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1. Teaching Video Diffusion Model with Latent Physical Phenomenon Knowledge

2. Open-Vocabulary Remote Sensing Image Semantic Segmentation

3. Efficient finite element modeling of photonic modal analysis augmented by combined symmetry

4. Amplified Light Beam Cooling via Emergent Onsager's Irreversible Thermodynamics

5. AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model

6. Discovery of Green's function based on symbolic regression with physical hard constraints

7. When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain

8. Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning

9. A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM

10. Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting

11. Discovering an interpretable mathematical expression for a full wind-turbine wake with artificial intelligence enhanced symbolic regression

12. Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs

13. Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research

14. LLM4ED: Large Language Models for Automatic Equation Discovery

15. Nonequilibrium transport and the fluctuation theorem in the thermodynamic behaviors of nonlinear photonic systems

16. CVTN: Cross Variable and Temporal Integration for Time Series Forecasting

17. Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning

18. A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy

19. Geometric Phase-Driven Scattering Evolutions

20. Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution

21. Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression

22. Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data

23. Domain Prompt Learning with Quaternion Networks

24. Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training

25. CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting

26. MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts

27. AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN

28. A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing

29. QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data

30. Efficient and accurate numerical-projection of electromagnetic multipoles for scattering objects

31. Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence

32. Filtered Partial Differential Equations: a robust surrogate constraint in physics-informed deep learning framework

33. Domain-Controlled Prompt Learning

34. Interpretable AI-Driven Discovery of Terrain-Precipitation Relationships for Enhanced Climate Insights

35. Physics-constrained robust learning of open-form partial differential equations from limited and noisy data

36. Worth of knowledge in deep learning

37. Multi-Mode Optical Chirality Extremizations on Incident Momentum Sphere

38. Reflection Invariance Learning for Few-shot Semantic Segmentation

44. Patients with ASPSCR1-TFE3 fusion achieve better response to ICI based combination therapy among TFE3-rearranged renal cell carcinoma

47. Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting

48. Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation

49. Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition

50. Progressively Dual Prior Guided Few-shot Semantic Segmentation

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