Tianyu Liu

Orcid: 0000-0003-3905-6936

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
  • University of Chinese Academy of Sciences, Beijing, China


According to our database1, Tianyu Liu authored at least 11 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
DFU-E: A Dataflow Architecture for Edge DSP and AI Applications.
IEEE Trans. Parallel Distributed Syst., June, 2025

Accelerating Authenticated Block Ciphers via RISC-V Custom Cryptography Instructions.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

2023
Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation.
IEEE Trans. Parallel Distributed Syst., December, 2023

Alleviating Transfer Latency in DataFlow Accelerator for DSP Applications.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023

DFGC: DFG-aware NoC Control based on Time Stamp Prediction for Dataflow Architecture.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023

ROMA: A Reconfigurable On-chip Memory Architecture for Multi-core Accelerators.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

A High-accurate Multi-objective Exploration Framework for Design Space of CPU.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Characterization and Implementation of Radar System Applications on a Reconfigurable Dataflow Architecture.
IEEE Comput. Archit. Lett., 2022

A Routing-Aware Mapping Method for Dataflow Architectures.
Proceedings of the Network and Parallel Computing, 2022

A Loop Optimization Method for Dataflow Architecture.
Proceedings of the 24th IEEE 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, 2022

LRP: Predictive output activation based on SVD approach for CNN s acceleration.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022


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