Load balance vs utility maximization in mobile crowd sensing: A distributed approach. - Juan Li 011; Yanmin Zhu 006; Jiadi Yu (GLOBECOM, 2014)

Distributed compressive data gathering in low duty cycled wireless sensor networks. - Yimao Wang; Yanmin Zhu 006; Ruobing Jiang; Juan Li 011 (IPCCC, 2014)

iCal: Intervention-free Calibration for Measuring Noise with Smartphones. - Yanmin Zhu 006; Juan Li 011; Lubin Liu; Chen-Khong Tham (ICPADS, 2015)

OutSense: Out-of-Band Sensing with ZigBee Sensors for Channel Adaptation in Wireless LANs. - Yanmin Zhu 006; Lubin Liu; Juan Li 011; Jiadi Yu; Chengnian Long (ICPADS, 2015)

Towards Redundancy-Aware Data Utility Maximization in Crowdsourced Sensing with Smartphones. - Juan Li 011; Yanmin Zhu 006; Jiadi Yu; Qian Zhang 001; Lionel M. Ni (ICPP, 2015)

Cross-platform Interference: Locating wifi devices with ZigBee sensor networks. - Yibin Lin; Juan Li 011; Yanmin Zhu 006 (INFOCOM Workshops, 2015)

Online Cost-Aware Service Requests Scheduling in Hybrid Clouds for Cloud Bursting. - Yanhua Cao; Li Lu 008; Jiadi Yu; Shiyou Qian; Yanmin Zhu 006; Minglu Li 001; Jian Cao 001; Zhong Wang 013; Juan Li 011; Guangtao Xue (WISE (1), 2017)

Crowdsourcing Sensing to Smartphones: A Randomized Auction Approach. - Juan Li 011; Yanmin Zhu 006; Yiqun Hua; Jiadi Yu (IEEE Trans. Mob. Comput., 2017)

Data Utility Maximization When Leveraging Crowdsensing in Machine Learning. - Juan Li 011; Jie Wu 001; Yanmin Zhu 006 (IWQoS, 2018)

Online Auction for IaaS Clouds: Towards Elastic User Demands and Weighted Heterogeneous VMs. - Juan Li 011; Yanmin Zhu 006; Jiadi Yu; Chengnian Long; Guangtao Xue; Shiyou Qian (IEEE Trans. Parallel Distributed Syst., 2018)

Selecting optimal mobile users for long-term environmental monitoring by crowdsourcing. - Juan Li 011; Jie Wu 001; Yanmin Zhu 006 (IWQoS, 2019)

Redundancy-Aware and Budget-Feasible Incentive Mechanism in Crowd Sensing. - Juan Li 011; Yanmin Zhu 006; Jiadi Yu (Comput. J., 2020)

Learning Auction in Coded Distributed Computing with Heterogeneous User Demands. - Jiawei Liang; Juan Li 011; Kun Zhu 001; Changyan Yi (ISCC, 2022)

Joint Task Offloading and VM Placement for Edge Computing with Time-Sequential IIoT Applications. - Mingzhu Qiang; Changyan Yi; Juan Li 011; Kun Zhu 001; Jun Cai 001 (ISCC, 2022)

Robust privacy-preserving federated learning framework for IoT devices. - Zhaoyang Han; Lu Zhou 002; Chunpeng Ge 001; Juan Li 011; Zhe Liu 001 (Int. J. Intell. Syst., 2022)

Coded Distributed Computing With Predictive Heterogeneous User Demands: A Learning Auction Approach. - Kun Zhu 001; Jiawei Liang; Juan Li 011; Changyan Yi (IEEE J. Sel. Areas Commun., 2022)

Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective. - Xuezhen Tu; Kun Zhu 001; Nguyen Cong Luong 001; Dusit Niyato; Yang Zhang 025; Juan Li 011 (IEEE Trans. Cogn. Commun. Netw., 2022)

Double Auction Mechanism Design in Federated Learning. - Zishang Chen; Juan Li 011 (ACM TUR-C, 2023)

Privacy-Preserving Federated Learning via Disentanglement. - Wenjie Zhou; Piji Li; Zhaoyang Han; Xiaozhen Lu; Juan Li 011; Zhaochun Ren; Zhe Liu 001 (CIKM, 2023)

Federated Learning for COVID-19 on Heterogeneous CXR Images with Noise. - Mengqing Ding; Juan Li 011; Changyan Yi; Jun Cai 001 (ICC, 2023)

Efficient and Secure Contribution Estimation in Vertical Federated Learning. - Juan Li 011; Rui Deng; Tianzi Zang; Mingqi Kong; Kun Zhu 001 (CIKM, 2024)

All Federated or Not: Optimizing Personal Model Performance in Cross-silo Federated Learning. - Juan Li 011; Yanmin Zhu 006; Jie Wu 001; Weifan Wu; Tianzi Zang; Liu Lu (ICPADS, 2024)

Federated Learning with Data-Free Distillation for Heterogeneity-Aware Autonomous Driving. - Junyao Liang; Juan Li 011; Ji Zhang; Tianzi Zang (IJCNN, 2024)

Learning Distinguishable Trajectory Representation with Contrastive Loss. - Tianxu Li; Kun Zhu 001; Juan Li 011; Yang Zhang 025 (NeurIPS, 2024)

Model Selection Based on DRL: Improving Personal Model Performance in Federated Learning. - Zishang Chen; Juan Li 011; Kun Zhu 001; Changyan Yi; Tianzi Zang (WCNC, 2024)

Efficient Knowledge Base Synchronization in Semantic Communication Network: A Federated Distillation Approach. - Xiaolan Lu; Kun Zhu 001; Juan Li 011; Yang Zhang 025 (WCNC, 2024)

Multi-Dimensional Clock Fingerprinting for Abnormal ECU Sourcing in CAN Bus. - Jiaxiang Zhang; Juan Li 011; Ruobing Jiang; Fengtian Li (WCNC, 2024)

A Three-Party Repeated Coalition Formation Game for PLS in Wireless Communications with IRSs. - Haipeng Zhou; Ruoyang Chen; Changyan Yi; Juan Li 011; Jun Cai 001 (WCNC, 2024)

Guarding Semantic Communication: A Proactive Security Mechanism Against Eavesdropping. - Zongyao Zhang; Kun Zhu 001; Yuanyuan Xu 001; Juan Li 011 (WASA (3), 2025)

A Hierarchical Game for Physical Layer Security Aware Cooperative Communications with Dynamic Interchangeable Relaying and Jamming. - Denghui Liu; Ruoyang Chen; Changyan Yi; Tong Zhang 018; Xiaolong Li 004; Juan Li 011; Ran Wang 004; Kun Zhu 001 (IEEE Trans. Veh. Technol., 2025)

Reinforcement Learning-Based Dual-Identity Double Auction in Personalized Federated Learning. - Juan Li 011; Zishang Chen; Tianzi Zang; Tong Liu 001; Jie Wu 001; Yanmin Zhu 006 (IEEE Trans. Mob. Comput., 2025)