SO-softmax loss for discriminable embedding learning in CNNs. - Qiang Zhang 054; Jibin Yang; Xiongwei Zhang; Tieyong Cao (Pattern Recognit., 2022)

A transformer-based deep learning approach for recognition of forgery methods in spoofing speech attribution. - Qiang Zhang 054; Xiongwei Zhang; Meng Sun 001; Jibin Yang (Appl. Soft Comput., 2025)

Introducing Euclidean distance optimization into Softmax loss under neural collapse. - Qiang Zhang 054; Xiongwei Zhang; Jibin Yang; Meng Sun 001; Tieyong Cao (Pattern Recognit., 2025)

A Soft-Contrastive Pseudo Learning Approach Toward Open-World Forged Speech Attribution. - Qiang Zhang 054; Xiongwei Zhang; Meng Sun 001; Jibin Yang (IEEE Trans. Inf. Forensics Secur., 2025)