Moyu Zhang

According to our database, Moyu Zhang authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.

Yi Xu, Moyu Zhang, Chenxuan Li, Zhihao Liao, Haibo Xing, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng, Jing Zhang

CoRR, August, 2025

DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion.

Moyu Zhang, Yun Chen, Yujun Jin, Jinxin Hu, Yu Zhang

CoRR, August, 2025

Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework.

Moyu Zhang, Yujun Jin, Jinxin Hu, Yu Zhang

CoRR, August, 2025

Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion.

Moyu Zhang, Yongxiang Tang, Yujun Jin, Jinxin Hu, Yu Zhang

CoRR, August, 2025

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval.

Hao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen, Yu Zhang, Xiaoyi Zeng, Jing Zhang

CoRR, April, 2025

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval.

Hao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen, Yu Zhang, Xiaoyi Zeng, Jing Zhang

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

2024

Achieving optimal trade-off for student dropout prediction with multi-objective reinforcement learning.

Feng Pan, Hanfei Zhang, Xuebao Li, Moyu Zhang, Yang Ji

PeerJ Comput. Sci., 2024

Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context.

Moyu Zhang, Yongxiang Tang, Jinxin Hu, Yu Zhang

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

2023

Indefinite risk-sensitive control.

Bujar Gashi, Moyu Zhang

Eur. J. Control, January, 2023

Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing.

Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao

Proceedings of the IEEE International Conference on Data Mining, 2023

Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts.

Moyu Zhang, Xinning Zhu, Chunhong Zhang, Wenchen Qian, Feng Pan, Hui Zhao

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

No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths.

Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao

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

2021

Combining Wikipedia to Identify Prerequisite Relations of Concepts in MOOCs.

Haoyu Wen, Xinning Zhu, Moyu Zhang, Chunhong Zhang, Changchuan Yin

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Multi-Factors Aware Dual-Attentional Knowledge Tracing.

Moyu Zhang, Xinning Zhu, Chunhong Zhang, Yang Ji, Feng Pan, Changchuan Yin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Input-Aware Neural Knowledge Tracing Machine.

Moyu Zhang, Xinning Zhu, Yang Ji

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020