Zhongying Zhao

102 papers A* 15Misc 1Journal 78Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Dual-Channel Contrastive Learning Framework for Anomaly Detection in Dynamic Graph Structures.
WWW
Runshuo Liu, Chao Li, Zhongying Zhao, Hui Zhou, Qingtian Zeng
2026 A* conf
Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method.
AAAI
Gen Liu, Zhongying Zhao, Hui Zhou, Chao Li, Qingtian Zeng
2026 A* conf
DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification.
AAAI
Guangkai Wu, Gen Liu, Chao Li, Qingtian Zeng, Hui Zhou, Zhongying Zhao
2026 J jnl
Efficiently Harmonizing Information Sharing for Heterogeneous Graph Contrastive Learning.
Pattern Recognit.
Xiangkai Zhu, Chao Li, Yeyu Yan, Jinhu Fu, Zhongying Zhao, Qingtian Zeng
2026 A* conf
FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs.
AAAI
Chao Li, Runshuo Liu, Zhongying Zhao, Hui Zhou, Qingtian Zeng
2026 J jnl
Handling distribution shifts on dynamic graphs via causal invariance principles.
Neural Networks
Chao Li, Yafei Zhang, Runshuo Liu, Qianyu Song, Zhongying Zhao, Qingtian Zeng
2026 A* conf
Mitigating Dynamic Graph Distribution Shifts via Mixture of Variational Experts.
WWW
Qianyu Song, Chao Li, Yeyu Yan, Hui Zhou, Zhongying Zhao, Qingtian Zeng
2026 J jnl
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion.
ACM Trans. Inf. Syst.
Xiang Li, Changsheng Shui, Zhongying Zhao, Junyu Dong, Yanwei Yu
2026 A* conf
Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy.
AAAI
Xiang Li, Yuan Cao, Zhongying Zhao, Guoqing Chao, Yanwei Yu
2026 J jnl
Reconsidering the interplay between behaviors: A cross-attentive behavior-aware GCN-based recommendation.
Pattern Recognit.
Dezheng Meng, Jinyu Zhang, Chao Li, Zhongying Zhao
2026 A* conf
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion.
WWW
Xiang Li, Jianpeng Qi, Haobing Liu, Yuan Cao, Guoqing Chao, Zhongying Zhao, Junyu Dong, Xinwang Liu, Yanwei Yu
2026 J jnl
Step Into Balance: A Consistency-Aware and Loose Homophily Guided Generative Method for Class-Imbalanced Graphs.
IEEE Trans. Knowl. Data Eng.
Gen Liu, Zhongying Zhao, Chao Li, Qingtian Zeng, Shuo Wang, Alessandro Brighente, Mauro Conti
2026 A* conf
S²HyRec: Self-Supervised Hypergraph Sequential Recommendation.
AAAI
Yuchen Liu, Kunyu Ni, Zhongying Zhao, Guoqing Chao, Yanwei Yu
2025 J jnl
Boosting Performance of Graph Convolutional Networks via Generating Pseudolabels and Feature Interaction.
IEEE Trans. Comput. Soc. Syst.
Qiqi Zhang, Zhongying Zhao, Chao Li, Xin Huang
2025 J jnl
Boosting graph contrastive learning via adaptive graph augmentation and topology-feature-level homophily.
Int. J. Mach. Learn. Cybern.
Shuo Sun, Zhongying Zhao, Gen Liu, Qiqi Zhang, Lingtao Su
2025 A* conf
CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation.
IJCAI
Zhongying Zhao, Jinyu Zhang, Chuanxu Jia, Chao Li, Yanwei Yu, Qingtian Zeng
2025 J jnl
Dual-Channel Multiplex Graph Neural Networks for Recommendation.
IEEE Trans. Knowl. Data Eng.
Xiang Li, Chaofan Fu, Zhongying Zhao, Guangjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong
2025 J jnl
Encoder augmentation for multi-task graph contrastive learning.
Neurocomputing
Xiaoyu Wang, Qiqi Zhang, Gen Liu, Zhongying Zhao, Hongzhi Cui
2025 J jnl
Fusion3M: Community-based multi-scale co-evolving network for dynamic graph representation learning.
Inf. Fusion
Chao Li, Qianyu Song, Runshuo Liu, Zhongying Zhao, Qingtian Zeng
2025 A* conf
Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs.
IJCAI
Zhongying Zhao, Gen Liu, Qi Meng, Chao Li, Qingtian Zeng
2025 J jnl
GraphBSSN: A simple yet effective generative method for node classification in class-imbalanced graphs.
