| 2026 | SIGIR | Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA. | Keyu Zhu, Shuanghong Shen, Xianquan Wang, Kai Zhang, Shijin Wang, Qi Liu, Zhenya Huang |
| 2025 | AAAI | ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction. | Zixiao Kong, Xianquan Wang, Shuanghong Shen, Keyu Zhu, Huibo Xu, Yu Su |
| 2025 | ACL | CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval. | Heng Yu, Junfeng Kang, Rui Li, Qi Liu, Liyang He, Zhenya Huang, Shuanghong Shen, Junyu Lu |
| 2025 | DASFAA | Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context. | Jianfang Chen, Kai Zhang, Aoran Gan, Shiwei Tong, Shuanghong Shen, Qi Liu |
| 2025 | ICML | am-ELO: A Stable Framework for Arena-based LLM Evaluation. | Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang |
| 2025 | IJCAI | CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. | Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang |
| 2025 | KDD | Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective. | Xianquan Wang, Likang Wu, Zhi Li, Haitao Yuan, Shuanghong Shen, Huibo Xu, Yu Su, Chenyi Lei |
| 2024 | CIKM | Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach. | Yuxiang Guo, Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su, Enhong Chen |
| 2024 | DASFAA | Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective. | Weizhe Huang, Shuanghong Shen, Zhenya Huang, Qi Liu, Junyu Lu, Yu Su |
| 2024 | KDD | Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective. | Haotian Zhang, Shuanghong Shen, Bihan Xu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang |
| 2023 | KDD | Learning Behavior-oriented Knowledge Tracing. | Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang |
| 2023 | WWW | Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. | Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li |
| 2023 | SIGIR | Learning from Crowds with Annotation Reliability. | Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang |
| 2022 | AAAI | Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. | Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma |
| 2022 | ICTAI | Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing. | Xiaonan Zeng, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang |
| 2022 | SIGIR | PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing. | Ruixin Li, Yu Yin, Le Dai, Shuanghong Shen, Xin Lin, Yu Su, Enhong Chen |
| 2022 | SIGIR | Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. | Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen |
| 2021 | KDD | Learning Process-consistent Knowledge Tracing. | Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang |
| 2020 | SIGIR | Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. | Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang |