π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing Date Monday, December 01, 2025 - 12:00 AM Description Nature Communications
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses Date Tuesday, April 01, 2025 - 12:00 AM Description Computers and Security
PSscheduler: A parameter synchronization scheduling algorithm for distributed machine learning in reconfigurable optical networks Date Saturday, February 01, 2025 - 12:00 AM Description Neurocomputing
Interaction-knowledge semantic alignment for recommendation Date Wednesday, January 01, 2025 - 12:00 AM Description Neural Networks
Edge-end Cooperative Network Resource Allocation with Time Synchronization Awareness for Federated Learning Based Distributed Energy Regulation Date Wednesday, January 01, 2025 - 12:00 AM Description IEEE Transactions on Smart Grid
SITOff: Enabling Size-Insensitive Task Offloading in D2D-Assisted Mobile Edge Computing Date Wednesday, January 01, 2025 - 12:00 AM Description IEEE Transactions on Mobile Computing
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation Date Wednesday, January 01, 2025 - 12:00 AM Description Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Virtual Network Embedding: Literature Assessment, Recent Advancements, Opportunities, and Challenges Date Wednesday, January 01, 2025 - 12:00 AM Description IEEE Communications Surveys and Tutorials
Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models Date Wednesday, January 01, 2025 - 12:00 AM Description Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Energy Efficient Optimal User Association and Node Placement Mechanism for Cooperative UAV Communications Date Wednesday, January 01, 2025 - 12:00 AM Description IEEE Transactions on Vehicular Technology