Knowl. Based Syst.
Qi Meng, Gen Liu, Guangkai Wu, Hui Zhou, Zhongying Zhao
2025 J jnl
Improving the quality of Positive and Negative Samples based on Topological Analysis and Counterfactual Reasoning for Graph Contrastive Learning.
Expert Syst. Appl.
Xiaoyu Wang, Qiqi Zhang, Gen Liu, Zhongying Zhao
2025 J jnl
Inter-Class and Intra-Class Re-Weighting for Topological-Imbalance Graph Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell.
Gen Liu, Zhongying Zhao, Hui Zhou, Chao Li, Qingtian Zeng, Guanfeng Liu
2025 J jnl
LeDA-GNN: Learnable dual augmentation for graph neural networks.
Expert Syst. Appl.
Gen Liu, Zhongying Zhao, Chao Li, Yanwei Yu
2025 A* conf
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation.
AAAI
Jinyu Zhang, Zhongying Zhao, Chao Li, Yanwei Yu
2025 J jnl
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation.
CoRR
Jinyu Zhang, Chao Li, Zhongying Zhao
2025 J jnl
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation.
ACM Trans. Inf. Syst.
Jinyu Zhang, Chao Li, Zhongying Zhao
2025 J jnl
Local High-order Structure-aware Graph Neural Network for motif prediction.
Knowl. Based Syst.
Wen Yang, Xiang Li, Bin Wang, Jianpeng Qi, Zhongying Zhao, Peilan He, Yanwei Yu
2025 A* conf
MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking.
IJCAI
Yiming He, Xiang Li, Zhongying Zhao, Haobing Liu, Peilan He, Yanwei Yu
2025 J jnl
NodeHGAE: Node-oriented heterogeneous graph autoencoder.
Inf. Sci.
Xiangkai Zhu, Chao Li, Yeyu Yan, Zhongying Zhao, Hua Duan, Qingtian Zeng
2025 J jnl
Popularity-aware dynamic graph neural collaborative filtering with local-global convergence.
Appl. Soft Comput.
Xiaoxue Yang, Hui Zhou, Zhongying Zhao
2025 J jnl
Self-supervised progressive graph neural network for enhanced multi-behavior recommendation.
Int. J. Mach. Learn. Cybern.
Tianhang Liu, Hui Zhou, Chao Li, Zhongying Zhao
2025 J jnl
Span-level Emotion-Cause-Category Triplet Extraction with Instruction Tuning LLMs and Data Augmentation.
CoRR
Xiangju Li, Dong Yang, Xiaogang Zhu, Faliang Huang, Peng Zhang, Zhongying Zhao
2025 J jnl
Span-level emotion-cause-category triplet extraction via table-filling.
Expert Syst. Appl.
Dong Yang, Xiangju Li, Zhongying Zhao, Faliang Huang, Kaisong Song
2025 J jnl
Span-level emotion-cause-category triplet extraction with instruction tuning LLMs and data augmentation.
Appl. Soft Comput.
Xiangju Li, Dong Yang, Xiaogang Zhu, Faliang Huang, Peng Zhang, Zhongying Zhao
2025 A* conf
Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder.
AAAI
Qiqi Zhang, Chao Li, Zhongying Zhao
2025 J jnl
Towards user-specific multimodal recommendation via cross-modal attention-enhanced graph convolution network.
Appl. Intell.
Ruidong Wang, Chao Li, Zhongying Zhao
2025 A* conf
UMGAD: Unsupervised Multiplex Graph Anomaly Detection.
ICDE
Xiang Li, Jianpeng Qi, Zhongying Zhao, Guanjie Zheng, Lei Cao, Junyu Dong, Yanwei Yu
2024 J jnl
A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network.
IEEE Trans. Big Data
Yeyu Yan, Zhongying Zhao, Zhan Yang, Yanwei Yu, Chao Li
2024 J jnl
DGNN-MN: Dynamic Graph Neural Network via memory regenerate and neighbor propagation.
Appl. Intell.
Chao Li, Runshuo Liu, Jinhu Fu, Zhongying Zhao, Hua Duan, Qingtian Zeng
2024 J jnl
Dual-Channel Multiplex Graph Neural Networks for Recommendation.
CoRR
Xiang Li, Chaofan Fu, Zhongying Zhao, Guanjie Zheng, Chao Huang, Junyu Dong, Yanwei Yu
2024 J jnl
Heterogeneous graph knowledge distillation neural network incorporating multiple relations and cross-semantic interactions.
