A turbo codes optimization method using particle swarm algorithm. - Jing An 001; Qi Kang; Lei Wang 006; Qidi Wu (IJCNN, 2008)

Swarm-based optimal power flow considering generator fault in distribution systems. - Qi Kang; Tian Lan; Yong Yan; Jing An 001; Lei Wang 006 (SMC, 2011)

Unification and Diversity of Computation Models for Generalized Swarm Intelligence. - Qi Kang; Jing An 001; Lei Wang 006; Qidi Wu (Int. J. Artif. Intell. Tools, 2012)

Population-based dynamic scheduling optimisation for complex production process. - Jing An 001; Qi Kang; Lei Wang 006; Qidi Wu (Int. J. Comput. Appl. Technol., 2012)

PSO-based method to find electric vehicle's optimal charging schedule under dynamic electricity price. - Jing An 001; BingYao Huang; Qi Kang; MengChu Zhou (ICNSC, 2013)

Mussels Wandering Optimization: An Ecologically Inspired Algorithm for Global Optimization. - Jing An 001; Qi Kang; Lei Wang 006; Qidi Wu (Cogn. Comput., 2013)

Sitting and sizing of aggregator controlled park for plug-in hybrid electric vehicle based on particle swarm optimization. - Tian Lan; Qi Kang; Jing An 001; Wei Yan; Lei Wang 006 (Neural Comput. Appl., 2013)

Swarm Intelligence Approaches to Optimal Power Flow Problem With Distributed Generator Failures in Power Networks. - Qi Kang; MengChu Zhou; Jing An 001; Qidi Wu (IEEE Trans Autom. Sci. Eng., 2013)

A weight-incorporated similarity-based clustering ensemble method. - ShiYao Liu; Qi Kang; Jing An 001; MengChu Zhou (ICNSC, 2014)

Kernel optimisation for KPCA based on Gaussianity estimation. - Qi Kang; Kang Wang; BingYao Huang; Jing An 001 (Int. J. Bio Inspired Comput., 2014)

A weight-aggregation multi-objective PSO algorithm for load scheduling of PHEVs. - ShuWei Feng; Qi Kang; Xiaoshuang Chen; MengChu Zhou; Sisi Li; Jing An 001 (CEC, 2016)

Drifted Twitter Spam Classification Using Multiscale Detection Test on K-L Divergence. - XueSong Wang 002; Qi Kang; Jing An 001; Mengchu Zhou (IEEE Access, 2019)

Demand-Side Management Optimization in Electric Vehicles Battery Swapping Service. - Liang Zhang 034; Sihang Zhou 002; Jing An 001; Qi Kang (IEEE Access, 2019)

Imbalance Classification Based on Deep Learning and Fuzzy Support Vector Machine. - Kefan Wang; Jing An 001; Xianghua Ma; Chao Ma; Hanqiu Bao 001 (BIC-TA (2), 2021)

Kernel local outlier factor-based fuzzy support vector machine for imbalanced classification. - Kefan Wang; Jing An 001; ZiBo Yu; Xingshu Yin; Chao Ma (Concurr. Comput. Pract. Exp., 2021)

Dense short connection network for efficient image classification. - Zhenkun Yang; Xianghua Ma; Kefan Wang; Jing An 001 (Concurr. Comput. Pract. Exp., 2021)

Conditional pre-trained attention based Chinese question generation. - Liang Zhang 034; Ligang Fang; Zheng Fan; Wei Li 046; Jing An 001 (Concurr. Comput. Pract. Exp., 2021)

PSO-based optimal online operation strategy for multiple chillers energy conservation. - Jing An 001; Luyuan Xu; Zheng Fan; Kefan Wang; Qi Deng; Qi Kang (Int. J. Bio Inspired Comput., 2021)

A Kernel Propagation-Based Graph Convolutional Network Imbalanced Node Classification Model on Graph Data. - Xiang-En Bai; Jing An 001; Zi-Bo Yu; HanQiu Bao 001; Kefan Wang (ICNSC, 2022)

Generic Multi-agent Cooperative Control via Finite-time Distributed MPC. - HanQiu Bao 001; XuDong Shi 001; Jing An 001; HaoJun Li; Qi Kang (ICNSC, 2022)

Attention and Cost-Sensitive Graph Neural Network for Imbalanced Node Classification. - Chao Ma; Jing An 001; Xiang-En Bai; HanQiu Bao 001 (ICNSC, 2022)

Effective-aggregation Graph Convolutional Network for Imbalanced Classification. - Kefan Wang; Jing An 001; Qi Kang (ICNSC, 2022)

Attention virtual adversarial based semi-supervised question generation. - Jing An 001; Kefan Wang; Hui Sun; Can Cui; Wei Li 046; Chao Ma (Concurr. Comput. Pract. Exp., 2022)

Novel L1 Regularized Extreme Learning Machine for Soft-Sensing of an Industrial Process. - XuDong Shi 001; Qi Kang; Jing An 001; MengChu Zhou (IEEE Trans. Ind. Informatics, 2022)

Minority-Weighted Graph Neural Network for Imbalanced Node Classification in Social Networks of Internet of People. - Kefan Wang; Jing An 001; Mengchu Zhou; Zhe Shi; Xudong Shi 001; Qi Kang (IEEE Internet Things J., 2023)

Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization. - Qi Deng; Qi Kang; Liang Zhang 034; MengChu Zhou; Jing An 001 (IEEE Trans. Evol. Comput., 2023)

Moment-Based Model Predictive Control of Autonomous Systems. - HanQiu Bao 001; Qi Kang; Xudong Shi 001; MengChu Zhou; HaoJun Li; Jing An 001; Khaled Sedraoui (IEEE Trans. Intell. Veh., 2023)

A New Deep Learning Model for Semi-supervised Soft-sensing of an Industrial Production Process. - Xudong Shi 001; Chenyu Tian; Qi Kang; MengChu Zhou; Hanqiu Bao 001; Jing An 001 (CASE, 2024)

Single-Step and Multi-Step Prediction for Dissolved Oxygen of Huangpu River Based on Feature Engineering and the BiGRU-Attention-TCN Model. - Zijian Wang; Jing An 001; Kezhu Wang; Kefan Wang (ICNSC, 2024)

An Improved Attention-based BiLSTM for PM2.5 Prediction in Air Environment. - Kezhu Wang; Jing An 001; Zijian Wang; Kefan Wang (ICNSC, 2024)

Robust Learning-Based Model Predictive Control for Intelligent Vehicles With Unknown Dynamics and Unbounded Disturbances. - HanQiu Bao 001; Qi Kang; Xudong Shi 001; Lingfei Xiao; Jing An 001 (IEEE Trans. Intell. Veh., 2024)

Principal Component-Based Semi-Supervised Extreme Learning Machine for Soft Sensing. - Xudong Shi 001; Qi Kang; Hanqiu Bao 001; Wangya Huang; Jing An 001 (IEEE Trans Autom. Sci. Eng., 2024)

Value Approximator-Based Learning Model Predictive Control for Iterative Tasks. - HanQiu Bao 001; Qi Kang; XuDong Shi 001; MengChu Zhou; Jing An 001; Yusuf Al-Turki 001 (IEEE Trans. Autom. Control., 2024)

Dual Attention-Aided Cooperative Deep-Spatiotemporal-Feature-Extraction Network for Semi-Supervised Soft Sensing. - Xudong Shi 001; Qi Kang; MengChu Zhou; Hanqiu Bao 001; Jing An 001; Abdullah Abusorrah; Kefan Wang; Yusuf Al-Turki 001 (IEEE Robotics Autom. Lett., 2025)