Xin Liu

Orcid: 0000-0003-2147-3870

Affiliations:

Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China

According to our database¹, Xin Liu authored at least 11 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

MoDSE: A High-Accurate Multiobjective Design Space Exploration Framework for CPU Microarchitectures.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2024

Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack.

[BibT_eX]

[DOI]

CoRR, 2024

Disttack: Graph Adversarial Attacks Toward Distributed GNN Training.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023

A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives.

[BibT_eX]

[DOI]

CoRR, 2023

A High-accurate Multi-objective Exploration Framework for Design Space of CPU.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

General spiking neural network framework for the learning trajectory from a noisy mmWave radar.

[BibT_eX]

[DOI]

Neuromorph. Comput. Eng., June, 2022

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2022

Rethinking Efficiency and Redundancy in Training Large-scale Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

GNNSampler: Bridging the Gap Between Sampling Algorithms of GNN and Hardware.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Survey on Graph Neural Network Acceleration: An Algorithmic Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2020

ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference.

[BibT_eX]

[DOI]

CoRR, 2020

Xin Liu

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