Findings of the 2023 ML-Superb Challenge: Pre-Training And Evaluation Over More Languages And Beyond. - Jiatong Shi; William Chen; Dan Berrebbi; Hsiu-Hsuan Wang; Wei-Ping Huang; En-Pei Hu; Ho-Lam Chuang; Xuankai Chang; Yuxun Tang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-Yi Lee; et al. (ASRU, 2023)

CLCIFAR: CIFAR-Derived Benchmark Datasets with Human Annotated Complementary Labels. - Hsiu-Hsuan Wang; Wei-I Lin; Hsuan-Tien Lin (CoRR, 2023)

Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond. - Jiatong Shi; William Chen; Dan Berrebbi; Hsiu-Hsuan Wang; Wei-Ping Huang; En-Pei Hu; Ho-Lam Chung; Xuankai Chang; Yuxun Tang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-yi Lee; et al. (CoRR, 2023)

Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. - Haibin Wu; Ho-Lam Chung; Yi-Cheng Lin; Yuan-Kuei Wu; Xuanjun Chen; Yu-Chi Pai; Hsiu-Hsuan Wang; Kai-Wei Chang; Alexander H. Liu; Hung-yi Lee (ACL (Findings), 2024)

Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study. - Xuankai Chang; Brian Yan; Kwanghee Choi; Jee-Weon Jung; Yichen Lu; Soumi Maiti; Roshan S. Sharma; Jiatong Shi; Jinchuan Tian; Shinji Watanabe 001; Yuya Fujita; Takashi Maekaku; et al. (ICASSP, 2024)

Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model. - Yu-Kuan Fu; Cheng-Kuang Lee; Hsiu-Hsuan Wang; Hung-yi Lee (CoRR, 2024)

Building a Taiwanese Mandarin Spoken Language Model: A First Attempt. - Chih-Kai Yang; Yu-Kuan Fu; Chen-An Li; Yi-Cheng Lin; Yu-Xiang Lin; Wei-Chih Chen; Ho-Lam Chung; Chun-Yi Kuan; Wei-Ping Huang; Ke-Han Lu; Tzu-Quan Lin; Hsiu-Hsuan Wang; et al. (CoRR, 2024)

libcll: an Extendable Python Toolkit for Complementary-Label Learning. - Nai-Xuan Ye; Tan-Ha Mai; Hsiu-Hsuan Wang; Wei-I Lin; Hsuan-Tien Lin (CoRR, 2024)

CLImage: Human-Annotated Datasets for Complementary-Label Learning. - Hsiu-Hsuan Wang; Tan-Ha Mai; Nai-Xuan Ye; Wei-I Lin; Hsuan-Tien Lin (Trans. Mach. Learn. Res., 2025)