From SMOTE to Mixup for Deep Imbalanced Classification. - Wei-Chao Cheng; Tan-Ha Mai; Hsuan-Tien Lin (TAAI (1), 2023)

A Lightweight Transformer-Based Model for Fight Recognition. - To Huu Nguyen; Tan-Ha Mai; Duc-Quang Vu (FDSE (2), 2024)

A Pronunciation Practice System Based on Pre-trained Deep Learning Models. - Trang Phung; Viet Dung Vu; Tan-Ha Mai (FDSE (1), 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)

The Unexplored Potential of Vision-Language Models for Generating Large-Scale Complementary-Label Learning Data. - Tan-Ha Mai; Nai-Xuan Ye; Yu-Wei Kuan; Po-Yi Lu; Hsuan-Tien Lin (PAKDD (5), 2025)

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)