Minglai Shao - RankMe

100 papers A* 18A 5B 1C 1Misc 2Journal 63Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active Inference for Micro-Gesture Recognition: EFE-Guided Temporal Sampling and Adaptive Learning. CoRR Weijia Feng, Jingyu Yang, Ruojia Zhang, Fengtao Sun, Qian Gao, Chenyang Wang, Tongtong Su, Jia Guo, Xiaobai Li, Minglai Shao
2026	A*	`conf`	Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation. WWW Qin Tian, Chen Zhao, Xintao Wu, Dong Li, Minglai Shao, Xujiang Zhao, Wenjun Wang
2026	J	`jnl`	Dynamic hierarchical memory improved mixture-of-experts for multimodal fake news detection. Inf. Process. Manag. Yihong Meng, Hong Wang, Jun Zhao, Yanshen Sun, Minglai Shao
2026	A*	`conf`	LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs. AAAI Xiaoxu Ma, Dong Li, Minglai Shao, Xintao Wu, Chen Zhao
2026	J	`jnl`	LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs. CoRR Xiaoxu Ma, Dong Li, Minglai Shao, Xintao Wu, Chen Zhao
2026	A*	`conf`	LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs. AAAI Bing Hao, Minglai Shao, Zengyi Wo, Yunlong Chu, Yuhang Liu, Ruijie Wang
2026	J	`jnl`	MR-DID: Multi-relational graph neural network with adaptive structural entropy optimization for dynamic intrusion detection. Expert Syst. Appl. Yi Gao, Jun Zhao, Hong Wang, Minglai Shao
2026	A*	`conf`	Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models. AAAI Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu
2026	J	`jnl`	Rethinking heterophilic graph learning via graph curvature. Knowl. Based Syst. Jian Wang, Xingcheng Fu, Qingyun Sun, Li-e Wang, Hao Peng, Jiting Li, Xianxian Li, Minglai Shao
2026	J	`jnl`	RouteGoT: Node-Adaptive Routing for Cost-Efficient Graph of Thoughts Reasoning. CoRR Yuhang Liu, Ruijie Wang, Yunlong Chu, Bing Hao, Yumeng Lin, Shengzhong Liu, Minglai Shao
2026	J	`jnl`	SPOT: Span-level Pause-of-Thought for Efficient and Interpretable Latent Reasoning in Large Language Models. CoRR Yunlong Chu, Minglai Shao, Yuhang Liu, Bing Hao, Yumeng Lin, Jialu Wang, Ruijie Wang
2026	A*	`conf`	SkillGen: Learning Domain Skills for In-Context Sequential Decision Making. AAAI Ruomeng Ding, Wei Cheng, Minglai Shao, Chen Zhao
2025	—	`conf`	A Survey on LLM-powered Agents for Recommender Systems. EMNLP (Findings) Qiyao Peng, Hongtao Liu, Hua Huang, Jian Yang, Qing Yang, Minglai Shao
2025	J	`jnl`	A Survey on LLM-powered Agents for Recommender Systems. CoRR Qiyao Peng, Hongtao Liu, Hua Huang, Qing Yang, Minglai Shao
2025	J	`jnl`	A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models. Int. J. Mach. Learn. Cybern. Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Minglai Shao, Xingcheng Fu
2025	J	`jnl`	Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization. CoRR Yunlong Chu, Minglai Shao, Zengyi Wo, Bing Hao, Yuhang Liu, Ruijie Wang, Jianxin Li
2025	J	`jnl`	Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum. CoRR Zengyi Wo, Wenjun Wang, Minglai Shao, Chang Liu, Yumeng Wang, Yueheng Sun
2025	A	`conf`	Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs. SDM Ruomeng Ding, Xujiang Zhao, Chen Zhao, Minglai Shao, Zhengzhang Chen, Haifeng Chen
2025	A*	`conf`	FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models. IJCAI Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao
2025	J	`jnl`	Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains. CoRR Yumeng Lin, Dong Li, Xintao Wu, Minglai Shao, Xujiang Zhao, Zhong Chen, Chen Zhao
2025	Misc	`conf`	GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models. ICASSP Zhixia He, Chen Zhao, Minglai Shao, Yujie Lin, Dong Li, Qin Tian
2025	J	`jnl`	Graph out-of-distribution generalization through contrastive learning paradigm. Knowl. Based Syst. Hongyi Du, Xuewei Li, Minglai Shao
2025	A*	`conf`	HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender. IJCAI Xiangfu He, Qiyao Peng, Minglai Shao, Hongtao Liu
