Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective. - Shuhuan Liu; Xiaoshan Yu 002; Haiping Ma; Ziwen Wang 006; Chuan Qin 002; Xingyi Zhang 001 (CIKM, 2023)

Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing. - Shangshang Yang; Xiaoshan Yu 002; Ye Tian 009; Xueming Yan; Haiping Ma; Xingyi Zhang 001 (NeurIPS, 2023)

DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. - Xiaoshan Yu 002; Chuan Qin 002; Qi Zhang 053; Chen Zhu 003; Haiping Ma; Xingyi Zhang 001; Hengshu Zhu (ICDM, 2024)

DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis. - Haiping Ma; Siyu Song; Chuan Qin 002; Xiaoshan Yu 002; Limiao Zhang; Xingyi Zhang 001; Hengshu Zhu (IJCAI, 2024)

RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. - Xiaoshan Yu 002; Chuan Qin 002; Dazhong Shen; Shangshang Yang; Haiping Ma; Hengshu Zhu; Xingyi Zhang 001 (KDD, 2024)

DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis. - Shangshang Yang; Mingyang Chen; Ziwen Wang 006; Xiaoshan Yu 002; Panpan Zhang; Haiping Ma; Xingyi Zhang 001 (NeurIPS, 2024)

HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. - Haiping Ma; Yong Yang; Chuan Qin 002; Xiaoshan Yu 002; Shangshang Yang; Xingyi Zhang 001; Hengshu Zhu (WWW, 2024)

Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks. - Shangshang Yang; Linrui Qin; Xiaoshan Yu 002 (CoRR, 2024)

RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer. - Xiaoshan Yu 002; Chuan Qin 002; Dazhong Shen; Haiping Ma; Le Zhang 010; Xingyi Zhang 001; Hengshu Zhu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2024)

LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization. - Xiaoshan Yu 002; Shangshang Yang; Ziwen Wang 006; Siyu Song; Haiping Ma; Zhiguang Cao; Xingyi Zhang 001 (SIGIR, 2025)

Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing. - Haiping Ma; Weiyuan Zhou; Xiaoshan Yu 002; Changqian Wang; Shangshang Yang; Limiao Zhang; Xingyi Zhang 001 (SIGIR, 2025)

FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework. - Shangshang Yang; Jialin Han; Xiaoshan Yu 002; Ziwen Wang 006; Hao Jiang 023; Haiping Ma; Xingyi Zhang 001; Geyong Min (CoRR, 2025)