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Wanghu Chen
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2020 – today
- 2024
- [j7]Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, Jianguo Wang:
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization. Proc. VLDB Endow. 17(8): 1939-1952 (2024) - [c20]Jiale Lao
, Yibo Wang
, Yufei Li
, Jianping Wang
, Yunjia Zhang
, Zhiyuan Cheng
, Wanghu Chen
, Yuanchun Zhou
, Mingjie Tang
, Jianguo Wang
:
A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System. SIGMOD Conference Companion 2024: 504-507 - 2023
- [j6]Wanghu Chen
, Chenhan Zhai
, Xin Wang
, Jing Li, Pengbo Lv, Chen Liu:
GCN- and GRU-Based Intelligent Model for Temperature Prediction of Local Heating Surfaces. IEEE Trans. Ind. Informatics 19(4): 5517-5529 (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 - [i1]Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, Jianguo Wang:
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization. CoRR abs/2311.03157 (2023) - 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
- [j5]Xiuqin Ma
, Qinghua Fei, Hongwu Qin, Huifang Li, Wanghu Chen:
A new efficient decision making algorithm based on interval-valued fuzzy soft set. Appl. Intell. 51(6): 3226-3240 (2021) - [j4]Hongwu Qin, Qinghua Fei, Xiuqin Ma
, Wanghu Chen:
A new parameter reduction algorithm for soft sets based on chi-square test. Appl. Intell. 51(11): 7960-7972 (2021) - [c13]Wanghu Chen, Meilin Zhou, Chenhan Zhai, Mengyang Shen, Pengbo Lv, Ali Arshad:
Anomaly detection of high-dimensional sparse data based on Ensemble Generative Adversarial Networks. IEEE BigData 2021: 3042-3049 - [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 - [c11]Chenhan Zhai, Wanghu Chen, Meilin Zhou, Pengbo Lv, Yan Sun, Ali Arshad:
An Approach to Objective Optimization of High-dimensional Data. ICCBDC 2021: 26-33 - 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) - [j2]Qiang Zhang
, Xujuan Zhang, Linli Gong, Zhigang Li, Qingqing Zhang, Wanghu Chen:
Similarity Analysis of Learning Interests among Majors Using Complex Networks. Inf. 11(2): 94 (2020) - [c10]Wanghu Chen, Huijun Li, Jing Li, Ali Arshad:
Autoencoder-based outlier detection for sparse, high dimensional data. IEEE BigData 2020: 2735-2742
2010 – 2019
- 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 - [c8]Wanghu Chen, Zhen Tian:
Interpolation-based k-means Clustering Improvement for Sparse, High Dimensional Data. ICCBDC 2019: 11-15 - 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
2000 – 2009
- 2008
- [c2]Yanbo Han, Peng Zhang, Wanghu Chen, Cheng Zhang, Jing Wang:
Business-Oriented Virtualization of Web Services A Case Study. SOSE 2008: 275-280 - 2007
- [c1]Wanghu Chen, Yanbo Han, Chen Liu, Jing Wang, Shuying Yan:
ASM-TL: an Abstract Service Model Enabling Adaptive Matchmaking. ICEBE 2007: 559-562
Coauthor Index
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last updated on 2024-07-30 21:35 CEST by the dblp team
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