 Federated Learning from Pre-Trained Models: A Contrastive Learning
ApproachNeural Information Processing Systems (NeurIPS), 2022 |
 MSA-GCN:Multiscale Adaptive Graph Convolution Network for Gait Emotion
RecognitionPattern Recognition (Pattern Recogn.), 2022 |
 Detecting Corrupted Labels Without Training a Model to PredictInternational Conference on Machine Learning (ICML), 2021 |
 The Rich Get Richer: Disparate Impact of Semi-Supervised LearningInternational Conference on Learning Representations (ICLR), 2021 |
 A Framework using Contrastive Learning for Classification with Noisy
LabelsInternational Conference on Data Technologies and Applications (DATA), 2021 |
 Combating noisy labels by agreement: A joint training method with
co-regularizationComputer Vision and Pattern Recognition (CVPR), 2020 |
