Xiaoxuan Shen

48 papers A* 7A 1B 2Journal 36Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A dual-strategy multi-objective evolutionary algorithm with domain-informed mutation and secondary weighted selection for counterfactual explanations in knowledge tracing.
Appl. Soft Comput.
Lu Gao, Xin Yuan, Xiaoxuan Shen, Jianwen Sun
2026 J jnl
Beyond Error-Based Optimization: Experience-Driven Symbolic Regression with Goal-Conditioned Reinforcement Learning.
CoRR
Jianwen Sun, Xinrui Li, Fuqing Li, Xiaoxuan Shen
2026 J jnl
Evolvable psychology informed neural network for memory behavior modeling.
Inf. Process. Manag.
Xiaoxuan Shen, Zhihai Hu, Qirong Chen, Pei Wang
2026 J jnl
Fuzzy prototype transfer learning for non-overlapping cross-domain recommendation.
Expert Syst. Appl.
Ruxia Liang, Qinglin Huang, Xiaoxuan Shen
2026 A* conf
Invariant Representation Learning for Memory Behavior Modeling via Adaptive Environment Separation.
AAAI
Xiaoxuan Shen, Zhihai Hu, Fuqing Li, Shengyingjie Liu, Jianwen Sun
2026 J jnl
Mitigating Overthinking in Large Reasoning Models via Difficulty-aware Reinforcement Learning.
CoRR
Qian Wan, Ziao Xu, Luona Wei, Xiaoxuan Shen, Jianwen Sun
2026 J jnl
Modeling semantic representation with LLM-enhanced for knowledge-aware recommendation.
Inf. Process. Manag.
Jianfang Liu, Baolin Yi, Huanyu Zhang, Xiaoxuan Shen, Lingling Song, Yu Lei, Hao Zheng
2025 A* conf
A Plug-in Critiquing Approach for Knowledge Graph Recommendation Systems via Representative Sampling.
WWW
Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Jianfang Liu, Yinao Xie
2025 — conf
Combining Denoised Neural Network and Genetic Symbolic Regression for Memory Behavior Modeling via Dynamic Asynchronous Optimization.
KDD (2)
Jianwen Sun, Qirong Chen, Zhenya Huang, Zhihai Hu, Ruxia Liang, Xiaoxuan Shen
2025 B conf
CourseLRec: Leveraging Large Language Models for Personalized Course Recommendations.
IJCNN
Zelin Cao, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Pengcheng Li, Jianfang Liu, Wei Wang
2025 A* conf
DiffuQKT: A Diffusion-Based Approach for Improved Question Representation in Knowledge Tracing.
ACM Multimedia
Fenghua Yu, Jianwen Sun, Qian Wan, Meicheng Chen, Xiaoxuan Shen, Qing Li
2025 J jnl
Dual-view multi-scale cognitive representation for deep knowledge tracing.
Knowl. Based Syst.
Qing Li, Xin Yuan, Jieyu Yue, Xiaoxuan Shen, Ruxia Liang, Sannyuya Liu, Zhonghua Yan
2025 J jnl
Enhancing knowledge tracing with question-based contrastive learning.
Knowl. Based Syst.
Xiaoxuan Shen, Fenghua Yu, Yaqi Liu, Ruxia Liang, Qian Wan, Tianhao Yang, Mengtian Shi, Jianwen Sun
2025 J jnl
Items Proxy Bridging: Enabling Frictionless Critiquing in Knowledge Graph Recommendations.
CoRR
Huanyu Zhang, Xiaoxuan Shen, Yu Lei, Baolin Yi, Jianfang Liu, Yinao Xie
2025 J jnl
Multi-level Contrastive Learning for Knowledge Tracing.
ACM Trans. Knowl. Discov. Data
Xiaoxuan Shen, Fenghua Yu, Qian Wan, Ruxia Liang, Jianwen Sun
2025 J jnl
Multi-objective math problem generation using large language model through an adaptive multi-level retrieval augmentation framework.
