| Learning bayesian sparse networks with full experience replay for continual learning Q Yan, D Gong, Y Liu, A Van Den Hengel, JQ Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
| NTIRE 2022 challenge on high dynamic range imaging: Methods and results E Pérez-Pellitero, S Catley-Chandar, R Shaw, A Leonardis, R Timofte, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 33 | 2022 |
| Deblurring natural image using super-Gaussian fields Y Liu, W Dong, D Gong, L Zhang, Q Shi Proceedings of the European Conference on Computer Vision (ECCV), 452-468, 2018 | 28 | 2018 |
| Variational bayesian dropout with a hierarchical prior Y Liu, W Dong, L Zhang, D Gong, Q Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 21 | 2019 |
| Truncated matrix power iteration for differentiable dag learning Z Zhang, I Ng, D Gong, Y Liu, E Abbasnejad, M Gong, K Zhang, JQ Shi Advances in Neural Information Processing Systems 35, 18390-18402, 2022 | 17 | 2022 |
| Identifying weight-variant latent causal models Y Liu, Z Zhang, D Gong, M Gong, B Huang, A Hengel, K Zhang, JQ Shi arXiv preprint arXiv:2208.14153, 2022 | 11 | 2022 |
| Distributed optimization via primal and dual decompositions for delay-constrained FANETs S Wen, L Deng, Y Liu Ad Hoc Networks 109, 102288, 2020 | 11 | 2020 |
| A lightweight network for high dynamic range imaging Q Yan, S Zhang, W Chen, Y Liu, Z Zhang, Y Zhang, JQ Shi, D Gong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| Frame-based variational Bayesian learning for independent or dependent source separation Y Liu, W Dong, M Zhou IEEE Transactions on Neural Networks and Learning Systems 29 (10), 4983-4996, 2018 | 10 | 2018 |
| Identifiable Latent Causal Content for Domain Adaptation under Latent Covariate Shift Y Liu, Z Zhang, D Gong, M Gong, B Huang, A van den Hengel, K Zhang, ... | 3* | 2023 |
| Identifying weight-variant latent causal models Y Liu, Z Zhang, D Gong, M Gong, B Huang, A Hengel, K Zhang, JQ Shi arXiv preprint arXiv:2208.14153, 2022 | 2* | 2022 |
| Learning bayesian sparse networks with full experience replay for continual learning D Gong, Q Yan, Y Liu, A Hengel, JQ Shi arXiv preprint arXiv:2202.10203, 2022 | 2 | 2022 |
| CLAP: Contrastive Learning with Augmented Prompts for Robustness on Pretrained Vision-Language Models Y Cai, Y Liu, Z Zhang, JQ Shi arXiv preprint arXiv:2311.16445, 2023 | 1 | 2023 |
| Bayesian Nonnegative Matrix Factorization with a Truncated Spike-and-Slab Prior Y Liu, W Dong, W Song, L Zhang 2019 IEEE International Conference on Multimedia and Expo (ICME), 1450-1455, 2019 | 1 | 2019 |
| Identifiable Latent Neural Causal Models Y Liu, Z Zhang, D Gong, M Gong, B Huang, A Hengel, K Zhang, JQ Shi arXiv preprint arXiv:2403.15711, 2024 | | 2024 |
| Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models Y Liu, Z Zhang, D Gong, B Huang, M Gong, A Hengel, K Zhang, JQ Shi arXiv preprint arXiv:2402.06223, 2024 | | 2024 |
| Identifiable Latent Polynomial Causal Models Through the Lens of Change Y Liu, Z Zhang, D Gong, M Gong, B Huang, A Hengel, K Zhang, JQ Shi arXiv preprint arXiv:2310.15580, 2023 | | 2023 |
| Analytic DAG Constraints for Differentiable DAG Learning Z Zhang, I Ng, D Gong, Y Liu, M Gong, B Huang, K Zhang, ... | | 2023 |