Inf. Sci.
Jinhu Fu, Chao Li, Zhongying Zhao, Qingtian Zeng
2024 J jnl
Higher order heterogeneous graph neural network based on node attribute enhancement.
Expert Syst. Appl.
Chao Li, Jinhu Fu, Yeyu Yan, Zhongying Zhao, Qingtian Zeng
2024 J jnl
Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation.
CoRR
Jinyu Zhang, Zhongying Zhao, Chao Li, Yanwei Yu
2024 J jnl
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network.
ACM Trans. Intell. Syst. Technol.
Chaofan Fu, Pengyang Yu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
2024 J jnl
MHGNN: Multi-view fusion based Heterogeneous Graph Neural Network.
Appl. Intell.
Chao Li, Xiangkai Zhu, Yeyu Yan, Zhongying Zhao, Lingtao Su, Qingtian Zeng
2024 J jnl
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion.
CoRR
Xiang Li, Changsheng Shui, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
2024 J jnl
UMGAD: Unsupervised Multiplex Graph Anomaly Detection.
CoRR
Xiang Li, Jianpeng Qi, Zhongying Zhao, Guanjie Zheng, Lei Cao, Junyu Dong, Yanwei Yu
2023 J jnl
AF-GCN: Attribute-Fusing Graph Convolution Network for Recommendation.
IEEE Trans. Big Data
Guowei Yue, Rui Xiao, Zhongying Zhao, Chao Li
2023 J jnl
Adversarial variational autoencoder for attributed graph embedding with high-frequency noise filtering.
Appl. Intell.
Hui Zhou, Xin Liu, Xiangju Li, Zhongying Zhao, Chao Li
2023 J jnl
BA-GNN: Behavior-aware graph neural network for session-based recommendation.
Frontiers Comput. Sci.
Yongquan Liang, Qiuyu Song, Zhongying Zhao, Hui Zhou, Maoguo Gong
2023 J jnl
Community detection based on unsupervised attributed network embedding.
Expert Syst. Appl.
Xinchuang Zhou, Lingtao Su, Xiangju Li, Zhongying Zhao, Chao Li
2023 J jnl
Dual Feature Interaction-Based Graph Convolutional Network.
IEEE Trans. Knowl. Data Eng.
Zhongying Zhao, Zhan Yang, Chao Li, Qingtian Zeng, Weili Guan, MengChu Zhou
2023 J jnl
HGNN-ETA: Heterogeneous graph neural network enriched with text attribute.
World Wide Web (WWW)
Chao Li, Zhen Wang, Zhongying Zhao, Hua Duan, Qingtian Zeng
2023 J jnl
HetGNN-SF: Self-supervised learning on heterogeneous graph neural network via semantic strength and feature similarity.
Appl. Intell.
Chao Li, Xinming Liu, Yeyu Yan, Zhongying Zhao, Qingtian Zeng
2023 J jnl
HetReGAT-FC: Heterogeneous Residual Graph Attention Network via Feature Completion.
Inf. Sci.
Chao Li, Yeyu Yan, Jinhu Fu, Zhongying Zhao, Qingtian Zeng
2023 J jnl
OSGNN: Original graph and Subgraph aggregated Graph Neural Network.
Expert Syst. Appl.
Yeyu Yan, Chao Li, Yanwei Yu, Xiangju Li, Zhongying Zhao
2023 J jnl
SMGCL: Semi-supervised Multi-view Graph Contrastive Learning.
Knowl. Based Syst.
Hui Zhou, Maoguo Gong, Shanfeng Wang, Yuan Gao, Zhongying Zhao
2023 J jnl
Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification.
IEEE Trans. Neural Networks Learn. Syst.
Maoguo Gong, Hui Zhou, A. K. Qin, Wenfeng Liu, Zhongying Zhao
2023 J jnl
Self-supervised contrastive learning on heterogeneous graphs with mutual constraints of structure and feature.
Inf. Sci.
Qiqi Zhang, Zhongying Zhao, Hui Zhou, Xiangju Li, Chao Li
2023 J jnl
Session-based recommendation with hypergraph convolutional networks and sequential information embeddings.
Expert Syst. Appl.
Chengxin Ding, Zhongying Zhao, Chao Li, Yanwei Yu, Qingtian Zeng
2022 J jnl
Deep cognitive diagnosis model for predicting students' performance.
