XML document classification based on ELM. - Xiangguo Zhao; Guoren Wang; Xin Bi 001; Peizhen Gong; Yuhai Zhao (Neurocomputing, 2011)

Efficient Processing of Probabilistic Group Nearest Neighbor Query on Uncertain Data. - Jiajia Li 003; Botao Wang; Guoren Wang; Xin Bi 001 (DASFAA (1), 2014)

Probability based voting extreme learning machine for multiclass XML documents classification. - Xiangguo Zhao; Xin Bi 001; Baiyou Qiao (World Wide Web, 2014)

Distributed XML Twig Query Processing Using MapReduce. - Xin Bi 001; Guoren Wang; Xiangguo Zhao; Zhen Zhang; Shuang Chen (APWeb, 2015)

Distributed Extreme Learning Machine with kernels based on MapReduce. - Xin Bi 001; Xiangguo Zhao; Guoren Wang; Pan Zhang; Chao Wang (Neurocomputing, 2015)

Uncertain XML documents classification using Extreme Learning Machine. - Xiangguo Zhao; Xin Bi 001; Guoren Wang; Zhen Zhang; Hongbo Yang (Neurocomputing, 2016)

Efficient Processing of Distributed Twig Queries Based on Node Distribution. - Xin Bi 001; Xiangguo Zhao; Guoren Wang (J. Comput. Sci. Technol., 2017)

Multi-location Influence Maximization in Location-Based Social Networks. - Zhen Zhang; Xiangguo Zhao; Guoren Wang; Xin Bi 001 (APWeb/WAIM Workshops, 2018)

Personalized Geo-Social Group Queries in Location-Based Social Networks. - Yuliang Ma 001; Ye Yuan 001; Guoren Wang; Xin Bi 001; Yishu Wang 001 (DASFAA (1), 2018)

Rising Star Classification Based on Extreme Learning Machine. - Yuliang Ma 001; Ye Yuan 001; Guoren Wang; Xin Bi 001; Zhongqing Wang; Yishu Wang 001 (ELM, 2018)

Trust-Aware Personalized Route Query Using Extreme Learning Machine in Location-Based Social Networks. - Yuliang Ma 001; Ye Yuan 001; Guoren Wang; Xin Bi 001; Hongchao Qin (Cogn. Comput., 2018)

A New Point-of-Interest Classification Model with an Extreme Learning Machine. - Zhen Zhang; Xiangguo Zhao; Guoren Wang; Xin Bi 001 (Cogn. Comput., 2018)

LDPart: Effective Location-Record Data Publication via Local Differential Privacy. - Xiangguo Zhao; Yanhui Li; Ye Yuan 001; Xin Bi 001; Guoren Wang (IEEE Access, 2019)

Big graph classification frameworks based on Extreme Learning Machine. - Yongjiao Sun; Boyang Li 006; Ye Yuan 001; Xin Bi 001; Xiangguo Zhao; Guoren Wang (Neurocomputing, 2019)

Frequent Semantic Trajectory Sequence Pattern Mining in Location-Based Social Networks. - Zhen Zhang; Jing Zhang; Fuxue Li; Xiangguo Zhao; Xin Bi 001 (APWeb/WAIM (1), 2020)

Efficient Learning of Big ECG Data for Ventricular Fibrillation Warning. - Yao He; Xin Bi 001; Xiangguo Zhao; Chao Zhang 069; Zhixun Liu; Yuliang Ma 001 (ICDCS, 2020)

CODES: Efficient Incremental Semi-Supervised Classification Over Drifting and Evolving Social Streams. - Xin Bi 001; Chao Zhang 069; Xiangguo Zhao; Donghang Li; Yongjiao Sun; Yuliang Ma 001 (IEEE Access, 2020)

Functional Brain Network Classification for Alzheimer's Disease Detection with Deep Features and Extreme Learning Machine. - Xin Bi 001; Xiangguo Zhao; Hong Huang; Deyang Chen; Yuliang Ma 001 (Cogn. Comput., 2020)

Rising Star Evaluation Based on Extreme Learning Machine in Geo-Social Networks. - Yuliang Ma 001; Ye Yuan 001; Guoren Wang; Xin Bi 001; Zhongqing Wang; Yishu Wang 001 (Cogn. Comput., 2020)

GNEA: A Graph Neural Network with ELM Aggregator for Brain Network Classification. - Xin Bi 001; Zhixun Liu; Yao He; Xiangguo Zhao; Yongjiao Sun; Hao Liu (Complex., 2020)

Social-aware spatial keyword top-k group query. - Xiangguo Zhao; Zhen Zhang; Hong Huang; Xin Bi 001 (Distributed Parallel Databases, 2020)

An event recommendation model using ELM in event-based social network. - Boyang Li 006; Guoren Wang; Yurong Cheng; Yongjiao Sun; Xin Bi 001 (Neural Comput. Appl., 2020)

Time-Series Graph Network for Sea Surface Temperature Prediction. - Yongjiao Sun; Xin Yao 007; Xin Bi 001; Xuechun Huang; Xiangguo Zhao; Baiyou Qiao (Big Data Res., 2021)

Explainable time-frequency convolutional neural network for microseismic waveform classification. - Xin Bi 001; Chao Zhang 069; Yao He; Xiangguo Zhao; Yongjiao Sun; Yuliang Ma 001 (Inf. Sci., 2021)

Long-Term Time Series Prediction with Extreme Peak and Interval Calibration. - Xin Bi 001; Guoliang Zhang; Mingxu Yuan; Xuechun Huang; Xiangguo Zhao (BESC, 2022)

CASA-Net: A Context-Aware Correlation Convolutional Network for Scale-Adaptive Crack Detection. - Xin Bi 001; Shining Zhang; Yu Zhang 125; Lei Hu; Wei Zhang; Wenjing Niu; Ye Yuan 001; Guoren Wang (CIKM, 2022)

Unrestricted multi-hop reasoning network for interpretable question answering over knowledge graph. - Xin Bi 001; Haojie Nie; Xiyu Zhang; Xiangguo Zhao; Ye Yuan 001; Guoren Wang (Knowl. Based Syst., 2022)

An Uncertainty-based Neural Network for Explainable Trajectory Segmentation. - Xin Bi 001; Chao Zhang 069; Fangtong Wang; Zhixun Liu; Xiangguo Zhao; Ye Yuan 001; Guoren Wang (ACM Trans. Intell. Syst. Technol., 2022)

Towards Time-Series Key Points Detection Through Self-supervised Learning and Probability Compensation. - Mingxu Yuan; Xin Bi 001; Xuechun Huang; Wei Zhang; Lei Hu; George Y. Yuan; Xiangguo Zhao; Yongjiao Sun (DASFAA (1), 2023)

Boosting question answering over knowledge graph with reward integration and policy evaluation under weak supervision. - Xin Bi 001; Haojie Nie; Guoliang Zhang; Lei Hu; Yuliang Ma 001; Xiangguo Zhao; Ye Yuan 001; Guoren Wang (Inf. Process. Manag., 2023)

A positive and unlabeled learning framework based on extreme learning machine for drug-drug interactions discovery. - Xin Bi 001; He Ma; Jianhua Li; Yuliang Ma 001; Deyang Chen (J. Ambient Intell. Humaniz. Comput., 2023)

EDense: a convolutional neural network with ELM-based dense connections. - Xiangguo Zhao; Xin Bi 001; Xiangyu Zeng; Yingchun Zhang; Qiusheng Fang (Neural Comput. Appl., 2023)

Temporal-structural importance weighted graph convolutional network for temporal knowledge graph completion. - Haojie Nie; Xiangguo Zhao; Xin Yao 007; Qingling Jiang; Xin Bi 001; Yuliang Ma 001; Yongjiao Sun (Future Gener. Comput. Syst., 2023)

