Liu, Fusheng

8 publications

ICLR 2025 Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Fusheng Liu, Qianxiao Li

ICML 2025 Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection Jinyu Cai, Yunhe Zhang, Fusheng Liu, See-Kiong Ng

AAAI 2025 Paid with Models: Optimal Contract Design for Collaborative Machine Learning Bingchen Wang, Zhaoxuan Wu, Fusheng Liu, Bryan Kian Hsiang Low

IJCAI 2024 Cross-Domain Feature Augmentation for Domain Generalization Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu

ICML 2024 From Generalization Analysis to Optimization Designs for State Space Models Fusheng Liu, Qianxiao Li

TMLR 2023 Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning Naibo Wang, Wenjie Feng, Yuchen Deng, Moming Duan, Fusheng Liu, See-Kiong Ng

TMLR 2022 From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li

ICLR 2022 Unraveling Model-Agnostic Meta-Learning via the Adaptation Learning Rate Yingtian Zou, Fusheng Liu, Qianxiao Li