Mingkai Lin

According to our database, Mingkai Lin authored at least 19 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

Gong Chen, Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu

Proceedings of the ACM Web Conference 2026, 2026

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

Zhiyuan Yu, Mingkai Lin, Wenzhong Li, Zhangyue Yin, Shijian Xiao, Sanglu Lu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Learnable Matrix Profile for Motif Discovery on Multivariate Time Series.

Mingkai Lin, Yinke Wang, Xiaobin Hong, Wenzhong Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Multimodal Graph Representation Learning with Dynamic Information Pathways.

Xiaobin Hong, Mingkai Lin, Xiaoli Wang, Chaoqun Wang, Wenzhong Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer.

Yimiao Shao, Wenzhong Li, Kang Xia, Kaijie Lin, Mingkai Lin, Sanglu Lu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Aggregation Mechanism Based Graph Heterogeneous Networks Distillation.

Xiaobin Hong, Mingkai Lin, Xiangkai Ma, Wenzhong Li, Sanglu Lu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Unified Graph Neural Networks Pre-training for Multi-domain Graphs.

Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Scalable Multi-Source Pre-training for Graph Neural Networks.

Mingkai Lin, Wenzhong Li, Xiaobin Hong, Sanglu Lu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Label Attentive Distillation for GNN-Based Graph Classification.

Xiaobin Hong, Wenzhong Li, Chaoqun Wang, Mingkai Lin, Sanglu Lu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling.

Mingkai Lin, Lintan Sun, Rui Yang, Xusheng Liu, Yajuan Wang, Ding Li, Wenzhong Li, Sanglu Lu

J. Artif. Intell. Res., 2023

Learning-Based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy.

Ding Li, Wenzhong Li, Yizhou Chen, Xu Zhong, Mingkai Lin, Sanglu Lu

Proceedings of the Knowledge Science, Engineering and Management, 2023

Multi-Domain Generalized Graph Meta Learning.

Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling.

Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Sanglu Lu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

SAKE: Estimating Katz Centrality Based on Sampling for Large-Scale Social Networks.

Mingkai Lin, Wenzhong Li, Lynda J. Song, Cam-Tu Nguyen, Xiaoliang Wang, Sanglu Lu

ACM Trans. Knowl. Discov. Data, 2021

Learning-Based Dynamic Graph Stream Sketch.

Ding Li, Wenzhong Li, Yizhou Chen, Mingkai Lin, Sanglu Lu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Balanced Influence Maximization in Attributed Social Network Based on Sampling.

Mingkai Lin, Wenzhong Li, Sanglu Lu

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

PersonalitySensing: A Multi-View Multi-Task Learning Approach for Personality Detection based on Smartphone Usage.

Songcheng Gao, Wenzhong Li, Lynda J. Song, Xiao Zhang, Mingkai Lin, Sanglu Lu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

ADA: Adaptive Deep Log Anomaly Detector.

Yali Yuan, Sripriya Srikant Adhatarao, Mingkai Lin, Yachao Yuan, Zheli Liu, Xiaoming Fu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

Sampling Based Katz Centrality Estimation for Large-Scale Social Networks.

Mingkai Lin, Wenzhong Li, Cam-Tu Nguyen, Xiaoliang Wang, Sanglu Lu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019