Inf. Fusion
Jianwen Sun, Wangzi Shi, Xiaoxuan Shen, Shengyingjie Liu, Luona Wei, Qian Wan
2025 J jnl
Question Embedding on Weighted Heterogeneous Information Network for Knowledge Tracing.
ACM Trans. Knowl. Discov. Data
Jianwen Sun, Shangheng Du, Jianpeng Zhou, Xin Yuan, Xiaoxuan Shen, Ruxia Liang
2025 A conf
ROKAN: Toward Interpretable and Domain-Robust Memory Behavior Modeling.
CIKM
Xiaoxuan Shen, Zhihai Hu, Di Chen, Jianwen Sun, Shengyingjie Liu
2025 J jnl
Semantic relation-aware graph attention network with noise augmented layer-wise contrastive learning for recommendation.
Knowl. Based Syst.
Jianfang Liu, Wei Wang, Baolin Yi, Huanyu Zhang, Xiaoxuan Shen
2025 A* conf
VCR: A "Cone of Experience" Driven Synthetic Data Generation Framework for Mathematical Reasoning.
AAAI
Sannyuya Liu, Jintian Feng, Xiaoxuan Shen, Shengyingjie Liu, Qian Wan, Jianwen Sun
2024 J jnl
A Genetic Causal Explainer for Deep Knowledge Tracing.
IEEE Trans. Evol. Comput.
Qing Li, Xin Yuan, Sannyuya Liu, Lu Gao, Tianyu Wei, Xiaoxuan Shen, Jianwen Sun
2024 J jnl
Autobalanced Multitask Node Embedding Framework for Intelligent Education.
IEEE Trans. Neural Networks Learn. Syst.
Xiaoxuan Shen, Jianwei Yu, Ruxia Liang, Qing Li, Shengyingjie Liu, Shangheng Du, Jianwen Sun, Sannyuya Liu
2024 J jnl
Automated discovery of symbolic laws governing skill acquisition from naturally occurring data.
CoRR
Sannyuya Liu, Qing Li, Xiaoxuan Shen, Jianwen Sun, Zongkai Yang
2024 J jnl
Automated discovery of symbolic laws governing skill acquisition from naturally occurring data.
Nat. Comput. Sci.
Sannyuya Liu, Qing Li, Xiaoxuan Shen, Jianwen Sun, Zongkai Yang
2024 J jnl
COMET : "cone of experience" enhanced large multimodal model for mathematical problem generation.
Sci. China Inf. Sci.
Sannyuya Liu, Jintian Feng, Zongkai Yang, Yawei Luo, Qian Wan, Xiaoxuan Shen, Jianwen Sun
2024 J jnl
COMET: "Cone of experience" enhanced large multimodal model for mathematical problem generation.
CoRR
Sannyuya Liu, Jintian Feng, Zongkai Yang, Yawei Luo, Qian Wan, Xiaoxuan Shen, Jianwen Sun
2024 B conf
Causal Feature-Enhanced Collaborative Filtering Algorithm.
IJCNN
Chao Dai, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Wei Wang, WeiZheng Luo
2024 J jnl
Contrastive multi-interest graph attention network for knowledge-aware recommendation.
Expert Syst. Appl.
Jianfang Liu, Wei Wang, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang
2024 J jnl
Deep adversarial group recommendation with user feature space separation.
User Model. User Adapt. Interact.
Jianwen Sun, Shangheng Du, Ruxia Liang, Xiaoxuan Shen, Qing Li, Sannyuya Liu, Zongkai Yang
2024 J jnl
Evolvable Psychology Informed Neural Network for Memory Behavior Modeling.
CoRR
Xiaoxuan Shen, Zhihai Hu, Qirong Chen, Shengyingjie Liu, Ruxia Liang, Jianwen Sun
2024 J jnl
Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems.
ACM Trans. Inf. Syst.
Sannyuya Liu, Shengyingjie Liu, Zongkai Yang, Jianwen Sun, Xiaoxuan Shen, Qing Li, Rui Zou, Shangheng Du
2024 J jnl
Hyperbolic embedding of discrete evolution graphs for intelligent tutoring systems.
Expert Syst. Appl.
