Wanghu Chen

34 papers B 7C 1Misc 1Journal 12Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ec-tfs: incorporating extended capsule networks and time-frequency spectrum into time series classification.
Int. J. Data Sci. Anal.
Wanghu Chen, Wencheng Zhang, Yubo Wang, Jing Li, Hongle Guo
2026 J jnl
WaveState: A parallel selective state-space attention model with class-adaptive time-frequency features for multivariate time series classification.
Knowl. Based Syst.
Long Li, Wanghu Chen, Jing Li
2025 J jnl
GPTuner: An LLM-Based Database Tuning System.
SIGMOD Rec.
Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, Jianguo Wang
2025 J jnl
Multimodal selective state space model-based time series classification for electricity theft detection.
Expert Syst. Appl.
Wanghu Chen, Long Li, Jing Li
2024 — conf
A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System.
SIGMOD Conference Companion
Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Yuanchun Zhou, Mingjie Tang, Jianguo Wang
2024 B conf
Clustering of Students' Behavior Using the GPT-2 Module Based on the Macroscopic Attention Model.
IEEE Big Data
Wanghu Chen, Qi Fan, Siqi Zeng, Jing Li
2024 J jnl
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization.
Proc. VLDB Endow.
Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, Jianguo Wang
2024 B conf
PV-DETR: A Multimodal Fault Detection Model of PV Arrays based on Parallel Block Attention.
IEEE Big Data
Wanghu Chen, YiHua Luo, Long Li, Jing Li
2023 — conf
Anomaly detection method combining sample subspace distribution and generative models.
ACAI
Mengyang Shen, Wanghu Chen, Jing Li
2023 B conf
Enhanced Segmentation of PV Arrays in Infrared Images using an Improved SegFormer Approach.
IEEE Big Data
Wanghu Chen, Shengfang Jin, YiHua Luo, Jing Li
2023 J jnl
GCN- and GRU-Based Intelligent Model for Temperature Prediction of Local Heating Surfaces.
IEEE Trans. Ind. Informatics
Wanghu Chen, Chenhan Zhai, Xin Wang, Jing Li, Pengbo Lv, Chen Liu
2023 J jnl
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization.
CoRR
Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, Jianguo Wang
2022 C conf
Anomaly detection of high-dimensional data based on Ensemble GANs with Dropout.
BDCAT
Wanghu Chen, Jilong Yao, Meilin Zhou, Jing Li, Mengyang Shen
2022 B conf
Outlier Detection Based on Stacked Autoencoder and Gaussian Mixture Model.
IEEE Big Data
Jing Li, Pengbo Lv, Huijun Li, Wanghu Chen
2022 B conf
Pavement Condition Detection Method Based on Time-Frequency Features and Capsule Neural Network.
IEEE Big Data
Wanghu Chen, Pengbo Lv, Jing Li, Xiao Ma
2022 B conf
Psychological Attention-based Analytics of Multivariate Campus Behaviors of University Students.
IEEE Big Data
Wanghu Chen, Jilong Yao, Yang Liu, Jing Li, Yan Sun, Chunyu Pang
2021 J jnl
A new efficient decision making algorithm based on interval-valued fuzzy soft set.
Appl. Intell.
Xiuqin Ma, Qinghua Fei, Hongwu Qin, Huifang Li, Wanghu Chen
2021 J jnl
A new parameter reduction algorithm for soft sets based on chi-square test.
Appl. Intell.
Hongwu Qin, Qinghua Fei, Xiuqin Ma, Wanghu Chen
2021 — conf
An Approach to Objective Optimization of High-dimensional Data.
ICCBDC
Chenhan Zhai, Wanghu Chen, Meilin Zhou, Pengbo Lv, Yan Sun, Ali Arshad
2021 — conf
Anomaly detection of high-dimensional sparse data based on Ensemble Generative Adversarial Networks.
IEEE BigData
Wanghu Chen, Meilin Zhou, Chenhan Zhai, Mengyang Shen, Pengbo Lv, Ali Arshad
2021 — conf
Spatio-temporal Clustering based on HHT and Its Applications in Thermal Boiler Controlling.
IEEE BigData
Wanghu Chen, Yan Sun, Jing Li, Chenhan Zhai, Pengbo Lv, Shengfang Jin
2020 J jnl
An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks.
IEEE Access
Wanghu Chen, Bo Yang, Jing Li, Jianwu Wang
2020 — conf
Autoencoder-based outlier detection for sparse, high dimensional data.
IEEE BigData
Wanghu Chen, Huijun Li, Jing Li, Ali Arshad
2020 J jnl
Similarity Analysis of Learning Interests among Majors Using Complex Networks.
Inf.
Qiang Zhang, Xujuan Zhang, Linli Gong, Zhigang Li, Qingqing Zhang, Wanghu Chen
2019 — conf
Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches.
IEEE BigData
Wanghu Chen, Chao Wang, Jing Li, Bo Yang, Yang Liu, Jianwu Wang
2019 — conf
Interpolation-based k-means Clustering Improvement for Sparse, High Dimensional Data.
ICCBDC
Wanghu Chen, Zhen Tian
2019 J jnl
Training Back Propagation Neural Networks in MapReduce on High-Dimensional Big Datasets With Global Evolution.
IEEE Access
Wanghu Chen, Jing Li, Xintian Li, Lizhi Zhang, Jianwu Wang
2018 — conf
Blockchain Based Provenance Sharing of Scientific Workflows.
IEEE BigData
Wanghu Chen, Xiaoyan Liang, Jing Li, Hongwu Qin, Yuxiang Mu, Jianwu Wang
2017 — conf
Enhancing the MapReduce training of BP neural networks based on local weight matrix evolution.
IEEE BigData
Wanghu Chen, Xintian Li, Jing Li, Jianwu Wang
2014 B conf
Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud.
SERVICES
Wanghu Chen, Ilkay Altintas, Jianwu Wang, Jing Li
2012 Misc conf
Agile Services Oriented Virtualization of Web Services.
TASE
Wanghu Chen, Jing Li
2012 — conf
An Approach to Service Adaptation for Exploratory Application Construction.
ANT/MobiWIS
Wanghu Chen, Jing Li, Ji Zhang
2008 — conf
Business-Oriented Virtualization of Web Services A Case Study.
SOSE
Yanbo Han, Peng Zhang, Wanghu Chen, Cheng Zhang, Jing Wang
2007 — conf
ASM-TL: an Abstract Service Model Enabling Adaptive Matchmaking.
ICEBE
Wanghu Chen, Yanbo Han, Chen Liu, Jing Wang, Shuying Yan