Info-Cluster Based Regional Influence Analysis in Social Networks. - Chao Li 022; Zhongying Zhao 001; Jun Luo 008; Jianping Fan 002 (PAKDD (2), 2011)

Relationships between geographical cluster and cyberspace community: A case study on microblog. - Chao Li 022; Zhongying Zhao 001; Shuguang Liu; Ling Yin 002; Jun Luo 008 (Geoinformatics, 2012)

Multi-Layer Network for Influence Propagation over Microblog. - Chao Li 022; Jun Luo 008; Joshua Zhexue Huang; Jianping Fan 001 (PAISI, 2012)

A Spatial-Temporal Analysis of Users' Geographical Patterns in Social Media: A Case Study on Microblogs. - Chao Li 022; Zhongying Zhao 001; Jun Luo 008; Ling Yin 002; Qiming Zhou (DASFAA Workshops, 2014)

Detecting and Analyzing Influenza Epidemics with Social Media in China. - Fang Zhang; Jun Luo 008; Chao Li 022; Xin Wang 002; Zhongying Zhao 001 (PAKDD (1), 2014)

Expected computations on color spanning sets. - Chao Li 022; Chenglin Fan; Jun Luo 008; Farong Zhong; Binhai Zhu (J. Comb. Optim., 2015)

Identifying and Analyzing Popular Phrases Multi-Dimensionally in Social Media Data. - Zhongying Zhao 001; Chao Li 022; Yong Zhang 001; Joshua Zhexue Huang; Jun Luo 008; Shengzhong Feng; Jianping Fan 002 (Int. J. Data Warehous. Min., 2015)

A system to manage and mine microblogging data. - Zhongying Zhao 001; Yong Zhang 001; Chao Li 022; Li Ning 001; Jiancong Fan (J. Intell. Fuzzy Syst., 2017)

State-of-art: text similarity computing. - Qingtian Zeng; Hua Zhao; Hua Duan; Chao Li 022; Weijian Ni; Nengfu Xie; Xiuli Diao (ICCIP, 2018)

An online paper recommendation system driven by user's interest model and user group. - Hua Zhao; Ruofei Zou; Hua Duan; Qingtian Zeng; Chao Li 022; Xiuli Diao; Weijian Ni; Nengfu Xie (ICCIP, 2018)

Multi-View and Multi-Language Description Generation for Cross-Department Medical Diagnosis Processes. - Guiyuan Yuan; Qingtian Zeng; Weijian Ni; Cong Liu 012; Chao Li 022; Hua Duan (IEEE Access, 2018)

A comparative study on community detection methods in complex networks. - Zhongying Zhao 001; Shaoqiang Zheng; Chao Li 022; Jinqing Sun; Liang Chang 003; Francisco Chiclana (J. Intell. Fuzzy Syst., 2018)

Mining Dynamics of Research Topics Based on the Combined LDA and WordNet. - Chao Li 022; Sen Feng; Qingtian Zeng; Weijian Ni; Hua Zhao; Hua Duan (IEEE Access, 2019)

A Mapping-Based Sharing Approach for Heterogeneous XML Data Supporting User Personalization. - Chao Li 022; Qingtian Zeng; Hua Duan; Nengfu Xie (IEEE Access, 2019)

Learner2Vec-Based Learner Community Evolution Analysis-A Case Study Involving Student Card Data. - Chao Li 022; Lei Zhao; Qingtian Zeng; Hua Duan; Zhongying Zhao 001 (IEEE Access, 2019)

An Interpretable and Scalable Recommendation Method Based on Network Embedding. - Xuejian Zhang; Zhongying Zhao 001; Chao Li 022; Yong Zhang 001; Jianli Zhao 002 (IEEE Access, 2019)

Rank2vec: Learning node embeddings with local structure and global ranking. - Hui Zhou; Zhongying Zhao 001; Chao Li 022; Yongquan Liang 001; Qingtian Zeng (Expert Syst. Appl., 2019)

Identifying High Influential Users in Social Media by Analyzing Users' Behaviors. - Zhongying Zhao 001; Hui Zhou; Bijun Zhang; Fujiao Ji; Chao Li 022 (J. Intell. Fuzzy Syst., 2019)

An incremental method to detect communities in dynamic evolving social networks. - Zhongying Zhao 001; Chao Li 022; Xuejian Zhang; Francisco Chiclana; Enrique Herrera-Viedma (Knowl. Based Syst., 2019)

Traffic Prediction of Wireless Cellular Networks Based on Deep Transfer Learning and Cross-Domain Data. - Qingtian Zeng; Qiang Sun; Geng Chen 002; Hua Duan; Chao Li 022; Ge Song (IEEE Access, 2020)

