Moyu Zhang
Orcid: 0000-0002-9104-1881
According to our database1,
Moyu Zhang authored at least 24 papers
between 2020 and 2026.
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Bibliography
2026
Selective Test-Time Compute Scaling for Click-Through Rate Prediction via Uncertainty-Triggered Feature Path Exploration.
CoRR, May, 2026
Self-Balancing Gradient Allocation for Heterogeneity-Aware Feature Generation in Click-Through Rate Prediction.
CoRR, May, 2026
CoRR, March, 2026
Deferred is Better: A Framework for Multi-Granularity Deferred Interaction of Heterogeneous Features.
CoRR, March, 2026
Bridging Sequential and Contextual Features with a Dual-View of Fine-grained Core-Behaviors and Global Interest-Distribution.
CoRR, March, 2026
Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction.
Proceedings of the ACM Web Conference 2026, 2026
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026
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
DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion.
CoRR, August, 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
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 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