| 2026 | AAAI | Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder. | Shangshang Yang, Xuewen Duan, Xiaoshan Yu, Ziwen Wang, Haiping Ma, Xingyi Zhang |
| 2026 | AAAI | PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing. | Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang |
| 2026 | KDD | Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective. | Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang |
| 2025 | IJCAI | Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks. | Shangshang Yang, Linrui Qin, Xiaoshan Yu, Ziwen Wang, Xueming Yan, Haiping Ma, Ye Tian |
| 2025 | IJCNN | Cascade Adversarial Attack Search. | Ziwen Wang, Daoli Shen, Xiangkun Sun, Shangshang Yang, Xiaoshan Yu, Ye Tian |
| 2025 | KDD | Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective. | Xiaoshan Yu, Shangshang Yang, Jian Li, Ziwen Wang, Chuan Qin, Haiping Ma, Xingyi Zhang |
| 2025 | KDD | Learning Patterns-Guided Data Generation for Knowledge Tracing. | Haiping Ma, Yi Yin, Ziwen Wang, Changqian Wang, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang |
| 2025 | SIGIR | LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization. | Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang |
| 2025 | SIGIR | Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing. | Haiping Ma, Weiyuan Zhou, Xiaoshan Yu, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang |
| 2024 | ICDM | DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. | Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu |
| 2024 | IJCAI | DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis. | Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu |
| 2024 | INFOCOM | Ensemble Learning-based Traffic Classification with Small-Scale Datasets for Wireless Networks. | Xiaorong Wang, Wenting Wei, Xiaoshan Yu, Danyang Zheng, Neeraj Kumar, Lei Liu |
| 2024 | KDD | RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. | Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang |
| 2024 | WWW | HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. | Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu |
| 2023 | CIKM | Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective. | Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang |
| 2016 | PDCAT | Flow Driven Energy-Aware Routing Algorithm in Data Center Network. | Pengfei Duan, Kun Wang, Xiaoshan Yu, Liangkai Liu, Huaxi Gu, Yantao Guo |