2025	J	`jnl`	Hypergraph convolution networks for botnet detection. Knowl. Based Syst. Jing Li, Bingkun Zhao, Guofu Zhao, Jinghong Lan, Jun Zhao, Minglai Shao
2025	Misc	`conf`	Hypergraph-Based Dynamic Graph Node Classification. ICASSP Xiaoxu Ma, Chen Zhao, Minglai Shao, Yujie Lin
2025	J	`jnl`	Improving Fairness in Graph Neural Networks via Counterfactual Debiasing. CoRR Zengyi Wo, Chang Liu, Yumeng Wang, Minglai Shao, Wenjun Wang
2025	J	`jnl`	LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs. CoRR Bing Hao, Minglai Shao, Zengyi Wo, Yunlong Chu, Yuhang Liu, Ruijie Wang
2025	J	`jnl`	Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment. CoRR Yuhang Liu, Minglai Shao, Zengyi Wo, Yunlong Chu, Bing Hao, Shengzhong Liu, Ruijie Wang, Jianxin Li
2025	A*	`conf`	Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. IJCAI Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao
2025	J	`jnl`	Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. CoRR Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao
2025	—	`conf`	Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection. KDD (2) Zengyi Wo, Minglai Shao, Shiyu Zhang, Ruijie Wang
2025	—	`conf`	MLDGG: Meta-Learning for Domain Generalization on Graphs. KDD (1) Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li
2025	—	`conf`	Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning. DASFAA (3) Chang Liu, Zengyi Wo, Minglai Shao, Wenjun Wang, Qin Tian
2025	A*	`conf`	Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. IJCAI Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-e Wang, Chunming Hu, Xianxian Li, Xingcheng Fu
2025	J	`jnl`	Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. CoRR Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-e Wang, Chunming Hu, Xianxian Li, Xingcheng Fu
2025	J	`jnl`	Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation. CoRR Tao Yin, Chen Zhao, Xiaoyan Liu, Minglai Shao
2025	J	`jnl`	Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models. CoRR Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu
2025	J	`jnl`	Out-of-distribution detection in heterogeneous graphs via energy propagation. Knowl. Based Syst. Tao Yin, Chen Zhao, Xiaoyan Liu, Minglai Shao
2025	J	`jnl`	PHO-HGNN: Hypergraph neural network based on persistent homology optimization for class-imbalanced intrusion detection. Knowl. Based Syst. Yi Gao, Jun Zhao, Hong Wang, Minglai Shao
2025	J	`jnl`	SkillGen: Learning Domain Skills for In-Context Sequential Decision Making. CoRR Ruomeng Ding, Wei Cheng, Minglai Shao, Chen Zhao
2025	J	`jnl`	Temporal multivariate-factors independence convolution network for anomaly detection in dynamic networks. Neurocomputing Yang Yu, Minglai Shao, Xin Li, Wenjun Wang
2025	J	`jnl`	Temporal subgraph contrastive learning for anomaly detection on dynamic attributed graphs. Appl. Intell. Yang Yu, Xin Li, Minglai Shao, Ying Sun, Wenjun Wang
2024	—	`conf`	CeDFormer: Community Enhanced Transformer for Dynamic Network Embedding. DELTA Jiaqi Guo, Tianpeng Li, Minglai Shao, Wenjun Wang, Lin Pan, Xue Chen, Yueheng Sun
2024	J	`jnl`	Deep expertise and interest personalized transformer for expert finding. Inf. Process. Manag. Yinghui Wang, Qiyao Peng, Hongtao Liu, Hongyan Xu, Minglai Shao, Wenjun Wang
2024	—	`conf`	Diffusion Review-Based Recommendation. KSEM (5) Xiangfu He, Qiyao Peng, Minglai Shao, Yueheng Sun
2024	J	`jnl`	Dynamic heterogeneous graph contrastive networks for knowledge tracing. Appl. Soft Comput. Yehong Han, Hailiang Tang, Wenxiao Zhang, Lin Du, Jun Zhao, Minglai Shao
2024	J	`jnl`	Fair Data Generation via Score-based Diffusion Model. CoRR Yujie Lin, Dong Li, Chen Zhao, Minglai Shao
2024	J	`jnl`	GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models. CoRR Zhixia He, Chen Zhao, Minglai Shao, Yujie Lin, Dong Li, Qin Tian
2024	A*	`conf`	Graph Bayesian Optimization for Multiplex Influence Maximization. AAAI Zirui Yuan, Minglai Shao, Zhiqian Chen
2024	J	`jnl`	Graph Bayesian Optimization for Multiplex Influence Maximization. CoRR Zirui Yuan, Minglai Shao, Zhiqian Chen
2024	A*	`conf`	Graph Collaborative Expert Finding with Contrastive Learning. IJCAI Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao
2024	A*	`conf`	Graph Contrastive Learning via Interventional View Generation. WWW Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin
2024	J	`jnl`	Graphs Generalization under Distribution Shifts. CoRR Qin Tian, Wenjun Wang, Chen Zhao, Minglai Shao, Wang Zhang, Dong Li
2024	J	`jnl`	Hypergraph-Based Dynamic Graph Node Classification. CoRR Xiaoxu Ma, Chen Zhao, Minglai Shao, Yujie Lin
2024	A	`conf`	Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously. CIKM Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang
2024	J	`jnl`	Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously. CoRR Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang
2024	J	`jnl`	MLDGG: Meta-Learning for Domain Generalization on Graphs. CoRR Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li
2024	J	`jnl`	Review-LLM: Harnessing Large Language Models for Personalized Review Generation. CoRR Qiyao Peng, Hongtao Liu, Hongyan Xu, Qing Yang, Minglai Shao, Wenjun Wang
2024	A*	`conf`	Supervised Algorithmic Fairness in Distribution Shifts: A Survey. IJCAI Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian
2024	J	`jnl`	Supervised Algorithmic Fairness in Distribution Shifts: A Survey. CoRR Yujie Lin, Dong Li, Chen Zhao, Xintao Wu, Qin Tian, Minglai Shao
2024	A*	`conf`	Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. IJCAI Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen
2024	J	`jnl`	ULMRec: User-centric Large Language Model for Sequential Recommendation. CoRR Minglai Shao, Hua Huang, Qiyao Peng, Hongtao Liu
2023	A	`conf`	Adaptation Speed Analysis for Fairness-aware Causal Models. CIKM Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen
2023	J	`jnl`	Adaptation Speed Analysis for Fairness-aware Causal Models. CoRR Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen
2023	A*	`conf`	Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling. EMNLP Yuanjun Shi, Linzhi Wu, Minglai Shao
2023	J	`jnl`	Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling. CoRR Yuanjun Shi, Linzhi Wu, Minglai Shao
2023	A	`conf`	Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. CIKM Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao
2023	J	`jnl`	Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. CoRR Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao
2023	J	`jnl`	Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure. Algorithms Yinghui Wang, Wenjun Wang, Minglai Shao, Yueheng Sun
2023	J	`jnl`	Heterogeneous network representation learning based on role feature extraction. Pattern Recognit. Yueheng Sun, Mengyu Jia, Chang Liu, Minglai Shao
2023	—	`conf`	Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning. KSEM (4) Jingyuan Zhang, Wenjun Wang, Tianpeng Li, Minglai Shao, Jiye Liu, Yueheng Sun
2023	J	`jnl`	Learning graph deep autoencoder for anomaly detection in multi-attributed networks. Knowl. Based Syst. Minglai Shao, Yujie Lin, Qiyao Peng, Jun Zhao, Zhan Pei, Yueheng Sun
2023	J	`jnl`	Motif-Level Anomaly Detection in Dynamic Graphs. IEEE Trans. Inf. Forensics Secur. Zirui Yuan, Minglai Shao, Qiben Yan
2023	A	`conf`	Multi-Order Relations Hyperbolic Fusion for Heterogeneous Graphs. CIKM Junlin Li, Yueheng Sun, Minglai Shao
2023	J	`jnl`	Multi-view change point detection in dynamic networks. Inf. Sci. Yingjie Xie, Wenjun Wang, Minglai Shao, Tianpeng Li, Yandong Yu
2023	J	`jnl`	Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains. CoRR Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen
2023	J	`jnl`	RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks. Knowl. Based Syst. Jun Zhao, Minglai Shao, Hailiang Tang, Jianchao Liu, Lin Du, Hong Wang
2023	—	`conf`	Robust Few-Shot Graph Anomaly Detection via Graph Coarsening. KSEM (1) Liting Li, Yueheng Sun, Tianpeng Li, Minglai Shao
2022	J	`jnl`	Cyber threat prediction using dynamic heterogeneous graph learning. Knowl. Based Syst. Jun Zhao, Minglai Shao, Hong Wang, Xiaomei Yu, Bo Li, Xudong Liu
2022	—	`conf`	Dual Perspective Contrastive Learning Based Subgraph Anomaly Detection on Attributed Networks. ICANN (2) Songlin Hu, Minglai Shao
2022	—	`conf`	Expertise-Oriented Explainable Question Routing. CollaborateCom (1) Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao
2022	J	`jnl`	Geometry interaction network alignment. Neurocomputing Yinghui Wang, Wenjun Wang, Zixu Zhen, Qiyao Peng, Pengfei Jiao, Wei Liang, Minglai Shao, Yueheng Sun
2022	J	`jnl`	IISD: Integrated Interaction Subgraph Detection for event mining. Knowl. Based Syst. Yang Yu, Wenjun Wang, Nannan Wu, Hongtao Liu, Minglai Shao
2022	J	`jnl`	Multi-users interaction anomalous subgraph detection for event mining. Neurocomputing Yang Yu, Wenjun Wang, Minglai Shao, Nannan Wu, Ying Sun, Yueheng Sun, Qiang Tian
2022	J	`jnl`	Network Alignment enhanced via modeling heterogeneity of anchor nodes. Knowl. Based Syst. Yinghui Wang, Qiyao Peng, Wenjun Wang, Xuan Guo, Minglai Shao, Hongtao Liu, Wei Liang, Lin Pan
2022	B	`conf`	Role-Oriented Dynamic Network Embedding. IEEE Big Data Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao
2022	A*	`conf`	Towards a Multi-View Attentive Matching for Personalized Expert Finding. WWW Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang
2022	J	`jnl`	Towards comprehensive expert finding with a hierarchical matching network. Knowl. Based Syst. Qiyao Peng, Wenjun Wang, Hongtao Liu, Yinghui Wang, Hongyan Xu, Minglai Shao
2021	J	`jnl`	A novel combined dynamic ensemble selection model for imbalanced data to detect COVID-19 from complete blood count. Comput. Methods Programs Biomed. Jiachao Wu, Jiang Shen, Man Xu, Minglai Shao
2021	J	`jnl`	Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning. Comput. Secur. Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng, Lichao Sun
2021	J	`jnl`	MASA: An efficient framework for anomaly detection in multi-attributed networks. Comput. Secur. Minglai Shao, Jianxin Li, Yue Chang, Jun Zhao, Xunxun Chen
2021	C	`conf`	PGraph: A Graph-based Structure for Interactive Event Exploration on Social Media. APSEC Yang Yu, Minglai Shao, Hongyan Xu, Ying Sun, Wenjun Wang, Bofei Ma
2021	J	`jnl`	Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning. Knowl. Based Syst. Jun Zhao, Minglai Shao, Hao Peng, Hong Wang, Bo Li, Xudong Liu
2021	J	`jnl`	Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release. IEEE Trans. Dependable Secur. Comput. Minglai Shao, Jianxin Li, Qiben Yan, Feng Chen, Hongyi Huang, Xunxun Chen
2020	J	`jnl`	Multi-attributed heterogeneous graph convolutional network for bot detection. Inf. Sci. Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng
2020	J	`jnl`	TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data. Comput. Secur. Jun Zhao, Qiben Yan, Jianxin Li, Minglai Shao, Zuti He, Bo Li
2020	J	`jnl`	Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks. Neurocomputing Minglai Shao, Peiyuan Sun, Jianxin Li, Qiben Yan, Zhirui Feng
2018	A*	`conf`	An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks. INFOCOM Minglai Shao, Jianxin Li, Feng Chen, Xunxun Chen
2017	A*	`conf`	An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks. WWW Minglai Shao, Jianxin Li, Feng Chen, Hongyi Huang, Shuai Zhang, Xunxun Chen
2017	J	`jnl`	Stacked Kernel Network. CoRR Shuai Zhang, Jianxin Li, Pengtao Xie, Yingchun Zhang, Minglai Shao, Haoyi Zhou, Mengyi Yan