Open-Set Short Utterance Forensic Speaker Verification Using Teacher-Student Network with Explicit Inductive Bias. - Mufan Sang; Wei Xia; John H. L. Hansen (INTERSPEECH, 2020)

DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning. - Mufan Sang; Wei Xia; John H. L. Hansen (ICASSP, 2021)

Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization. - Mufan Sang; Haoqi Li; Fang Liu; Andrew O. Arnold; Li Wan (ICASSP, 2022)

Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning. - Mufan Sang; John H. L. Hansen (INTERSPEECH, 2022)

Improving Transformer-Based Networks with Locality for Automatic Speaker Verification. - Mufan Sang; Yong Zhao 008; Gang Liu 001; John H. L. Hansen; Jian Wu 027 (ICASSP, 2023)

Efficient Adapter Tuning of Pre-Trained Speech Models for Automatic Speaker Verification. - Mufan Sang; John H. L. Hansen (ICASSP, 2024)

UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification. - Mufan Sang; John H. L. Hansen (CoRR, 2025)