Publications

Publications:

1. Granular Ball Twin Support Vector Machines with Universum Data (GBU-TSVM)
   Under review at the Knowledge-Based Systems Journal. Proposes a novel classification model combining TSVM with Universum data and granular balls, achieving up to 16x speed improvement and enhanced efficiency without accuracy loss.

2. Granular Ball K-Class Twin Support Vector Classifier (GB-TWKSVC)
   Under review. Introduces the first K-class classifier in granular ball computing research, integrating TWSVM with granular ball representation for enhanced accuracy and efficiency in large-scale and noisy datasets.

Peer-Reviewed:

1. Sole Reviewer: Deep Learning Algorithm: A Study of Students’ Performance Change in Ideological and Political Courses Under a Hybrid Teaching Mode by Xuejiao Li, Systems and Soft Computing Journal.