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Explainable exercise recommendation with knowledge graph Journal article
Guan, Quanlong, Cheng, Xinghe, Xiao, Fang, Li, Zhuzhou, He, Chaobo, Fang, Liangda, Chen, Guanliang, Gong, Zhiguo, Luo, Weiqi. Explainable exercise recommendation with knowledge graph[J]. Neural Networks, 2025, 183, 106954.
Authors:  Guan, Quanlong;  Cheng, Xinghe;  Xiao, Fang;  Li, Zhuzhou;  He, Chaobo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Exercise Recommendation  Knowledge Graph  Student Feature Extraction  
Cycling topic graph learning for neural topic modeling Journal article
Liu, Yanyan, Gong, Zhiguo. Cycling topic graph learning for neural topic modeling[J]. Knowledge-Based Systems, 2025, 310.
Authors:  Liu, Yanyan;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.2/7.4 | Submit date：2025/01/22
Neural Topic Model  Graph Neural Networks  Wasserstein Autoencoder  Graph Attention Networks  
Unveiling user interests: A deep user interest exploration network for sequential location recommendation Journal article
Chen, Junyang, Guo, Jingcai, Zhang, Qin, Wu, Kaishun, Zhang, Liangjie, Leung, Victor C.M., Wang, Huan, Gong, Zhiguo. Unveiling user interests: A deep user interest exploration network for sequential location recommendation[J]. Information Sciences, 2025, 689.
Authors:  Chen, Junyang;  Guo, Jingcai;  Zhang, Qin;  Wu, Kaishun;  Zhang, Liangjie; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:0/0 | Submit date：2025/01/22
Bidirectional Neural Network  Deep User Interest Exploration Network  Poi Recommendation  Sequential Location Recommendation  
Hybrid Transfer and Self-Supervised Learning Approaches in Neural Networks for Intelligent Vehicle Intrusion Detection and Analysis Journal article
Zhang, Tian, Du, Cuifeng, Zhou, Yuyu, Guan, Quanlong, Liu, Zhiquan, Huang, Xiujie, Gong, Zhiguo, Deng, Lianbing, Li, Yang. Hybrid Transfer and Self-Supervised Learning Approaches in Neural Networks for Intelligent Vehicle Intrusion Detection and Analysis[J]. IEEE Internet of Things Journal, 2024.
Authors:  Zhang, Tian;  Du, Cuifeng;  Zhou, Yuyu;  Guan, Quanlong;  Liu, Zhiquan; et al.
Favorite | TC[Scopus]:0  IF:8.2/9.0 | Submit date：2025/01/13
Intelligent Vehicle Intrusion Detection  Transformer  Transfer Learning  Spatiotemporal Sequence Features  Self-supervised Box Classification  
Neighbor Distribution Learning for Minority Class Augmentation Journal article
Zhou, Mengting, Gong, Zhiguo. Neighbor Distribution Learning for Minority Class Augmentation[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(12), 8901-8913.
Authors:  Zhou, Mengting;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2024/09/03
Class-imbalanced Learning  Data Mining  Node Classification  
Temporal Graph Multi-Aspect Embeddings Journal article
Sun, Aimin, Gong, Zhiguo. Temporal Graph Multi-Aspect Embeddings[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(11), 7102-7114.
Authors:  Sun, Aimin;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2024/06/05
Graph Embedding  Temporal Graph  Multi-aspect  Hierarchical Dirichlet Process  
Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions Conference paper
Duan, Xiuliang, Tan, Dating, Fang, Liangda, Zhou, Yuyu, He, Chaobo, Chen, Ziliang, Wu, Lusheng, Chen, Guanliang, Gong, Zhiguo, Luo, Weiqi, Guan, Quanlong. Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions[C], New York, NY, USA:Association for Computing Machinery, Inc, 2024, 6959-6968.
Authors:  Duan, Xiuliang;  Tan, Dating;  Fang, Liangda;  Zhou, Yuyu;  He, Chaobo; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/12/05
Geometry Questions  Multi-modal Large Language Models  Prompting Method  
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited Journal article
Wang, Zheng, Ding, Hongming, Pan, Li, Li, Jianhua, Gong, Zhiguo, Yu, Philip S.. From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024.
Authors:  Wang, Zheng;  Ding, Hongming;  Pan, Li;  Li, Jianhua;  Gong, Zhiguo; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:10.2/10.4 | Submit date：2024/11/05
Data Mining  Graph Convolutional Neural Networks  Graph-based Semi-supervised Learning (Gssl)  
Module-based graph pooling for graph classification Journal article
Deng, Sucheng, Yang, Geping, Yang, Yiyang, Gong, Zhiguo, Chen, Can, Chen, Xiang, Hao, Zhifeng. Module-based graph pooling for graph classification[J]. Pattern Recognition, 2024, 154, 110606.
Authors:  Deng, Sucheng;  Yang, Geping;  Yang, Yiyang;  Gong, Zhiguo;  Chen, Can; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.5/7.6 | Submit date：2024/06/05
Graph Classification  Graph Neural Network  Graph Pooling  
Association between alcohol consumption and incidence of dementia in current drinkers: linear and non-linear mendelian randomization analysis Journal article
Zheng, Lingling, Liao, Weiyao, Luo, Shan, Li, Bingyu, Liu, Di, Yun, Qingping, Zhao, Ziyi, Zhao, Jia, Rong, Jianhui, Gong, Zhiguo, Sha, Feng, Tang, Jinling. Association between alcohol consumption and incidence of dementia in current drinkers: linear and non-linear mendelian randomization analysis[J]. eClinicalMedicine, 2024, 76, 102810.
Authors:  Zheng, Lingling;  Liao, Weiyao;  Luo, Shan;  Li, Bingyu;  Liu, Di; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2024/10/10
Alcohol Consumption  Dementia  Mendelian Randomization