Fei, Hongwu Qin, Huifang Li, Wanghu Chen

Appl. Intell., 2021

An Approach to Objective Optimization of High-dimensional Data.

Chenhan Zhai, Wanghu Chen, Meilin Zhou, Pengbo Lv, Yan Sun, Ali Arshad

Proceedings of the ICCBDC 2021: 5th International Conference on Cloud and Big Data Computing, Liverpool, United Kingdom, August 13, 2021

Anomaly detection of high-dimensional sparse data based on Ensemble Generative Adversarial Networks.

Wanghu Chen, Meilin Zhou, Chenhan Zhai, Mengyang Shen, Pengbo Lv, Ali Arshad

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Spatio-temporal Clustering based on HHT and Its Applications in Thermal Boiler Controlling.

Wanghu Chen, Yan Sun, Jing Li, Chenhan Zhai, Pengbo Lv, Shengfang Jin

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Similarity Analysis of Learning Interests among Majors Using Complex Networks.

Qiang Zhang, Xujuan Zhang, Linli Gong, Zhigang Li, Qingqing Zhang, Wanghu Chen

Inf., 2020

An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks.

Wanghu Chen, Bo Yang, Jing Li, Jianwu Wang

IEEE Access, 2020

Autoencoder-based outlier detection for sparse, high dimensional data.

Wanghu Chen, Huijun Li, Jing Li, Ali Arshad

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Training Back Propagation Neural Networks in MapReduce on High-Dimensional Big Datasets With Global Evolution.

Wanghu Chen, Jing Li, Xintian Li, Lizhi Zhang, Jianwu Wang

IEEE Access, 2019

Interpolation-based k-means Clustering Improvement for Sparse, High Dimensional Data.

Wanghu Chen, Zhen Tian

Proceedings of the 2019 3rd International Conference on Cloud and Big Data Computing, 2019

Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches.

Wanghu Chen, Chao Wang, Jing Li, Bo Yang, Yang Liu, Jianwu Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Blockchain Based Provenance Sharing of Scientific Workflows.

Wanghu Chen, Xiaoyan Liang, Jing Li, Hongwu Qin, Yuxiang Mu, Jianwu Wang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Enhancing the MapReduce training of BP neural networks based on local weight matrix evolution.

Wanghu Chen, Xintian Li, Jing Li, Jianwu Wang

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2014

Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud.

Wanghu Chen, Ilkay Altintas, Jianwu Wang, Jing Li

Proceedings of the 2014 IEEE World Congress on Services, 2014

2012

An Approach to Service Adaptation for Exploratory Application Construction.

Wanghu Chen, Jing Li, Ji Zhang

Proceedings of the 3rd International Conference on Ambient Systems, 2012

Agile Services Oriented Virtualization of Web Services.

Wanghu Chen, Jing Li

Proceedings of the Sixth International Symposium on Theoretical Aspects of Software Engineering, 2012

2008

Business-Oriented Virtualization of Web Services A Case Study.

Yanbo Han, Peng Zhang, Wanghu Chen, Cheng Zhang, Jing Wang

Proceedings of the Fourth IEEE International Symposium on Service-Oriented System Engineering, 2008

2007

ASM-TL: an Abstract Service Model Enabling Adaptive Matchmaking.

Wanghu Chen, Yanbo Han, Chen Liu, Jing Wang, Shuying Yan

Proceedings of ICEBE 2007, 2007