Shao, Minglai

8 publications

IJCAI 2025 FADE: Towards Fairness-Aware Data Generation for Domain Generalization via Classifier-Guided Score-Based Diffusion Models Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao

IJCAI 2025 HPDM: A Hierarchical Popularity-Aware Debiased Modeling Approach for Personalized News Recommender Xiangfu He, Qiyao Peng, Minglai Shao, Hongtao Liu

IJCAI 2025 Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao

IJCAI 2025 Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-E Wang, Chunming Hu, Xianxian Li, Xingcheng Fu

AAAI 2024 Graph Bayesian Optimization for Multiplex Influence Maximization Zirui Yuan, Minglai Shao, Zhiqian Chen

IJCAI 2024 Graph Collaborative Expert Finding with Contrastive Learning Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao

IJCAI 2024 Supervised Algorithmic Fairness in Distribution Shifts: A Survey Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian

IJCAI 2024 Towards Counterfactual Fairness-Aware Domain Generalization in Changing Environments Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen