ASM-TL: an Abstract Service Model Enabling Adaptive Matchmaking. - Wanghu Chen; Yanbo Han; Chen Liu 007; Jing Wang 002; Shuying Yan (ICEBE, 2007)

Business-Oriented Virtualization of Web Services A Case Study. - Yanbo Han; Peng Zhang 022; Wanghu Chen; Cheng Zhang 003; Jing Wang 002 (SOSE, 2008)

Agile Services Oriented Virtualization of Web Services. - Wanghu Chen; Jing Li (TASE, 2012)

An Approach to Service Adaptation for Exploratory Application Construction. - Wanghu Chen; Jing Li; Ji Zhang (ANT/MobiWIS, 2012)

Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud. - Wanghu Chen; Ilkay Altintas; Jianwu Wang 001; Jing Li (SERVICES, 2014)

Enhancing the MapReduce training of BP neural networks based on local weight matrix evolution. - Wanghu Chen; Xintian Li; Jing Li; Jianwu Wang 001 (IEEE BigData, 2017)

Blockchain Based Provenance Sharing of Scientific Workflows. - Wanghu Chen; Xiaoyan Liang; Jing Li; Hongwu Qin; Yuxiang Mu; Jianwu Wang 001 (IEEE BigData, 2018)

Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches. - Wanghu Chen; Chao Wang; Jing Li; Bo Yang 043; Yang Liu; Jianwu Wang 001 (IEEE BigData, 2019)

Interpolation-based k-means Clustering Improvement for Sparse, High Dimensional Data. - Wanghu Chen; Zhen Tian (ICCBDC, 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 001 (IEEE Access, 2019)

Autoencoder-based outlier detection for sparse, high dimensional data. - Wanghu Chen; Huijun Li; Jing Li; Ali Arshad (IEEE BigData, 2020)

An Approach to Detecting Diabetic Retinopathy Based on Integrated Shallow Convolutional Neural Networks. - Wanghu Chen; Bo Yang 043; Jing Li; Jianwu Wang 001 (IEEE Access, 2020)

Similarity Analysis of Learning Interests among Majors Using Complex Networks. - Qiang Zhang 049; Xujuan Zhang; Linli Gong; Zhigang Li; Qingqing Zhang; Wanghu Chen (Inf., 2020)

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 (IEEE BigData, 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 (IEEE BigData, 2021)

An Approach to Objective Optimization of High-dimensional Data. - Chenhan Zhai; Wanghu Chen; Meilin Zhou; Pengbo Lv; Yan Sun; Ali Arshad (ICCBDC, 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)

A new parameter reduction algorithm for soft sets based on chi-square test. - Hongwu Qin; Qinghua Fei; Xiuqin Ma; Wanghu Chen (Appl. Intell., 2021)

Anomaly detection of high-dimensional data based on Ensemble GANs with Dropout. - Wanghu Chen; Jilong Yao; Meilin Zhou; Jing Li; Mengyang Shen (BDCAT, 2022)

Pavement Condition Detection Method Based on Time-Frequency Features and Capsule Neural Network. - Wanghu Chen; Pengbo Lv; Jing Li; Xiao Ma (IEEE 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 (IEEE Big Data, 2022)

Outlier Detection Based on Stacked Autoencoder and Gaussian Mixture Model. - Jing Li; Pengbo Lv; Huijun Li; Wanghu Chen (IEEE Big Data, 2022)

Anomaly detection method combining sample subspace distribution and generative models. - Mengyang Shen; Wanghu Chen; Jing Li 131 (ACAI, 2023)

Enhanced Segmentation of PV Arrays in Infrared Images using an Improved SegFormer Approach. - Wanghu Chen; Shengfang Jin; Yihua Luo; Jing Li (IEEE Big Data, 2023)

GCN- and GRU-Based Intelligent Model for Temperature Prediction of Local Heating Surfaces. - Wanghu Chen; Chenhan Zhai; Xin Wang 122; Jing Li 064; Pengbo Lv; Chen Liu 017 (IEEE Trans. Ind. Informatics, 2023)

Clustering of Students' Behavior Using the GPT-2 Module Based on the Macroscopic Attention Model. - Wanghu Chen; Qi Fan; Siqi Zeng 002; Jing Li (IEEE Big Data, 2024)

PV-DETR: A Multimodal Fault Detection Model of PV Arrays based on Parallel Block Attention. - Wanghu Chen; Yihua Luo; Long Li; Jing Li (IEEE Big Data, 2024)

A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System. - Jiale Lao; Yibo Wang; Yufei Li; Jianping Wang; Yunjia Zhang; Zhiyuan Cheng 010; Wanghu Chen; Yuanchun Zhou; Mingjie Tang; Jianguo Wang 001 (SIGMOD Conference Companion, 2024)

GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization. - Jiale Lao; Yibo Wang; Yufei Li; Jianping Wang; Yunjia Zhang; Zhiyuan Cheng 010; Wanghu Chen; Mingjie Tang; Jianguo Wang 001 (Proc. VLDB Endow., 2024)

Multimodal selective state space model-based time series classification for electricity theft detection. - Wanghu Chen; Long Li 019; Jing Li 131 (Expert Syst. Appl., 2025)

GPTuner: An LLM-Based Database Tuning System. - Jiale Lao; Yibo Wang; Yufei Li; Jianping Wang; Yunjia Zhang; Zhiyuan Cheng 010; Wanghu Chen; Mingjie Tang; Jianguo Wang 001 (SIGMOD Rec., 2025)