Mang Ye

12 papers Wuhan University

• Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition
• Backdoor Cleaning without External Guidance in MLLM Fine-tuning
• DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning
• MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation
• MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
• MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis
• Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
• OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
• PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network
• Rethinking Fair Federated Learning from Parameter and Client View
• Towards Robust Parameter-Efficient Fine-Tuning for Federated Learning
• Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification