Xiaoshan Yu

According to our database, Xiaoshan Yu authored at least 16 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework.

Shangshang Yang, Jialin Han, Xiaoshan Yu, Ziwen Wang, Hao Jiang, Haiping Ma, Xingyi Zhang, Geyong Min

CoRR, August, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Learning Patterns-Guided Data Generation for Knowledge Tracing.

Haiping Ma, Yi Yin, Ziwen Wang, Changqian Wang, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective.

Xiaoshan Yu, Shangshang Yang, Jian Li, Ziwen Wang, Chuan Qin, Haiping Ma, Xingyi Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Cascade Adversarial Attack Search.

Ziwen Wang, Daoli Shen, Xiangkun Sun, Shangshang Yang, Xiaoshan Yu, Ye Tian

Proceedings of the International Joint Conference on Neural Networks, 2025

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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer.

Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong

IEEE Trans. Knowl. Data Eng., July, 2024

Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks.

Shangshang Yang, Linrui Qin, Xiaoshan Yu

CoRR, 2024

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

Proceedings of the ACM on Web Conference 2024, 2024

DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis.

Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis.

Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing.

Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective.

Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023