An effective scheduling algorithm for Linear Makespan Minimization on Unrelated Parallel Machines. - Liya Fan; Fa Zhang 001; Gongming Wang; Zhiyong Liu 002 (HiPC, 2009)

A framework to refine particle clusters produced by EMAN. - Liya Fan; Fa Zhang 001; Gongming Wang; Zhiyong Liu 002 (Bioinform., 2009)

A Self-adaptive Greedy Scheduling Scheme for a Multi-Objective Optimization on Identical Parallel Machines. - Liya Fan; Fa Zhang 001; Gongming Wang; Bo Yuan; Zhiyong Liu 002 (Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2009)

A fast mapping method in the ISAF reconstruction algorithm. - Gongming Wang; Fa Zhang 001; Qi Chu 002; Fei Sun; Zhiyong Liu 002 (EMBC, 2011)

An Accelerated ISAF Algorithm with the Fast Mapping Strategy. - Gongming Wang; Fa Zhang 001; Fei Sun; Zhiyong Liu 002 (J. Comput., 2012)

An effective approximation algorithm for the Malleable Parallel Task Scheduling problem. - Liya Fan; Fa Zhang 001; Gongming Wang; Zhiyong Liu 002 (J. Parallel Distributed Comput., 2012)

A fast calculation strategy of density function in ISAF reconstruction algorithm. - Gongming Wang; Fa Zhang 001; Qi Chu 002; Liya Fan; Fei Sun; Zhiyong Liu 002 (Sci. China Inf. Sci., 2013)

Clustering algorithm for audio signals based on the sequential Psim matrix and Tabu Search. - Wenfa Li; Gongming Wang; Ke Li (EURASIP J. Audio Speech Music. Process., 2017)

A Clustering Algorithm of High-Dimensional Data Based on Sequential Psim Matrix and Differential Truncation. - Gongming Wang; Wenfa Li; Weizhi Xu 001 (ICA3PP (2), 2018)

A self-organizing deep belief network for nonlinear system modeling. - Junfei Qiao 001; Gongming Wang; Xiaoli Li 011; Wenjing Li 004 (Appl. Soft Comput., 2018)

An adaptive deep Q-learning strategy for handwritten digit recognition. - Junfei Qiao 001; Gongming Wang; Wenjing Li 004; Min Chen (Neural Networks, 2018)

A deep belief network with PLSR for nonlinear system modeling. - Junfei Qiao 001; Gongming Wang; Wenjing Li 004; Xiaoli Li 011 (Neural Networks, 2018)

An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling. - Gongming Wang; Junfei Qiao 001; Jing Bi 001; Mengchu Zhou (SMC, 2019)

Stance Detection of Microblog Text Based on Two-Channel CNN-GRU Fusion Network. - Wenfa Li; Yilong Xu; Gongming Wang (IEEE Access, 2019)

TL-GDBN: Growing Deep Belief Network With Transfer Learning. - Gongming Wang; Junfei Qiao 001; Jing Bi 001; Wenjing Li 004; MengChu Zhou (IEEE Trans Autom. Sci. Eng., 2019)

A sparse deep belief network with efficient fuzzy learning framework. - Gongming Wang; Qing-Shan Jia; Junfei Qiao 001; Jing Bi 001; Caixia Liu (Neural Networks, 2020)

An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines. - Gongming Wang; Junfei Qiao 001; Jing Bi 001; Qing-Shan Jia; MengChu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2020)

A new object detection method for object deviating from center or multi object crowding. - Yubo Liang; Gongming Wang; Wenfa Li; Yuzhe He; Xiaoming Liang (Displays, 2021)

An effective deep recurrent network with high-order statistic information for fault monitoring in wastewater treatment process. - Chang Peng 001; Zeyu Li; Gongming Wang; Wang Pu (Expert Syst. Appl., 2021)

Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning. - Gongming Wang; Qing-Shan Jia; MengChu Zhou; Jing Bi 001; Junfei Qiao 001 (Neurocomputing, 2021)

An effective integrated control with intelligent optimization for wastewater treatment process. - Fei Li; Zhong Su; Gongming Wang (J. Ind. Inf. Integr., 2021)

PM2.5 concentration modeling and prediction by using temperature-based deep belief network. - Haixia Xing; Gongming Wang; Caixia Liu; Minghe Suo (Neural Networks, 2021)

Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System. - Gongming Wang; Qing-Shan Jia; Junfei Qiao 001; Jing Bi 001; MengChu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2021)

Efficient Real-Time EV Charging Scheduling via Ordinal Optimization. - Teng Long; Qing-Shan Jia; Gongming Wang; Yu Yang 008 (IEEE Trans. Smart Grid, 2021)

Artificial neural networks for water quality soft-sensing in wastewater treatment: a review. - Gongming Wang; Qing-Shan Jia; MengChu Zhou; Jing Bi 001; Junfei Qiao 001; Abdullah Abusorrah (Artif. Intell. Rev., 2022)

CrisprVi: a software for visualizing and analyzing CRISPR sequences of prokaryotes. - Lei Sun; Jinbiao Wang; Fu Yan; Gongming Wang; Yun Li 010; Jinlin Huang (BMC Bioinform., 2022)

How Deep Is Deep Enough for Deep Belief Network for Approximating Model Predictive Control Law. - Gongming Wang; Junfei Qiao 001; Caixia Liu; Zhaoxu Shen (IEEE Trans Autom. Sci. Eng., 2022)

An Efficient Self-Organizing Deep Fuzzy Neural Network for Nonlinear System Modeling. - Gongming Wang; Junfei Qiao 001 (IEEE Trans. Fuzzy Syst., 2022)

SimCH: simulation of single-cell RNA sequencing data by modeling cellular heterogeneity at gene expression level. - Lei Sun; Gongming Wang; Zhihua Zhang 007 (Briefings Bioinform., 2023)

Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process. - Gongming Wang; Jing Bi 001; Qing-Shan Jia; Junfei Qiao 001; Lei Wang 173 (IEEE Trans. Ind. Informatics, 2023)

Neurodynamics-Driven Prediction Model for State Evolution of Coastal Water Quality. - Gongming Wang; Hong Chen; Suling Jiang; Honggui Han; Junfei Qiao 001 (IEEE Trans. Instrum. Meas., 2024)

Data-Driven Robust Adaptive Control With Deep Learning for Wastewater Treatment Process. - Gongming Wang; Yidi Zhao; Caixia Liu; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Complexity-Based Structural Optimization of Deep Belief Network and Application in Wastewater Treatment Process. - Gongming Wang; Guanghui Yuan; Zhiqiang Hu; Yuanying Chi; Qing-Shan Jia; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

Predicting Water Quality With Nonstationarity: Event-Triggered Deep Fuzzy Neural Network. - Gongming Wang; Hong Chen; Honggui Han; Jing Bi 001; Junfei Qiao 001; Erfan Babaee Tirkolaee (IEEE Trans. Fuzzy Syst., 2024)

Development of an Automated Global Crash Prediction Model With Adaptive Feature Selection of Deep Neural Networks. - Guangyuan Pan; Gongming Wang; Hao Wei; Qili Chen; Ancai Zhang (IEEE Trans. Ind. Informatics, 2024)

Self-triggered neural tracking control for discrete-time nonlinear systems via adaptive critic learning. - Lingzhi Hu; Ding Wang 001; Gongming Wang; Junfei Qiao 001 (Neural Networks, 2025)

Attention-Based Spatiotemporal Graph Fusion Convolution Networks for Water Quality Prediction. - Junfei Qiao 001; Yongze Lin; Jing Bi 001; Haitao Yuan 001; Gongming Wang; MengChu Zhou (IEEE Trans Autom. Sci. Eng., 2025)

Neurodynamics-Driven Model Predictive Control With Soft-Measurement for Desulfurization System. - Gongming Wang; Xinyi Li; Ke Gu 001; Hong Chen; Honggui Han; Junfei Qiao 001 (IEEE Trans Autom. Sci. Eng., 2025)

A Feature Importance Analyzable Resilient Deep Neural Network for Road Safety Performance Function Surrogate Modeling. - Guangyuan Pan; Chunhao Liu; Gongming Wang; Hao Wei; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2025)