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• Tackling Data Heterogeneity in Federated Time Series Forecasting
  2024 · 8 citations
• Self-Distilled Reinforcement Learning for Co-Evolving Agentic Recommender Systems
  2026
• When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study
  2026
• Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
  2025
• Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation
  2025
• The Emergence of Deep Reinforcement Learning for Path Planning
  2025
• The Emergence of Deep Reinforcement Learning for Path Planning
  2025
• Sequence-Aware Factorization Machines for Temporal Predictive Analytics
  2019
• Tackling Data Heterogeneity in Federated Time Series Forecasting
  2024