Xinhua Wang

According to our database, Xinhua Wang authored at least 34 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Collaborating with top scientists may not improve paper novelty: A causal analysis based on the propensity score matching method.

Linlin Ren, Lei Guo, Hui Yu, Feng Guo, Xinhua Wang, Xiaohui Han

J. Informetrics, 2025

User identification network with contrastive clustering for shared-account recommendation.

Xinhua Wang, Houping Yue, Lei Guo, Feng Guo, Chen He, Xiaohui Han

Inf. Process. Manag., 2025

2024

Do scholars' collaborative tendencies impact the quality of their publications? A generalized propensity score matching analysis.

Qiuling Liu, Lei Guo, Yiping Sun, Linlin Ren, Xinhua Wang, Xiaohui Han

J. Informetrics, February, 2024

Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction.

Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Attention-Based Difficulty Feature Enhancement for Knowledge Tracing.

Xinhua Wang, Hao Lu, Liancheng Xu, Lei Guo, Xiaohui Zhao

Proceedings of the International Joint Conference on Neural Networks, 2024

Causal Attentive Group Recommendation.

Liancheng Xu, Xiaoqi Wu, Xiaoxiang Wang, Xinhua Wang

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Knowledge Tracing with Contrastive Learning and Attention-Based Long Short-Term Memory Network.

Liancheng Xu, Lihua Guo, Xiaoqi Wu, Xinhua Wang, Lei Guo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Causal Attention Group Recommendation Integrating Social Information.

Liancheng Xu, Xiaoqi Wu, Xiaoxiang Wang, Xinhua Wang

Proceedings of the 9th IEEE International Conference on Data Science in Cyberspace, 2024

2023

GraphCA: Learning from Graph Counterfactual Augmentation for Knowledge Tracing.

Xinhua Wang, Shasha Zhao, Lei Guo, Lei Zhu, Chaoran Cui, Liancheng Xu

IEEE CAA J. Autom. Sinica, November, 2023

Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation.

Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., July, 2023

Multi-aspect heterogeneous information network for MOOC knowledge concept recommendation.

Xinhua Wang, Linzhao Jia, Lei Guo, Fangai Liu

Appl. Intell., May, 2023

Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval.

Lei Zhu, Tianshi Wang, Jingjing Li, Zheng Zhang, Jialie Shen, Xinhua Wang

ACM Trans. Inf. Syst., 2023

Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation.

Lei Guo, Chunxiao Wang, Xinhua Wang, Lei Zhu, Hongzhi Yin

CoRR, 2023

Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation.

Xinhua Wang, Houping Yue, Zizheng Wang, Liancheng Xu, Jinyu Zhang

Proceedings of the IEEE International Conference on Data Mining, 2023

Candidate-Aware Dynamic Representation for News Recommendation.

Liancheng Xu, Xiaoxiang Wang, Lei Guo, Jinyu Zhang, Xiaoqi Wu, Xinhua Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Towards Lightweight Cross-Domain Sequential Recommendation via External Attention-Enhanced Graph Convolution Network.

Jinyu Zhang, Huichuan Duan, Lei Guo, Liancheng Xu, Xinhua Wang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Does the author's collaboration mode lead to papers' different citation impacts? An empirical analysis based on propensity score matching.

Lingxu Fan, Lei Guo, Xinhua Wang, Liancheng Xu, Fangai Liu

J. Informetrics, 2022

HGNN: Hyperedge-based graph neural network for MOOC Course Recommendation.

Xinhua Wang, Wenyun Ma, Lei Guo, Haoran Jiang, Fangai Liu, Changdi Xu

Inf. Process. Manag., 2022

Discovering Knowledge-Point Importance From the Learning-Evaluation Data.

Hongfei Guo, Xiaomei Yu, Xinhua Wang, Lei Guo, Liancheng Xu, Ran Lu

Int. J. Distance Educ. Technol., 2022

Long- and Short-term Attention Network for Knowledge Tracing.

Liancheng Xu, Guangchao Wang, Lei Guo, Xinhua Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Task-adaptive Asymmetric Deep Cross-modal Hashing.

Fengling Li, Tong Wang, Lei Zhu, Zheng Zhang, Xinhua Wang

Knowl. Based Syst., 2021

Exploring Clustering-Based Reinforcement Learning for Personalized Book Recommendation in Digital Library.

Xinhua Wang, Yuchen Wang, Lei Guo, Liancheng Xu, Baozhong Gao, Fangai Liu, Wei Li

Inf., 2021

2020

Student Performance Prediction with Short-Term Sequential Campus Behaviors.

Xinhua Wang, Xuemeng Yu, Lei Guo, Fangai Liu, Liancheng Xu

Inf., 2020

Learning to Make Document Context-Aware Recommendation with Joint Convolutional Matrix Factorization.

Lei Guo, Yu Han, Haoran Jiang, Xinxin Yang, Xinhua Wang, Xiyu Liu

Complex., 2020

2019

A Dynamic Recommender System with Fused Time and Location Factors.

Xinhua Wang, Peng Yin, Yukai Gao, Lei Guo

J. Adv. Comput. Intell. Intell. Informatics, 2019

Exploiting Social Review-Enhanced Convolutional Matrix Factorization for Social Recommendation.

Xinhua Wang, Xinxin Yang, Lei Guo, Yu Han, Fangai Liu, Baozhong Gao

IEEE Access, 2019

2018

Personalized Recommendation Based on Contextual Awareness and Tensor Decomposition.

Zhenjiao Liu, Xinhua Wang, Tianlai Li, Lei Guo

J. Electron. Commer. Organ., 2018

Exploiting Pre-Trained Network Embeddings for Recommendations in Social Networks.

Lei Guo, Yufei Wen, Xinhua Wang

J. Comput. Sci. Technol., 2018

Location Regularization-Based POI Recommendation in Location-Based Social Networks.

Lei Guo, Haoran Jiang, Xinhua Wang

Inf., 2018

A novel approach for mining probabilistic frequent itemsets over uncertain data streams.

Tianlai Li, Fang'ai Liu, Xinhua Wang

Int. J. Appl. Decis. Sci., 2018

Interest-based Modeling Based on Group Wisdom and Its Application in Recommendation Algorithms.

Qiang Gao, Xinhua Wang, Lei Guo

Proceedings of the 5th International Conference on Systems and Informatics, 2018

2017

Learning to Recommend Point-of-Interest with the Weighted Bayesian Personalized Ranking Method in LBSNs.

Lei Guo, Haoran Jiang, Xinhua Wang, Fangai Liu

Inf., 2017

2013

A Ranking Information Forwarding Algorithm with Social Characteristic in Mobile Delay Tolerant Network.

Xinhua Wang, Jing-Qi Sui, Tianlai Li, Zhen Wang

Proceedings of the IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, 2013

2005

The Channel Assignment Algorithm on RP(k) Networks.

Fangai Liu, Xinhua Wang, Liancheng Xu

Proceedings of the Advances in Computer Systems Architecture, 10th Asia-Pacific Conference, 2005