HADFL: Heterogeneity-aware Decentralized Federated Learning Framework. - Jing Cao; Zirui Lian; Weihong Liu; Zongwei Zhu; Cheng Ji 002 (DAC, 2021)

AGQFL: Communication-efficient Federated Learning via Automatic Gradient Quantization in Edge Heterogeneous Systems. - Zirui Lian; Jing Cao; Yanru Zuo; Weihong Liu; Zongwei Zhu (ICCD, 2021)

Sniper: cloud-edge collaborative inference scheduling with neural network similarity modeling. - Weihong Liu; Jiawei Geng; Zongwei Zhu; Jing Cao; Zirui Lian (DAC, 2022)

FedNorm: An Efficient Federated Learning Framework with Dual Heterogeneity Coexistence on Edge Intelligence Systems. - Zirui Lian; Weihong Liu; Jing Cao; Zongwei Zhu; Xuehai Zhou (ICCD, 2022)

Ace-Sniper: Cloud-Edge Collaborative Scheduling Framework With DNN Inference Latency Modeling on Heterogeneous Devices. - Weihong Liu; Jiawei Geng; Zongwei Zhu; Yang Zhao; Cheng Ji 002; Changlong Li; Zirui Lian; Xuehai Zhou (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

GOFL: An Accurate and Efficient Federated Learning Framework Based on Gradient Optimization in Heterogeneous IoT Systems. - Zirui Lian; Jing Cao; Zongwei Zhu; Xuehai Zhou; Weihong Liu (IEEE Internet Things J., 2024)

NebulaFL: Self-Organizing Efficient Multilayer Federated Learning Framework With Adaptive Load Tuning in Heterogeneous Edge Systems. - Zirui Lian; Jing Cao; Qianyue Cao; Weihong Liu; Zongwei Zhu; Xuehai Zhou (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Arch2End: Two-Stage Unified System-Level Modeling for Heterogeneous Intelligent Devices. - Weihong Liu; Zongwei Zhu; Boyu Li 006; Yi Xiong 003; Zirui Lian; Jiawei Geng; Xuehai Zhou (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

HaloFL: Efficient Heterogeneity-Aware Federated Learning Through Optimal Submodel Extraction and Dynamic Sparse Adjustment. - Zirui Lian; Qianyue Cao; Chao Liang; Jing Cao; Zongwei Zhu; Zhi Yang; Cheng Ji 002; Changlong Li; Xuehai Zhou (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)