Future Gener. Comput. Syst.
Lina Gao, Zhongying Zhao, Chao Li, Jianli Zhao, Qingtian Zeng
2022 J jnl
Heterogeneous graph neural network for attribute completion.
Knowl. Based Syst.
Kai Wang, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
2022 J jnl
Latent semantic-enhanced discrete hashing for cross-modal retrieval.
Appl. Intell.
Yun Liu, Shujuan Ji, Qiang Fu, Jianli Zhao, Zhongying Zhao, Maoguo Gong
2022 A* conf
Multiplex Heterogeneous Graph Convolutional Network.
KDD
Pengyang Yu, Chaofan Fu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
2022 J jnl
Multiplex Heterogeneous Graph Convolutional Network.
CoRR
Pengyang Yu, Chaofan Fu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
2021 J jnl
DeepEmLAN: Deep embedding learning for attributed networks.
Inf. Sci.
Zhongying Zhao, Hui Zhou, Chao Li, Jie Tang, Qingtian Zeng
2021 J jnl
GuessUNeed: Recommending Courses via Neural Attention Network and Course Prerequisite Relation Embeddings.
ACM Trans. Multim. Comput. Commun. Appl.
Zhongying Zhao, Yonghao Yang, Chao Li, Liqiang Nie
2021 J jnl
HEPre: Click frequency prediction of applications based on heterogeneous information network embedding.
J. Intell. Fuzzy Syst.
Chao Li, Yeyu Yan, Zhongying Zhao, Jun Luo, Qingtian Zeng
2021 J jnl
Inductive Representation Learning via CNN for Partially-Unseen Attributed Networks.
IEEE Trans. Netw. Sci. Eng.
Zhongying Zhao, Hui Zhou, Liang Qi, Liang Chang, MengChu Zhou
2021 J jnl
Learning emotional word embeddings for sentiment analysis.
J. Intell. Fuzzy Syst.
Qingtian Zeng, Xishi Zhao, Xiaohui Hu, Hua Duan, Zhongying Zhao, Chao Li
2021 — conf
Network Embedding Based Collaborative Filtering Model Equipped With User Purchase Motivation and Potential Interactions.
CCIS
Shuo Wang, Hui Zhou, Mingxin Li, Chao Li, Zhongying Zhao
2021 J jnl
Sentiment classification based on dependency-relationship embedding and attention mechanism.
J. Intell. Fuzzy Syst.
Zhan Yang, Chengliang Li, Zhongying Zhao, Chao Li
2020 J jnl
A comparative study on heterogeneous information network embeddings.
J. Intell. Fuzzy Syst.
Fujiao Ji, Zhongying Zhao, Hui Zhou, Heng Chi, Chao Li
2020 J jnl
HetNERec: Heterogeneous network embedding based recommendation.
Knowl. Based Syst.
Zhongying Zhao, Xuejian Zhang, Hui Zhou, Chao Li, Maoguo Gong, Yongqing Wang
2019 J jnl
An Interpretable and Scalable Recommendation Method Based on Network Embedding.
IEEE Access
Xuejian Zhang, Zhongying Zhao, Chao Li, Yong Zhang, Jianli Zhao
2019 J jnl
An incremental method to detect communities in dynamic evolving social networks.
Knowl. Based Syst.
Zhongying Zhao, Chao Li, Xuejian Zhang, Francisco Chiclana, Enrique Herrera-Viedma
2019 J jnl
Attention-Based Deep Learning Model for Predicting Collaborations Between Different Research Affiliations.
IEEE Access
Hui Zhou, Jinqing Sun, Zhongying Zhao, Yong Yang, Ailei Xie, Francisco Chiclana
2019 J jnl
Digital image self-recovery algorithm based on improved joint source-channel coding optimizer.
Multim. Tools Appl.
Yuying Gu, Hongmei Yang, Bin Yan, Xiaodong Wang, Zhongying Zhao
2019 J jnl
Identifying High Influential Users in Social Media by Analyzing Users' Behaviors.
J. Intell. Fuzzy Syst.
Zhongying Zhao, Hui Zhou, Bijun Zhang, Fujiao Ji, Chao Li
2019 J jnl
Learner2Vec-Based Learner Community Evolution Analysis-A Case Study Involving Student Card Data.
IEEE Access
Chao Li, Lei Zhao, Qingtian Zeng, Hua Duan, Zhongying Zhao
2019 J jnl
Logic Petri Net Synthesis for Cooperative Systems.
