Xiaoshan Yu

27 papers A* 11A 1B 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective.
CoRR
Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang
2026 A* conf
Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder.
AAAI
Shangshang Yang, Xuewen Duan, Xiaoshan Yu, Ziwen Wang, Haiping Ma, Xingyi Zhang
2026 A* conf
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing.
AAAI
Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang
2026 J jnl
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware General Neural Network Framework.
ACM Trans. Intell. Syst. Technol.
Ziwen Wang, Jingyuan Wang, Haiping Ma, Hengshu Zhu, Shangshang Yang, Xiaoshan Yu, Shuhuan Liu, Haifeng Zhang, Xingyi Zhang
2026 J jnl
Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions.
CoRR
Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang
2025 B conf
Cascade Adversarial Attack Search.
IJCNN
Ziwen Wang, Daoli Shen, Xiangkun Sun, Shangshang Yang, Xiaoshan Yu, Ye Tian
2025 A* conf
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks.
IJCAI
Shangshang Yang, Linrui Qin, Xiaoshan Yu, Ziwen Wang, Xueming Yan, Haiping Ma, Ye Tian
2025 J jnl
FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework.
CoRR
Shangshang Yang, Jialin Han, Xiaoshan Yu, Ziwen Wang, Hao Jiang, Haiping Ma, Xingyi Zhang, Geyong Min
2025 A* conf
LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization.
SIGIR
Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang
2025 — conf
Learning Patterns-Guided Data Generation for Knowledge Tracing.
KDD (2)
Haiping Ma, Yi Yin, Ziwen Wang, Changqian Wang, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang
2025 J jnl
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing.
CoRR
Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang
2025 A* conf
Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing.
SIGIR
Haiping Ma, Weiyuan Zhou, Xiaoshan Yu, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang
2025 — conf
Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective.
KDD (2)
Xiaoshan Yu, Shangshang Yang, Jian Li, Ziwen Wang, Chuan Qin, Haiping Ma, Xingyi Zhang
2024 A* conf
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis.
IJCAI
Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu
2024 A* conf
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation.
ICDM
Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu
2024 J jnl
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation.
CoRR
Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu
2024 A* conf
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis.
NeurIPS
Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang
2024 J jnl
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis.
CoRR
Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang
2024 J jnl
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks.
CoRR
Shangshang Yang, Linrui Qin, Xiaoshan Yu
2024 A* conf
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection.
WWW
Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu
2024 J jnl
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer.
IEEE Trans. Knowl. Data Eng.
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong
2024 A* conf
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
KDD
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2024 J jnl
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
CoRR
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2023 J jnl
Architecture entropy sampling-based evolutionary neural architecture search and its application in osteoporosis diagnosis.
Complex Intell. Syst.
Jianjun Chu, Xiaoshan Yu, Shangshang Yang, Jianfeng Qiu, Qijun Wang
2023 A* conf
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing.
NeurIPS
Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang
2023 J jnl
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing.
CoRR
Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang
2023 A conf
Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective.
CIKM
Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang