The 2025 International Conference on
Opto-Electronic Engineering, Deep Learning and Algorithm
September 12-14, 2025​
CALL FOR PAPERS
2025 International Conference on Opto-Electronic Engineering, Deep Learning and Algorithm (OEDLA 2025) invites the submission of original research papers in the fields of Opto-Electronic Engineering, Deep Learning and Algorithm to be published in the conference proceedings. Each submission is anonymously reviewed by independent reviewers, to ensure the final high standard and quality of submitted papers. Accepted papers will be presented as either oral or poster at the conference.
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Additional topics of interest include but are not limited to:​​​​​​
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The Application of Deep learning in Electronic Engineering
Image Recognition Technology
Speech and Audio Signal Processing
Deep Learning in Electronic Design Automation (EDA)
Topological Structure Information
Signal Integrity Analysis
Electromagnetic Interference Assessment
Optimization of Circuit Design
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Interdisciplinary Direction of Electronic Engineering and Deep Learning
Intelligent hardware and edge computing
Specialized chip design for deep learning acceleration
Energy efficiency ratio improvement and heat dissipation management of low-power AI chips
Model compression and real-time inference technologies on edge devices
Signal processing and sensing system
The Application of Deep Learning in Radar and Communication Signal Processing
Intelligent diagnostic algorithms in biomedical signal processing (EEG, ECG)
Sensor fusion and multi-modal perception technology
Electromagnetic field and Microwave technology
Ai-driven electromagnetic simulation and antenna design optimization
Intelligent beamforming and Resource Allocation algorithms in Wireless communication
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Innovation in Deep Learning Algorithms and Theories
Model architecture and training paradigm
Lightweight network design
The Application of Self-supervised Learning and Contrastive Learning in Few-shot scenarios
Optimization strategies of Neural Architecture Search (NAS) in specific tasks
Optimization algorithms and theoretical breakthroughs
A new gradient descent algorithm for non-convex optimization problems
Privacy protection technologies in federated Learning and distributed training
Robustness improvement of deep learning models
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Algorithm Optimization and Cross-Domain Applications
Computer vision and Image Processing
Lightweight object detection algorithms (such as YOLO series optimization)
Deep learning techniques in 3D reconstruction and point cloud processing
Video super-resolution and dynamic scene understanding
Natural language processing and multimodal fusion
Lightweight deployment of large Language Models (LLMS) and industry adaptation
Speech-text-image multimodal generation and alignment technology
Cross-language translation and low-resource language processing
Reinforcement learning and Decision Optimization
The Application of Deep Reinforcement Learning in Robot Control
Path planning and resource scheduling in intelligent transportation systems
Game Theory and Multi-agent cooperative Decision-making algorithms
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Optical and Electronic Engineering
New Optoelectronic Devices
Optoelectronic Materials
Optoelectronic Integration Technology and Systems
Optoelectronic Chip
Photonic Integrated Circuit
Advanced Optical Imaging Technology
Optical Image Processing And Algorithms
Computational Optics And Artificial Intelligence
Photoelectric Sensor
Photoelectric Detection Technology
Photovoltaic Energy And Environmental Protection
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Optical Communication and Networks
High-Speed Optical Communication Technology
Optical Fiber Communication
Optical Network Architecture And Protocols
Signal Processing Technology
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Industry Applications and Emerging Directions
Intelligent Internet of Things (AIoT)
Predictive maintenance and anomaly detection in the Industrial Internet of Things
Environmental perception and user behavior modeling in smart homes
Crop growth prediction and precise irrigation in Agricultural Internet of Things
Medical health and bioinformatics
AI algorithms in Genomics and Protein Structure Prediction
Energy and Sustainable Development
Load forecasting and Fault Diagnosis in Smart Grid
Optimal control in new energy systems