IEEE Access
Wenjing Luan, Liang Qi, Zhongying Zhao, Jianxin Liu, Yuyue Du
2019 J jnl
Modeling the Effort and Learning Ability of Students in MOOCs.
IEEE Access
Lina Gao, Zhongying Zhao, Liang Qi, Yongquan Liang, Junwei Du
2019 J jnl
Rank2vec: Learning node embeddings with local structure and global ranking.
Expert Syst. Appl.
Hui Zhou, Zhongying Zhao, Chao Li, Yongquan Liang, Qingtian Zeng
2018 J jnl
A comparative study on community detection methods in complex networks.
J. Intell. Fuzzy Syst.
Zhongying Zhao, Shaoqiang Zheng, Chao Li, Jinqing Sun, Liang Chang, Francisco Chiclana
2018 J jnl
Identifying advisor-advisee relationships from co-author networks via a novel deep model.
Inf. Sci.
Zhongying Zhao, Wenqiang Liu, Yuhua Qian, Liqiang Nie, Yilong Yin, Yong Zhang
2017 J jnl
A system to manage and mine microblogging data.
J. Intell. Fuzzy Syst.
Zhongying Zhao, Yong Zhang, Chao Li, Li Ning, Jiancong Fan
2017 J jnl
Efficiently detecting overlapping communities using seeding and semi-supervised learning.
Int. J. Mach. Learn. Cybern.
Changxing Shang, Shengzhong Feng, Zhongying Zhao, Jianping Fan
2016 J jnl
Probability model selection and parameter evolutionary estimation for clustering imbalanced data without sampling.
Neurocomputing
Jiancong Fan, Zhonghan Niu, Yongquan Liang, Zhongying Zhao
2016 Misc conf
Realtime Channel Recommendation: Switch Smartly While Watching TV.
FAW
Li Ning, Zhongying Zhao, Rong Zhou, Yong Zhang, Shengzhong Feng
2015 — conf
Collecting, managing and analyzing social networking data effectively.
FSKD
Zhongying Zhao, Zheng Feng, Yong Zhang, Li Ning, Jiancong Fan, Shengzhong Feng
2015 J jnl
Identifying and Analyzing Popular Phrases Multi-Dimensionally in Social Media Data.
Int. J. Data Warehous. Min.
Zhongying Zhao, Chao Li, Yong Zhang, Joshua Zhexue Huang, Jun Luo, Shengzhong Feng, Jianping Fan
2014 — conf
A Spatial-Temporal Analysis of Users' Geographical Patterns in Social Media: A Case Study on Microblogs.
DASFAA Workshops
Chao Li, Zhongying Zhao, Jun Luo, Ling Yin, Qiming Zhou
2014 — conf
Detecting and Analyzing Influenza Epidemics with Social Media in China.
PAKDD (1)
Fang Zhang, Jun Luo, Chao Li, Xin Wang, Zhongying Zhao
2014 J jnl
Efficient Detecting Overlapping Communities by Seeding and Semi-Supervised Learning.
CoRR
Changxing Shang, Shengzhong Feng, Zhongying Zhao, Jianping Fan
2012 — conf
Relationships between geographical cluster and cyberspace community: A case study on microblog.
Geoinformatics
Chao Li, Zhongying Zhao, Shuguang Liu, Ling Yin, Jun Luo
2012 J jnl
Topic oriented community detection through social objects and link analysis in social networks.
Knowl. Based Syst.
Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Zhexue Huang, Graham J. Williams, Jianping Fan
2011 — conf
Info-Cluster Based Regional Influence Analysis in Social Networks.
PAKDD (2)
Chao Li, Zhongying Zhao, Jun Luo, Jianping Fan
2010 J jnl
Personalized Knowledge Acquisition through Interactive Data Analysis in E-learning System.
J. Comput.
Zhongying Zhao, Shengzhong Feng, Qingtian Zeng, Jianping Fan, Xiaohong Zhang
2009 J jnl
Course ontology-based user's knowledge requirement acquisition from behaviors within e-learning systems.
Comput. Educ.
Qingtian Zeng, Zhongying Zhao, Yongquan Liang
2007 — conf
A New Clustering Algorithm Based on Token Ring.
SNPD (1)
Yongquan Liang, Jiancong Fan, Zhongying Zhao
2007 — conf
Mining User's Interest from Reading Behavior in E-learning System.
SNPD (2)
Yongquan Liang, Zhongying Zhao, Qingtian Zeng