An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks. - Minglai Shao 001; Jianxin Li 002; Feng Chen 001; Hongyi Huang; Shuai Zhang 026; Xunxun Chen (WWW, 2017)

Stacked Kernel Network. - Shuai Zhang 026; Jianxin Li 002; Pengtao Xie; Yingchun Zhang; Minglai Shao 001; Haoyi Zhou; Mengyi Yan (CoRR, 2017)

An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks. - Minglai Shao 001; Jianxin Li 002; Feng Chen 001; Xunxun Chen (INFOCOM, 2018)

TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data. - Jun Zhao 017; Qiben Yan; Jianxin Li 002; Minglai Shao 001; Zuti He; Bo Li 005 (Comput. Secur., 2020)

Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks. - Minglai Shao 001; Peiyuan Sun; Jianxin Li 002; Qiben Yan; Zhirui Feng (Neurocomputing, 2020)

Multi-attributed heterogeneous graph convolutional network for bot detection. - Jun Zhao 017; Xudong Liu 001; Qiben Yan; Bo Li 005; Minglai Shao 001; Hao Peng 001 (Inf. Sci., 2020)

PGraph: A Graph-based Structure for Interactive Event Exploration on Social Media. - Yang Yu 030; Minglai Shao 001; Hongyan Xu 001; Ying Sun 005; Wenjun Wang 002; Bofei Ma (APSEC, 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 001 (Comput. Methods Programs Biomed., 2021)

MASA: An efficient framework for anomaly detection in multi-attributed networks. - Minglai Shao 001; Jianxin Li 002; Yue Chang; Jun Zhao 017; Xunxun Chen (Comput. Secur., 2021)

Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning. - Jun Zhao 017; Xudong Liu 001; Qiben Yan; Bo Li 005; Minglai Shao 001; Hao Peng 001; Lichao Sun 001 (Comput. Secur., 2021)

Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning. - Jun Zhao 017; Minglai Shao 001; Hao Peng 001; Hong Wang 015; Bo Li 005; Xudong Liu 001 (Knowl. Based Syst., 2021)

Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release. - Minglai Shao 001; Jianxin Li 002; Qiben Yan; Feng Chen 001; Hongyi Huang; Xunxun Chen (IEEE Trans. Dependable Secur. Comput., 2021)

Role-Oriented Dynamic Network Embedding. - Ting Pan; Wenjun Wang 002; Minglai Shao 001; Yueheng Sun; Pengfei Jiao (IEEE Big Data, 2022)

Expertise-Oriented Explainable Question Routing. - Yulu Li; Wenjun Wang 002; Qiyao Peng 001; Hongtao Liu; Minglai Shao 001; Pengfei Jiao (CollaborateCom (1), 2022)

Dual Perspective Contrastive Learning Based Subgraph Anomaly Detection on Attributed Networks. - Songlin Hu; Minglai Shao 001 (ICANN (2), 2022)

Towards a Multi-View Attentive Matching for Personalized Expert Finding. - Qiyao Peng 001; Hongtao Liu; Yinghui Wang; Hongyan Xu 001; Pengfei Jiao; Minglai Shao 001; Wenjun Wang 002 (WWW, 2022)

Geometry interaction network alignment. - Yinghui Wang; Wenjun Wang 002; Zixu Zhen; Qiyao Peng 001; Pengfei Jiao; Wei Liang; Minglai Shao 001; Yueheng Sun (Neurocomputing, 2022)

Multi-users interaction anomalous subgraph detection for event mining. - Yang Yu 030; Wenjun Wang 002; Minglai Shao 001; Nannan Wu; Ying Sun 005; Yueheng Sun; Qiang Tian (Neurocomputing, 2022)

Cyber threat prediction using dynamic heterogeneous graph learning. - Jun Zhao 017; Minglai Shao 001; Hong Wang 015; Xiaomei Yu; Bo Li 005; Xudong Liu 001 (Knowl. Based Syst., 2022)

Towards comprehensive expert finding with a hierarchical matching network. - Qiyao Peng 001; Wenjun Wang 002; Hongtao Liu; Yinghui Wang; Hongyan Xu 001; Minglai Shao 001 (Knowl. Based Syst., 2022)

Network Alignment enhanced via modeling heterogeneity of anchor nodes. - Yinghui Wang; Qiyao Peng 001; Wenjun Wang 002; Xuan Guo; Minglai Shao 001; Hongtao Liu; Wei Liang; Lin Pan 002 (Knowl. Based Syst., 2022)

IISD: Integrated Interaction Subgraph Detection for event mining. - Yang Yu 030; Wenjun Wang 002; Nannan Wu; Hongtao Liu; Minglai Shao 001 (Knowl. Based Syst., 2022)

Multi-Order Relations Hyperbolic Fusion for Heterogeneous Graphs. - Junlin Li; Yueheng Sun; Minglai Shao 001 (CIKM, 2023)

Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. - Dong Li 034; Wenjun Wang 002; Minglai Shao 001; Chen Zhao 010 (CIKM, 2023)

Adaptation Speed Analysis for Fairness-aware Causal Models. - Yujie Lin; Chen Zhao 010; Minglai Shao 001; Xujiang Zhao; Haifeng Chen (CIKM, 2023)

Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling. - Yuanjun Shi; Linzhi Wu; Minglai Shao 001 (EMNLP, 2023)

Robust Few-Shot Graph Anomaly Detection via Graph Coarsening. - Liting Li; Yueheng Sun; Tianpeng Li; Minglai Shao 001 (KSEM (1), 2023)

Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning. - Jingyuan Zhang; Wenjun Wang 002; Tianpeng Li; Minglai Shao 001; Jiye Liu; Yueheng Sun (KSEM (4), 2023)

Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure. - Yinghui Wang; Wenjun Wang 002; Minglai Shao 001; Yueheng Sun (Algorithms, 2023)

Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains. - Yujie Lin; Chen Zhao 010; Minglai Shao 001; Baoluo Meng; Xujiang Zhao; Haifeng Chen (CoRR, 2023)

Learning graph deep autoencoder for anomaly detection in multi-attributed networks. - Minglai Shao 001; Yujie Lin; Qiyao Peng 001; Jun Zhao 017; Zhan Pei; Yueheng Sun (Knowl. Based Syst., 2023)

Motif-Level Anomaly Detection in Dynamic Graphs. - Zirui Yuan; Minglai Shao 001; Qiben Yan (IEEE Trans. Inf. Forensics Secur., 2023)

Multi-view change point detection in dynamic networks. - Yingjie Xie; Wenjun Wang 002; Minglai Shao 001; Tianpeng Li; Yandong Yu (Inf. Sci., 2023)

RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks. - Jun Zhao 017; Minglai Shao 001; Hailiang Tang; Jianchao Liu; Lin Du; Hong Wang 015 (Knowl. Based Syst., 2023)

Heterogeneous network representation learning based on role feature extraction. - Yueheng Sun; Mengyu Jia; Chang Liu; Minglai Shao 001 (Pattern Recognit., 2023)

Graph Bayesian Optimization for Multiplex Influence Maximization. - Zirui Yuan; Minglai Shao 001; Zhiqian Chen (AAAI, 2024)

Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously. - Dong Li 034; Chen Zhao 010; Minglai Shao 001; Wenjun Wang 002 (CIKM, 2024)

CeDFormer: Community Enhanced Transformer for Dynamic Network Embedding. - Jiaqi Guo; Tianpeng Li; Minglai Shao 001; Wenjun Wang 002; Lin Pan 002; Xue Chen 005; Yueheng Sun (DELTA, 2024)

Graph Collaborative Expert Finding with Contrastive Learning. - Qiyao Peng 001; Wenjun Wang 002; Hongtao Liu; Cuiying Huo; Minglai Shao 001 (IJCAI, 2024)

Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. - Yujie Lin; Chen Zhao 010; Minglai Shao 001; Baoluo Meng; Xujiang Zhao; Haifeng Chen (IJCAI, 2024)

Supervised Algorithmic Fairness in Distribution Shifts: A Survey. - Minglai Shao 001; Dong Li 034; Chen Zhao 010; Xintao Wu; Yujie Lin; Qin Tian (IJCAI, 2024)

Diffusion Review-Based Recommendation. - Xiangfu He; Qiyao Peng 001; Minglai Shao 001; Yueheng Sun (KSEM (5), 2024)

Graph Contrastive Learning via Interventional View Generation. - Zengyi Wo; Minglai Shao 001; Wenjun Wang 002; Xuan Guo; Lu Lin 001 (WWW, 2024)

