WeChat Toxic Article Detection: A Data-Driven Machine Learning Approach. - Yunpeng Weng; Muhong Wu; Xu Chen 004; Qiong Wu 009; Lingnan He; Liang Chen 009 (APSIPA, 2018)

User-Centric Location Prediction in Mobile Social Networks: A Factor Graph Learning Approach. - Qiong Wu 009; Xu Chen 004; Zhi Zhou 006; Liang Chen 009 (GLOBECOM, 2018)

Information Cascades over Diffusion-Restricted Social Network: A Data-Driven Analysis. - Bo Zhang; Qiong Wu 009; Xu Chen 004; Liang Chen 009 (INFOCOM Workshops, 2019)

Mobile Social Data Learning for User-Centric Location Prediction With Application in Mobile Edge Service Migration. - Qiong Wu 009; Xu Chen 004; Zhi Zhou 006; Liang Chen 009 (IEEE Internet Things J., 2019)

Online Orchestration of Cross-Edge Service Function Chaining for Cost-Efficient Edge Computing. - Zhi Zhou 006; Qiong Wu 009; Xu Chen 004 (IEEE J. Sel. Areas Commun., 2019)

DeepCP: Deep Learning Driven Cascade Prediction-Based Autonomous Content Placement in Closed Social Network. - Qiong Wu 009; Muhong Wu; Xu Chen 004; Zhi Zhou 006; Kaiwen He; Liang Chen 009 (IEEE J. Sel. Areas Commun., 2020)

Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework. - Qiong Wu 009; Kaiwen He; Xu Chen 004 (IEEE Open J. Comput. Soc., 2020)

HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning. - Siqi Luo; Xu Chen 004; Qiong Wu 009; Zhi Zhou 006; Shuai Yu 001 (IEEE Trans. Wirel. Commun., 2020)

Deep Reinforcement Learning With Spatio-Temporal Traffic Forecasting for Data-Driven Base Station Sleep Control. - Qiong Wu 009; Xu Chen 004; Zhi Zhou 006; Liang Chen 009; Junshan Zhang (IEEE/ACM Trans. Netw., 2021)

FedBranch: Heterogeneous Federated Learning via Multi-Branch Neural Network. - Jialuo Cui; Qiong Wu 009; Zhi Zhou 006; Xu Chen 004 (ICCC, 2022)

Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training. - Shengyuan Ye; Liekang Zeng; Qiong Wu 009; Ke Luo; Qingze Fang; Xu Chen 004 (ICPP, 2022)

Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction. - Kaiwen He; Xu Chen 004; Qiong Wu 009; Shuai Yu 001; Zhi Zhou 006 (IEEE Trans. Mob. Comput., 2022)

FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring. - Qiong Wu 009; Xu Chen 004; Zhi Zhou 006; Junshan Zhang (IEEE Trans. Mob. Comput., 2022)

Deep Transfer Learning Across Cities for Mobile Traffic Prediction. - Qiong Wu 009; Kaiwen He; Xu Chen 004; Shuai Yu 001; Junshan Zhang (IEEE/ACM Trans. Netw., 2022)

HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association. - Qiong Wu 009; Xu Chen 004; Tao Ouyang; Zhi Zhou 006; Xiaoxi Zhang 001; Shusen Yang; Junshan Zhang (IEEE Trans. Parallel Distributed Syst., 2023)

Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network. - Qingze Fang; Zhiwei Zhai; Shuai Yu 001; Qiong Wu 009; Xiaowen Gong; Xu Chen 004 (IEEE Trans. Wirel. Commun., 2023)

Communication-efficient Multi-service Mobile Traffic Prediction by Leveraging Cross-service Correlations. - Zhiying Feng; Qiong Wu 009; Xu Chen 004 (KDD, 2024)

Hydra: Hybrid-model federated learning for human activity recognition on heterogeneous devices. - Pu Wang; Tao Ouyang; Qiong Wu 009; Qianyi Huang; Jie Gong; Xu Chen 004 (J. Syst. Archit., 2024)

Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis. - Guangjing Huang; Qiong Wu 009; Peng Sun 003; Qian Ma 002; Xu Chen 004 (IEEE Trans. Parallel Distributed Syst., 2024)

FedDD: Toward Communication-Efficient Federated Learning With Differential Parameter Dropout. - Zhiying Feng; Xu Chen 004; Qiong Wu 009; Wen Wu 003; Xiaoxi Zhang 001; Qianyi Huang (IEEE Trans. Mob. Comput., 2024)

FedLEO: An Offloading-Assisted Decentralized Federated Learning Framework for Low Earth Orbit Satellite Networks. - Zhiwei Zhai; Qiong Wu 009; Shuai Yu 001; Rui Li 062; Fei Zhang 005; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content. - Guangjing Huang; Qiong Wu 009; Jingyi Li; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts. - Jin Yang; Qiong Wu 009; Zhiying Feng; Zhi Zhou 006; Deke Guo; Xu Chen 004 (CoRR, 2025)