Zhongming Yu
Orcid: 0000-0003-2064-8106
According to our database1,
Zhongming Yu
authored at least 20 papers
between 2021 and 2024.
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Bibliography
2024
Study on Stability for Interconnected Uncertain Fractional-Order Systems Based on Vector-Bounded Technique.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU.
CoRR, 2024
2023
CCF Trans. High Perform. Comput., June, 2023
Proceedings of the ACM Web Conference 2023, 2023
HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023
Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Decentralized Time-Delay Control Using Partial Variables With Measurable States for a Class of Interconnected Systems With Time Delays.
IEEE Trans. Cybern., 2022
Decentralized partial-variable periodic intermittent control for a class of interconnected fractional-order systems.
J. Frankl. Inst., 2022
CoRR, 2022
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Stability Analysis of a Class of Fractional-Order Nonlinear Systems Under Unknown Stochastic Disturbance and Actuator Saturation.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021