| 2026 | ACL | Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem. | Lichang Song, Ting Long, Yi Chang |
| 2026 | DASFAA | Improving Question Recommendation Through Oracle Recommendation Imitation. | Haipeng Liu, Ting Long, Yixiang Shan, Liang Yin, Yi Chang |
| 2025 | DASFAA | Personalized Education with Ranking Alignment Recommendation. | Haipeng Liu, Yuxuan Liu, Ting Long |
| 2025 | DASFAA | HierLLM: Hierarchical Large Language Model for Question Recommendation. | Yuxuan Liu, Haipeng Liu, Ting Long |
| 2025 | ICLR | Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency. | Qifan Liang, Yixiang Shan, Haipeng Liu, Zhengbang Zhu, Ting Long, Weinan Zhang, Yuan Tian |
| 2025 | ICLR | ContraDiff: Planning Towards High Return States via Contrastive Learning. | Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin |
| 2025 | IJCNN | CECAT: Certainty-Guaranteed Environment for Computerized Adaptive Testing. | Jingwei Yu, Zhenyu Mu, Weiwen Liu, Ting Long, Weiming Zhang, Weinan Zhang, Yong Yu |
| 2025 | IJCNN | IECAT: an Individualized High-Efficiency Ability Assessment for Computerized Adaptive Testing. | Jingwei Yu, Zhenyu Mu, Weiwen Liu, Hangyu Wang, Ting Long, Weinan Zhang, Yong Yu |
| 2025 | WWW | Simulating Question-answering Correctness with a Conditional Diffusion. | Ting Long, Li'ang Yin, Yi Chang, Wei Xia, Yong Yu |
| 2024 | ICML | DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching. | Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang |
| 2023 | KDD | GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. | Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu |
| 2022 | AAAI | Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. | Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu |
| 2022 | EDM | Automatical Graph-based Knowledge Tracing. | Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu |
| 2022 | ICONIP | Heterogeneous Graph Representation for Knowledge Tracing. | Jisen Chen, Jian Shen, Ting Long, Liping Shen, Weinan Zhang, Yong Yu |
| 2022 | WSDM | Improving Knowledge Tracing with Collaborative Information. | Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu |
| 2021 | SIGIR | Tracing Knowledge State with Individual Cognition and Acquisition Estimation. | Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu |