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ORCIDMinglai Shao
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2020 – today
- 2024
[j22]Yehong Han, Hailiang Tang, Wenxiao Zhang, Lin Du, Jun Zhao, Minglai Shao:
Dynamic heterogeneous graph contrastive networks for knowledge tracing. Appl. Soft Comput. 166: 112194 (2024)- [j21]Yinghui Wang, Qiyao Peng
, Hongtao Liu, Hongyan Xu, Minglai Shao, Wenjun Wang:
Deep expertise and interest personalized transformer for expert finding. Inf. Process. Manag. 61(5): 103773 (2024) - [c19]Zirui Yuan, Minglai Shao, Zhiqian Chen:
Graph Bayesian Optimization for Multiplex Influence Maximization. AAAI 2024: 22475-22483 - [c18]Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao:
Graph Collaborative Expert Finding with Contrastive Learning. IJCAI 2024: 2288-2296 - [c17]Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen:
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. IJCAI 2024: 4560-4568 - [c16]Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian:
Supervised Algorithmic Fairness in Distribution Shifts: A Survey. IJCAI 2024: 8225-8233 - [c15]Xiangfu He, Qiyao Peng, Minglai Shao, Yueheng Sun:
Diffusion Review-Based Recommendation. KSEM (5) 2024: 255-269 - [c14]Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin:
Graph Contrastive Learning via Interventional View Generation. WWW 2024: 1024-1034 - [i11]Yujie Lin, Dong Li, Chen Zhao, Xintao Wu, Qin Tian, Minglai Shao:
Supervised Algorithmic Fairness in Distribution Shifts: A Survey. CoRR abs/2402.01327 (2024) - [i10]Qin Tian, Wenjun Wang, Chen Zhao, Minglai Shao, Wang Zhang, Dong Li:
Graphs Generalization under Distribution Shifts. CoRR abs/2403.16334 (2024) - [i9]Zirui Yuan, Minglai Shao, Zhiqian Chen:
Graph Bayesian Optimization for Multiplex Influence Maximization. CoRR abs/2403.18866 (2024) - [i8]Yujie Lin, Dong Li, Chen Zhao, Minglai Shao:
Fair Data Generation via Score-based Diffusion Model. CoRR abs/2406.09495 (2024) - [i7]Qiyao Peng, Hongtao Liu, Hongyan Xu, Qing Yang, Minglai Shao, Wenjun Wang:
Review-LLM: Harnessing Large Language Models for Personalized Review Generation. CoRR abs/2407.07487 (2024) - [i6]Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang:
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously. CoRR abs/2408.09312 (2024) - 2023
- [j20]Yinghui Wang, Wenjun Wang, Minglai Shao, Yueheng Sun:
Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure. Algorithms 16(5): 234 (2023) - [j19]Yingjie Xie, Wenjun Wang, Minglai Shao, Tianpeng Li, Yandong Yu:
Multi-view change point detection in dynamic networks. Inf. Sci. 629: 344-357 (2023) - [j18]Minglai Shao, Yujie Lin, Qiyao Peng, Jun Zhao, Zhan Pei, Yueheng Sun:
Learning graph deep autoencoder for anomaly detection in multi-attributed networks. Knowl. Based Syst. 260: 110084 (2023) - [j17]Jun Zhao, Minglai Shao, Hailiang Tang, Jianchao Liu, Lin Du, Hong Wang:
RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks. Knowl. Based Syst. 280: 111029 (2023) - [j16]Yueheng Sun, Mengyu Jia, Chang Liu, Minglai Shao:
Heterogeneous network representation learning based on role feature extraction. Pattern Recognit. 144: 109870 (2023) - [j15]Zirui Yuan, Minglai Shao, Qiben Yan:
Motif-Level Anomaly Detection in Dynamic Graphs. IEEE Trans. Inf. Forensics Secur. 18: 2870-2882 (2023) - [c13]Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao:
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. CIKM 2023: 1338-1347 - [c12]Junlin Li, Yueheng Sun, Minglai Shao:
Multi-Order Relations Hyperbolic Fusion for Heterogeneous Graphs. CIKM 2023: 1358-1367 - [c11]Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen:
Adaptation Speed Analysis for Fairness-aware Causal Models. CIKM 2023: 1421-1430 - [c10]Yuanjun Shi, Linzhi Wu, Minglai Shao:
Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling. EMNLP 2023: 6291-6301 - [c9]Jingyuan Zhang, Wenjun Wang, Tianpeng Li, Minglai Shao, Jiye Liu, Yueheng Sun:
Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning. KSEM (4) 2023: 403-417 - [c8]Liting Li, Yueheng Sun, Tianpeng Li, Minglai Shao:
Robust Few-Shot Graph Anomaly Detection via Graph Coarsening. KSEM (1) 2023: 414-429 - [i5]Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao:
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. CoRR abs/2308.16441 (2023) - [i4]Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen:
Adaptation Speed Analysis for Fairness-aware Causal Models. CoRR abs/2308.16879 (2023) - [i3]Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen:
Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains. CoRR abs/2309.13005 (2023) - [i2]Yuanjun Shi, Linzhi Wu, Minglai Shao:
Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling. CoRR abs/2310.15294 (2023) - 2022
- [j14]Yinghui Wang, Wenjun Wang, Zixu Zhen, Qiyao Peng, Pengfei Jiao, Wei Liang, Minglai Shao, Yueheng Sun:
Geometry interaction network alignment. Neurocomputing 501: 618-628 (2022) - [j13]Yang Yu, Wenjun Wang, Minglai Shao, Nannan Wu, Ying Sun, Yueheng Sun, Qiang Tian:
Multi-users interaction anomalous subgraph detection for event mining. Neurocomputing 509: 34-45 (2022) - [j12]Yang Yu, Wenjun Wang, Nannan Wu, Hongtao Liu, Minglai Shao:
IISD: Integrated Interaction Subgraph Detection for event mining. Knowl. Based Syst. 240: 108080 (2022) - [j11]Jun Zhao, Minglai Shao, Hong Wang, Xiaomei Yu, Bo Li, Xudong Liu:
Cyber threat prediction using dynamic heterogeneous graph learning. Knowl. Based Syst. 240: 108086 (2022) - [j10]Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao, Hongtao Liu, Wei Liang, Lin Pan:
Network Alignment enhanced via modeling heterogeneity of anchor nodes. Knowl. Based Syst. 250: 109116 (2022) - [j9]Qiyao Peng, Wenjun Wang, Hongtao Liu, Yinghui Wang, Hongyan Xu, Minglai Shao:
Towards comprehensive expert finding with a hierarchical matching network. Knowl. Based Syst. 257: 109933 (2022) - [c7]Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao:
Role-Oriented Dynamic Network Embedding. IEEE Big Data 2022: 1070-1079 - [c6]Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao:
Expertise-Oriented Explainable Question Routing. CollaborateCom (1) 2022: 41-57 - [c5]Songlin Hu, Minglai Shao:
Dual Perspective Contrastive Learning Based Subgraph Anomaly Detection on Attributed Networks. ICANN (2) 2022: 481-493 - [c4]Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang:
Towards a Multi-View Attentive Matching for Personalized Expert Finding. WWW 2022: 2131-2140 - 2021
- [j8]Jiachao Wu, Jiang Shen, Man Xu, Minglai Shao:
A novel combined dynamic ensemble selection model for imbalanced data to detect COVID-19 from complete blood count. Comput. Methods Programs Biomed. 211: 106444 (2021) - [j7]Minglai Shao, Jianxin Li, Yue Chang, Jun Zhao, Xunxun Chen:
MASA: An efficient framework for anomaly detection in multi-attributed networks. Comput. Secur. 102: 102085 (2021) - [j6]Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng, Lichao Sun:
Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning. Comput. Secur. 102: 102152 (2021) - [j5]Jun Zhao, Minglai Shao, Hao Peng, Hong Wang, Bo Li, Xudong Liu:
Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning. Knowl. Based Syst. 228: 107296 (2021) - [j4]Minglai Shao, Jianxin Li, Qiben Yan, Feng Chen, Hongyi Huang, Xunxun Chen:
Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release. IEEE Trans. Dependable Secur. Comput. 18(6): 2983-2995 (2021) - [c3]Yang Yu, Minglai Shao, Hongyan Xu, Ying Sun, Wenjun Wang, Bofei Ma:
PGraph: A Graph-based Structure for Interactive Event Exploration on Social Media. APSEC 2021: 72-81 - 2020
- [j3]Jun Zhao, Qiben Yan, Jianxin Li, Minglai Shao, Zuti He, Bo Li:
TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data. Comput. Secur. 95: 101867 (2020) - [j2]Minglai Shao, Peiyuan Sun, Jianxin Li, Qiben Yan, Zhirui Feng:
Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks. Neurocomputing 407: 83-93 (2020) - [j1]Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng:
Multi-attributed heterogeneous graph convolutional network for bot detection. Inf. Sci. 537: 380-393 (2020)
2010 – 2019
- 2018
- [c2]Minglai Shao, Jianxin Li, Feng Chen, Xunxun Chen:
An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks. INFOCOM 2018: 2258-2266 - 2017
- [c1]Minglai Shao, Jianxin Li, Feng Chen, Hongyi Huang, Shuai Zhang, Xunxun Chen:
An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks. WWW 2017: 1631-1639 - [i1]Shuai Zhang, Jianxin Li, Pengtao Xie, Yingchun Zhang, Minglai Shao, Haoyi Zhou, Mengyi Yan:
Stacked Kernel Network. CoRR abs/1711.09219 (2017)
Coauthor Index
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last updated on 2024-10-21 20:28 CEST by the dblp team
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