Topics of AICSP 2026 征稿主题
Original and high-quality papers are invited from the potential authors. The topics include, but are not limited to:
| Track 1: Advanced Algorithms and Computational Foundations | Track 3: Next-Generation Signal Processing and Information Fusion |
| Theoretical Algorithms | Intelligent Signal Processing |
| Optimization Algorithms (convex, non-convex, stochastic) | Statistical and Sparse Signal Processing |
| Online Learning and Multi-armed Bandit Algorithms | AI-Enhanced Signal Processing for Communications, Audio, and Video |
| Graph Algorithms and Network Analysis | Event-Based and Neuromorphic Signal Processing |
| Quantum and Bio-inspired Algorithms | Sensor Fusion and Information Integration |
| Machine Learning & AI Algorithms | Multi-sensor, Multi-modal Data Fusion Algorithms |
| Reinforcement Learning and Adaptive Dynamic Programming | Bayesian Filtering, Kalman Filtering, and their Deep Learning Variants |
| Federated, Distributed, and Swarm Learning Algorithms | Signal Processing for Internet of Things (IoT) and Sensor Networks |
| Deep Learning Architectures (Transformers, GANs, Diffusion Models) for System Modeling | Emerging Signal Processing Frontiers |
| Explainable AI (XAI) and Interpretable Algorithmic Decision-Making | Integrated Sensing and Communications (ISAC) |
| Track 2: Intelligent Control and Autonomous Systems | Signal Processing for Next-Generation (6G) Wireless Systems |
| Adaptive and Learning Control | Biomedical and Neuro-Signal Decoding and Analysis |
| Model Predictive Control and Data-Driven Control | Track 4: Cross-Cutting and Integrative Themes |
| Neural Network-based Control and Fuzzy Logic Control | Security and Trustworthiness |
| Control of Networked Systems and Cyber-Physical Systems (CPS) | Secure Control Systems under Cyber Attacks |
| Autonomy and Robotics | Adversarial Machine Learning in Signal Processing and Control |
| Perception, Planning, and Control for Autonomous Systems | Privacy-Preserving Signal Processing and Federated Control |
| Multi-agent and Swarm Robotics: Coordination and Consensus Algorithms | Efficiency and Real-World Deploymen |
| Human-in-the-Loop and Shared Control Systems | Edge AI for Real-Time Control and Signal Processing |
| Intelligent Systems Applications | Lightweight and Energy-Efficient Algorithm Design |
| Intelligent Transportation and Autonomous Vehicles | Hardware/Software Co-design for Embedded Intelligent Systems |
| Smart Grid and Energy Management Systems | |
| Precision Agriculture and Industrial Automation |