Xiaofeng Zou

Orcid: 0000-0002-5823-6345

According to our database1, Xiaofeng Zou authored at least 35 papers between 2014 and 2025.

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

Timeline

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On csauthors.net:

Bibliography

2025
Seesaw: A 4096-bit vector processor for accelerating Kyber based on RISC-V ISA extensions.
Parallel Comput., 2025

SFP: Similarity-based filter pruning for deep neural networks.
Inf. Sci., 2025

2024
On data efficiency of univariate time series anomaly detection models.
J. Big Data, December, 2024

Scalable Heterogeneous Scheduling Based Model Parallelism for Real-Time Inference of Large-Scale Deep Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

MFAM-AD: an anomaly detection model for multivariate time series using attention mechanism to fuse multi-scale features.
PeerJ Comput. Sci., 2024

An anomaly detection model for multivariate time series with anomaly perception.
PeerJ Comput. Sci., 2024

Premium Power Service for Custom Power Devices Based on Trial-Purchase Model.
IEEE Access, 2024

An Adaptive Wide-Voltage-Range Droop Detection and Protection System Assisted with Timing Error Detection in 28nm CMOS.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

2023
On the Performance Trade-Off of Distributed Integrated Sensing and Communication Networks.
IEEE Wirel. Commun. Lett., December, 2023

Robust Edge AI for Real-Time Industry 4.0 Applications in 5G Environment.
IEEE Commun. Stand. Mag., June, 2023

DGSLN: Differentiable graph structure learning neural network for robust graph representations.
Inf. Sci., May, 2023

CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data.
IEEE J. Biomed. Health Informatics, February, 2023

Point Cloud Acceleration by Exploiting Geometric Similarity.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Towards Performance Analysis for Online Data Science Learning Platform.
Proceedings of the Computer Science and Education. Teaching and Curriculum, 2023

Design and Implementation of a Compiler Supporting RISC-V Custom Cryptographic and Vector Instructions.
Proceedings of the 7th International Conference on Computer Science and Application Engineering, 2023

2022
Determinantal point process-based new radio unlicensed link scheduling for multi-access edge computing.
World Wide Web, 2022

Hierarchical Semantic Graph Reasoning for Train Component Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022

Multi-Task Y-Shaped Graph Neural Network for Point Cloud Learning in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Multilevel Attention Based U-Shape Graph Neural Network for Point Clouds Learning.
IEEE Trans. Ind. Informatics, 2022

Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains.
IEEE Trans. Cybern., 2022

Algorithms and architecture support of degree-based quantization for graph neural networks.
J. Syst. Archit., 2022

Topology-Aware Quantization Strategy via Personalized PageRank for Graph Neural Networks.
Proceedings of the IEEE Smartworld, 2022

Multifunctional Module Design Based on Hybrid CMOS-Memristor Logic Circuit.
Proceedings of the International Conference on Service Science, 2022

Latent Vector Prototypes Guided Conditional Face Synthesis.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

ReGNN: A Redundancy-Eliminated Graph Neural Networks Accelerator.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021
Multiple local 3D CNNs for region-based prediction in smart cities.
Inf. Sci., 2021

Development of Bath Auxiliary Robot for the Disabled Elderly.
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2021

DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Porting and FPGA Implementation of LXDE Desktop Environment Based on RISC-V.
Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

2020
Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks.
ACM Trans. Knowl. Discov. Data, 2020

Multi-task cascade deep convolutional neural networks for large-scale commodity recognition.
Neural Comput. Appl., 2020

Multiple Balance Subsets Stacking for Imbalanced Healthcare Datasets.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

2019
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

2014
Benefits of Adding Hardware Support for Broadcast and Reduce Operations in MPSoC Applications.
ACM Trans. Reconfigurable Technol. Syst., 2014


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