R2CEDM: A Rete-Based RFID Complex Event Detection Method. - Xiaoli Peng; Linjiang Zheng; Ting Liao (DMBD, 2017)

Application of modified beetle antennae search algorithm and BP power flow prediction model on multi-objective optimal active power dispatch. - Jie Qian; Ping Wang 008; Chenggen Pu; Xiaoli Peng; Gonggui Chen (Appl. Soft Comput., 2021)

Fast Attribute Reduction for Big Datasets Based on Neighborhood Rough Set. - Cheng Wang 003; Yabin Shao; Xiaoli Peng; Shuyin Xia; Weiqi Chen (FSDM, 2022)

GBSVM: Granular-ball Support Vector Machine. - Shuyin Xia; Guoyin Wang 001; Xinbo Gao 001; Xiaoli Peng (CoRR, 2022)

VPGB: A granular-ball based model for attribute reduction and classification with label noise. - Xiaoli Peng; Ping Wang 008; Shuyin Xia; Cheng Wang 003; Weiqi Chen (Inf. Sci., 2022)

FNC: A fast neighborhood calculation framework. - Xiaoli Peng; Ping Wang 008; Shuyin Xia; Cheng Wang 003; Chenggen Pu; Jie Qian (Knowl. Based Syst., 2022)

An Adaptive Granular Ball Classifier Based on Natural Neighbor. - Chen Li; Yabin Shao; Shuyin Xia; Cheng Wang 003; Tian Xia 010; Xiaoli Peng (ICMAI, 2023)

FWNRS: A Fast Attribute Reduction Algorithm based on Weighted Neighborhood Rough Set. - Xiaoli Peng; Ping Wang 008; Yabin Shao; Chenggen Pu; Jie Qian (ICMAI, 2023)

Application of effective gravitational search algorithm with constraint priority and expert experience in optimal allocation problems of distribution network. - Jie Qian; Ping Wang 008; Chenggen Pu; Xiaoli Peng; Gonggui Chen (Eng. Appl. Artif. Intell., 2023)

Fast fixed granular-ball for attribute reduction in label noise environments and its application in medical diagnosis. - Xiaoli Peng; Ping Wang 008; Yabin Shao; Yuanlin Gong; Jie Qian (Int. J. Mach. Learn. Cybern., 2024)

A novel covering rough set model based on granular-ball computing for data with label noise. - Xiaoli Peng; Yuanlin Gong; Xiang Hou; Zhan Tang; Yabin Shao (Int. J. Approx. Reason., 2025)

GBSVM: An Efficient and Robust Support Vector Machine Framework via Granular-Ball Computing. - Shuyin Xia; Xiaoyu Lian; Guoyin Wang 001; Xinbo Gao 001; Jiancu Chen; Xiaoli Peng (IEEE Trans. Neural Networks Learn. Syst., 2025)