Yuhang Liu - RankMe

37 papers A* 6A 1Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Concept Component Analysis: A Principled Approach for Concept Extraction in LLMs. CoRR Yuhang Liu, Erdun Gao, Dong Gong, Anton van den Hengel, Javen Qinfeng Shi
2026	J	`jnl`	Identifying Weight-Variant Latent Causal Models. J. Mach. Learn. Res. Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2026	J	`jnl`	The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-Modal Divergence. CoRR Yichao Cai, Zhen Zhang, Yuhang Liu, Javen Qinfeng Shi
2025	A*	`conf`	Analytic DAG Constraints for Differentiable DAG Learning. ICLR Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi
2025	J	`jnl`	Analytic DAG Constraints for Differentiable DAG Learning. CoRR Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi
2025	J	`jnl`	Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning. CoRR Tianjiao Jiang, Zhen Zhang, Yuhang Liu, Javen Qinfeng Shi
2025	A*	`conf`	Coreset Selection via Reducible Loss in Continual Learning. ICLR Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi, Dong Gong
2025	J	`jnl`	I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? CoRR Yuhang Liu, Dong Gong, Erdun Gao, Zhen Zhang, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi
2025	J	`jnl`	Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning. CoRR Jinquan Guan, Qi Chen, Lizhou Liang, Yuhang Liu, Vu Minh Hieu Phan, Minh-Son To, Jian Chen, Yutong Xie
2025	J	`jnl`	Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation. Trans. Mach. Learn. Res. Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2025	J	`jnl`	Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning. CoRR Ruilin Tong, Haodong Lu, Yuhang Liu, Dong Gong
2025	J	`jnl`	Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning. CoRR Yichao Cai, Yuhang Liu, Erdun Gao, Tianjiao Jiang, Zhen Zhang, Anton van den Hengel, Javen Qinfeng Shi
2025	J	`jnl`	Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale. Trans. Mach. Learn. Res. Yangyang Shu, Yuhang Liu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu
2024	—	`conf`	CLAP: Isolating Content from Style Through Contrastive Learning with Augmented Prompts. ECCV (21) Yichao Cai, Yuhang Liu, Zhen Zhang, Javen Qinfeng Shi
2024	J	`jnl`	Identifiable Latent Neural Causal Models. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2024	A*	`conf`	Identifiable Latent Polynomial Causal Models through the Lens of Change. ICLR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2024	J	`jnl`	InvariantStock: Learning Invariant Features for Mastering the Shifting Market. CoRR Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi
2024	J	`jnl`	InvariantStock: Learning Invariant Features for Mastering the Shifting Market. Trans. Mach. Learn. Res. Haiyao Cao, Jinan Zou, Yuhang Liu, Zhen Zhang, Ehsan Abbasnejad, Anton van den Hengel, Javen Qinfeng Shi
2024	J	`jnl`	Rethinking State Disentanglement in Causal Reinforcement Learning. CoRR Haiyao Cao, Zhen Zhang, Panpan Cai, Yuhang Liu, Jinan Zou, Ehsan Abbasnejad, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi
2024	J	`jnl`	Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2024	J	`jnl`	Uncertainty estimation in HDR imaging with Bayesian neural networks. Pattern Recognit. Qingsen Yan, Haishen Wang, Yifan Ma, Yuhang Liu, Wei Dong, Marcin Wozniak, Yanning Zhang
2023	J	`jnl`	CLAP: Contrastive Learning with Augmented Prompts for Robustness on Pretrained Vision-Language Models. CoRR Yichao Cai, Yuhang Liu, Zhen Zhang, Javen Qinfeng Shi
2023	J	`jnl`	Identifiable Latent Polynomial Causal Models Through the Lens of Change. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2022	—	`conf`	A Lightweight Network for High Dynamic Range Imaging. CVPR Workshops Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong
2022	J	`jnl`	Identifying Latent Causal Content for Multi-Source Domain Adaptation. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Kun Zhang, Javen Qinfeng Shi
2022	A*	`conf`	Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CVPR Qingsen Yan, Dong Gong, Yuhang Liu, Anton van den Hengel, Javen Qinfeng Shi
2022	J	`jnl`	Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CoRR Dong Gong, Qingsen Yan, Yuhang Liu, Anton van den Hengel, Qinfeng (Javen) Shi
2022	—	`conf`	NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CVPR Workshops Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park
2022	J	`jnl`	NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CoRR Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park
2022	A*	`conf`	Truncated Matrix Power Iteration for Differentiable DAG Learning. NeurIPS Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
2022	J	`jnl`	Truncated Matrix Power Iteration for Differentiable DAG Learning. CoRR Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, M. Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
2022	J	`jnl`	Weight-variant Latent Causal Models. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2019	A	`conf`	Bayesian Nonnegative Matrix Factorization with a Truncated Spike-and-Slab Prior. ICME Yuhang Liu, Wenyong Dong, Wanjuan Song, Lei Zhang
2019	A*	`conf`	Variational Bayesian Dropout With a Hierarchical Prior. CVPR Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi
2018	—	`conf`	Deblurring Natural Image Using Super-Gaussian Fields. ECCV (1) Yuhang Liu, Wenyong Dong, Dong Gong, Lei Zhang, Qinfeng Shi
2018	J	`jnl`	Frame-Based Variational Bayesian Learning for Independent or Dependent Source Separation. IEEE Trans. Neural Networks Learn. Syst. Yuhang Liu, Wenyong Dong, MengChu Zhou
2018	J	`jnl`	Variational Bayesian Dropout. CoRR Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi