Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage. - Yeting Guo; Fang Liu 002; Zhiping Cai; Nong Xiao 001; Ziming Zhao 002 (Sensors, 2018)

Edge-enabled Disaster Rescue: A Case Study of Searching for Missing People. - Fang Liu 002; Yeting Guo; Zhiping Cai; Nong Xiao 001; Ziming Zhao 002 (ACM Trans. Intell. Syst. Technol., 2019)

FEEL: A Federated Edge Learning System for Efficient and Privacy-Preserving Mobile Healthcare. - Yeting Guo; Fang Liu 002; Zhiping Cai; Li Chen 019; Nong Xiao 001 (ICPP, 2020)

FedCav: Contribution-aware Model Aggregation on Distributed Heterogeneous Data in Federated Learning. - Hui Zeng; Tongqing Zhou; Yeting Guo; Zhiping Cai; Fang Liu 002 (ICPP, 2021)

PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning. - Yeting Guo; Fang Liu 002; Zhiping Cai; Hui Zeng; Li Chen 019; Tongqing Zhou; Nong Xiao 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

MetaEM: Meta Embedding Mapping for Federated Cross-domain Recommendation to Cold-Start Users. - Dongyi Zheng; Yeting Guo; Fang Liu 002; Nong Xiao 001; Lu Gao (CollaborateCom (1), 2022)

PARA: Performability-aware resource allocation on the edges for cloud-native services. - Yeting Guo; Fang Liu 002; Nong Xiao 001; Zhaogeng Li; Zhiping Cai; Guoming Tang; Ning Liu 015 (Int. J. Intell. Syst., 2022)

Efficient Personalized Federated Learning on Selective Model Training. - Yeting Guo; Fang Liu 002; Tongqing Zhou; Zhiping Cai; Nong Xiao 001 (ICASSP, 2023)

Seeing is believing: Towards interactive visual exploration of data privacy in federated learning. - Yeting Guo; Fang Liu 002; Tongqing Zhou; Zhiping Cai; Nong Xiao 001 (Inf. Process. Manag., 2023)

Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning. - Yeting Guo; Fang Liu 002; Tongqing Zhou; Zhiping Cai; Nong Xiao 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Leveraging heuristic client selection for enhanced secure federated submodel learning. - Panyu Liu; Tongqing Zhou; Zhiping Cai; Fang Liu 002; Yeting Guo (Inf. Process. Manag., 2023)

Image captioning for cultural artworks: a case study on ceramics. - Baoying Zheng; Fang Liu 002; Mohan Zhang; Tongqing Zhou; Shenglan Cui; Yunfan Ye; Yeting Guo (Multim. Syst., 2023)

FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions. - Changjuan Ran; Yeting Guo; Fang Liu 002; Shenglan Cui; Yunfan Ye (ICME, 2024)

Towards value-sensitive and poisoning-proof model aggregation for federated learning on heterogeneous data. - Hui Zeng; Tongqing Zhou; Yeting Guo; Zhiping Cai; Fang Liu 002 (J. Parallel Distributed Comput., 2025)