Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting G Li*, J Ji*, M Qin, W Niu, B Ren, F Afghah, L Guo, X Ma IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 19 | 2023 |
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities J Ji, G Li, L Yin, M Qin, G Yuan, L Guo, S Liu, X Ma Forty-first International Conference on Machine Learning (ICML), 0 | 3 | |
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization G Li, L Yin, J Ji, W Niu, M Qin, B Ren, L Guo, S Liu, X Ma The Twelfth International Conference on Learning Representations (ICLR), 0 | 3* | |
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design G Li, Z Shu, J Ji, M Qin, F Afghah, W Niu, X Ma European Conference on Computer Vision (ECCV), 2024 | | 2024 |
A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training J Ji, G Li, J Fu, F Afghah, L Guo, X Yuan, X Ma The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |