| Long-tailed recognition by routing diverse distribution-aware experts X Wang, L Lian, Z Miao, Z Liu, SX Yu arXiv preprint arXiv:2010.01809, 2020 | 232 | 2020 |
| Debiased learning from naturally imbalanced pseudo-labels X Wang, Z Wu, L Lian, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 27 | 2022 |
| Unsupervised visual attention and invariance for reinforcement learning X Wang, L Lian, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 19 | 2021 |
| Q-diffusion: Quantizing diffusion models X Li, L Lian, Y Liu, H Yang, Z Dong, D Kang, S Zhang, K Keutzer arXiv preprint arXiv:2302.04304, 2023 | 11 | 2023 |
| LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models L Lian, B Li, A Yala, T Darrell arXiv preprint arXiv:2305.13655, 2023 | 7 | 2023 |
| Unsupervised selective labeling for more effective semi-supervised learning X Wang, L Lian, SX Yu European Conference on Computer Vision, 427-445, 2022 | 5 | 2022 |
| Debiased learning from naturally imbalanced pseudo-labels for zero-shot and semi-supervised learning X Wang, Z Wu, L Lian, SX Yu arXiv preprint arXiv:2201.01490 4, 2022 | 5 | 2022 |
| Data-centric semi-supervised learning X Wang, L Lian, S Yu | 3 | 2021 |
| Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping L Lian, Z Wu, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
| Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy L Lian, Z Wu, SX Yu arXiv preprint arXiv:2212.08816, 2022 | | 2022 |
| Neural network training method, apparatus, electronic device, medium, and program product D Feng, L Lian, D Yu, X Yao, X Wu, Z Wu, Y Ma | | 2021 |
| Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping Supplementary Materials L Lian, Z Wu, SX Yu | | |
| Supplementary Materials: Unsupervised Visual Attention and Invariance for Reinforcement Learning X Wang, L Lian, XY Stella | | |
Stella X. YuProfessor of EECS, University of MichiganEmail verificata su umich.edu
