
张骥先
- 自强不息,厚德载物,格物致知,知行合一
- 联系方式:denonji[AT]163.com
- 地址:云南大学呈贡校区信息学院1422

2025
[1] J. Zhang, P. Chen, X. Yang, H. Wu and W. Li, "An Optimal Reverse Affine Maximizer Auction Mechanism for Task Allocation in Mobile Crowdsensing," in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2025.3549504. Early Access. SCI IF: 7.9,(CCF A类期刊,中科院JCR 1区)
[2] P. Chen, J. Zhang, W. Li and H. Wu, "Revenue-Optimal Reverse Auction for Task Allocation in Mobile Crowdsensing Through Transformer Attention," in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2025.3547986.SCI IF: 4.5,(中科院JCR 2区)
2024
[1] Zhang J, Liao X, Wu H, et al. A two-stage budget-feasible mechanism for mobile crowdsensing based on maximum user revenue routing[J]. Future Generation Computer Systems, 2024, 161: 201-213.doi: https://doi.org/10.1016/j.future.2024.06.059. SCI IF: 7.5,(中科院JCR 1区)
[2] J. Zhang, Z. Wang, H. Wu and W. Li, "Ordered Submodularity-Based Value Maximization of UAV Data Collection in Earthquake Areas," in IEEE Transactions on Network Science and Engineering, vol. 11, no. 5, pp. 4886-4897, Sept.-Oct. 2024, doi: 10.1109/TNSE.2024.3400288.. SCI IF: 6.7,(中科院JCR 1区)
[3] J. Zhang, M. Zong, A. V. Vasilakos and W. Li, "UAV Base Station Network Transmission-Based Reverse Auction Mechanism for Digital Twin Utility Maximization," in IEEE Transactions on Network and Service Management, vol. 21, no. 1, pp. 324-340, Feb. 2024, doi: 10.1109/TNSM.2023.3301522,SCI IF: 5.3,(中科院JCR 2区)
[4] J. Zhang, Y. Zhang, H. Wu and W. Li, "An Ordered Submodularity-Based Budget-Feasible Mechanism for Opportunistic Mobile Crowdsensing Task Allocation and Pricing," in IEEE Transactions on Mobile Computing, vol. 23, no. 2, pp. 1278-1294, Feb. 2024, doi: 10.1109/TMC.2022.3232513. SCI IF: 7.9,(CCF A类期刊,中科院JCR 1区)
[5] Zhang J, Wang Z, Vasilakos A V, et al. A resource competition-based truthful mechanism for IoV edge computing resource allocation with a lowest revenue limit[J]. Journal of Cloud Computing, 2024, 13(1): 11. DOI:10.1186/s13677-023-00572-x SCI IF: 4.4,(中科院JCR 3区)
[6] 徐嘉, 张骥先*, 王喆民, 刘林杰. 基于NUMA云计算架构的多资源分配可信拍卖机制[J]. 计算机工程与科学, 2024, 46(05): 761-775. (CCF T2)
[7] Zhang J, Sun H, Wang Z, et al. A Novel Clinching Auction Mechanism for Edge Computing Resource Allocation With Budget Limits[J]. Transactions on Emerging Telecommunications Technologies, 2024, 35(11): e70005. https://doi.org/10.1002/ett.70005, SCI IF: 2.6(JCR 3区)
2023
[1] Liu, L.; Zhang, J*.; Wang, Z.; Xu, J. A Truthful Reverse Auction Mechanism for Federated Learning Utility Maximization Resource Allocation in Edge–Cloud Collaboration. Mathematics 2023, 11, 4968. https://doi.org/10.3390/math11244968, (中科院JCR 3区)
[2] Zhang J*, Sun H, Li W. Lowest revenue limit-based truthful auction mechanism for cloud resource allocation[J]. The Journal of Supercomputing, 2024, 80(8): 10637-10666., https://link.springer.com/article/10.1007/s11227-023-05839-3,SCI IF: 3.3,(中科院JCR 3区)
2022
[1] Jixian Zhang, Wenlu Lou, Hao Sun, Qian Su, Weidong Li, Truthful auction mechanisms for resource allocation in the Internet of Vehicles with public blockchain networks, Future Generation Computer Systems, Volume 132, 2022, 11-24, https://doi.org/10.1016/j.future.2022.02.002, SCI IF: 7.5,(中科院JCR 1区)
[2] Zhang Y, Zhang J*. Design and optimization of cluster-based DSRC and C-V2X hybrid routing[J]. Applied Sciences, 2022, 12(13): 6782. , https://doi.org/10.3390/app12136782, SCI IF: 2.838,(中科院JCR 3区)
[3] Wei Y, Zhang J*. A Vehicular Edge Computing-Based Architecture and Task Scheduling Scheme for Cooperative Perception in Autonomous Driving. Mathematics. 2022; 10(18):3328. https://doi.org/10.3390/math10183328 SCI IF: 2.592,(中科院JCR 3区)
[4] Zhang J*, Zong M, Li W. A Truthful Mechanism for Multibase Station Resource Allocation in Metaverse Digital Twin Framework. Processes. 2022; 10(12):2601. https://doi.org/10.3390/pr10122601, SCI IF: 3.352,(中科院JCR 3区)
[5] Zhang Z, Zhang J*, Nie P, et al. A Truthful Revenue-Maximizing Resource Allocation Auction Mechanism in the Internet of Vehicles Cloud-Edge Environment[C]//International Conference on Internet of Things, Communication and Intelligent Technology. Singapore: Springer Nature Singapore, 2022: 47-58.
2021
[1] Zhang J, Xie N, Zhang X, et al. Strategy-proof mechanism for online time-varying resource allocation with restart[J]. Journal of Grid Computing, 2021, 19: 1-20. https://doi.org/10.1007/s10723-021-09563-1,SCI IF:4.674 (中科院JCR 2区).
[2] Zhang, J., Xie, N., Yang, X. et al. Strategy-proof mechanism for time-varying batch virtual machine allocation in clouds. Cluster Computing, 24, 3709–3724 (2021). https://doi.org/10.1007/s10586-021-03360-x SCI IF: 2.303(中科院JCR 3区)
[3] Zhang, J., Chi, L., Xie, N. et al. Strategy-proof mechanism for online resource allocation in cloud and edge collaboration. Computing,104, 383–412, (2021). https://doi.org/10.1007/s00607-021-00962-6 SCI IF: 2.42(中科院JCR 3区)
[4] Y. Yan, J. Zhang*, Y. Wei, W. Lou and N. Xie, "Double Action Mechanism for Vehicle Edge Computing Resource Allocation and Pricing," 2021 4th International Conference on Information Communication and Signal Processing (ICICSP), 2021, pp. 547-552, doi: 10.1109/ICICSP54369.2021.9611965.
2020
[1] J. Zhang, X. Yang, N. Xie, X. Zhang, V. Athanasios, W. Li, An online auction mechanism for time-varying multidimensional resource allocation in clouds, Future Generation Computer Systems,Volume 111 ,2020, 27–38, https://doi.org/10.1016/j.future.2020.04.029, SCI IF: 7.5(中科院JCR 1区)
[2] Xie Q, Yang X, Chi L, Zhang X, Zhang J*. Reinforcement Learning-Based Resource Allocation in Edge Computing. In: Sun X., Wang J., Bertino E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science, vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_12
2019
[1] Jixian Z, Jing Z, Qianyu X, et al. Truthful Auction Mechanism for Vehicle Allocation and Pricing in Car-hailing services[C]//2019 International Conference on Industrial Engineering and Systems Management (IESM). IEEE, 2019: 1-6. doi: 10.1109/IESM45758.2019.8948189.
[2] 张骥先, 谢宁, 李伟东,等. 基于监督学习的可信云计算资源拍卖机制研究 [J]. 电子与信息学报, 2019, 41(5): 1243-1250.(CCF T2)
2018
[1] JixianZhang,NingXie,XuejieZhang,WeidongLi,An online auction mechanism for cloud computing resource allocation and pricing based on user evaluation and cost,Future Generation Computer Systems,Volume 89, 2018, 286-299 ,https://doi.org/10.1016/j.future.2018.06.034, SCI IF: 7.5(中科院JCR 1区)
[2] Jixian Zhang, Ning Xie , Xuejie Zhang , Kun Yue , Weidong Li,* Deepesh Kumar, Machine Learning Based Resource Allocation of Cloud Computing in Auction, Computers Materials & Continua(CMC) 2018, 56(1):123-135, doi: 10.3970/cmc.2018.03728 , SCI IF:3.860.(JCR Q1)
[3] 张骥先, 谢宁, 李伟东,等. 一种支持云计算虚拟资源分配的可信多需求拍卖机制[J]. 电子与信息学报, 2018, 40(1):25-34. doi: 10.11999/JEIT170353. (CCF T2)
[4] Zhang J, Xie N, Zhang X, et al. Multi-choice Virtual Machine Allocation with Time Windows in Cloud Computing[C]//International Conference on Green, Pervasive, and Cloud Computing. Springer, Cham, 2018: 182-195. , DOI:10.1007/978-3-030-15093-8_13
2017(开启科学之旅...)
