PiCO: Contrastive label disambiguation for partial label learning H Wang, R Xiao, Y Li, L Feng, G Niu, G Chen, J Zhao International Conference on Learning Representations, 2022 | 124 | 2022 |
ProMix: Combating Label Noise via Maximizing Clean Sample Utility R Xiao, Y Dong, H Wang, L Feng, R Wu, G Chen, J Zhao IJCAI, 4442-4450, 2023 | 29* | 2023 |
Controllable Textual Inversion for Personalized Text-to-Image Generation J Yang, H Wang, R Xiao, S Wu, G Chen, J Zhao arXiv preprint arXiv:2304.05265, 2023 | 10 | 2023 |
PiCO+: Contrastive label disambiguation for robust partial label learning H Wang, R Xiao, Y Li, L Feng, G Niu, G Chen, J Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 8 | 2024 |
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models R Xiao, Y Dong, J Zhao, R Wu, M Lin, G Chen, H Wang Conference on Empirical Methods in Natural Language Processing, 14520–14535, 2023 | 3 | 2023 |
GaitFormer: Revisiting Intrinsic Periodicity for Gait Recognition Q Wu, R Xiao, K Xu, J Ni, B Li, Z Xu arXiv preprint arXiv:2307.13259, 2023 | 2 | 2023 |
Debiased and Denoised Entity Recognition from Distant Supervision H Wang, Y Dong, R Xiao, F Huang, G Chen, J Zhao Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |