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, Natural Language Processing.
• Data Mining and Data Science in Real-world Applications.

Eduction 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 in the State University of New York.

Academic Activities

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

Publications

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)
• Graph Bayesian Optimization for Multiplex Influence Maximization
  Z. Yuan, Minglai Shao*, Z. Chen
  The Annual AAAI Conference on Artificial Intelligence (AAAI) (CCF A)
• 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.