Shengyingjie Liu, Zongkai Yang, Sannyuya Liu, Ruxia Liang, Jianwen Sun, Qing Li, Xiaoxuan Shen
2024 A* conf
Interpretable Knowledge Tracing with Multiscale State Representation.
WWW
Jianwen Sun, Fenghua Yu, Qian Wan, Qing Li, Sannyuya Liu, Xiaoxuan Shen
2024 J jnl
Knowledge-aware fine-grained attention networks with refined knowledge graph embedding for personalized recommendation.
Expert Syst. Appl.
Wei Wang, Xiaoxuan Shen, Baolin Yi, Huanyu Zhang, Jianfang Liu, Chao Dai
2024 A* conf
Revisiting Knowledge Tracing: A Simple and Powerful Model.
ACM Multimedia
Xiaoxuan Shen, Fenghua Yu, Yaqi Liu, Ruxia Liang, Qian Wan, Kai Yang, Jianwen Sun
2024 J jnl
Weighted Heterogeneous Graph-Based Three-View Contrastive Learning for Knowledge Tracing in Personalized e-Learning Systems.
IEEE Trans. Consumer Electron.
Jianwen Sun, Shangheng Du, Zhi Liu, Fenghua Yu, Sannyuya Liu, Xiaoxuan Shen
2023 A* conf
Adversarial Bootstrapped Question Representation Learning for Knowledge Tracing.
ACM Multimedia
Jianwen Sun, Fenghua Yu, Sannyuya Liu, Yawei Luo, Ruxia Liang, Xiaoxuan Shen
2023 J jnl
Dual-track feedback aggregation recommendation model for programming training.
Knowl. Based Syst.
Songkai Zhu, Xiaoxuan Shen, Xiuling He, Jing Fang, Yangyang Li
2023 J jnl
KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs.
Expert Syst. Appl.
Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Wei Wang, Yong Feng
2023 J jnl
RIECN: learning relation-based interactive embedding convolutional network for knowledge graph.
Neural Comput. Appl.
Wei Wang, Xiaoxuan Shen, Huanyu Zhang, Zhifei Li, Baolin Yi
2023 J jnl
Separated Graph Neural Networks for Recommendation Systems.
IEEE Trans. Ind. Informatics
Jianwen Sun, Lu Gao, Xiaoxuan Shen, Sannyuya Liu, Ruxia Liang, Shangheng Du, Shengyingjie Liu
2022 J jnl
Ability boosted knowledge tracing.
Inf. Sci.
Sannyuya Liu, Jianwei Yu, Qing Li, Ruxia Liang, Yunhan Zhang, Xiaoxuan Shen, Jianwen Sun
2022 J jnl
EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System.
IEEE Trans. Ind. Informatics
Hai Liu, Chao Zheng, Duantengchuan Li, Xiaoxuan Shen, Ke Lin, Jiazhang Wang, Zhen Zhang, Zhaoli Zhang, Neal N. Xiong
2022 J jnl
Multi-perspective social recommendation method with graph representation learning.
Neurocomputing
Hai Liu, Chao Zheng, Duantengchuan Li, Zhaoli Zhang, Ke Lin, Xiaoxuan Shen, Neal N. Xiong, Jiazhang Wang
2021 J jnl
Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System.
IEEE Trans. Knowl. Data Eng.
Xiaoxuan Shen, Baolin Yi, Hai Liu, Wei Zhang, Zhaoli Zhang, Sannyuya Liu, Naixue Xiong
2019 J jnl
Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System.
IEEE Trans. Ind. Informatics
Baolin Yi, Xiaoxuan Shen, Hai Liu, Zhaoli Zhang, Wei Zhang, Sannyuya Liu, Naixue Xiong
2018 J jnl
A content-based recommendation algorithm for learning resources.
Multim. Syst.
Jiangbo Shu, Xiaoxuan Shen, Hai Liu, Baolin Yi, Zhaoli Zhang
2016 — conf
Expanded autoencoder recommendation framework and its application in movie recommendation.
SKIMA
Baolin Yi, Xiaoxuan Shen, Zhaoli Zhang, Jiangbo Shu, Hai Liu