Scopes
(The following topics include but are not limited to)
Track 1: Advanced Algorithms and Optimization Methods
Algorithm Design and Complexity Analysis
Approximate Algorithms and Online Algorithms
Random Algorithms and Probabilistic Methods
Quantum Algorithms and Quantum Computing
Parallel Algorithms and Distributed Algorithms
Graph Algorithms and Combinatorial Optimization
Computational Geometry and Geometric Algorithms
Numerical Optimization and Convex Optimization
Non-Convex Optimization and Global Optimization
Multi-Objective Optimization and Evolutionary Algorithms
Meta-heuristic Algorithms and Swarm Intelligence
Reinforcement Learning Algorithms and Decision Optimization
Online Learning and Online Optimization Algorithms
Game Theory Algorithms and Mechanism Design
Algorithmic Game Theory and Equilibrium Computation
Data Stream Algorithms and Sublinear Algorithms
Algorithm Engineering and Experimental Algorithmics
Track 2: Neural Networks and Deep Learning
Neural Network Foundation Theory and Models
Convolutional Neural Networks and Visual Recognition
Recurrent Neural Networks and Sequence Modeling
Transformer and Attention Mechanism
Graph Neural Networks and Graph Representation Learning
Generative Adversarial Networks and Diffusion Models
Autoencoders and Representation Learning
Spiking Neural Networks and Neuromorphic Computing
Deep Reinforcement Learning and Decision Control
Self-Supervised Learning and Contrastive Learning
Transfer Learning and Meta-Learning
Multi-Task Learning and Multimodal Learning
Federated Learning and Distributed Neural Networks
Neural Network Explainability and Visualization
Neural Network Robustness and Adversarial Attacks
Track 3: Intelligent Computing and Cross-Applications
Artificial Intelligence and Machine Learning Applications
Deep Learning and Neural Network Applications
Computer Vision and Image Processing
Natural Language Processing and Text Mining
Speech Recognition and Audio Processing
Intelligent Recommendation Systems and Personalized Services
Knowledge Graphs and Semantic Computing
Intelligent Decision Support Systems and Business Intelligence
Edge Intelligence and Embedded AI
Federated Learning and Privacy-Preserving Intelligent Computing
Interpretable AI and Trustworthy AI
Large Language Models and Generative AI
Multimodal Learning and Cross-Modal Intelligence
Embodied Intelligence and Autonomous Systems...
Track 1: Advanced Algorithms and Optimization Methods
Algorithm Design and Complexity Analysis
Approximate Algorithms and Online Algorithms
Random Algorithms and Probabilistic Methods
Quantum Algorithms and Quantum Computing
Parallel Algorithms and Distributed Algorithms
Graph Algorithms and Combinatorial Optimization
Computational Geometry and Geometric Algorithms
Numerical Optimization and Convex Optimization
Non-Convex Optimization and Global Optimization
Multi-Objective Optimization and Evolutionary Algorithms
Meta-heuristic Algorithms and Swarm Intelligence
Reinforcement Learning Algorithms and Decision Optimization
Online Learning and Online Optimization Algorithms
Game Theory Algorithms and Mechanism Design
Algorithmic Game Theory and Equilibrium Computation
Data Stream Algorithms and Sublinear Algorithms
Algorithm Engineering and Experimental Algorithmics
Track 2: Neural Networks and Deep Learning
Neural Network Foundation Theory and Models
Convolutional Neural Networks and Visual Recognition
Recurrent Neural Networks and Sequence Modeling
Transformer and Attention Mechanism
Graph Neural Networks and Graph Representation Learning
Generative Adversarial Networks and Diffusion Models
Autoencoders and Representation Learning
Spiking Neural Networks and Neuromorphic Computing
Deep Reinforcement Learning and Decision Control
Self-Supervised Learning and Contrastive Learning
Transfer Learning and Meta-Learning
Multi-Task Learning and Multimodal Learning
Federated Learning and Distributed Neural Networks
Neural Network Explainability and Visualization
Neural Network Robustness and Adversarial Attacks
Track 3: Intelligent Computing and Cross-Applications
Artificial Intelligence and Machine Learning Applications
Deep Learning and Neural Network Applications
Computer Vision and Image Processing
Natural Language Processing and Text Mining
Speech Recognition and Audio Processing
Intelligent Recommendation Systems and Personalized Services
Knowledge Graphs and Semantic Computing
Intelligent Decision Support Systems and Business Intelligence
Edge Intelligence and Embedded AI
Federated Learning and Privacy-Preserving Intelligent Computing
Interpretable AI and Trustworthy AI
Large Language Models and Generative AI
Multimodal Learning and Cross-Modal Intelligence
Embodied Intelligence and Autonomous Systems...
Important Dates/重要日期
- Submission Deadline: 2026.11.2
- Registration Deadline: 2026.11.9
- Conference Date: 2026.11.17
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: iacademic_info@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
蒋老师
+86-15680824672(微信同号)
3761629232
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