Minglai Shao (邵明来), Ph.D., 博导 Tenured Associate Professor (英才副教授，特聘研究员) School of New Media and Communication Tianjin University, China Contact: shaoml@tju.edu.cn google scholar

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We are looking for highly motivated Ph.D., master, and undergraduate students to join our group. If you are interested in the position, please send your application to Prof. Shao.

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Research Interests

• Deep Learning, Machine Learning, Trustworthy AI.
• Anomaly Detection, Graph Mining.
• Intelligent Communication, Recommender Systems, LLM.
• Data Mining and Data Science in Real-world Applications.

Education Experience

Minglai Shao received his doctoral degree in the School of Computer Science and Engineering from Beihang University, under the supervision of Prof. Jianxin Li. He was a visiting scholar at the State University of New York.

Academic Activities

• PC：WWW, IJCAI, KDD, AAAI, WSDM, CIKM, ECAI, etc.
• Reviewer: TPAMI, WWW, IJCAI, TDSC, TIFS, TKDE, TKDD, ICDM, WSDM, KDD, AAAI, TNNLS, NIPS, etc.

Publications

2025

• MLDGG: Meta-Learning for Domain Generalization on Graphs
  Q. Tian, C. Zhao, Minglai Shao*, W. Wang, Y. Lin, D. Li
  In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025) (CCF A)
• 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.
  In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025) (CCF A)
• Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
  Yumeng Wang#, Zengyi Wo#, Wang Wenjun, Xingcheng Fu, Minglai Shao*
  In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025) (CCF A)
• HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender
  X. He, Q. Peng, Minglai Shao, H. Liu.
  In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025) (CCF A)
• Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
  yudan song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Xingcheng Fu, Minglai Shao, Li-e Wang, Chunming Hu, Xianxian Li
  In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025) (CCF A)
• Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection
  In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025) (CCF A)
• GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Model.
  Z. He, C. Zhao, Minglai Shao*, Y. Lin, D. Li, Q. Tian
  In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2025 (CCF B)
• Hypergraph-Based Dynamic Graph Node Classification.
  X. Ma, C. Zhao, Minglai Shao*, Y. Lin
  In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2025 (CCF B)
• Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs.
  R. Ding, X. Zhao, C. Zhao, Minglai Shao*, Z. Chen, H. Chen
  In Proceedings of the SIAM International Conference on Data Mining, 2025 (CCF B)
• Graph Out-of-Distribution Generalization through Contrastive Learning Paradigm.
  H. Du, X. Li, Minglai Shao*
  Knowledge-Based Systems, 2025 (SCI 1区)
• Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation.
  T. Yin, C. Zhao, X.Liu, Minglai Shao*
  Knowledge-Based Systems, 2025 (SCI 1区)
• Temporal Multivariate-factors Independence Convolution Network for Anomaly Detection in Dynamic Networks.
  Y. Yu, Minglai Shao*, X. Li, W. Wang
  Neurocomputing, 2025
• Temporal Subgraph Contrastive Learning for Anomaly Detection on Dynamic Attributed Graphs.
  Y. Yu, X. Li, Minglai Shao, Y. Sun, W. Wang
  Applied Intelligence, 2025
• Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning.
  C. Liu, Z. Wo Minglai Shao*, W. Wang, Q. Tian
  The 30th International Conference on Database Systems for Advanced Applications, 2025 (CCF B)
• A comprehensive survey on GNN‑based anomaly detection: taxonomy, methods, and the role of large language models.
  Z. Yuan, Q. Sun, H. Zhou, Minglai Shao, X. Fu
  International Journal of Machine Learning and Cybernetics
• [Orgnizer, Chair] The 2nd Challenge on Characterizing User Behavior in Social Networks: Propagation, Prediction, and Sensemaking
  IJCAI2025
• [Orgnizer, Chair] The 3rd Challenge on Characterizing User Behavior in Social Networks: Propagation, Prediction, and Sensemaking
  ISWC2025
• [Orgnizer, Chair] The 2nd Workshops on Advances in Robust and Reliable Machine Learning
  ARRML @ SDM'25

