5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.NI2025
RepCaM++: Exploring Transparent Visual Prompt With Inference-Time Re-Parameterization for Neural Video Delivery
Rongyu Zhang, Xize Duan, Jiaming Liu +5
Recently, content-aware methods have been employed to reduce bandwidth and enhance the quality of Internet video delivery. These methods involve training distinct content-aware sup…
cs.AI2024★ 1 cited
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data
Rongyu Zhang, Yun Chen, Chenrui Wu +2
Federated learning (FL) offers a privacy-centric distributed learning framework, enabling model training on individual clients and central aggregation without necessitating data ex…
cs.LG2023★ 5 cited
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation
Rongyu Zhang, Xiaowei Chi, Guiliang Liu +3
Multimodal learning has seen great success mining data features from multiple modalities with remarkable model performance improvement. Meanwhile, federated learning (FL) addresses…