Publications (* Equal contribution, # Corresponding author):
Publications (* Equal contribution, # Corresponding author):
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
Ruilin Tong, Haodong Lu, Yuhang Liu, Dong Gong
Advances In Neural Information Processing Systems (NeurIPS), 2025
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
Yichao Cai*, Yuhang Liu*#, Erdun Gao, Tianjiao Jiang, Zhen Zhang, Anton van den Hengel, Javen Qinfeng Shi
Advances In Neural Information Processing Systems (NeurIPS), 2025
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning
Tianjiao Jiang, Zhen Zhang, Yuhang Liu#, Javen Qinfeng Shi
International Conference on Computer Vision (ICCV ), 2025
Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale
Yangyang Shu, Yuhang Liu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu
Transactions on Machine Learning Research(TMLR), 2025.
Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
Transactions on Machine Learning Research(TMLR), 2025.
Coreset Selection via Reducible Loss in Continual Learning
Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi, Dong Gong,
International Conference on Learning Representations (ICLR), 2025.
Analytic DAG Constraints for Differentiable DAG Learning
Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi
International Conference on Learning Representations (ICLR), 2025.
Identifiable Latent Neural Causal Models
Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi,
https://arxiv.org/abs/2403.15711, 2024.
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
Yuhang Liu, Zhen Zhang, Dong Gong, Erdun Gao, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi,
https://arxiv.org/abs/2402.06223, 2024.
Rethinking State Disentanglement in Causal Reinforcement Learning
Haiyao Cao, Zhen Zhang, Panpan Cai, Yuhang Liu, Jinan Zou, Ehsan Abbasnejad, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi, https://arxiv.org/abs/2408.13498, 2024
Uncertainty estimation in HDR imaging with Bayesian neural networks
Qingsen Yan, Haishen Wang , Yifan Ma, Yuhang Liu, Wei Dong , Marcin Woźniak, Yanning Zhang,
Pattern Recognition (PR), 2024.
InvariantStock: Learning Invariant Features for Mastering the Shifting Market
Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi,
Transactions on Machine Learning Research (TMLR), 2024.
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
Yichao Cai, Yuhang Liu, Zhen Zhang, Javen Qinfeng Shi,
In European Conference on Computer Vision (ECCV), 2024
Identifiable Latent Polynomial Causal Models Through the Lens of Change
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi,
International Conference on Learning Representations (ICLR), 2024.
Identifying Weight-Variant Latent Causal Models
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi,
https://arxiv.org/abs/2208.14153.
Truncated Matrix Power Iteration for Differentiable DAG Learning
Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan M Abbasnejad, Mingming Gong, Kun Zhang, Javen Qingfeng Shi,
Advances In Neural Information Processing Systems (NeurIPS) 2022
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
Qingsen Yan*, Dong Gong*, Yuhang Liu, Anton van den Hengel, Javen Qinfeng Shi,
IEEECVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (* Equal contribution)
A lightweight network for high dynamic range imaging
Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong,,
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022.
Variational Bayesian Dropout With a Hierarchical Prior
Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi, "Variational Bayesian Dropout With a Hierarchical Prior ",
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [Code]
Bayesian Nonnegative Matrix Factorization With a Truncated Spike-and-slab Prior
Yuhang Liu, Wenyong Dong, Wanjuan Song, Lei Zhang,
In IEEE International Conference on Multimedia and Expo (ICME), 2019. [Code]
Yuhang Liu, Wenyong Dong, Dong Gong, Lei Zhang, Qinfeng Shi,
In European Conference on Computer Vision (ECCV), 2018. [Code]
Frame-Based Variational Bayesian Learning for Independent or Dependent Source Separation,
Yuhang Liu, Wenyong Dong, and MengChu Zhou,
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), VOL. 29, NO. 10, OCT. 2018. [Code]