Jingyuan Li

Orcid: 0009-0005-3349-6940

Affiliations:
  • Fudan University, School of Microelectronics, State Key Laboratory of Integrated Chips and Systems, Shanghai, China


According to our database1, Jingyuan Li authored at least 11 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
COFFA: A Co-Design Framework for Fused-Grained Reconfigurable Architecture Towards Efficient Irregular Loop Handling.
IEEE Trans. Computers, September, 2025

2024
HierCGRA: A Novel Framework for Large-scale CGRA with Hierarchical Modeling and Automated Design Space Exploration.
ACM Trans. Reconfigurable Technol. Syst., June, 2024

HETA: A Heterogeneous Temporal CGRA Modeling and Design Space Exploration via Bayesian Optimization.
IEEE Trans. Very Large Scale Integr. Syst., March, 2024

An Architecture-Agnostic Dataflow Mapping Framework on CGRA.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

TransMap: An Efficient CGRA Mapping Framework via Transformer and Deep Reinforcement Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

MDCRA: A Reconfigurable Accelerator Framework for Multiple Dataflow Lanes.
Proceedings of the 35th IEEE International Conference on Application-specific Systems, 2024

2023
THRAM: A Template-based Heterogeneous CGRA Modeling Framework Supporting Fast DSE.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

AUGER: A Multi-Objective Design Space Exploration Framework for CGRAs.
Proceedings of the International Conference on Field Programmable Technology, 2023

HGBO-DSE: Hierarchical GNN and Bayesian Optimization based HLS Design Space Exploration.
Proceedings of the International Conference on Field Programmable Technology, 2023

PRAD: A Bayesian Optimization-based DSE Framework for Parameterized Reconfigurable Architecture Design.
Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

UPTRA: An Ultra-Parameterized Temporal CGRA Modeling and Optimization.
Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023


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