Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs. - Abduallah A. Mohamed; Huancheng Chen; Zhangyang Wang; Christian G. Claudel (CoRR, 2021)

Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data. - Huancheng Chen; Haris Vikalo (CVPR Workshops, 2023)

The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation. - Huancheng Chen; Chianing Wang; Haris Vikalo (ICLR, 2023)

Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling. - Huancheng Chen; Haris Vikalo (CoRR, 2023)

Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices. - Huancheng Chen; Haris Vikalo (CVPR, 2024)

Recovering Labels from Local Updates in Federated Learning. - Huancheng Chen; Haris Vikalo (ICML, 2024)

Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning. - Huancheng Chen; Haris Vikalo (NeurIPS, 2024)

Boundary Attention Constrained Zero-Shot Layout-To-Image Generation. - Huancheng Chen; Jingtao Li; Weiming Zhuang; Haris Vikalo; Lingjuan Lyu (CoRR, 2024)

Task-Agnostic Federated Continual Learning via Replay-Free Gradient Projection. - Seohyeon Cha; Huancheng Chen; Haris Vikalo (CoRR, 2025)