MIXGAN: Learning Concepts from Different Domains for Mixture Generation. - Guang-Yuan Hao; Hong-Xing Yu; Wei-Shi Zheng 001 (IJCAI, 2018)

DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision. - Guang-Yuan Hao; Hong-Xing Yu; Wei-Shi Zheng 001 (CoRR, 2019)

DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling. - Baojun Wang; Zhao Zhang; Kun Xu; Guang-Yuan Hao; Yuyang Zhang; Lifeng Shang; Linlin Li 001; Xiao Chen 012; Xin Jiang 002; Qun Liu 001 (EMNLP (1), 2021)

Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation. - Zihao Xu 001; Guang-Yuan Hao; Hao He 011; Hao Wang 014 (ICLR, 2023)

Taxonomy-Structured Domain Adaptation. - Tianyi Liu; Zihao Xu 001; Hao He 011; Guang-Yuan Hao; Guang-He Lee; Hao Wang 014 (ICML, 2023)

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees. - Guang-Yuan Hao; Hengguan Huang; Haotian Wang; Jie Gao; Hao Wang 014 (AAAI, 2024)

Natural Counterfactuals With Necessary Backtracking. - Guang-Yuan Hao; Jiji Zhang; Biwei Huang; Hao Wang 014; Kun Zhang 001 (NeurIPS, 2024)

A Conditional Independence Test in the Presence of Discretization. - Boyang Sun; Yu Yao; Guang-Yuan Hao; Yumou Qiu; Kun Zhang (ICLR, 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 001 (CoRR, 2025)