Moyu Zhang

32 papers A* 4A 6B 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgenticRS-EnsNAS: Ensemble-Decoupled Self-Evolving Architecture Search.
CoRR
Yun Chen, Moyu Zhang, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2026 J jnl
Bridging Sequential and Contextual Features with a Dual-View of Fine-grained Core-Behaviors and Global Interest-Distribution.
CoRR
Yi Xu, Chaofan Fan, Moyu Zhang, Jinxin Hu, Jiahao Wang, Hao Zhang, Shizhun Wang, Yu Zhang, Xiaoyi Zeng
2026 J jnl
Deferred is Better: A Framework for Multi-Granularity Deferred Interaction of Heterogeneous Features.
CoRR
Yi Xu, Moyu Zhang, Chaofan Fan, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2026 A* conf
Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction.
WWW
Moyu Zhang, Yujun Jin, Yun Chen, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2026 A conf
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.
WSDM
Yi Xu, Moyu Zhang, Chenxuan Li, Zhihao Liao, Haibo Xing, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 — conf
A Dual-Channel Heterogeneous Hypergraph Convolutional Network for Dual-target Cross-domain Recommendation.
ECML/PKDD (5)
Moyu Zhang, Zhe Yang
2025 B conf
Adaptive Hierarchical Graph Neural Network for Non-overlapping Cross-Domain Recommendation.
IJCNN
Moyu Zhang, Zhe Yang
2025 A* conf
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval.
SIGIR
Hao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval.
CoRR
Hao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion.
CoRR
Moyu Zhang, Yun Chen, Yujun Jin, Jinxin Hu, Yu Zhang
2025 A conf
Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion.
CIKM
Moyu Zhang, Yongxiang Tang, Yujun Jin, Jinxin Hu, Yu Zhang
2025 J jnl
Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion.
CoRR
Moyu Zhang, Yongxiang Tang, Yujun Jin, Jinxin Hu, Yu Zhang
2025 A conf
Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework.
CIKM
Moyu Zhang, Yujun Jin, Jinxin Hu, Yu Zhang
2025 J jnl
Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework.
CoRR
Moyu Zhang, Yujun Jin, Jinxin Hu, Yu Zhang
2025 J jnl
Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction.
CoRR
Moyu Zhang, Yujun Jin, Yun Chen, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2025 J jnl
MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths.
CoRR
Moyu Zhang, Yun Chen, Yujun Jin, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2025 J jnl
MMQ-v2: Align, Denoise, and Amplify: Adaptive Behavior Mining for Semantic IDs Learning in Recommendation.
CoRR
Yi Xu, Moyu Zhang, Chaofan Fan, Jinxin Hu, Xiaochen Li, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.
CoRR
Yi Xu, Moyu Zhang, Chenxuan Li, Zhihao Liao, Haibo Xing, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2024 J jnl
Achieving optimal trade-off for student dropout prediction with multi-objective reinforcement learning.
PeerJ Comput. Sci.
Feng Pan, Hanfei Zhang, Xuebao Li, Moyu Zhang, Yang Ji
2024 A* conf
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context.
SIGIR
Moyu Zhang, Yongxiang Tang, Jinxin Hu, Yu Zhang
2024 J jnl
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context.
CoRR
Moyu Zhang, Yongxiang Tang, Jinxin Hu, Yu Zhang
2023 A* conf
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing.
ICDM
Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao
2023 J jnl
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing.
CoRR
Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao
2023 A conf
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts.
CIKM
Moyu Zhang, Xinning Zhu, Chunhong Zhang, Wenchen Qian, Feng Pan, Hui Zhao
2023 J jnl
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts.
CoRR
Moyu Zhang, Xinning Zhu, Chunhong Zhang, Wenchen Qian, Feng Pan, Hui Zhao
2023 J jnl
Indefinite risk-sensitive control.
Eur. J. Control
Bujar Gashi, Moyu Zhang
2023 A conf
No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths.
CIKM
Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao
2023 J jnl
No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths.
CoRR
Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao
2021 — conf
Combining Wikipedia to Identify Prerequisite Relations of Concepts in MOOCs.
ICONIP (5)
Haoyu Wen, Xinning Zhu, Moyu Zhang, Chunhong Zhang, Changchuan Yin
2021 A conf
Multi-Factors Aware Dual-Attentional Knowledge Tracing.
CIKM
Moyu Zhang, Xinning Zhu, Chunhong Zhang, Yang Ji, Feng Pan, Changchuan Yin
2021 J jnl
Multi-Factors Aware Dual-Attentional Knowledge Tracing.
CoRR
Moyu Zhang, Xinning Zhu, Chunhong Zhang, Yang Ji, Feng Pan, Changchuan Yin
2020 — conf
Input-Aware Neural Knowledge Tracing Machine.
ICPR Workshops (4)
Moyu Zhang, Xinning Zhu, Yang Ji