A new point-of-interest group recommendation method in location-based social networks. - Xiangguo Zhao; Zhen Zhang; Xin Bi 001; Yongjiao Sun (Neural Comput. Appl., 2023)

Structure-adaptive graph neural network with temporal representation and residual connections. - Xin Bi 001; Qingling Jiang; Zhixun Liu; Xin Yao 007; Haojie Nie; George Y. Yuan; Xiangguo Zhao; Yongjiao Sun (World Wide Web (WWW), 2023)

Correlation embedding learning with dynamic semantic enhanced sampling for knowledge graph completion. - Haojie Nie; Xiangguo Zhao; Xin Bi 001; Yuliang Ma 001; George Y. Yuan (World Wide Web (WWW), 2023)

Social network node pricing based on graph autoencoder in data marketplaces. - Yongjiao Sun; Boyang Li 006; Xin Bi 001; Qiang Feng (Expert Syst. Appl., 2024)

TiFLCS-MARP: Client selection and model pricing for federated learning in data markets. - Yongjiao Sun; Boyang Li 006; Kai Yang; Xin Bi 001; Xiangning Zhao (Expert Syst. Appl., 2024)

A deformable convolutional time-series prediction network with extreme peak and interval calibration. - Xin Bi 001; Guoliang Zhang; Lijun Lu; George Y. Yuan; Xiangguo Zhao; Yongjiao Sun; Yuliang Ma 001 (GeoInformatica, 2024)

Multi-temporal heterogeneous graph learning with pattern-aware attention for industrial chain risk detection. - Ziheng Li; Yongjiao Sun; Xin Bi 001; Ruijin Wang; Shi Ying; Hangxu Ji (World Wide Web (WWW), 2024)

Knowledge Graph Reasoning with Hierarchical Attention-Based Temporal Aggregation for Industrial Chain Risk Prediction. - Xiangyu Wang; Yongjiao Sun; Anrui Han; Xin Bi 001; Kejun Bi; Shi Ying; Hangxu Ji (ADMA (4), 2025)

A Novel Temporal Heterogeneous Graph Learning-Based Anomaly Detection Method for Industrial Chain Evolution. - Xiaoxiao Gu; Yongjiao Sun; Anrui Han; Xin Bi 001; Kejun Bi; Shi Ying; Hangxu Ji (APWeb-WAIM (2), 2025)

Direction-Aware Attentive Hypergraph Learning for Knowledge Graph Completion. - Haojie Nie; Xiangguo Zhao; Xin Bi 001; Xin Yao 007; Yongjiao Sun; Zhixin Lv (APWeb-WAIM (1), 2025)

Adaptive Graph Contrastive Learning for Blockchain Smart Contract Vulnerability Detection. - Junjie Zhou; Xiangguo Zhao; Xin Yao 007; Xin Bi 001; Ye Yuan 001 (APWeb-WAIM (3), 2025)

Spatiotemporal Learning With Decoupled Causal Attention for Multivariate Time Series. - Xin Bi 001; Qinghan Jin; Meiling Song; Xin Yao 007; Xiangguo Zhao; Ye Yuan 001; Guoren Wang (IEEE Trans. Big Data, 2025)

Bridging Trajectory-Aware Evolutionary Graph Learning and Large Language Models for Enhancing Navigability in Social Internet of Things. - Xin Bi 001; Zhubin Han; Xin Yao 007; Xiangguo Zhao; Yu-Ping Wang; Ye Yuan 001 (IEEE Internet Things J., 2025)

Dependency-Aware Microservice Deployment Optimization via Neural Heuristic Learning. - Hulin Nie; Xiangguo Zhao; Xin Bi 001; Xin Yao 007; Junjie Zhou; Ye Yuan 001 (IEEE Trans. Cloud Comput., 2026)

AHMRec: adaptive hyperbolic metric recommendation. - Junjie Zhou; Xin Yao 007; Zhixin Lv; Xiangguo Zhao; Xin Bi 001; Hangxu Ji (World Wide Web (WWW), 2026)