(Including but not limited to the following topics)
Track 1: Astrophysics and observational data
Celestial mechanics and orbital dynamics
Stellar structure and evolution
Galaxies and cosmology
Gravitational waves and high-energy astrophysics
Multi-wavelength and multi-messenger astronomy
Solar system and planetary science
Black holes and compact objects
Astronomical measurement and astrophysics
Astronomical telescopes and observation techniques
Astrobiology and habitability
Track 2: Astronomical data analysis and statistical methods
Astronomical big data processing and management
Multi-source data fusion and knowledge discovery
Time series analysis and transient source detection
Spectral data analysis and parameter measurement
Astronomical statistics and Bayesian inference
Data visualization and interactive analysis
Data quality assessment and uncertainty
Data archiving, retrieval and distributed computing
Joint analysis of multi-wavelength data
Astronomical data mining and anomaly detection
Track 3: Machine learning and intelligent astronomy
Deep learning and astronomical image analysis
Convolutional neural networks and galaxy morphology classification
Recurrent neural networks and time-series photometric analysis
Generative models and astronomical image reconstruction
Anomaly detection and rare celestial object discovery
Transfer learning and small-sample astronomical applications
Large language models and astronomical literature mining
Reinforcement learning and autonomous observation scheduling
AI-assisted acceleration of astrophysical simulations