姓名：黄家乐
研究方向：边缘智能、边缘计算
联系方式：atjlhuang@outlook.com
个人简介：
工学博士，广东工业大学青百博士后。主要从事边缘智能、边缘计算、共乘服务等领域的研究工作。
教育背景：
2021.09-2025.12 广东工业大学 工学博士
2018.09-2021.06 广东工业大学 工学硕士
2014.09-2018.06 广东工业大学 工学学士
发表论文：
[1] J. Huang, Y. Wu, J. Wu, JX. Wu, and S.-K. Lam. Online Max-Min Fairness Guarantee for Request Completion Rates in Collaborative Edge Inference. IEEE Transactions on Mobile Computing, 2026, 25(10): 17714-17731. (CCF A 类, SCI 1区)
[2] J. Huang, J. Wu, Y. Wu, and JX. Wu. Joint Request Offloading and Resource Allocation for Long-Term Utility Optimization in Collaborative Edge Inference with Time-Coupled Resources. IEEE Transactions on Network Science and Engineering, 2025, 12(4): 2622-2639. (SCI 2区)
[3] J. Huang, J. Wu, L. Chen, Y. Wu, and Y. Li. Coalitional Double Auction for Ridesharing with Desired Benefit and QoE Constraints. The Computer Journal, 2024, 67(5): 1674-1686. (CCF B类)
[4] Y. Wu, J. Huang, H. Cao, J. Wu, L. Guo, and S.-K. Lam. Maximizing Edge Throughput in Collaborative Multi-Task Inference with Shareable Model Structures. IEEE Transactions on Services Computing, 2026, 19(2): 1379-1391. (CCF A类, SCI 2区)
[5] Y. Wu, Z. Fang, J. Huang, L. Guo, and J. Wu. Vehicle Coalition Based Incentive Algorithm for Model Deployment and Task Offloading. IEEE Transactions on Network and Service Management, 2026, 23: 3351-3364. (SCI 2区)
[6] L. Chen, S. Zheng, J. Wu, H.-D. Dai, D. Niyato, J. Wan, and J. Huang. HARBOR: Harnessing Bandwidth, Computation, and Batch for Fair QoE Having Collaborative Edge-AI Services in Industrial CPS. IEEE Journal on Selected Areas in Communications, 2025, 43(10): 3440-3455. (CCF A类, SCI 1区)
[7] L. Chen, H.-D. Dai, X. Yuan, J. Huang, Y. Wu, and J. Wu. D-SPAC: Double-Sided Preference-Aware Carpooling of Private Cars for Maximizing Passenger Utility. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(8): 9810-9827. (CCF B类, SCI 2区)
