Mingkai Lin

9 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

AAAI ×5 IJCAI ×2 ACM MM ×1 WWW ×1

Frequent coauthors

Wenzhong Li

×9

Sanglu Lu

×7

Xiaobin Hong

×7

Chaoqun Wang

×2

Zhiyuan Yu

×1

Zhangyue Yin

×1

Shijian Xiao

×1

Gong Chen

×1

Yinke Wang

×1

Xiaoli Wang

×1

Xiangkai Ma

×1

Yimiao Shao

×1

Papers

Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method
AAAI 2026 ·
Zhiyuan Yu
, Mingkai Lin,
Wenzhong Li
,
Zhangyue Yin
,
Shijian Xiao
,
Sanglu Lu
EcoTune: Edge-Cloud Collaborative Model Adaptation for Budget-Constrained On-Device SLM Personalization
WWW 2026 ·
Gong Chen
, Mingkai Lin,
Xiaobin Hong
,
Wenzhong Li
,
Sanglu Lu
Learnable Matrix Profile for Motif Discovery on Multivariate Time Series
AAAI 2026 · Mingkai Lin,
Yinke Wang
,
Xiaobin Hong
,
Wenzhong Li
Multimodal Graph Representation Learning with Dynamic Information Pathways
AAAI 2026 ·
Xiaobin Hong
, Mingkai Lin,
Xiaoli Wang
,
Chaoqun Wang
,
Wenzhong Li
Aggregation Mechanism Based Graph Heterogeneous Networks Distillation
IJCAI 2025 ·
Xiaobin Hong
, Mingkai Lin,
Xiangkai Ma
,
Wenzhong Li
,
Sanglu Lu
QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer
IJCAI 2025 ·
Yimiao Shao
,
Wenzhong Li
,
Kang Xia
,
Kaijie Lin
, Mingkai Lin,
Sanglu Lu
Unified Graph Neural Networks Pre-training for Multi-domain Graphs
AAAI 2025 · Mingkai Lin,
Xiaobin Hong
,
Wenzhong Li
,
Sanglu Lu
Label Attentive Distillation for GNN-Based Graph Classification
AAAI 2024 ·
Xiaobin Hong
,
Wenzhong Li
,
Chaoqun Wang
, Mingkai Lin,
Sanglu Lu
Scalable Multi-Source Pre-training for Graph Neural Networks
ACM MM 2024 · Mingkai Lin,
Wenzhong Li
,
Xiaobin Hong
,
Sanglu Lu