Input-Aware Neural Knowledge Tracing Machine. - Moyu Zhang; Xinning Zhu; Yang Ji 001 (ICPR Workshops (4), 2020)

Multi-Factors Aware Dual-Attentional Knowledge Tracing. - Moyu Zhang; Xinning Zhu; Chunhong Zhang; Yang Ji 001; Feng Pan 010; Changchuan Yin (CIKM, 2021)

Combining Wikipedia to Identify Prerequisite Relations of Concepts in MOOCs. - Haoyu Wen; Xinning Zhu; Moyu Zhang; Chunhong Zhang; Changchuan Yin (ICONIP (5), 2021)

No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths. - Moyu Zhang; Xinning Zhu; Chunhong Zhang; Feng Pan 010; Wenchen Qian; Hui Zhao 001 (CIKM, 2023)

Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts. - Moyu Zhang; Xinning Zhu; Chunhong Zhang; Wenchen Qian; Feng Pan 010; Hui Zhao 001 (CIKM, 2023)

Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing. - Moyu Zhang; Xinning Zhu; Chunhong Zhang; Feng Pan 010; Wenchen Qian; Hui Zhao 001 (ICDM, 2023)

Indefinite risk-sensitive control. - Bujar Gashi; Moyu Zhang (Eur. J. Control, 2023)

Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context. - Moyu Zhang; Yongxiang Tang; Jinxin Hu; Yu Zhang (SIGIR, 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)

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval. - Hao Deng; Haibo Xing; Kanefumi Matsuyama; Moyu Zhang; Jinxin Hu; Hong Wen 002; Yu Zhang 206; Xiaoyi Zeng; Jing Zhang 037 (SIGIR, 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, 2025)

Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion. - Moyu Zhang; Yongxiang Tang; Yujun Jin; Jinxin Hu; Yu Zhang (CoRR, 2025)

Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework. - Moyu Zhang; Yujun Jin; Jinxin Hu; Yu Zhang (CoRR, 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, 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, 2025)