Mingkai Lin

Venues

Frequent coauthors

Papers

1. Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method
   AAAI 2026 ·

   Zhiyuan Yu

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2. EcoTune: Edge-Cloud Collaborative Model Adaptation for Budget-Constrained On-Device SLM Personalization
   WWW 2026 ·

   Gong Chen

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3. Learnable Matrix Profile for Motif Discovery on Multivariate Time Series
   AAAI 2026 · Mingkai Lin
4. Multimodal Graph Representation Learning with Dynamic Information Pathways
   AAAI 2026 ·

   Xiaobin Hong

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5. Aggregation Mechanism Based Graph Heterogeneous Networks Distillation
   IJCAI 2025 ·

   Xiaobin Hong

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6. QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer
   IJCAI 2025 ·

   Yimiao Shao

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7. Unified Graph Neural Networks Pre-training for Multi-domain Graphs
   AAAI 2025 · Mingkai Lin
8. Label Attentive Distillation for GNN-Based Graph Classification
   AAAI 2024 ·

   Xiaobin Hong

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9. Scalable Multi-Source Pre-training for Graph Neural Networks
   ACM MM 2024 · Mingkai Lin