Mitigate Gender Bias in Construction: Fusion of Deep Reinforcement Learning-Based Contract Theory and Blockchain. - Zijun Zhan; Yaxian Dong; Daniel Mawunyo Doe; Yuqing Hu; Shuai Li; Shaohua Cao; Wei Li; Zhu Han 001 (Blockchain, 2023)

User Allocation in NOMA-Based Edge Computing Environment. - Congcong Dai; Shaohua Cao; Zijun Zhan; Di Liu; Danyang Zheng (GLOBECOM, 2023)

Vision Language Model-Empowered Contract Theory for AIGC Task Allocation in Teleoperation. - Zijun Zhan; Yaxian Dong; Yuqing Hu; Shuai Li; Shaohua Cao; Zhu Han 001 (CoRR, 2024)

Delay-Aware and Energy-Efficient IoT Task Scheduling Algorithm With Double Blockchain Enabled in Cloud-Fog Collaborative Networks. - Shaohua Cao; Zijun Zhan; Congcong Dai; Shu Chen; Weishan Zhang; Zhu Han 001 (IEEE Internet Things J., 2024)

IceCache: Recommendation-Based Edge Caching for Life Cycle of Video. - Shaohua Cao; Wanli Xing; Quancheng Zheng; Huaqi Lv; Xuyang Yuan; Zijun Zhan; Kai Fang; Mohammad Kamrul Hasan; Weishan Zhang (WCNC, 2025)

A hybrid and efficient Federated Learning for privacy preservation in IoT devices. - Shaohua Cao; Shangru Liu; Yansheng Yang; Wenjie Du; Zijun Zhan; Danxin Wang; Weishan Zhang (Ad Hoc Networks, 2025)

Distributionally Robust Contract Theory for Edge AIGC Services in Teleoperation. - Zijun Zhan; Yaxian Dong; Daniel Mawunyo Doe; Yuqing Hu; Shuai Li; Shaohua Cao; Lei Fan 006; Zhu Han 001 (CoRR, 2025)

A Reliable Vertical Federated Learning Framework for Traffic State Estimation with Data Selection and Incentive Mechanisms. - Zijun Zhan; Yaxian Dong; Daniel Mawunyo Doe; Yuqing Hu; Shuai Li; Shaohua Cao; Zhu Han 001 (CoRR, 2025)

Vision Language Model-Empowered Contract Theory for AIGC Task Allocation in Teleoperation. - Zijun Zhan; Yaxian Dong; Daniel Mawunyo Doe; Yuqing Hu; Shuai Li; Shaohua Cao; Zhu Han 001 (IEEE Trans. Mob. Comput., 2025)