- I am an associate researcher (postdoctor) at the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center. My collaborative supervisors are Prof. Qi Liu, and Prof. Xun Chen.
- I received my Ph.D. degree in Data Science from the University of Science and Technology of China in July 2024, supervised by Prof. Enhong Chen, and received my Bachelor degree in Measurement and Control Technology and Instrument from Wuhan University in July 2018.
- My research interests include data mining, knowledge discovery, user modeling, and intelligent education. If you have any questions regarding my research, or may be interested in potential collaboration, or would like to discuss any other matters, please do not hesitate to contact me. I look forward to the opportunity to cooperate with you.
🔥 News
- 2025.07: 🎉🎉 One paper accepted by Neural Networks.
- 2025.04: 🎉🎉 One paper accepted by Knowledge-Based Systems.
- 2024.12: 🎉🎉 One paper accepted by AAAI 2025.
- 2024.11: 🎉🎉 One paper accepted by KDD 2025.
📝 Selected Publications
( ✉ Corresponding Author, † Equal Contribution )
- Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Junyu Lu, Kai Zhang. Practicing in quiz, assessing in quiz: A Quiz-based neural network approach for knowledge tracing.
- Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen✉, Lina Yang, Hui Li. Harnessing code domain insights: Enhancing programming Knowledge Tracing with Large Language Models[J]. Knowledge-Based Systems, 2025, 317: 113396.
- Zixiao Kong, Xianquan Wang, Shuanghong Shen✉, Keyu Zhu, Huibo Xu, Yu Su. ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2025, 39(23): 24339-24347.
- Xianquan Wang, Likang Wu, Zhi Li, Haitao Yuan, Shuanghong Shen✉, Huibo Xu, Yu Su, Chenyi Lei. Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective[C]//Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 1. 2025: 1515-1526.
- Shuanghong Shen, Qi Liu, Zhenya Huang, Yonghe Zheng, Minghao Yin, Minjuan Wang, Enhong Chen. A Survey of Knowledge Tracing: Models, Variants, and Applications[J]. IEEE Transactions on Learning Technologies, 2024, 17: 1858-1879.
- Yu Su, Ze Han, Shuanghong Shen✉, Xuejie Yang, Zhenya Huang, Jinze Wu, Huawei Zhou, Qi Liu. Constructing a Confidence-guided Multigraph Model for cognitive diagnosis in personalized learning[J]. Expert Systems with Applications, 2024, 252: 124259.
- Yu Su, Shuanghong Shen✉, Enhong Chen, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang. Global and Local Neural Cognitive Modeling for Student Performance Prediction[J]. Expert Systems with Applications, 2024, 237: 121637.
- Shuanghong Shen, Enhong Chen, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang. Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(8): 8213-8227.
- Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen. Assessing Student’s Dynamic Knowledge State by Exploring the Question Difficulty Effect[C]//Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval. 2022: 427-437.
- Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang. Learning Process-consistent Knowledge Tracing[C]//Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining. 2021: 1452-1460.
- Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang. Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process[C]//Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval. 2020: 1857-1860.
- Mengxiao Zhu, Qi Shu, Shuanghong Shen, Li Feng, Jiancan Wu, Zhenya Huang. Live Streaming Recommendation Based on Multiple Types of Repeated Behaviors[J]. Expert Systems with Applications, 2025: 128217.
- Yu Su, Xiangyu Zheng, Junyu Lu, Yi Gong, Qijuan Gao, Shuanghong Shen, Qi Liu. Semantic distillation and enhanced diagnostic alignment: A novel approach for depression detection in social media[J]. Expert Systems with Applications, 2025, 279: 127346.
- Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Fei Wang, Yan Zhuang, Zheng Zhang, Weiyin Gong, Shijin Wang, Lina Yang, Xingying Huo. HCD: A Hierarchy Constraint-Aware Neural Cognitive Diagnosis Framework[J]. Neural Networks, 2025: 107668.
- Shuting Li, Shuanghong Shen, Yu Su, Xinjie Sun, Junyu Lu, Qi Mo, Zhenyi Wu, Qi Liu. STHKT: Spatiotemporal Knowledge Tracing with Topological Hawkes Process[J]. Expert Systems with Applications, 2025, 259: 125248.
- Suojuan Zhang, Jie Pu, Jing Cui, Shuanghong Shen, Weiwei Chen, Kun Hu, Enhong Chen. MLC-DKT: A multi-layer context-aware deep knowledge tracing model[J]. Knowledge-Based Systems, 2024, 303: 112384.
- Yuxiang Guo, Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su, Enhong Chen. Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach[C]//Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. 2024: 727-736.
- Haotian Zhang, Shuanghong Shen, Bihan Xu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang. Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective[C]//Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2024: 4167-4178.
- Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang. Learning behavior-oriented knowledge tracing[C]//Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and data mining. 2023: 2789-2800.
- Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li. Tracing knowledge instead of patterns: Stable knowledge tracing with diagnostic transformer[C]//Proceedings of the ACM web conference 2023. 2023: 855-864.
🎖 Honors and Awards
- 2023: The Special Prize of President Scholarship of Postgraduate Students.
- 2023: China National Scholarship.
- 2023: Best Applied Paper of CCF BigData2023.
- 2023: Top 1 in the AAAI’2023 Global Knowledge Tracing Challenge.
- 2023: Top 4 in Task 2 of the Baidu 2023 CTI Challenge.
- 2022: Top 1 in Task 4 of the NeurIPS’2022 CausalML Challenge.
- 2022: Top 1 in Track 1 and Track 2 of the first phase, and Top 1 in Track 1, Top 2 in Track 2 of the second phase, of the EDM’2022 2nd CSEDM Data Challenge.
- 2021: Top 10 in Task 1 of the Tecent 2021 Advertising Algorithm Challenge.
- 2020: Top 1 in Task 2 of the NeurIPS 2020 Education Challenge.
📖 Educations
- 2018.09 - 2024.06, School of Artificial Intelligence and Data Science, University of Science and Technology of China.
- 2014.09 - 2018.06, School of Electronic Information, Wuhan University.
💬 Services
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Journal Reviewer
- IEEE Transactions on Knowledge and Data Engineering
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Transactions on Systems, Man, and Cybernetics publication information
- IEEE Transactions on Learning Technologies
- IEEE Transactions on Emerging Topics in Computational Intelligence
- ACM Transactions on Information Systems
- Expert Systems with Applications
- Knowledge-Based Systems
- Information Processing and Management
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Program Committee Member
- SIGIR
- AAAI
- KDD
- IJCAI
- TheWebConf