Ao Ren

Federated learning with workload-aware client scheduling in heterogeneous systems

Y. Zhang, Yu Zhang, Li Li, 2022, Neural Networks.

VEA: An FPGA-Based Voxel Encoding Accelerator for 3D Object Detection with LiDAR

Yujuan Tan, Duo Liu, Xianzhang Chen, 2022, 2022 IEEE 40th International Conference on Computer Design (ICCD).

SENTunnel: Fast Path for Sensor Data Access on Automotive Embedded Systems

Yujuan Tan, Duo Liu, Xianzhang Chen, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework

Yu Zhang, Li Li, Yujuan Tan, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

FRL: Fast and Reconfigurable Accelerator for Distributed Sound Source Localization

Yujuan Tan, Duo Liu, Xianzhang Chen, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems

Duo Liu, Li Li, Yujuan Tan, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

3DS: An Efficient DPDK-based Data Distribution Service for Distributed Real-time Applications

Yujuan Tan, Duo Liu, Xianzhang Chen, 2022, 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).

FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework

Yujuan Tan, Duo Liu, Xianzhang Chen, 2023, IEEE Transactions on Parallel and Distributed Systems.

Re-compact: Structured Pruning and SpMM Kernel Co-design for Accelerating DNNs on GPUs

Yujuan Tan, Xianzhang Chen, Ao Ren, 2023, 2023 IEEE 41st International Conference on Computer Design (ICCD).