| 2026 | AAAI | SkillGen: Learning Domain Skills for In-Context Sequential Decision Making. | Ruomeng Ding, Wei Cheng, Minglai Shao, Chen Zhao |
| 2026 | AAAI | LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs. | Bing Hao, Minglai Shao, Zengyi Wo, Yunlong Chu, Yuhang Liu, Ruijie Wang |
| 2026 | AAAI | Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models. | Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu |
| 2026 | AAAI | LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs. | Xiaoxu Ma, Dong Li, Minglai Shao, Xintao Wu, Chen Zhao |
| 2026 | DASFAA | DynSpectral: A Multi-channel Temporal Spectral GNN with Frequency Decomposition for Dynamic Graphs. | Runguo Tao, Tianpeng Li, Minglai Shao, Wenjun Wang, Xuan Guo, Yueheng Sun |
| 2026 | WWW | Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation. | Qin Tian, Chen Zhao, Xintao Wu, Dong Li, Minglai Shao, Xujiang Zhao, Wenjun Wang |
| 2026 | SIGIR | Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment. | Yuhang Liu, Minglai Shao, Zengyi Wo, Yunlong Chu, Bing Hao, Shengzhong Liu, Ruijie Wang, Jianxin Li |
| 2025 | DASFAA | Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning. | Chang Liu, Zengyi Wo, Minglai Shao, Wenjun Wang, Qin Tian |
| 2025 | EMNLP | A Survey on LLM-powered Agents for Recommender Systems. | Qiyao Peng, Hongtao Liu, Hua Huang, Jian Yang, Qing Yang, Minglai Shao |
| 2025 | ICASSP | GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models. | Zhixia He, Chen Zhao, Minglai Shao, Yujie Lin, Dong Li, Qin Tian |
| 2025 | ICASSP | Hypergraph-Based Dynamic Graph Node Classification. | Xiaoxu Ma, Chen Zhao, Minglai Shao, Yujie Lin |
| 2025 | IJCAI | HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender. | Xiangfu He, Qiyao Peng, Minglai Shao, Hongtao Liu |
| 2025 | IJCAI | FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models. | Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao |
| 2025 | IJCAI | Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. | Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-E Wang, Chunming Hu, Xianxian Li, Xingcheng Fu |
| 2025 | IJCAI | Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. | Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao |
| 2025 | KDD | MLDGG: Meta-Learning for Domain Generalization on Graphs. | Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li |
| 2025 | KDD | Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection. | Zengyi Wo, Minglai Shao, Shiyu Zhang, Ruijie Wang |
| 2025 | SDM | Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs. | Ruomeng Ding, Xujiang Zhao, Chen Zhao, Minglai Shao, Zhengzhang Chen, Haifeng Chen |
| 2024 | AAAI | Graph Bayesian Optimization for Multiplex Influence Maximization. | Zirui Yuan, Minglai Shao, Zhiqian Chen |
| 2024 | CIKM | Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously. | Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang |
| 2024 | IJCAI | Graph Collaborative Expert Finding with Contrastive Learning. | Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao |
| 2024 | IJCAI | Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. | Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen |
| 2024 | IJCAI | Supervised Algorithmic Fairness in Distribution Shifts: A Survey. | Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian |
| 2024 | KSEM | Diffusion Review-Based Recommendation. | Xiangfu He, Qiyao Peng, Minglai Shao, Yueheng Sun |
| 2024 | WWW | Graph Contrastive Learning via Interventional View Generation. | Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin |
| 2023 | CIKM | Adaptation Speed Analysis for Fairness-aware Causal Models. | Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen |
| 2023 | CIKM | Multi-Order Relations Hyperbolic Fusion for Heterogeneous Graphs. | Junlin Li, Yueheng Sun, Minglai Shao |
| 2023 | CIKM | Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. | Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao |
| 2023 | EMNLP | Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling. | Yuanjun Shi, Linzhi Wu, Minglai Shao |
| 2023 | KSEM | Robust Few-Shot Graph Anomaly Detection via Graph Coarsening. | Liting Li, Yueheng Sun, Tianpeng Li, Minglai Shao |
| 2023 | KSEM | Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning. | Jingyuan Zhang, Wenjun Wang, Tianpeng Li, Minglai Shao, Jiye Liu, Yueheng Sun |
| 2022 | ICANN | Dual Perspective Contrastive Learning Based Subgraph Anomaly Detection on Attributed Networks. | Songlin Hu, Minglai Shao |
| 2022 | WWW | Towards a Multi-View Attentive Matching for Personalized Expert Finding. | Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang |
| 2021 | APSEC | PGraph: A Graph-based Structure for Interactive Event Exploration on Social Media. | Yang Yu, Minglai Shao, Hongyan Xu, Ying Sun, Wenjun Wang, Bofei Ma |
| 2018 | INFOCOM | An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks. | Minglai Shao, Jianxin Li, Feng Chen, Xunxun Chen |
| 2017 | WWW | An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks. | Minglai Shao, Jianxin Li, Feng Chen, Hongyi Huang, Shuai Zhang, Xunxun Chen |