Minglai Shao

According to our database, Minglai Shao authored at least 48 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deep expertise and interest personalized transformer for expert finding.

Yinghui Wang, Qiyao Peng, Hongtao Liu, Hongyan Xu, Minglai Shao, Wenjun Wang

Inf. Process. Manag., 2024

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

CoRR, 2024

Review-LLM: Harnessing Large Language Models for Personalized Review Generation.

Qiyao Peng, Hongtao Liu, Hongyan Xu, Qing Yang, Minglai Shao, Wenjun Wang

CoRR, 2024

Fair Data Generation via Score-based Diffusion Model.

Yujie Lin, Dong Li, Chen Zhao, Minglai Shao

CoRR, 2024

Graphs Generalization under Distribution Shifts.

Qin Tian, Wenjun Wang, Chen Zhao, Minglai Shao, Wang Zhang, Dong Li

CoRR, 2024

Dynamic heterogeneous graph contrastive networks for knowledge tracing.

Yehong Han, Hailiang Tang, Wenxiao Zhang, Lin Du, Jun Zhao, Minglai Shao

Appl. Soft Comput., 2024

Graph Contrastive Learning via Interventional View Generation.

Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin

Proceedings of the ACM on Web Conference 2024, 2024

Diffusion Review-Based Recommendation.

Xiangfu He, Qiyao Peng, Minglai Shao, Yueheng Sun

Proceedings of the Knowledge Science, Engineering and Management, 2024

Supervised Algorithmic Fairness in Distribution Shifts: A Survey.

Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments.

Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Graph Collaborative Expert Finding with Contrastive Learning.

Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously.

Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Graph Bayesian Optimization for Multiplex Influence Maximization.

Zirui Yuan, Minglai Shao, Zhiqian Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Heterogeneous network representation learning based on role feature extraction.

Yueheng Sun, Mengyu Jia, Chang Liu, Minglai Shao

Pattern Recognit., December, 2023

RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks.

Jun Zhao, Minglai Shao, Hailiang Tang, Jianchao Liu, Lin Du, Hong Wang

Knowl. Based Syst., November, 2023

Multi-view change point detection in dynamic networks.

Yingjie Xie, Wenjun Wang, Minglai Shao, Tianpeng Li, Yandong Yu

Inf. Sci., June, 2023

Motif-Level Anomaly Detection in Dynamic Graphs.

Zirui Yuan, Minglai Shao, Qiben Yan

IEEE Trans. Inf. Forensics Secur., 2023

Learning graph deep autoencoder for anomaly detection in multi-attributed networks.

Minglai Shao, Yujie Lin, Qiyao Peng, Jun Zhao, Zhan Pei, Yueheng Sun

Knowl. Based Syst., 2023

Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains.

Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen

CoRR, 2023

Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure.

Yinghui Wang, Wenjun Wang, Minglai Shao, Yueheng Sun

Algorithms, 2023

Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning.

Jingyuan Zhang, Wenjun Wang, Tianpeng Li, Minglai Shao, Jiye Liu, Yueheng Sun

Proceedings of the Knowledge Science, Engineering and Management, 2023

Robust Few-Shot Graph Anomaly Detection via Graph Coarsening.

Liting Li, Yueheng Sun, Tianpeng Li, Minglai Shao

Proceedings of the Knowledge Science, Engineering and Management, 2023

Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling.

Yuanjun Shi, Linzhi Wu, Minglai Shao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Adaptation Speed Analysis for Fairness-aware Causal Models.

Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Contrastive Representation Learning Based on Multiple Node-centered Subgraphs.

Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Multi-Order Relations Hyperbolic Fusion for Heterogeneous Graphs.

Junlin Li, Yueheng Sun, Minglai Shao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

IISD: Integrated Interaction Subgraph Detection for event mining.

Yang Yu, Wenjun Wang, Nannan Wu, Hongtao Liu, Minglai Shao

Knowl. Based Syst., 2022

Network Alignment enhanced via modeling heterogeneity of anchor nodes.

Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao, Hongtao Liu, Wei Liang, Lin Pan

Knowl. Based Syst., 2022

Towards comprehensive expert finding with a hierarchical matching network.

Qiyao Peng, Wenjun Wang, Hongtao Liu, Yinghui Wang, Hongyan Xu, Minglai Shao

Knowl. Based Syst., 2022

Cyber threat prediction using dynamic heterogeneous graph learning.

Jun Zhao, Minglai Shao, Hong Wang, Xiaomei Yu, Bo Li, Xudong Liu

Knowl. Based Syst., 2022

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

Geometry interaction network alignment.

Yinghui Wang, Wenjun Wang, Zixu Zhen, Qiyao Peng, Pengfei Jiao, Wei Liang, Minglai Shao, Yueheng Sun

Neurocomputing, 2022

Towards a Multi-View Attentive Matching for Personalized Expert Finding.

Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Dual Perspective Contrastive Learning Based Subgraph Anomaly Detection on Attributed Networks.

Songlin Hu, Minglai Shao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Expertise-Oriented Explainable Question Routing.

Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

Role-Oriented Dynamic Network Embedding.

Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release.

Minglai Shao, Jianxin Li, Qiben Yan, Feng Chen, Hongyi Huang, Xunxun Chen

IEEE Trans. Dependable Secur. Comput., 2021

Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning.

Jun Zhao, Minglai Shao, Hao Peng, Hong Wang, Bo Li, Xudong Liu

Knowl. Based Syst., 2021

Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning.

Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng, Lichao Sun

Comput. Secur., 2021

MASA: An efficient framework for anomaly detection in multi-attributed networks.

Minglai Shao, Jianxin Li, Yue Chang, Jun Zhao, Xunxun Chen

Comput. Secur., 2021

A novel combined dynamic ensemble selection model for imbalanced data to detect COVID-19 from complete blood count.

Jiachao Wu, Jiang Shen, Man Xu, Minglai Shao

Comput. Methods Programs Biomed., 2021

PGraph: A Graph-based Structure for Interactive Event Exploration on Social Media.

Yang Yu, Minglai Shao, Hongyan Xu, Ying Sun, Wenjun Wang, Bofei Ma

Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

2020

Multi-attributed heterogeneous graph convolutional network for bot detection.

Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng

Inf. Sci., 2020

Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks.

Minglai Shao, Peiyuan Sun, Jianxin Li, Qiben Yan, Zhirui Feng

Neurocomputing, 2020

TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data.

Jun Zhao, Qiben Yan, Jianxin Li, Minglai Shao, Zuti He, Bo Li

Comput. Secur., 2020

2018

An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks.

Minglai Shao, Jianxin Li, Feng Chen, Xunxun Chen

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017

Stacked Kernel Network.

Shuai Zhang, Jianxin Li, Pengtao Xie, Yingchun Zhang, Minglai Shao, Haoyi Zhou, Mengyi Yan

CoRR, 2017

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

Proceedings of the 26th International Conference on World Wide Web, 2017