Lin Shi

Orcid: 0000-0002-4621-8166

Affiliations:
  • Changzhou University, School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, China


According to our database1, Lin Shi authored at least 25 papers between 2014 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Multimodal Selective Fusion Approach for Robotic Grasp Detection.
IEEE Robotics Autom. Lett., June, 2026

Hybrid anchor graph learning and tensorized spectral embedding fusion for multi-view clustering.
Neurocomputing, 2026

2025
CMambaFuse: Circular mamba feature fusion for medical image segmentation.
Signal Image Video Process., November, 2025

DistilCLIP-EEG: Enhancing Epileptic Seizure Detection Through Multi-modal Learning and Knowledge Distillation.
CoRR, October, 2025

Efficient network defense policies via GNN-enhanced reinforcement learning.
J. Supercomput., June, 2025

CAFNet: Circular Attention Fusion for medical image segmentation.
Knowl. Based Syst., 2025

Advancements in few-shot nested Named Entity Recognition: The efficacy of meta-learning convolutional approaches.
Neurocomputing, 2025

Autonomous cyber defense for AIoT using Graph Attention Network-Enhanced reinforcement learning.
Comput. Commun., 2025

Gradient Balanced Part-Whole Relational Weakly Supervised Semantic Segmentation.
Proceedings of the Knowledge Science, Engineering and Management, 2025

2024
Multi-Level Attention with 2D Table-Filling for Joint Entity-Relation Extraction.
Inf., July, 2024

Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts.
CoRR, 2024

Adaptive Unified Framework with Global Anchor Graph for Large-Scale Multi-view Clustering.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

SymbTQL: A Symbolic Temporal Logic Framework for Enhancing LLM-based TKGQA.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Autonomous Cyber Defense using Graph Attention Network Enhanced Reinforcement Learning.
Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

Double Attention-Based Deep Convolutional Neural Network for Seizure Detection Using EEG Signals.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

NSMA-Net: A Neighboring Slice and Modality-Aware Network for Multi-Modal Brain Tumor Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
FAFuse: A Four-Axis Fusion framework of CNN and Transformer for medical image segmentation.
Comput. Biol. Medicine, November, 2023

DM-DQN: Dueling Munchausen deep Q network for robot path planning.
Complex Intell. Syst., 2023

Enhancing Cybersecurity in Industrial Control System with Autonomous Defense Using Normalized Proximal Policy Optimization Model.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2021
Automatic detection of safety helmet wearing based on head region location.
IET Image Process., 2021

Throughput-aware path planning for UAVs in D2D 5G networks.
Ad Hoc Networks, 2021

2020
QoS-Aware UAV Coverage path planning in 5G mmWave network.
Comput. Networks, 2020

UAV Path Planning With QoS Constraint in Device-to-Device 5G Networks Using Particle Swarm Optimization.
IEEE Access, 2020

2019
An Advanced Deep Learning Approach for Safety Helmet Wearing Detection.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

2014
Context-based Ontology-driven Recommendation Strategies for Tourism in Ubiquitous Computing.
Wirel. Pers. Commun., 2014


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