1. 发明专利:移动互联网应用模块的部署方法, (ZL201410218552.X),第一发明人,授权
2. 发明专利:一种基于移动设备的运动轨迹对比方法(ZL201510171908.3),第一发明人,授权
3. 发明专利:一种富媒体场景流的存储方法 (ZL201010276374.8),第一发明人,授权
4. 发明专利:一种缩短富媒体场景呈现等待时间的方法 (ZL200810044521.1),第一发明人,授权
5. 发明专利:基于拍卖机制的网约车预约服务车辆资源分配和定价方法,(ZL201810360967 .9),第一发明人,授权
6. 发明专利:基于拍卖机制的网约车实时服务车辆资源分配和定价方法,(ZL201810361626.3),第一发明人,授权
7. 发明专利:基于拍卖机制的网约车辆资源分配和定价方法,(ZL201711207290.7),第一发明人,授权
8. 发明专利:基于双向拍卖机制的车辆边缘计算中资源分配方法,(ZL202110739274.2),第一发明人,授权
9. 发明专利:基于区块链的车联网资源分配拍卖方法 (ZL2021107793409),第一发明人,授权
10. 发明专利:基于边缘计算的车联网车辆集群任务卸载方法, (ZL2021107576267),第一发明人,授权
11. 发明专利:基于拍卖机制的边缘计算服务器资源分配方法(ZL 2019 1 1190505.8), 第一发明人,授权
12. 发明专利:基于嵌钉拍卖的边缘计算多服务器资源分配方法(ZL 2022 1 0277564.4),第一发明人,授权
13. 发明专利:基于无人机网络流模型的数字孪生资源分配方法(ZL 2023 1 0172076.1)第一发明人,授权
国家自然科学基金地区项目,云边协同环境中基于时变的多维资源分配及价格机制研究(62062065),主持
云南省基础研究计划重点项目,针对云南地貌特征的移动群智感知服务关键问题研究(202501AS070076),主持
云南省基础应用研究计划,基于贝叶斯网络的移动云计算应用部署及迁移策略研究(2013FB010),主持
云南省基础应用研究计划,基于监督学习的云计算资源双向拍卖机制研究(2019FB142) ,主持
云南省教育厅科学研究基金,基于公平双向拍卖机制的云计算资源分配问题研究(2017ZZX228),主持
国家自然科学基金:基于概率图模型的海量评分数据分析与用户行为建模(61472345),参与
国家自然科学基金:云计算中虚拟资源性能度量的指标和方法研究(61402398),参与
国家自然科学基金:移动云计算中支持终端移动性的计算卸载关键技术研究(61562092),参与
1. 2019年度云南省万人计划,青年拔尖人才
2 . 2019年云南大学中青年骨干教师
3. 2020年教师演讲比赛优秀奖
4. 2021年互联网+大学生创新创业大赛云南省银奖指导教师
5. 2016年指导国际大学生数学建模竞赛
6. 2013年指导云南省大学生计算机作品赛
7. 2013年青年教师演讲比赛优秀奖
8. 2012年Google Android示范课程认证
9. 2012年指导第37届ACM全国大学生程序设计竞赛教练荣誉奖
10. 2011年度Google人才奖励基金
11. 2011年指导第36届ACM全国大学生程序设计竞赛教练荣誉奖
12. 2024年全国研究生数学建模竞赛国家二等奖(指导教师)
要求:
1. 编程熟练(任意一种语言)
2. 喜欢数学
3. 比我勤奋(我自认为并不算勤奋)
研究方向:运用机制设计理论,组合优化理论,机器学习解决云计算,边缘计算等领域的问题
本科、硕士、博士就读于电子科技大学, 2010年于电子科技大学计算机学院获得博士学位,2011年到云南大学任教至今。主要从事云计算、边缘计算、算力网、区块链、组合优化、机制设计等领域的研究。入选云南省万人计划青年拔尖人才计划,云南大学骨干教师培养计划。主持及参与各类科研项目10余项,其中主持国家自然科学基金项目1项、云南省科技厅应用基础研究计划项目2项、云南省教育厅科学研究基金1项。担任CCF分布式计算与系统专委会执行委员。在国际学术顶级期刊和国际学术会议上发表学术论文50多篇,例如IEEE Transactions on Mobile Computing, IEEE Transactions on Network and Service Management,IEEE Transactions on Network Science and Engineering,IEEE Transactions on Computational Social System,Future Generation Computer Systems, J Grid Computing,Cluster Computing等,同时也担任上述期刊的审稿人,以第一发明人授权获得10余项国家发明专利。
年逾四十,方悟科学之妙。虽时不早,心尚年轻。愿以余生,叩问自然,追寻真理。