Missing Procedural Texts Repairing Based on Process Model and Activity Description Templates. - Qingtian Zeng; Xiaojie Tang; Weijian Ni; Hua Duan; Chao Li 022; Nengfu Xie (IEEE Access, 2020)

Routing Clustering Protocol for 3D Wireless Sensor Networks Based on Fragile Collection Ant Colony Algorithm. - Tianyi Zhang; Geng Chen 002; Qingtian Zeng; Ge Song; Chao Li 022; Hua Duan (IEEE Access, 2020)

Seamless clustering multi-hop routing protocol based on improved artificial bee colony algorithm. - Tianyi Zhang; Geng Chen 002; Qingtian Zeng; Ge Song; Chao Li 022; Hua Duan (EURASIP J. Wirel. Commun. Netw., 2020)

A comparative study on heterogeneous information network embeddings. - Fujiao Ji; Zhongying Zhao 001; Hui Zhou; Heng Chi; Chao Li 022 (J. Intell. Fuzzy Syst., 2020)

HetNERec: Heterogeneous network embedding based recommendation. - Zhongying Zhao 001; Xuejian Zhang; Hui Zhou; Chao Li 022; Maoguo Gong; Yongqing Wang (Knowl. Based Syst., 2020)

Network Embedding Based Collaborative Filtering Model Equipped With User Purchase Motivation and Potential Interactions. - Shuo Wang; Hui Zhou; Mingxin Li; Chao Li 022; Zhongying Zhao 001 (CCIS, 2021)

DeepEmLAN: Deep embedding learning for attributed networks. - Zhongying Zhao 001; Hui Zhou; Chao Li 022; Jie Tang 001; Qingtian Zeng (Inf. Sci., 2021)

HEPre: Click frequency prediction of applications based on heterogeneous information network embedding. - Chao Li 022; Yeyu Yan; Zhongying Zhao 001; Jun Luo 008; Qingtian Zeng (J. Intell. Fuzzy Syst., 2021)

Sentiment classification based on dependency-relationship embedding and attention mechanism. - Zhan Yang; Chengliang Li; Zhongying Zhao 001; Chao Li 022 (J. Intell. Fuzzy Syst., 2021)

Learning emotional word embeddings for sentiment analysis. - Qingtian Zeng; Xishi Zhao; Xiaohui Hu; Hua Duan; Zhongying Zhao 001; Chao Li 022 (J. Intell. Fuzzy Syst., 2021)

GuessUNeed: Recommending Courses via Neural Attention Network and Course Prerequisite Relation Embeddings. - Zhongying Zhao 001; Yonghao Yang; Chao Li 022; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Deep cognitive diagnosis model for predicting students' performance. - Lina Gao; Zhongying Zhao 001; Chao Li 022; Jianli Zhao 002; Qingtian Zeng (Future Gener. Comput. Syst., 2022)

FedProLs: federated learning for IoT perception data prediction. - Qingtian Zeng; Zhenzhen Lv; Chao Li 022; Yongkui Shi; Zedong Lin; Cong Liu 012; Ge Song (Appl. Intell., 2023)

Community detection based on unsupervised attributed network embedding. - Xinchuang Zhou; Lingtao Su; Xiangju Li; Zhongying Zhao 001; Chao Li 022 (Expert Syst. Appl., 2023)

HetReGAT-FC: Heterogeneous Residual Graph Attention Network via Feature Completion. - Chao Li 022; Yeyu Yan; Jinhu Fu; Zhongying Zhao 001; Qingtian Zeng (Inf. Sci., 2023)

AF-GCN: Attribute-Fusing Graph Convolution Network for Recommendation. - Guowei Yue; Rui Xiao; Zhongying Zhao 001; Chao Li 022 (IEEE Trans. Big Data, 2023)

HGNN-ETA: Heterogeneous graph neural network enriched with text attribute. - Chao Li 022; Zhen Wang; Zhongying Zhao 001; Hua Duan; Qingtian Zeng (World Wide Web (WWW), 2023)

Session-based recommendation with hypergraph convolutional networks and sequential information embeddings. - Chengxin Ding; Zhongying Zhao 001; Chao Li 022; Yanwei Yu; Qingtian Zeng (Expert Syst. Appl., 2023)

OSGNN: Original graph and Subgraph aggregated Graph Neural Network. - Yeyu Yan; Chao Li 022; Yanwei Yu; Xiangju Li; Zhongying Zhao 001 (Expert Syst. Appl., 2023)

Self-supervised contrastive learning on heterogeneous graphs with mutual constraints of structure and feature. - Qiqi Zhang; Zhongying Zhao 001; Hui Zhou; Xiangju Li; Chao Li 022 (Inf. Sci., 2023)

Dual Feature Interaction-Based Graph Convolutional Network. - Zhongying Zhao 001; Zhan Yang; Chao Li 022; Qingtian Zeng; Weili Guan; MengChu Zhou (IEEE Trans. Knowl. Data Eng., 2023)

HetGNN-SF: Self-supervised learning on heterogeneous graph neural network via semantic strength and feature similarity. - Chao Li 022; Xinming Liu; Yeyu Yan; Zhongying Zhao 001; Qingtian Zeng (Appl. Intell., 2023)

Adversarial variational autoencoder for attributed graph embedding with high-frequency noise filtering. - Hui Zhou; Xin Liu; Xiangju Li; Zhongying Zhao 001; Chao Li 022 (Appl. Intell., 2023)

APD-229: a textual-visual database for agricultural pests and diseases. - Shansong Wang; Weijian Ni; Qingtian Zeng; Nengfu Xie; Chao Li 022 (Multim. Tools Appl., 2024)

Heterogeneous graph knowledge distillation neural network incorporating multiple relations and cross-semantic interactions. - Jinhu Fu; Chao Li 022; Zhongying Zhao 001; Qingtian Zeng (Inf. Sci., 2024)

Higher order heterogeneous graph neural network based on node attribute enhancement. - Chao Li 022; Jinhu Fu; Yeyu Yan; Zhongying Zhao 001; Qingtian Zeng (Expert Syst. Appl., 2024)

MHGNN: Multi-view fusion based Heterogeneous Graph Neural Network. - Chao Li 022; Xiangkai Zhu; Yeyu Yan; Zhongying Zhao 001; Lingtao Su; Qingtian Zeng (Appl. Intell., 2024)

DGNN-MN: Dynamic Graph Neural Network via memory regenerate and neighbor propagation. - Chao Li 022; Runshuo Liu; Jinhu Fu; Zhongying Zhao 001; Hua Duan; Qingtian Zeng (Appl. Intell., 2024)

A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network. - Yeyu Yan; Zhongying Zhao 001; Zhan Yang; Yanwei Yu; Chao Li 022 (IEEE Trans. Big Data, 2024)

Generalized zero-shot pest and disease image classification based on causal gating model. - Shansong Wang; Qingtian Zeng; Guiyuan Yuan; Weijian Ni; Chao Li 022; Hua Duan; Nengfu Xie; Fengjin Xiao; Xiaofeng Yang (Comput. Electron. Agric., 2025)

Fusion3M: Community-based multi-scale co-evolving network for dynamic graph representation learning. - Chao Li 022; Qianyu Song; Runshuo Liu; Zhongying Zhao 001; Qingtian Zeng (Inf. Fusion, 2025)

NodeHGAE: Node-oriented heterogeneous graph autoencoder. - Xiangkai Zhu; Chao Li 022; Yeyu Yan; Zhongying Zhao 001; Hua Duan; Qingtian Zeng (Inf. Sci., 2025)

Multi-view based heterogeneous graph contrastive learning for drug-target interaction prediction. - Chao Li 022; Lichao Zhang; Guoyi Sun; Lingtao Su (J. Biomed. Informatics, 2025)

Self-supervised progressive graph neural network for enhanced multi-behavior recommendation. - Tianhang Liu; Hui Zhou; Chao Li 022; Zhongying Zhao 001 (Int. J. Mach. Learn. Cybern., 2025)

Self-supervised heterogeneous graph neural network based on deep and broad neighborhood encoding. - Qianyu Song; Chao Li 022; Jinhu Fu; Qingtian Zeng; Nengfu Xie (Appl. Intell., 2025)

HRMG-EA: Heterogeneous graph neural network recommendation with multi-level guidance based on enhanced-attributes. - Longtao Wang; Guiyuan Yuan; Chao Li 022; Yufei Zhao; Hua Duan; Qingtian Zeng (Appl. Intell., 2025)

Boosting Performance of Graph Convolutional Networks via Generating Pseudolabels and Feature Interaction. - Qiqi Zhang; Zhongying Zhao 001; Chao Li 022; Xin Huang 001 (IEEE Trans. Comput. Soc. Syst., 2025)

Heterogeneous graph structure learning based on feature and topology information extraction. - Chao Li 022; Xin Li; Xiangkai Zhu; Qingtian Zeng; Hua Duan; Nengfu Xie (Multim. Syst., 2025)

Efficiently Harmonizing Information Sharing for Heterogeneous Graph Contrastive Learning. - Xiangkai Zhu; Chao Li 022; Yeyu Yan; Jinhu Fu; Zhongying Zhao 001; Qingtian Zeng (Pattern Recognit., 2026)