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Xiaofeng Zou
Xiaofeng Zou
Phd Student,Hunan University
在 hnu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Gated residual recurrent graph neural networks for traffic prediction
C Chen, K Li, SG Teo, X Zou, K Wang, J Wang, Z Zeng
Proceedings of the AAAI conference on artificial intelligence 33 (01), 485-492, 2019
2512019
Citywide traffic flow prediction based on multiple gated spatio-temporal convolutional neural networks
C Chen, K Li, SG Teo, X Zou, K Li, Z Zeng
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-23, 2020
1842020
Exploiting spatio-temporal correlations with multiple 3d convolutional neural networks for citywide vehicle flow prediction
C Chen, K Li, SG Teo, G Chen, X Zou, X Yang, RC Vijay, J Feng, Z Zeng
2018 IEEE international conference on data mining (ICDM), 893-898, 2018
982018
Multiple local 3D CNNs for region-based prediction in smart cities
Y Chen, X Zou, K Li, K Li, X Yang, C Chen
Information Sciences 542, 476-491, 2021
502021
Regnn: A redundancy-eliminated graph neural networks accelerator
C Chen, K Li, Y Li, X Zou
2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022
342022
Dygnn: Algorithm and architecture support of dynamic pruning for graph neural networks
C Chen, K Li, X Zou, Y Li
2021 58th ACM/IEEE Design Automation Conference (DAC), 1201-1206, 2021
302021
Multi-task cascade deep convolutional neural networks for large-scale commodity recognition
X Zou, L Zhou, K Li, A Ouyang, C Chen
Neural Computing and Applications 32 (10), 5633-5647, 2020
242020
Multilevel attention based u-shape graph neural network for point clouds learning
X Zou, K Li, C Chen
IEEE Transactions on Industrial Informatics 18 (1), 448-456, 2020
232020
DGSLN: differentiable graph structure learning neural network for robust graph representations
X Zou, K Li, C Chen, X Yang, W Wei, K Li
Information Sciences 626, 94-113, 2023
132023
Exploring structural knowledge for automated visual inspection of moving trains
C Chen, X Zou, Z Zeng, Z Cheng, L Zhang, SCH Hoi
IEEE transactions on cybernetics 52 (2), 1233-1246, 2020
112020
Multi-task Y-shaped graph neural network for point cloud learning in autonomous driving
X Zou, K Li, Y Li, W Wei, C Chen
IEEE Transactions on Intelligent Transportation Systems 23 (7), 9568-9579, 2022
92022
Hierarchical semantic graph reasoning for train component detection
C Chen, K Li, X Zou, Z Cheng, W Wei, Q Tian, Z Zeng
IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4502-4514, 2021
92021
Latent vector prototypes guided conditional face synthesis
Q Wei, X Yang, T Sang, H Wang, Z Xiaofeng, C Zhongyao, Z Ziyuan, ...
2022 IEEE International Conference on Image Processing (ICIP), 3898-3902, 2022
42022
Algorithms and architecture support of degree-based quantization for graph neural networks
Y Guo, Y Chen, X Zou*, X Yang, Y Gu
Journal of Systems Architecture 129, 102578, 2022
32022
Coin: correlation induced clustering for cognition of high dimensional bioinformatics data
Z Zeng, Z Zhao, K Xu, Y Li, C Chen, X Zou, Y Wang, W Wei, PKH Chow, ...
IEEE Journal of Biomedical and Health Informatics 27 (2), 598-607, 2022
32022
Point Cloud Acceleration by Exploiting Geometric Similarity
C Chen, X Zou*, H Shao, Y Li, K Li
Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023
22023
Robust Edge AI for Real-Time Industry 4.0 Applications in 5G Environment
X Zou, K Li, JT Zhou, W Wei, C Chen
IEEE Communications Standards Magazine 7 (2), 64-70, 2023
22023
Topology-Aware Quantization Strategy via Personalized PageRank for Graph Neural Networks
Y Chen, Y Guo, Z Zeng, X Zou, Y Li, C Chen
2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable …, 2022
12022
Determinantal point process-based new radio unlicensed link scheduling for multi-access edge computing
C Xing, Y Li, C Chen, F Li, Z Zeng, X Zou
World Wide Web 25 (5), 2215-2239, 2022
12022
SimDiff: Point Cloud Acceleration by Utilizing Spatial Similarity and Differential Execution
Y Li, M Li, C Chen, X Zou, H Shao, F Tang, K Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024
2024
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