Quá trình nghiên cứuPublications
Tổng hợp các bài báo và công trình nghiên cứu, nhóm theo năm. Hai trục chính: Lượng tử (Quantum) và Trí tuệ nhân tạo (AI).Publications and research papers grouped by year. Two primary axes: Quantum and Artificial Intelligence (AI).
2027
Saliency-Guided Training for Risky AI-Agent Skill Triage: An XAI-Informed Regularization Study. · · Hội nghịConference
2026
Balancing Performance and Interpretability: A Quantitative CAM Benchmark Across Model Scales for Durian Leaf Disease Classification. · · Hội nghịConference
Adaptive Residual-Graph Steiner-Tree Routing for Contended GHZ Multicast in Quantum Networks. · · Hội nghịConference
Predictive Multi-Tree Allocation for Throughput-Oriented Multi-Request GHZ Distribution. · · Hội nghịConference
Lightweight Pre-Installation Security Triage for Agent Skills with a QLoRA-Fine-Tuned Causal Language Model. · · Hội nghịConference
Edge-Oriented Benchmarking of Durian Leaf Disease Classifiers: Accuracy, Latency, and Compression Trade-offs. · · Hội nghịConference
Preserving User Privacy in Retrieval Augmented Generation: A Novel Approach Using Local Placeholder Tagging. · · DOIDOI · Bài báoPaper