| Short-term load forecasting with deep residual networks K Chen, K Chen, Q Wang, Z He, J Hu, J He IEEE Transactions on Smart Grid 10 (4), 3943-3952, 2018 | 636 | 2018 |
| Potential, challenges and future directions for deep learning in prognostics and health management applications O Fink, Q Wang, M Svensen, P Dersin, WJ Lee, M Ducoffe Engineering Applications of Artificial Intelligence 92, 103678, 2020 | 488 | 2020 |
| Continual Test-Time Domain Adaptation Q Wang, O Fink, L Van Gool, D Dai Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 444 | 2022 |
| Contextvp: Fully context-aware video prediction W Byeon, Q Wang, R Kumar Srivastava, P Koumoutsakos European Conference on Computer Vision (ECCV) Oral, 2018 | 180 | 2018 |
| Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation Q Wang, D Dai, L Hoyer, L Van Gool, O Fink International Conference on Computer Vision (ICCV), 2021 | 151 | 2021 |
| Domain Adaptive Transfer Learning for Fault Diagnosis Q Wang, G Michau, O Fink 2019 Prognostics and System Health Management Conference (PHM-Paris), 2019 | 149 | 2019 |
| Scale-and Context-Aware Convolutional Non-intrusive Load Monitoring K Chen, Y Zhang, Q Wang, J Hu, H Fan, J He IEEE Transactions on Power Systems, 2019 | 127 | 2019 |
| Convolutional sequence to sequence non-intrusive load monitoring K Chen, Q Wang, Z He, K Chen, J Hu, J He The Journal of Engineering 2018 (17), 1860-1864, 2018 | 106 | 2018 |
| Semi-Supervised Learning by Augmented Distribution Alignment Q Wang, W Li, L Van Gool International Conference on Computer Vision (ICCV) Oral, 2019 | 83 | 2019 |
| Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis Q Wang, C Taal, O Fink IEEE Transactions on Instrumentation and Measurement, 2021 | 78 | 2021 |
| Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search Y Tian*, Q Wang*, Z Huang, W Li, D Dai, M Yang, J Wang, O Fink European Conference on Computer Vision (ECCV), 2020 | 71 | 2020 |
| Missing-class-robust domain adaptation by unilateral alignment for fault diagnosis Q Wang, G Michau, O Fink IEEE Transactions on Industrial Electronics, 2020 | 68 | 2020 |
| Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation L Hoyer, D Dai, Q Wang, Y Chen, L Van Gool International Journal of Computer Vision (IJCV), 2021 | 42 | 2021 |
| Ciaosr: Continuous implicit attention-in-attention network for arbitrary-scale image super-resolution J Cao, Q Wang, Y Xian, Y Li, B Ni, Z Pi, K Zhang, Y Zhang, R Timofte, ... CVPR, 1796-1807, 2023 | 41 | 2023 |
| DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices I Nejjar, Q Wang, O Fink CVPR, 2023 | 29 | 2023 |
| Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations R Gong, Q Wang, D Da, M Danelljan, L Van Gool CVPR, 2023 | 13 | 2023 |
| Multi-agent actor-critic with time dynamical opponent model Y Tian, KR Kladny, Q Wang, Z Huang, O Fink Neurocomputing 517, 165-172, 2023 | 11 | 2023 |
| Learning Task-Oriented Flows to Mutually Guide Feature Alignment in Synthesized and Real Video Denoising J Cao, Q Wang, J Liang, Y Zhang, K Zhang, L Van Gool | 9* | 2022 |
| One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers R Gong, Q Wang, D Dai, L Van Gool arXiv preprint arXiv:2212.07292, 2022 | 8 | 2022 |
| Revisiting deep semi-supervised learning: An empirical distribution alignment framework and its generalization bound F Wang, Q Wang, W Li, D Xu, L Van Gool arXiv preprint arXiv:2203.06639, 2022 | 5 | 2022 |