Chenyu Zhou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2026
LED-Net: A lightweight and efficient dual-branch convolutional neural network for high-performance fruit tree branches semantic segmentation on mobile devices.
Expert Syst. Appl., 2026

2025
Auto-Formulating Dynamic Programming Problems with Large Language Models.
CoRR, July, 2025

Locate, enhance and fuse: a progressively optimized network for camouflaged object detection.
Multim. Tools Appl., June, 2025

Efficient Symbolic Execution of Software under Fault Attacks.
CoRR, March, 2025

Can LLMs Formally Reason as Abstract Interpreters for Program Analysis?
CoRR, March, 2025

An Incremental Algorithm for Algebraic Program Analysis.
Proc. ACM Program. Lang., 2025

Decentralized Web3 Non-Fungible Token Community for Societal Prosperity? A Social Capital Perspective.
Proc. ACM Hum. Comput. Interact., 2025

A dynamic ensemble learning model for robust Graph Neural Networks.
Neural Networks, 2025

Fortifying graph neural networks against adversarial attacks via ensemble learning.
Knowl. Based Syst., 2025

A novel approach to unlocking the synergy of large language models and chemical knowledge in biomedical signal applications.
Biomed. Signal Process. Control., 2025

Hyperspectral Methane Plume Segmentation Through Foundation Computer Vision Models.
IEEE Access, 2025

Decentralization Funded by Centralization: Understanding Crypto Joint-Investment Network.
Proceedings of the 17th ACM Web Science Conference 2025, 2025

DROIT: A Distributed Robustness Optimization Scheme with Local Information for IoT Topology.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2025

Learning Interleaved Image-Text Comprehension in Vision-Language Large Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Meta-Conscious Driven Domain-Aware Federated Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MST-HA: Multi-Modal Signal Fusion with Bayesian Optimization for Robust Industrial Robot Joint Health Assessment.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Deep Reinforcement Learning-Based Optimal PMU Placement Considering the Degree of Power System Observability.
IEEE Trans. Ind. Informatics, June, 2024

Harnessing dynamic heterogeneous redundancy to empower deep learning safety and security.
Secur. Saf., 2024

Federated semi-supervised representation augmentation with cross-institutional knowledge transfer for healthcare collaboration.
Knowl. Based Syst., 2024

An Incremental Algorithm for Algebraic Program Analysis.
CoRR, 2024

VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models.
CoRR, 2024

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
CoRR, 2024

Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective.
CoRR, 2024

AnFiS-MoH: Systematic exploration of hybrid ANFIS frameworks via metaheuristic optimization hybridization with evolutionary and swarm-based algorithms.
Appl. Soft Comput., 2024

ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System.
Proceedings of the ACM on Web Conference 2024, 2024

Ta Based Damascene Resonators.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Enhancing Multimodal Rumor Detection with Statistical Image Features and Modal Alignment via Contrastive Learning.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Enhancing Cross-Modal Alignment in Multimodal Sentiment Analysis via Prompt Learning.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

How Do Emotional Tasks Influence Information Seeking Behavior?
Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, 2024

Camouflaged Object Detection using Multi-Level Feature Cross-Fusion.
Proceedings of the International Joint Conference on Neural Networks, 2024

Multimodal Rumor Detection via Multimodal Prompt Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Prompt Fusion Interaction Transformer For Aspect-Based Multimodal Sentiment Analysis.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Understanding Partnership in Scientific Collaborations: A Preliminary Study from the Paper-level Perspective.
Proceedings of Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024) co-located with the ( iConference2024), 2024

2023
Harnessing Web3 on Carbon Offset Market for Sustainability: Framework and A Case Study.
IEEE Wirel. Commun., October, 2023

TeCre: A Novel Temporal Conflict Resolution Method Based on Temporal Knowledge Graph Embedding.
Inf., 2023

Leveraging Reinforcement Learning and Large Language Models for Code Optimization.
CoRR, 2023

Multimodal Rumor Detection by Using Additive Angular Margin with Class-Aware Attention for Hard Samples.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Boundary Guided Feature Fusion Network for Camouflaged Object Detection.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Emphasizing Boundary-Positioning and Leveraging Multi-scale Feature Fusion for Camouflaged Object Detection.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation.
Proceedings of the International Conference on Machine Learning, 2023

2022
PTrustE: A high-accuracy knowledge graph noise detection method based on path trustworthiness and triple embedding.
Knowl. Based Syst., 2022

Spatial-Temporal Energy Management of Base Stations in Cellular Networks.
IEEE Internet Things J., 2022

Automatic Maturity Rating for Android Apps.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

2020
A Privacy-Preserving Multi-Task Framework for Knowledge Graph Enhanced Recommendation.
IEEE Access, 2020

2018
The position of speed bump in front of truck scale based on vehicle vibration performance.
J. Intell. Fuzzy Syst., 2018

Adaptive robust control for Active suspension System using T-S fuzzy Model Approach.
Mechatron. Syst. Control., 2018

X-Diag: Automated Debugging Cross-Browser Issues in Web Applications.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

2017
T-S Fuzzy Model Based <i>H</i>-Infinity Control for 7-DoF Automobile Electrohydraulic Active Suspension System.
J. Control. Sci. Eng., 2017


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