2024

• Graph Collaborative Expert Finding with Contrastive Learning
  Q.Peng, H. Liu, C. Huo, Minglai Shao*, W. Wang
  The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) (CCF A)
• Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
  Y. Lin, C. Zhao, Minglai Shao*, B. Meng, X. Zhao, H., Chen
  The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) (CCF A)
• Supervised Algorithmic Fairness in Distribution Shifts: A Survey
  Minglai Shao*, Li, C. Zhao, X. Wu, Y. Lin, Tian
  The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) (CCF A)
• Graph Bayesian Optimization for Multiplex Influence Maximization
  Z. Yuan, Minglai Shao*, Z. Chen
  The Annual AAAI Conference on Artificial Intelligence (AAAI 2024) (CCF A)
• Graph Contrastive Learning via Interventional View Generation
  Z., Minglai Shao*, et al
  The ACM Web Conference 2024 (WWW 2024) (CCF A)
• Deep Expertise and Interest Personalized Transformer for Expert Finding
  Y. Wang, Q.Peng, H. Liu, H. Xu, Minglai Shao*, W. Wang*
  Information Processing & Management (IPM) (SCI 1区)
• Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously.
  D. Li, C. Zhao, Minglai Shao*, W. Wang*.
  In Proceedings of the ACM International Conference on Information and Knowledge Management(CIKM), 2024 (CCF B)
• Dynamic heterogeneous graph contrastive networks for knowledge tracing.
  Y. Han, H. Tang, W. Zhang, L. Du, J. Zhao, Minglai Shao
  Applied Soft Computing, 2024 (SCI 1区)
• Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum
  Z. Wo, W. Wang, Minglai Shao*, C. Liu, Y. Wang, Y. Sun
  30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshops. (CCF A-W)
• Out-of-Distribution Detection for Heterogeneous Graph Neural Networks
  T. Yin, C. Zhao, Minglai Shao*
  30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshops. (CCF A-W)
• HyperDG: A Hypergraph-Based Approach for Dynamic Graph Node Classification under Spatio-Temporal Shift
  X. Ma, C. Zhao, Minglai Shao*
  30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshops. (CCF A-W)
• IDGG: Invariant Learning for Out-of-Distribution Generalization on Graphs
  Q. Tian, W. Wang, Minglai Shao*,C. Zhao, D. Li
  30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshops. (CCF A-W)
• Semantic OOD Detection under Covariate Shift on Graphs with Diffusion Model
  Z. He, C. Zhao, Minglai Shao*, Y. Lin, D. Li
  30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshops. (CCF A-W)
• Fair Data Generation via Score-based Diffusion Model
  Y. Lin, D. Li, C. Zhao, Minglai Shao*
  30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshops. (CCF A-W)
• Improving Fairness in Graph Neural Networks via Counterfactual Debiasing
  Z. Wo, C. Liu, C. Zhao, Y. Wang, Minglai Shao*, W. Wang
  30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshops. (CCF A-W)
• CeDFormer: Community Enhanced Transformer for Dynamic Network Embedding
  J. Guo, T. Li, Minglai Shao, W. Wang, et al
  30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshops. (CCF A-W)
• LLM: Harnessing Large Language Models for Personalized Review Generation
  Q Peng, H Liu, H Xu, Q Yang, M Shao, W Wang
  arXiv preprint arXiv:2407.07487
• Diffusion Review-based Recommendation
  X. He, Q.Peng, Minglai Shao, Y. Sun
  The 17th International Conference on Knowledge Science, Engineering and Management
• [Orgnizer, Chair] Workshops on Robust Machine Learning for Distribution Shifts (RobustMLDS)
  1st workshop at IEEE Bigdata'24
• [Orgnizer, Chair] 2024 IEEE Big Data Cup： Challenges of Trustworthy AI in Distribution Shifts and Algorithmic Fairness
  1st BigData Cup Challenges at IEEE Bigdata'24

