Yangtao Zhou

Orcid: 0009-0008-8561-922X

According to our database1, Yangtao Zhou authored at least 18 papers between 2024 and 2026.

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Timeline

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Bibliography

2026
From Static Risk to Dynamic Trajectories: Toward World-Model-Inspired Clinical Prediction.
CoRR, May, 2026

AgentGR: Semantic-aware Agentic Group Decision-Making Simulator for Group Recommendation.
CoRR, May, 2026

Plang: Efficient prompt engineering language for blending natural language and control flow in large language models.
Expert Syst. Appl., 2026

Knowledge-guided course recommendation in MOOCs with cross-graph and forgetting-aware cross-attention.
Appl. Soft Comput., 2026

A Spectral Heterogeneous Diffusion Framework for Knowledge-aware Recommendation.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

SeeKRec: Toward Semantic-Empowered Knowledge-Aware Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2026

PreFact: Knowledge Propagation Regulating Network Toward Preferred Facts for Knowledge-Aware Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2026

2025
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation.
CoRR, May, 2025

CoCoDiff: Diversifying Skeleton Action Features via Coarse-Fine Text-Co-Guided Latent Diffusion.
CoRR, April, 2025

Spatiotemporal-view member preference contrastive representation learning for group recommendation.
Mach. Learn., March, 2025

Dual-tower model with semantic perception and timespan-coupled hypergraph for next-basket recommendation.
Neural Networks, 2025

DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Breaking Knowledge Boundaries: Cognitive Distillation-enhanced Cross-Behavior Course Recommendation Model.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Building Bridges, Not Walls: Fairness-Aware and Accurate Recommendation of Code Reviewers via LLm-Based Agents Collaboration.
Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

Dual Multi-Scale GCN with Deformable Temporal Kernel for Skeleton-based Action Recognition.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
DIDA: Dynamic Individual-to-integrateD Augmentation for Self-supervised Skeleton-Based Action Recognition.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Unity Is Strength: Collaborative LLM-Based Agents for Code Reviewer Recommendation.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024


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