A New Clustering Algorithm Based on Token Ring. - Yongquan Liang 001; Jiancong Fan; Zhongying Zhao 001 (SNPD (1), 2007)

Mining User's Interest from Reading Behavior in E-learning System. - Yongquan Liang; Zhongying Zhao 001; Qingtian Zeng (SNPD (2), 2007)

Course ontology-based user's knowledge requirement acquisition from behaviors within e-learning systems. - Qingtian Zeng; Zhongying Zhao 001; Yongquan Liang 001 (Comput. Educ., 2009)

Personalized Knowledge Acquisition through Interactive Data Analysis in E-learning System. - Zhongying Zhao 001; Shengzhong Feng; Qingtian Zeng; Jianping Fan 002; Xiaohong Zhang (J. Comput., 2010)

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)

Topic oriented community detection through social objects and link analysis in social networks. - Zhongying Zhao 001; Shengzhong Feng; Qiang Wang 053; Joshua Zhexue Huang; Graham J. Williams; Jianping Fan 002 (Knowl. Based Syst., 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)

Efficient Detecting Overlapping Communities by Seeding and Semi-Supervised Learning. - Changxing Shang; Shengzhong Feng; Zhongying Zhao 001; Jianping Fan 002 (CoRR, 2014)

Collecting, managing and analyzing social networking data effectively. - Zhongying Zhao 001; Zheng Feng; Yong Zhang 001; Li Ning 001; Jiancong Fan; Shengzhong Feng (FSKD, 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)

Realtime Channel Recommendation: Switch Smartly While Watching TV. - Li Ning 001; Zhongying Zhao 001; Rong Zhou 006; Yong Zhang 001; Shengzhong Feng (FAW, 2016)

Probability model selection and parameter evolutionary estimation for clustering imbalanced data without sampling. - Jiancong Fan; Zhonghan Niu; Yongquan Liang 001; Zhongying Zhao 001 (Neurocomputing, 2016)

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)

Efficiently detecting overlapping communities using seeding and semi-supervised learning. - Changxing Shang; Shengzhong Feng; Zhongying Zhao 001; Jianping Fan 002 (Int. J. Mach. Learn. Cybern., 2017)

Identifying advisor-advisee relationships from co-author networks via a novel deep model. - Zhongying Zhao 001; Wenqiang Liu; Yuhua Qian; Liqiang Nie; Yilong Yin; Yong Zhang 001 (Inf. Sci., 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)

Modeling the Effort and Learning Ability of Students in MOOCs. - Lina Gao; Zhongying Zhao 001; Liang Qi 001; Yongquan Liang 001; Junwei Du (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)

Logic Petri Net Synthesis for Cooperative Systems. - Wenjing Luan; Liang Qi 001; Zhongying Zhao 001; Jianxin Liu; Yuyue Du (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)

Attention-Based Deep Learning Model for Predicting Collaborations Between Different Research Affiliations. - Hui Zhou; Jinqing Sun; Zhongying Zhao 001; Yong Yang 001; Ailei Xie; Francisco Chiclana (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)

Digital image self-recovery algorithm based on improved joint source-channel coding optimizer. - Yuying Gu; Hongmei Yang; Bin Yan 001; Xiaodong Wang; Zhongying Zhao 001 (Multim. Tools Appl., 2019)

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)

Inductive Representation Learning via CNN for Partially-Unseen Attributed Networks. - Zhongying Zhao 001; Hui Zhou; Liang Qi 001; Liang Chang 003; MengChu Zhou (IEEE Trans. Netw. Sci. Eng., 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)

Multiplex Heterogeneous Graph Convolutional Network. - Pengyang Yu; Chaofan Fu; Yanwei Yu; Chao Huang 001; Zhongying Zhao 001; Junyu Dong (KDD, 2022)

Latent semantic-enhanced discrete hashing for cross-modal retrieval. - Yun Liu; Shujuan Ji; Qiang Fu; Jianli Zhao 002; Zhongying Zhao 001; Maoguo Gong (Appl. Intell., 2022)

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)

Heterogeneous graph neural network for attribute completion. - Kai Wang 014; Yanwei Yu; Chao Huang 001; Zhongying Zhao 001; Junyu Dong (Knowl. Based Syst., 2022)

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)

SMGCL: Semi-supervised Multi-view Graph Contrastive Learning. - Hui Zhou; Maoguo Gong; Shanfeng Wang; Yuan Gao 019; Zhongying Zhao 001 (Knowl. Based Syst., 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)

Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification. - Maoguo Gong; Hui Zhou; A. Kai Qin; Wenfeng Liu; Zhongying Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

BA-GNN: Behavior-aware graph neural network for session-based recommendation. - Yongquan Liang 001; Qiuyu Song; Zhongying Zhao 001; Hui Zhou; Maoguo Gong (Frontiers Comput. Sci., 2023)

Dual-Channel Multiplex Graph Neural Networks for Recommendation. - Xiang Li 111; Chaofan Fu; Zhongying Zhao 001; Guanjie Zheng; Chao Huang 001; Junyu Dong; Yanwei Yu (CoRR, 2024)

Multi-Channel Hypergraph Contrastive Learning for Matrix Completion. - Xiang Li 111; Changsheng Shui; Yanwei Yu; Chao Huang 001; Zhongying Zhao 001; Junyu Dong (CoRR, 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)

MHGCN+: Multiplex Heterogeneous Graph Convolutional Network. - Chaofan Fu; Pengyang Yu; Yanwei Yu; Chao Huang 001; Zhongying Zhao 001; Junyu Dong (ACM Trans. Intell. Syst. Technol., 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)

Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation. - Jinyu Zhang 002; Zhongying Zhao 001; Chao Li 054; Yanwei Yu (AAAI, 2025)

UMGAD: Unsupervised Multiplex Graph Anomaly Detection. - Xiang Li 111; Jianpeng Qi; Zhongying Zhao 001; Guanjie Zheng; Lei Cao 004; Junyu Dong; Yanwei Yu (ICDE, 2025)

Popularity-aware dynamic graph neural collaborative filtering with local-global convergence. - Xiaoxue Yang; Hui Zhou; Zhongying Zhao 001 (Appl. Soft Comput., 2025)

LeDA-GNN: Learnable dual augmentation for graph neural networks. - Gen Liu 001; Zhongying Zhao 001; Chao Li; Yanwei Yu (Expert Syst. Appl., 2025)

Improving the quality of Positive and Negative Samples based on Topological Analysis and Counterfactual Reasoning for Graph Contrastive Learning. - Xiaoyu Wang; Qiqi Zhang; Gen Liu 001; Zhongying Zhao 001 (Expert Syst. Appl., 2025)

Span-level emotion-cause-category triplet extraction via table-filling. - Dong Yang; Xiangju Li; Zhongying Zhao 001; Faliang Huang; Kaisong Song (Expert Syst. Appl., 2025)

Encoder augmentation for multi-task graph contrastive learning. - Xiaoyu Wang; Qiqi Zhang; Gen Liu 001; Zhongying Zhao 001; Hongzhi Cui (Neurocomputing, 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)

GraphBSSN: A simple yet effective generative method for node classification in class-imbalanced graphs. - Qi Meng; Gen Liu 001; Guangkai Wu; Hui Zhou; Zhongying Zhao 001 (Knowl. Based Syst., 2025)

Local High-order Structure-aware Graph Neural Network for motif prediction. - Wen Yang; Xiang Li 111; Bin Wang 045; Jianpeng Qi; Zhongying Zhao 001; Peilan He; Yanwei Yu (Knowl. Based Syst., 2025)

Towards user-specific multimodal recommendation via cross-modal attention-enhanced graph convolution network. - Ruidong Wang; Chao Li; Zhongying Zhao 001 (Appl. Intell., 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)

Span-level Emotion-Cause-Category Triplet Extraction with Instruction Tuning LLMs and Data Augmentation. - Xiangju Li; Dong Yang; Xiaogang Zhu; Faliang Huang; Peng Zhang; Zhongying Zhao 001 (CoRR, 2025)

Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation. - Jinyu Zhang 002; Chao Li 054; Zhongying Zhao 001 (ACM Trans. Inf. Syst., 2025)

Dual-Channel Multiplex Graph Neural Networks for Recommendation. - Xiang Li 111; Chaofan Fu; Zhongying Zhao 001; Guangjie Zheng; Chao Huang 001; Yanwei Yu; Junyu Dong (IEEE Trans. Knowl. Data Eng., 2025)

Boosting graph contrastive learning via adaptive graph augmentation and topology-feature-level homophily. - Shuo Sun; Zhongying Zhao 001; Gen Liu 001; Qiqi Zhang; Lingtao Su (Int. J. Mach. Learn. Cybern., 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)

Reconsidering the interplay between behaviors: A cross-attentive behavior-aware GCN-based recommendation. - Dezheng Meng; Jinyu Zhang 002; Chao Li 054; Zhongying Zhao 001 (Pattern Recognit., 2026)

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)