Mingkai Lin - RankMe

20 papers A* 13A 1Journal 3Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method. AAAI Zhiyuan Yu, Mingkai Lin, Wenzhong Li, Zhangyue Yin, Shijian Xiao, Sanglu Lu
2026	A*	`conf`	EcoTune: Edge-Cloud Collaborative Model Adaptation for Budget-Constrained On-Device SLM Personalization. WWW Gong Chen, Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu
2026	A*	`conf`	Learnable Matrix Profile for Motif Discovery on Multivariate Time Series. AAAI Mingkai Lin, Yinke Wang, Xiaobin Hong, Wenzhong Li
2026	A*	`conf`	Multimodal Graph Representation Learning with Dynamic Information Pathways. AAAI Xiaobin Hong, Mingkai Lin, Xiaoli Wang, Chaoqun Wang, Wenzhong Li
2026	J	`jnl`	Multimodal Graph Representation Learning with Dynamic Information Pathways. CoRR Xiaobin Hong, Mingkai Lin, Xiaoli Wang, Chaoqun Wang, Wenzhong Li
2025	A*	`conf`	Aggregation Mechanism Based Graph Heterogeneous Networks Distillation. IJCAI Xiaobin Hong, Mingkai Lin, Xiangkai Ma, Wenzhong Li, Sanglu Lu
2025	A*	`conf`	QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer. IJCAI Yimiao Shao, Wenzhong Li, Kang Xia, Kaijie Lin, Mingkai Lin, Sanglu Lu
2025	A*	`conf`	Unified Graph Neural Networks Pre-training for Multi-domain Graphs. AAAI Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu
2024	A*	`conf`	Label Attentive Distillation for GNN-Based Graph Classification. AAAI Xiaobin Hong, Wenzhong Li, Chaoqun Wang, Mingkai Lin, Sanglu Lu
2024	A*	`conf`	Scalable Multi-Source Pre-training for Graph Neural Networks. ACM Multimedia Mingkai Lin, Wenzhong Li, Xiaobin Hong, Sanglu Lu
2023	J	`jnl`	Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling. J. Artif. Intell. Res. Mingkai Lin, Lintan Sun, Rui Yang, Xusheng Liu, Yajuan Wang, Ding Li, Wenzhong Li, Sanglu Lu
2023	—	`conf`	Learning-Based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy. KSEM (2) Ding Li, Wenzhong Li, Yizhou Chen, Xu Zhong, Mingkai Lin, Sanglu Lu
2023	A*	`conf`	Multi-Domain Generalized Graph Meta Learning. AAAI Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu
2022	A*	`conf`	Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling. WWW Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Sanglu Lu
2021	—	`conf`	Learning-Based Dynamic Graph Stream Sketch. PAKDD (1) Ding Li, Wenzhong Li, Yizhou Chen, Mingkai Lin, Sanglu Lu
2021	J	`jnl`	SAKE: Estimating Katz Centrality Based on Sampling for Large-Scale Social Networks. ACM Trans. Knowl. Discov. Data Mingkai Lin, Wenzhong Li, Lynda J. Song, Cam-Tu Nguyen, Xiaoliang Wang, Sanglu Lu
2020	A*	`conf`	ADA: Adaptive Deep Log Anomaly Detector. INFOCOM Yali Yuan, Sripriya Srikant Adhatarao, Mingkai Lin, Yachao Yuan, Zheli Liu, Xiaoming Fu
2020	A	`conf`	Balanced Influence Maximization in Attributed Social Network Based on Sampling. WSDM Mingkai Lin, Wenzhong Li, Sanglu Lu
2020	A*	`conf`	PersonalitySensing: A Multi-View Multi-Task Learning Approach for Personality Detection based on Smartphone Usage. ACM Multimedia Songcheng Gao, Wenzhong Li, Lynda J. Song, Xiao Zhang, Mingkai Lin, Sanglu Lu
2019	—	`conf`	Sampling Based Katz Centrality Estimation for Large-Scale Social Networks. ICA3PP (2) Mingkai Lin, Wenzhong Li, Cam-Tu Nguyen, Xiaoliang Wang, Sanglu Lu