2023

• Motif-level Anomaly Detection in Dynamic Graphs[J]
  Z. Yuan, Minglai Shao* , Q. Yan
  IEEE Transactions on Information Forensics and Security (TIFS), 2023. (CCF A, SCI 1区)
• Multi-view Change Point Detection in Dynamic Networks[J]
  Y. Xie, W. Wang, Minglai Shao* , T. Li, Y. Yu
  Information Sciences, 2023. (CCF B, SCI 1区)
• Heterogeneous Network Representation Learning Based on Role Feature Extraction
  Y. Sun, M. Jia, C, Liu, Minglai Shao*
  Pattern Recognition, 2023. (CCF B, SCI 1区)
• Contrastive Representation Learning Based on Multiple Node-centered Subgraphs.
  D. Li, W. Wang, Minglai Shao* , C. Zhao.
  In Proceedings of the ACM International Conference on Information and Knowledge Management (full paper, oral), 2023 (CCF B)
• Multi-Order Relations Hyperbolic Fusion for Heterogeneous Graphs.
  J. Li, Y. Sun, Minglai Shao* .
  In Proceedings of the ACM International Conference on Information and Knowledge Management (full paper, oral), 2023 (CCF B)
• Adaptation Speed Analysis for Fairness-aware Causal Models.
  Y. Lin, C. Zhao, Minglai Shao* , X. Zhao and H. Chen.
  In Proceedings of the ACM International Conference on Information and Knowledge Management (full paper, oral), 2023 (CCF B)
• Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling.
  Y. Shi, Wu, Minglai Shao*
  The 2023 Conference on Empirical Methods in Natural Language Processing(EMNLP), (CCF B)
• Learning Graph Deep Autoencoder for Anomaly Detection in Multi-attributed Networks.
  Minglai Shao, Y. Lin, Q. Peng, W., Y. Sun
  Knowledge-Based Systems, 2023. (SCI 1区)
• RHGNN: Fake Reviewer Detection Based on Reinforced Heterogeneous Graph Neural Networks
  J. Zhao, Minglai Shao, H. Tang, J. Liu, L. Du, H, Wang.
  Knowledge-Based Systems, 2023. (SCI 1区)
• Robust Few-shot Graph Anomaly Detection via Graph Coarsening.
  L. Li, Y. Sun, T. Li, and Minglai Shao* .
  The 16th International Conference on Knowledge Science, Engineering and Management, 2023.
• Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning.
  J. Zhang, W. Wang, T. Li , Minglai Shao* , et al.
  The 16th International Conference on Knowledge Science, Engineering and Management, 2023.
• Learning Fair and Domain Generalization Representation.
  C. Zhao, Minglai Shao* , X. Zhao,
  The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshop on Ethical Artificial Intelligence: Methods and Applications (KDD-EAI), 2023. (CCF A-W)
• Adaptation Speed of Causal Models Concerning Fairness.
  Y. Lin, C. Zhao, Minglai Shao* , X. Zhao, H. Chen.
  The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshop on Ethical Artificial Intelligence: Methods and Applications (KDD-EAI), 2023. (CCF A-W)
• Achieving Counterfactual Fairness in Changing Environments via Sequential Autoencoder.
  Y. Lin, C. Zhao, Minglai Shao* , X. Zhao, B. Meng, H. Chen
  NeurIPS Workshop on Algorithmic Fairness through the Lens of Time (AFT), 2023 (CCF A-W)
• Detecting Multi-Label Out-of-Distribution Nodes on Graphs
  X. Zhao, C. Zhao, Minglai Shao*
  Thirty-Seventh AAAI Conference on Artificial Intelligence Workshops 2023. (CCF A-W)
• Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains
  Y. Lin, C. Zhao, Minglai Shao*, B. Meng, X. Zhao, H. Chen.
  arXiv preprint arXiv:2309.13005, 2023.
• Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure[J].
  Y. Wang, W. Wang, Minglai Shao, et al.
  Algorithms, 2023, 16(5): 234.

Prior to 2023

• Towards a Multi-view Attentive Matching for Personalized Expert Finding [C].
  Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao*, Wenjun Wang.
  Proceedings of the ACM Web Conference (WWW), 2022 (CCF-A)
• IISD: Integrated interaction subgraph detection for event mining[J]
  Y. Yu, W. Wang, N. Wu, Liu H., Minglai Shao*
  Knowledge-Based Systems, 2022. (SCI 1区)
• Cyber threat prediction using dynamic heterogeneous graph learning[J]
  Jun Zhao, Minglai Shao, Hong Wang, Xiaomei Yu, Bo Li, Xudong Liu
  Knowledge-Based Systems, 2022 (SCI 1区)
• Towards Comprehensive Expert Finding with a Hierarchical Matching Network
  Qiyao Peng, Wenjun Wang, Hongtao Liu, Minglai Shao*
  Knowledge-Based Systems, 2022 (SCI 1区)
• Combining Heterogeneity of Anchor Nodes for Network Alignment[J]
  Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao*, Hongtao Liu, Wei Liang, Lin Pan.
  Knowledge-Based Systems, 2022. (SCI 1区)
• Multi-users Interaction Anomalous Subgraph Detection for Event Mining.
  Yang Yu, Wenjun Wang, Minglai Shao, Nannan Wu, Ying Sun, Yueheng Sun, Qiang Tian.
  Neurocomputing, 2022.
• Dual Perspective Contrastive Learning Based Subgraph Anomaly Detection on Attributed Networks
  Sunlin Hu, Minglai Shao*
  31st International Conference on Artificial Neural Networks, 2022.
• Role-Oriented Dynamic Network Embedding.
  Ting Pan, Wenjun Wang, Minglai Shao*, Yueheng Sun, and Pengfei Jiao.
  2022 IEEE International Conference on Big Data.
• Expertise-oriented Explainable Question Routing
  Yulu Li, Qiyao Peng, Hongtao Liu, Minglai Shao* , Pengfei Jiao, and Wenjun Wang.
  EAI CollaborateCom 2022.
• Geometry Interaction Network Alignment.
  Yinghui Wang, Wenjun Wang, Zixu Zhen, Qiyao Peng, Pengfei Jiao, Wei Liang, Minglai Shao, Yueheng Sun.
  Neurocomputing, 2022.

