Zheng Zhang

According to our database, Zheng Zhang authored at least 14 papers between 2023 and 2024.

Collaborative distances:

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

2024

Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts.

Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Fei Wang, Yan Zhuang, Zheng Zhang, Weiyin Gong, Shijin Wang, Lina Yang, Xingying Huo

CoRR, 2024

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling.

Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang

CoRR, 2024

A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions.

Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen

CoRR, 2024

Understanding and improving fairness in cognitive diagnosis.

Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen

Sci. China Inf. Sci., 2024

Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling.

Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao

Proceedings of the ACM on Web Conference 2024, 2024

Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation.

Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective.

Zirui Hu, Zheng Zhang, Wenjun Feng, Qi Liu

Proceedings of the Knowledge Science, Engineering and Management, 2024

Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models.

Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework.

Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng

Proceedings of the Database Systems for Advanced Applications, 2024

CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework.

Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives.

Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective.

Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen

CoRR, 2023

Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis.

Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

FairLISA: Fair User Modeling with Limited Sensitive Attributes Information.

Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen

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