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Jingyuan Wang

Beihang University, School of Computer Science and Engineering / School of Economics and Management, Beijing, China

17 papers at tracked venues · 14 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
  2. LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
    ACL 2026 · Jingyuan Wang
  3. MiniRAG: A Lightweight RAG system with Small Language Models
  4. Re-architecting Personalized Federated Learning for Demanding Edge Environments
  5. RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models
  6. Approximation to Smooth Functions by Low-Rank Swish Networks
  7. BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis
  8. Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models
  9. Learnable Sparse Customization in Heterogeneous Edge Computing
  10. Learning Universal Multi-level Market Irrationality Factors to Improve Stock Return Forecasting
  11. POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
  12. Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction
  13. VecCity: A Taxonomy-guided Library for Map Entity Representation Learning [Experiment, Analysis & Benchmark]
  14. AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
    ICLR 2024 ·
    Kethmi Hirushini Hettige
  15. Full Bayesian Significance Testing for Neural Networks
  16. Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting
  17. Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment