Publications

Research that connects models and systems.

Peer-reviewed work spanning graph community search and physics-informed photovoltaic forecasting.

01

EDBT 2025 · CCF-B

Deep Skyline Community Search

Minglang Xie, Jianye Yang, Wenjie Zhang, Shiyu Yang, Xuemin Lin

A learning-driven framework for efficient skyline community search in high-dimensional attributed networks.

  • Designed Skyline Learnable GCN (SLGCN) with dominance and link losses for unsupervised representation learning.
  • Proposed Skyline Community Score and Expected Score Gain for efficient online expansion.
  • Improved query efficiency by up to roughly three orders of magnitude at five attributes while maintaining comparable accuracy.
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02

Energy · SCI TOP journal

Assessing Solar-to-PV Power Conversion Models: Physical, ML, and Hybrid Approaches Across Diverse Scales

Caixia Li, Yuanyuan Xu, Minglang Xie, Pengfei Zhang, Bohan Zhang, Bo Xiao, Sujun Zhang, Wenjie Zhang, Xiaojing Hao

A cross-scale evaluation of physical, machine-learning, and physics-informed hybrid models for photovoltaic power conversion.

  • Contributed to a hybrid framework combining a time-aware multi-layer mixer with physical IV modelling.
  • Worked on implementation, tuning, data preprocessing, error analysis, and method and experiment writing.
  • The hybrid approach reduced RMSE relative to pure ML models in complex forecasting settings.
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