• Structured sparsity model based trajectory tracking using private location data release[J]
  Minglai Shao, Jianxin Li, Qiben Yan, Feng Chen, Hongyi Huang, Xunxun Chen
  IEEE Transactions on Dependable and Secure Computing (TDSC), 2021 (CCF A, SCI 1区)
• MASA: An efficient framework for anomaly detection in multi-attributed networks[J]
  Minglai Shao, Jianxin Li, Yue Chang, Jun Zhao, Xunxun Chen.
  Computers & Security, 2021. (CCF B)
• A novel combined dynamic ensemble selection model for imbalanced data to detect COVID-19 from complete blood count[J].
  Jiachao Wu, Jiang Shen, Man Xu, Minglai Shao*.
  Computer Methods and Programs in Biomedicine, 2021. (SCI Q1)
• PGraph: A Graph-based Structure for Interactive Event Exploration on Social Media[C]
  Yang Yu, Minglai Shao*, Hongyan Xu, Ying Sun, Wenjun Wang, Bofei Ma.
  2021 2th Asia-Pacific Software Engineering Conference (APSEC). IEEE, 2021: 72-1.
• Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning[J].
  Jun Zhao, Minglai Shao, Hao Peng, Hong Wang, Bo Li, Xudong Liu.
  Knowledge-Based Systems, 2021.(SCI 1区)
• Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning[J]
  Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng, Lichao Sun.
  Computers & Security, 2021.(CCF B)

• Multi-attributed heterogeneous graph convolutional network for bot detection[J].
  Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng.
  Information Sciences, 2020. (CCF B, SCI 1区)
• Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks[J].
  Minglai Shao, Peiyuan Sun, Jianxin Li, Qiben Yan, Zhirui Feng.
  Neurocomputing, 2020.
• TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data[J].
  Jun Zhao, Qiben Yan, Jianxin Li, Minglai Shao, Zuti He, Bo Li.
  Computers & Security, 2020, 95: 10167. (CCF B)
• An efficient framework for detecting evolving anomalous subgraphs in dynamic networks[C]
  Minglai Shao, Jianxin Li, Feng Chen, Xunxun Chen.
  IEEE INFOCOM 201-IEEE Conference on Computer Communications (INFOCOM), 201 (CCF A)
• An efficient approach to event detection and forecasting in dynamic multivariate social media networks[C]
  Minglai Shao, Jianxin Li, Feng Chen, Hongyi Huang, Shuai Zhang, Xunxun Chen.
  Proceedings of the 26th International Conference on World Wide Web(WWW), 2017 (CCF A)
• Stacked kernel network[J].
  Shuai Zhang, Jianxin Li, Pengtao Xie, Yingchun Zhang, Minglai Shao, Haoyi Zhou, Mengyi Yan.
  arXiv preprint arXiv:1711.09219, 2017.
• Clustering Algorithm Combined Granular Computing, Ant Colony Algorithm and Fuzzy Idea.
  Minglai Shao, Liangxi Qin.
  Computer Technology and Development. 2015.
• Text similarity computing based on LDA topic model and word co-occurrence[C]
  Minglai Shao, Liangxi Qin.
  Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)

Awards/Honors

• The First Prize of the Second New Engineering Curriculum Design Competition of Tianjin University.
• “Best Researcher Award”
• Outstanding Graduate of Beijing.
• PhD National Scholarship.
• Zhonghangji Scholarship.
• CNCERT Outstanding Research Award.
• Top-10 Doctoral Students Candidate of Beihang University, etc.