Yangfan Li

Orcid: 0000-0003-3640-5088

Affiliations:
  • Central South University, School of Computer Science and Engineering, Changsha, China
  • Hunan University, College of Information Science and Engineering, China (PhD 2022)
  • National Supercomputing Center in Changsha, China


According to our database1, Yangfan Li authored at least 52 papers between 2020 and 2026.

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Timeline

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Bibliography

2026
UTIDH: Unstable Transformer With Imbalanced Data Handling for UAV Multivariate Time Series Fault Diagnosis.
IEEE Trans. Veh. Technol., June, 2026

Optimizing Smart Wireless Charging and Data Acquisition for UAVs With Battery Life Prediction.
IEEE Trans. Veh. Technol., February, 2026

FD-TE Diagnosis: Enhancing Microservice Fault Diagnosis With Frequency Domain Features and Centrality-Aware Time Encoding.
IEEE Trans. Reliab., 2026

CiiNet: Self-Iterative Performance Optimization for Dynamic Networks Based on Causal Inference and Interpretable Evaluation.
IEEE Trans. Netw., 2026

Toward Efficient Zero-Trust Space-Air-Ground Integrated Networks via Federated Reinforcement Learning With Blockchain.
IEEE Trans. Commun., 2026

Lightweight medical diagnosis via uncertainty-aware fuzzy knowledge distillation.
Neurocomputing, 2026

ShallowMRI: A novel lightweight CNN with novel attention mechanism for Multi brain tumor classification in MRI images.
Biomed. Signal Process. Control., 2026

PointShuffler: Accelerating Point Cloud Neural Networks on General-Purpose GPUs.
Proceedings of the 21st European Conference on Computer Systems, 2026

2025
A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Models.
IEEE Commun. Surv. Tutorials, December, 2025

Detection of MRI brain tumor using residual skip block based modified MobileNet model.
Clust. Comput., August, 2025

6G Comprehensive Intelligence: Network Operations and Optimization Based on Large Language Models.
IEEE Netw., July, 2025

An Adaptive and Scalable Framework for Resource-Efficient Deployment of Mixture of Experts in LLM-Based Intelligent IoT Networks.
IEEE Internet Things J., July, 2025

Semi-Distributed Network Fault Diagnosis Based on Digital Twin Network in Highly Dynamic Heterogeneous Networks.
IEEE Trans. Mob. Comput., May, 2025

ReViT: Vision Transformer Accelerator With Reconfigurable Semantic-Aware Differential Attention.
IEEE Trans. Computers, March, 2025

SimDiff: Point Cloud Acceleration by Utilizing Spatial Similarity and Differential Execution.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2025

Optimize brain tumor multiclass classification with manta ray foraging and improved residual block techniques.
Multim. Syst., February, 2025

$R^{3}$R3: A Building Block for Disordering-Tolerant Load Balancing in Data Center Networks.
IEEE Trans. Serv. Comput., 2025

UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors.
IEEE Open J. Comput. Soc., 2025

EEG-Based Brain-Computer Interface: Fundamentals, Methods, Applications, and Challenges.
IEEE Internet Things J., 2025

Optimized deep learning model for comprehensive medical image analysis across multiple modalities.
Neurocomputing, 2025

An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection.
Comput. Electr. Eng., 2025

LSAP: A Learned Structure-Aware Pruning Point Cloud Classification Approach for Cyber Physical Social Intelligence.
Big Data Min. Anal., 2025

RTdetector: Deep Transformer Networks for Time Series Anomaly Detection Based on Reconstruction Trend.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

HIDE: Hyperspectral Imaging Dataset for Camouflaged Target Recognition.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
CFI-Net: A Choquet Fuzzy Integral Based Ensemble Network With PSO-Optimized Fuzzy Measures for Diagnosing Multiple Skin Diseases Including Mpox.
IEEE J. Biomed. Health Informatics, September, 2024

Efficient Vision Transformer for Human-Centric AIoT Applications Through Token Tracking Assignment.
IEEE Trans. Consumer Electron., February, 2024

An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems.
IEEE Netw., January, 2024

CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection.
Neural Networks, 2024

Differential evolution optimization based ensemble framework for accurate cervical cancer diagnosis.
Appl. Soft Comput., 2024

2023
Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction.
IEEE J. Sel. Areas Commun., November, 2023

Learning discriminative multi-relation representations for multimodal sentiment analysis.
Inf. Sci., September, 2023

Cascade Graph Neural Networks for Few-Shot Learning on Point Clouds.
IEEE Trans. Intell. Transp. Syst., August, 2023

CoRec: An Efficient Internet Behavior-based Recommendation Framework with Edge-cloud Collaboration on Deep Convolution Neural Networks.
ACM Trans. Sens. Networks, May, 2023

An Attribute-Based Keyword Search Scheme for Multiple Data Owners in Cloud-Assisted Industrial Internet of Things.
IEEE Trans. Ind. Informatics, April, 2023

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

Load Balancing With Deadline-Driven Parallel Data Transmission in Data Center Networks.
IEEE Internet Things J., January, 2023

Practical and Dynamic Attribute-Based Keyword Search Supporting Numeric Comparisons Over Encrypted Cloud Data.
IEEE Trans. Serv. Comput., 2023

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

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

Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting.
ACM Trans. Knowl. Discov. Data, 2022

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

An efficient and access policy-hiding keyword search and data sharing scheme in cloud-assisted IoT.
J. Syst. Archit., 2022

DiVIT: Algorithm and architecture co-design of differential attention in vision transformer.
J. Syst. Archit., 2022

An intelligence energy consumption model based on BP neural network in mobile edge computing.
J. Parallel Distributed Comput., 2022

Efficient game theoretic approach to dynamic graph partitioning.
Inf. Sci., 2022

Personalized query techniques in graphs: A survey.
Inf. Sci., 2022

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

Fabric Image Layering Based on Parallel K-means.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

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

2021
Attention-Aware Encoder-Decoder Neural Networks for Heterogeneous Graphs of Things.
IEEE Trans. Ind. Informatics, 2021

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

2020
A hierarchical deep convolutional neural network and gated recurrent unit framework for structural damage detection.
Inf. Sci., 2020


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