XML Functional Dependency and Schema Normalization. - Xiangguo Zhao; Junchang Xin; Ende Zhang (HIS (3), 2009)

Efficiently mining local conserved clusters from gene expression data. - Guoren Wang; Yuhai Zhao; Xiangguo Zhao; Botao Wang; Baiyou Qiao (Neurocomputing, 2010)

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

Generalized Structural Holes Finding Algorithm by Bisection in Social Communities. - Ende Zhang; Guoren Wang; Kening Gao; Xiangguo Zhao; Yu Zhang 125 (ICGEC, 2012)

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

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

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

ELM based approximate dynamic cycle matching for homogeneous symmetric Pub/Sub system. - Botao Wang; Pingping Liu; Guoren Wang; Xiangguo Zhao (World Wide Web, 2015)

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

FE-ELM: A New Friend Recommendation Model with Extreme Learning Machine. - Zhen Zhang; Xiangguo Zhao; Guoren Wang (Cogn. Comput., 2017)

Efficient Processing of Distributed Twig Queries Based on Node Distribution. - Xin Bi; 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 (APWeb/WAIM Workshops, 2018)

Point-of-Interest Group Recommendation with an Extreme Learning Machine. - Zhen Zhang; Guoren Wang; Xiangguo Zhao (ELM, 2018)

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

A novel recommendation system in location-based social networks using distributed ELM. - Xiangguo Zhao; Zhongyu Ma; Zhen Zhang (Memetic Comput., 2018)

ELM-based convolutional neural networks making move prediction in Go. - Xiangguo Zhao; Zhongyu Ma; Boyang Li 006; Zhen Zhang; Hengyu Liu 001 (Soft Comput., 2018)

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

Big graph classification frameworks based on Extreme Learning Machine. - Yongjiao Sun; Boyang Li 006; Ye Yuan 001; Xin Bi; 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 (APWeb/WAIM (1), 2020)

Efficient Learning of Big ECG Data for Ventricular Fibrillation Warning. - Yao He; Xin Bi; 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; Chao Zhang 069; Xiangguo Zhao; Donghang Li; Yongjiao Sun; Yuliang Ma 001 (IEEE Access, 2020)

Efficient Mining of Hotspot Regional Patterns with Multi-Semantic Trajectories. - Zhen Zhang; Xiangguo Zhao; Yingchun Zhang; Jing Zhang; Haojie Nie; Youming Lou (Big Data Res., 2020)

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

GNEA: A Graph Neural Network with ELM Aggregator for Brain Network Classification. - Xin Bi; 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 (Distributed Parallel Databases, 2020)

Annotating semantic tags of locations in location-based social networks. - Yanhui Li; Xiangguo Zhao; Zhen Zhang; Ye Yuan 001; Guoren Wang (GeoInformatica, 2020)

Multi-attributed Community Search in Road-social Networks. - Fangda Guo; Ye Yuan 001; Guoren Wang; Xiangguo Zhao; Hao Sun (ICDE, 2021)

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

Explainable time-frequency convolutional neural network for microseismic waveform classification. - Xin Bi; 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; Guoliang Zhang; Mingxu Yuan; Xuechun Huang; Xiangguo Zhao (BESC, 2022)

A Medical Device Management System Using Smart Contract on Blockchain. - Xin Yao 007; Xiangguo Zhao; Rui He; Hulin Nie; Haojie Nie; Shichao Sun (BESC, 2022)

Unrestricted multi-hop reasoning network for interpretable question answering over knowledge graph. - Xin Bi; 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; 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; 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; Haojie Nie; Guoliang Zhang; Lei Hu; Yuliang Ma 001; Xiangguo Zhao; Ye Yuan 001; Guoren Wang (Inf. Process. Manag., 2023)

EDense: a convolutional neural network with ELM-based dense connections. - Xiangguo Zhao; Xin Bi; 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; 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; Yongjiao Sun (Neural Comput. Appl., 2023)

Structure-adaptive graph neural network with temporal representation and residual connections. - Xin Bi; 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; Yuliang Ma 001; George Y. Yuan (World Wide Web (WWW), 2023)

A Hypergraph Structure-Based Aggregation Network for Next POI Recommendation. - Zhen Zhang; Jun Chen; Xiangguo Zhao; Yaqi Gong; Jianyu Ren; Jintao Ouyang (IEEE Access, 2024)

Real-time Multi-platform Route Planning in ridesharing. - Qianqian Jin; Boyang Li 006; Yurong Cheng; Xiangguo Zhao (Expert Syst. Appl., 2024)

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

Spatiotemporal Learning With Decoupled Causal Attention for Multivariate Time Series. - Xin Bi; 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; Zhubin Han; Xin Yao; Xiangguo Zhao; Yu-Ping Wang; Ye Yuan 001 (IEEE Internet Things J., 2025)