| 2026 | AAAI | Multimodal Graph Representation Learning with Dynamic Information Pathways. | Xiaobin Hong, Mingkai Lin, Xiaoli Wang, Chaoqun Wang, Wenzhong Li |
| 2026 | AAAI | Learnable Matrix Profile for Motif Discovery on Multivariate Time Series. | Mingkai Lin, Yinke Wang, Xiaobin Hong, Wenzhong Li |
| 2026 | AAAI | 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 |
| 2026 | INFOCOM | DEMUS: Large Multimodal Model Serving at the Edge with Diffusion-Based Scheduling. | Han Zhang, Xiangkai Ma, Tiantian Wang, Mingkai Lin, Wenzhong Li |
| 2026 | WWW | EcoTune: Edge-Cloud Collaborative Model Adaptation for Budget-Constrained On-Device SLM Personalization. | Gong Chen, Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu |
| 2025 | AAAI | Unified Graph Neural Networks Pre-training for Multi-domain Graphs. | Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu |
| 2025 | IJCAI | Aggregation Mechanism Based Graph Heterogeneous Networks Distillation. | Xiaobin Hong, Mingkai Lin, Xiangkai Ma, Wenzhong Li, Sanglu Lu |
| 2025 | IJCAI | QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer. | Yimiao Shao, Wenzhong Li, Kang Xia, Kaijie Lin, Mingkai Lin, Sanglu Lu |
| 2024 | AAAI | Label Attentive Distillation for GNN-Based Graph Classification. | Xiaobin Hong, Wenzhong Li, Chaoqun Wang, Mingkai Lin, Sanglu Lu |
| 2023 | AAAI | Multi-Domain Generalized Graph Meta Learning. | Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu |
| 2023 | KSEM | Learning-Based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy. | Ding Li, Wenzhong Li, Yizhou Chen, Xu Zhong, Mingkai Lin, Sanglu Lu |
| 2022 | WWW | Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling. | Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Sanglu Lu |
| 2021 | PAKDD | Learning-Based Dynamic Graph Stream Sketch. | Ding Li, Wenzhong Li, Yizhou Chen, Mingkai Lin, Sanglu Lu |
| 2020 | INFOCOM | ADA: Adaptive Deep Log Anomaly Detector. | Yali Yuan, Sripriya Srikant Adhatarao, Mingkai Lin, Yachao Yuan, Zheli Liu, Xiaoming Fu |
| 2020 | WSDM | Balanced Influence Maximization in Attributed Social Network Based on Sampling. | Mingkai Lin, Wenzhong Li, Sanglu Lu |
| 2019 | ICA3PP | Sampling Based Katz Centrality Estimation for Large-Scale Social Networks. | Mingkai Lin, Wenzhong Li, Cam-Tu Nguyen, Xiaoliang Wang, Sanglu Lu |