Dynamic heterogeneous graph contrastive networks for knowledge tracing. - Yehong Han; Hailiang Tang; Wenxiao Zhang; Lin Du; Jun Zhao 017; Minglai Shao 001 (Appl. Soft Comput., 2024)

Graphs Generalization under Distribution Shifts. - Qin Tian; Wenjun Wang 002; Chen Zhao 010; Minglai Shao 001; Wang Zhang 001; Dong Li 034 (CoRR, 2024)

Fair Data Generation via Score-based Diffusion Model. - Yujie Lin; Dong Li 034; Chen Zhao 010; Minglai Shao 001 (CoRR, 2024)

Review-LLM: Harnessing Large Language Models for Personalized Review Generation. - Qiyao Peng 001; Hongtao Liu; Hongyan Xu 001; Qing Yang 033; Minglai Shao 001; Wenjun Wang 002 (CoRR, 2024)

ULMRec: User-centric Large Language Model for Sequential Recommendation. - Minglai Shao 001; Hua Huang; Qiyao Peng 001; Hongtao Liu (CoRR, 2024)

Deep expertise and interest personalized transformer for expert finding. - Yinghui Wang; Qiyao Peng 001; Hongtao Liu; Hongyan Xu 001; Minglai Shao 001; Wenjun Wang 002 (Inf. Process. Manag., 2024)

GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models. - Zhixia He; Chen Zhao 010; Minglai Shao 001; Yujie Lin; Dong Li 034; Qin Tian (ICASSP, 2025)

Hypergraph-Based Dynamic Graph Node Classification. - Xiaoxu Ma; Chen Zhao 010; Minglai Shao 001; Yujie Lin (ICASSP, 2025)

MLDGG: Meta-Learning for Domain Generalization on Graphs. - Qin Tian; Chen Zhao 010; Minglai Shao 001; Wenjun Wang 002; Yujie Lin; Dong Li 034 (KDD (1), 2025)

Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs. - Ruomeng Ding; Xujiang Zhao; Chen Zhao 010; Minglai Shao 001; Zhengzhang Chen; Haifeng Chen (SDM, 2025)

Temporal multivariate-factors independence convolution network for anomaly detection in dynamic networks. - Yang Yu 030; Minglai Shao 001; Xin Li; Wenjun Wang 002 (Neurocomputing, 2025)

Graph out-of-distribution generalization through contrastive learning paradigm. - Hongyi Du; Xuewei Li; Minglai Shao 001 (Knowl. Based Syst., 2025)

Hypergraph convolution networks for botnet detection. - Jing Li; Bingkun Zhao; Guofu Zhao; Jinghong Lan; Jun Zhao 017; Minglai Shao 001 (Knowl. Based Syst., 2025)

Out-of-distribution detection in heterogeneous graphs via energy propagation. - Tao Yin; Chen Zhao 010; Xiaoyan Liu; Minglai Shao 001 (Knowl. Based Syst., 2025)

A Survey on LLM-powered Agents for Recommender Systems. - Qiyao Peng 001; Hongtao Liu; Hua Huang; Qing Yang 033; Minglai Shao 001 (CoRR, 2025)

Temporal subgraph contrastive learning for anomaly detection on dynamic attributed graphs. - Yang Yu 030; Xin Li; Minglai Shao 001; Ying Sun 005; Wenjun Wang 002 (Appl. Intell., 2025)

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. - Yudan Song; Yuecen Wei; Yuhang Lu; Qingyun Sun; Minglai Shao 001; Li-e Wang; Chunming Hu; Xianxian Li; Xingcheng Fu (CoRR, 2025)

Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. - Yumeng Wang; Zengyi Wo; Wenjun Wang 002; Xingcheng Fu; Minglai Shao 001 (CoRR, 2025)

Improving Fairness in Graph Neural Networks via Counterfactual Debiasing. - Zengyi Wo; Chang Liu; Yumeng Wang; Minglai Shao 001; Wenjun Wang 002 (CoRR, 2025)

Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum. - Zengyi Wo; Wenjun Wang 002; Minglai Shao 001; Chang Liu; Yumeng Wang; Yueheng Sun (CoRR, 2025)

A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models. - Ziqi Yuan; Qingyun Sun; Haoyi Zhou; Minglai Shao 001; Xingcheng Fu (Int. J. Mach. Learn. Cybern., 2025)