Jiale Yan

Orcid: 0000-0003-4972-6315

According to our database1, Jiale Yan authored at least 14 papers between 2018 and 2025.

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

Timeline

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Links

On csauthors.net:

Bibliography

2025
DMSA: An Efficient Architecture for Sparse-Sparse Matrix Multiplication Based on Distribute-Merge Product Dataflow.
IEEE Trans. Very Large Scale Integr. Syst., July, 2025

Updated Lagrangian particle hydrodynamics (ULPH) simulations of underwater bubble motions in three-dimensional space.
Eng. Comput., June, 2025

Uncovering Strong Lottery Tickets in Graph Transformers: A Path to Memory Efficient and Robust Graph Learning.
Trans. Mach. Learn. Res., 2025

EUN: Enhanced unlearnable examples generation approach for privacy protection.
Comput. Vis. Image Underst., 2025

BingoGCN: Towards Scalable and Efficient GNN Acceleration with Fine-Grained Partitioning and SLT.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Stealthy Backdoor Attack against Video Recognition Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

TTF-GNN: Memory-Efficient GNNs via Tensor Train Decomposition and Network Folding.
Proceedings of the IEEE Symposium on Low-Power and High-Speed Chips and Systems, 2025

2024
Enhance membership inference attacks in federated learning.
Comput. Secur., January, 2024

Efficient COO to CSR Conversion for Accelerating Sparse Matrix Processing on FPGA.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

Sparse-Sparse Matrix Multiplication Accelerator on FPGA featuring Distribute-Merge Product Dataflow.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023
TT-MLP: Tensor Train Decomposition on Deep MLPs.
IEEE Access, 2023

Multicoated and Folded Graph Neural Networks With Strong Lottery Tickets.
Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

2019
Updated Lagrangian Particle Hydrodynamics (ULPH) modeling and simulation of multiphase flows.
J. Comput. Phys., 2019

2018
GNA: Reconfigurable and Efficient Architecture for Generative Network Acceleration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018


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