Publications

Journal Papers

1. Zihao Ding, Jun Huang, “Toward Trustworthy Federated Unlearning for Mobile Autonomous Systems”, IEEE Network, 2026. [PDF]

2. Zihao Ding, Jun Huang, Yanxiao Zhao, Zhipeng Cai, “Combating Knowledge Diversity and Catastrophic Forgetting in UAV-Assisted Collaborative Vehicular Learning: A Game-Theoretic Approach”, ACM Transactions on Autonomous and Adaptive Systems, 2026. [PDF]

3. Beining Wu, Zihao Ding, Jun Huang, “A Review of Continual Learning in Edge AI”, IEEE Transactions on Network Science and Engineering, vol. 13, pp. 6571-6588, 2026.

4. Cong-Cong Xing, Zihao Ding, Jun Huang, “A Stochastic Geometry-Based Analysis of SWIPT-Assisted Underlaid Device-to-Device Energy Harvesting”, ACM Applied Computing Review, 2026.

Conference Papers

1. Zihao Ding, Beining Wu, Jun Huang, “SCALE: Sensitivity-Aware Federated Unlearning with Information Freshness Optimization for Mobile Edge Computing”, in ICDCS, 2026.

2. Ujjwal Pudasaini, Zihao Ding, Jun Huang, “Securing Smart Agriculture with Communication-Efficient Federated Unlearning”, in HPSR, 2026.

3. Zihao Ding, Jun Huang, Junjian Qi, “Learning to Defend: A Multi-Agent Reinforcement Learning Framework for Stackelberg Security Game in Mobile Edge Computing”, in ICNC, 2026. [PDF] [Code]

4. Jun Huang, Beining Wu, Zihao Ding, Leo Ostigaard, “Reinforcement Learning-Based Energy-Aware Coverage Path Planning for Precision Agriculture”, in RACS, 2025. [PDF]

5. Zihao Ding, Jun Huang, Qiang Duan, Cheng Zhang, Yanxiao Zhao, Shuyang Gu, “A Dual-Level Game-Theoretic Approach for Collaborative Learning in UAV-Assisted Heterogeneous Vehicle Networks”, in IPCCC, 2025. Best Paper Award (1/34/147)