Moyu Zhang
Orcid: 0000-0002-9104-1881
According to our database1,
Moyu Zhang
authored at least 19 papers
between 2020 and 2025.
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Bibliography
2025
MMQ-v2: Align, Denoise, and Amplify: Adaptive Behavior Mining for Semantic IDs Learning in Recommendation.
CoRR, October, 2025
MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths.
CoRR, October, 2025
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.
CoRR, August, 2025
DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion.
CoRR, August, 2025
Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework.
CoRR, August, 2025
CoRR, August, 2025
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval.
CoRR, April, 2025
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
A Dual-Channel Heterogeneous Hypergraph Convolutional Network for Dual-target Cross-domain Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025
Adaptive Hierarchical Graph Neural Network for Non-overlapping Cross-Domain Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2025
2024
Achieving optimal trade-off for student dropout prediction with multi-objective reinforcement learning.
PeerJ Comput. Sci., 2024
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
2023
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing.
Proceedings of the IEEE International Conference on Data Mining, 2023
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts.
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.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020