| 2026 | AAAI | Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification. | Meiting Xue, Miaoqi Li, Yukun Shi, Yan Zeng, Jilin Zhang, Jing Ma |
| 2025 | IJCAI | FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity. | Pengfei Jiao, Zian Zhou, Meiting Xue, Huijun Tang, Zhidong Zhao, Huaming Wu |
| 2025 | MICCAI | FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities. | Yukun Shi, Meiting Xue, Yan Zeng, Jilin Zhang, Jian Wan, Ye Zhou |
| 2023 | HPCC | Personalized Federated Learning for Fast Convergence and Local Adaption: A Double Gradient Descent Method. | Zhidu Li, Songyang He, Xu Li, Meiting Xue |
| 2023 | ICPADS | An Auto-Parallel Method for Deep Learning Models Based on Genetic Algorithm. | Yan Zeng, Chengchuang Huang, Yijie Ni, Chunbao Zhou, Jilin Zhang, Jue Wang, Mingyao Zhou, Meiting Xue, Yunquan Zhang |
| 2022 | HPCC | Aware: Adaptive Distributed Training with Computation, Communication and Position Awareness for Deep Learning Model. | Yan Zeng, Guangzheng Yi, Yuyu Yin, Jiyang Wu, Meiting Xue, Jilin Zhang, Jian Wan, Yunquan Zhang |
| 2022 | HPCC | AreaHash: A Balanced and fully scalable consistency hashing algorithm. | Yan Zeng, Jinbo Zhang, Meiting Xue, Jian Wan, Jilin Zhang, Li Zhou |