Junyu Gao

7

Papers

34

Total Citations

Papers (7)

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning

Unity in Diversity: Video Editing via Gradient-Latent Purification

Scale Efficient Training for Large Datasets

Evidential Knowledge Distillation

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments

Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting