STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. - Tingting Wu; Xiao Ding; Minji Tang; Hao Zhang 016; Bing Qin 001; Ting Liu 001 (EMNLP, 2022)

NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. - Tingting Wu; Xiao Ding; Minji Tang; Hao Zhang 016; Bing Qin 001; Ting Liu 001 (ACL (Findings), 2023)

Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement. - Tingting Wu; Xiao Ding; Hao Zhang 016; Minji Tang; Bing Qin 001; Ting Liu 001 (Neural Networks, 2024)

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. - Tingting Wu; Xiao Ding; Hao Zhang 016; Jinglong Gao; Minji Tang; Li Du; Bing Qin 001; Ting Liu 001 (IEEE Trans. Multim., 2024)