Xin Liu

17 papers A* 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
DropNaE: Alleviating irregularity for large-scale graph representation learning.
Neural Networks
Xin Liu, Xunbin Xiong, Mingyu Yan, Runzhen Xue, Shirui Pan, Songwen Pei, Lei Deng, Xiaochun Ye, Dongrui Fan
2025 J jnl
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack.
IEEE Trans. Knowl. Data Eng.
Xin Liu, Yuxiang Zhang, Meng Wu, Mingyu Yan, Kun He, Wei Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan
2024 — conf
Disttack: Graph Adversarial Attacks Toward Distributed GNN Training.
Euro-Par (2)
Yuxiang Zhang, Xin Liu, Meng Wu, Wei Yan, Mingyu Yan, Xiaochun Ye, Dongrui Fan
2024 J jnl
Disttack: Graph Adversarial Attacks Toward Distributed GNN Training.
CoRR
Yuxiang Zhang, Xin Liu, Meng Wu, Wei Yan, Mingyu Yan, Xiaochun Ye, Dongrui Fan
2024 J jnl
MoDSE: A High-Accurate Multiobjective Design Space Exploration Framework for CPU Microarchitectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Duo Wang, Mingyu Yan, Yihan Teng, Dengke Han, Xin Liu, Wenming Li, Xiaochun Ye, Dongrui Fan
2024 J jnl
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack.
CoRR
Xin Liu, Yuxiang Zhang, Meng Wu, Mingyu Yan, Kun He, Wei Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan
2023 A* conf
A High-accurate Multi-objective Exploration Framework for Design Space of CPU.
DAC
Duo Wang, Mingyu Yan, Xin Liu, Mo Zou, Tianyu Liu, Wenming Li, Xiaochun Ye, Dongrui Fan
2023 J jnl
A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives.
CoRR
Zhengyang Lv, Mingyu Yan, Xin Liu, Mengyao Dong, Xiaochun Ye, Dongrui Fan, Ninghui Sun
2022 — conf
GNNSampler: Bridging the Gap Between Sampling Algorithms of GNN and Hardware.
ECML/PKDD (5)
Xin Liu, Mingyu Yan, Shuhan Song, Zhengyang Lv, Wenming Li, Guangyu Sun, Xiaochun Ye, Dongrui Fan
2022 J jnl
General spiking neural network framework for the learning trajectory from a noisy mmWave radar.
Neuromorph. Comput. Eng.
Xin Liu, Mingyu Yan, Lei Deng, Yujie Wu, De Han, Guoqi Li, Xiaochun Ye, Dongrui Fan
2022 J jnl
Rethinking Efficiency and Redundancy in Training Large-scale Graphs.
CoRR
Xin Liu, Xunbin Xiong, Mingyu Yan, Runzhen Xue, Shirui Pan, Xiaochun Ye, Dongrui Fan
2022 J jnl
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey.
IEEE CAA J. Autom. Sinica
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan
2022 A* conf
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective.
IJCAI
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie
2022 J jnl
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective.
CoRR
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie
2021 J jnl
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware.
CoRR
Xin Liu, Mingyu Yan, Shuhan Song, Zhengyang Lv, Wenming Li, Guangyu Sun, Xiaochun Ye, Dongrui Fan
2021 J jnl
Sampling methods for efficient training of graph convolutional networks: A survey.
CoRR
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan
2020 J jnl
ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference.
CoRR
Zhihang Yuan, Xin Liu, Bingzhe Wu, Guangyu Sun