Hao, Guang-Yuan

7 publications

ICLR 2025 A Conditional Independence Test in the Presence of Discretization Boyang Sun, Yu Yao, Guang-Yuan Hao, Yumou Qiu, Kun Zhang

ICML 2025 Permutation-Based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data Xinshuai Dong, Ignavier Ng, Boyang Sun, Haoyue Dai, Guang-Yuan Hao, Shunxing Fan, Peter Spirtes, Yumou Qiu, Kun Zhang

AAAI 2024 Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang

NeurIPS 2024 Natural Counterfactuals with Necessary Backtracking Guang-Yuan Hao, Jiji Zhang, Biwei Huang, Hao Wang, Kun Zhang

ICLR 2023 Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Zihao Xu, Guang-Yuan Hao, Hao He, Hao Wang

ICML 2023 Taxonomy-Structured Domain Adaptation Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang

IJCAI 2018 MIXGAN: Learning Concepts from Different Domains for Mixture Generation Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng