FluentPS: A Parameter Server Design with Low-frequency Synchronization for Distributed Deep Learning. - Xin Yao; Xueyu Wu 001; Cho-Li Wang (CLUSTER, 2019)

FedSCR: Structure-Based Communication Reduction for Federated Learning. - Xueyu Wu 001; Xin Yao; Cho-Li Wang (IEEE Trans. Parallel Distributed Syst., 2021)

KAFL: Achieving High Training Efficiency for Fast-K Asynchronous Federated Learning. - Xueyu Wu 001; Cho-Li Wang (ICDCS, 2022)

Embedding Communication for Federated Graph Neural Networks with Privacy Guarantees. - Xueyu Wu 001; Zhuoran Ji; Cho-Li Wang (ICDCS, 2023)

A Framework for Developing and Optimizing Fully Homomorphic Encryption Programs on GPUs. - Jianyu Zhao 004; Xueyu Wu 001; Guang Fan 001; Mingzhe Zhang 005; Shoumeng Yan; Lei Ju 001; Zhuoran Ji (ASPLOS (2), 2026)

Pipelonk: Accelerating End-to-End Zero-Knowledge Proof Generation on GPUs for PLONK-Based Protocols. - Zhiyuan Zhang 008; Yanxin Cai; Wenhao Yin; Xueyu Wu 001; Yi Wang 003; Lei Ju 001; Zhuoran Ji (PPoPP, 2026)