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Yuhang Liu
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Cited by
Year
Learning bayesian sparse networks with full experience replay for continual learning
Q Yan, D Gong, Y Liu, A Van Den Hengel, JQ Shi
CVPR, 2022
482022
NTIRE 2022 challenge on high dynamic range imaging: Methods and results
E Pérez-Pellitero, S Catley-Chandar, R Shaw, A Leonardis, R Timofte, ...
CVPRW, 2022
402022
Deblurring natural image using super-Gaussian fields
Y Liu, W Dong, D Gong, L Zhang, Q Shi
ECCV, 2018
322018
Truncated matrix power iteration for differentiable dag learning
Z Zhang, I Ng, D Gong, Y Liu, E Abbasnejad, M Gong, K Zhang, JQ Shi
NeurIPS, 2022
272022
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
252022
Variational bayesian dropout with a hierarchical prior
Y Liu, W Dong, L Zhang, D Gong, Q Shi
CVPR, 2019
232019
Uncertainty estimation in HDR imaging with Bayesian neural networks
Q Yan, H Wang, Y Ma, Y Liu, W Dong, M Woźniak, Y Zhang
Pattern Recognition 156, 110802, 2024
182024
A lightweight network for high dynamic range imaging
Q Yan, S Zhang, W Chen, Y Liu, Z Zhang, Y Zhang, JQ Shi, D Gong
CVPRW, 2022
162022
Distributed optimization via primal and dual decompositions for delay-constrained FANETs
S Wen, L Deng, Y Liu
Ad Hoc Networks 109, 102288, 2020
162020
Frame-based variational Bayesian learning for independent or dependent source separation
Y Liu, W Dong, M Zhou
TNNLS 29 (10), 4983-4996, 2018
122018
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
The Twelfth International Conference on Learning Representations, 2024
62024
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, ...
6*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
32022
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
22024
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
22024
CLAP: Contrastive Learning with Augmented Prompts for Robustness on Pretrained Vision-Language Models
Y Cai, Y Liu, Z Zhang, JQ Shi
ECCV, 2024
22024
Bayesian nonnegative matrix factorization with a truncated spike-and-slab prior
Y Liu, W Dong, W Song, L Zhang
ICME, 2019
22019
Analytic DAG Constraints for Differentiable DAG Learning
Z Zhang, I Ng, D Gong, Y Liu, M Gong, B Huang, K Zhang, ...
ICLR, 2025
2025
Rethinking State Disentanglement in Causal Reinforcement Learning
H Cao, Z Zhang, P Cai, Y Liu, J Zou, E Abbasnejad, B Huang, M Gong, ...
arXiv preprint arXiv:2408.13498, 2024
2024
InvariantStock: Learning Invariant Features for Mastering the Shifting Market
H Cao, J Zou, Y Liu, Z Zhang, E Abbasnejad, A Hengel, JQ Shi
Transactions on Machine Learning Research, 2024
2024
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Articles 1–20