Ziwen Wang

According to our database, Ziwen Wang authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware General Neural Network Framework.

Ziwen Wang, Jingyuan Wang, Haiping Ma, Hengshu Zhu, Shangshang Yang, Xiaoshan Yu, Shuhuan Liu, Haifeng Zhang, Xingyi Zhang

ACM Trans. Intell. Syst. Technol., April, 2026

Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions.

Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang

CoRR, January, 2026

Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective.

Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang

CoRR, January, 2026

Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective.

Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing.

Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder.

Shangshang Yang, Xuewen Duan, Xiaoshan Yu, Ziwen Wang, Haiping Ma, Xingyi Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

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

Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing.

Changqian Wang, Shangshang Yang, Siyu Song, Ziwen Wang, Haiping Ma, Xingyi Zhang, Bo Jin

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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