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Biwei Huang

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Federated Causal Discovery from Heterogeneous Data

Feb 27, 2024
Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang

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Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models

Feb 09, 2024
Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

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Natural Counterfactuals With Necessary Backtracking

Feb 02, 2024
Guang-Yuan Hao, Jiji Zhang, Biwei Huang, Hao Wang, Kun Zhang

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HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization

Jan 18, 2024
Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Tongliang Liu, Lina Yao, Kun Zhang

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A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables

Dec 18, 2023
Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang

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MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment

Dec 06, 2023
Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang

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Generator Identification for Linear SDEs with Additive and Multiplicative Noise

Oct 30, 2023
Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong

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Identifiable Latent Polynomial Causal Models Through the Lens of Change

Oct 24, 2023
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

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Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables

Aug 13, 2023
Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang

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