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吴亚兰

发布时间:2021-07-24点击数:

12D16

     

     副教授 硕士生导师

     联系方式:asyalanwu@outlook.com

     通讯地址:广东工业大学大学城校区理学馆602-2

     所属团队:智能芯片及微体系结构设计研究团队


简介:

吴亚兰,博士,南洋理工大学访问学者,广东工业大学青年百人A类特聘副教授,硕士生导师。主要从事微体系结构设计、VLSI阵列容错与重构算法设计、移动智能计算等研究。

研究方向:

1. VLSI阵列容错与重构算法设计

2. 微体系结构级任务调度等算法设计

3. 移动智能计算、车联网

教育经历:

2016.9-2021.6,广东工业大学,计算机应用工程,获博士学位;

2019.9-2021.6,中国科学院计算技术研究所,智能计算机研究中心,客座学生

2017.7-2017.9,新加坡南洋理工大学,计算机科学与工程学院,研究助理

2012.9-2016.6,广东工业大学,网络工程,获学士学位。

工作经历:

2023.7-至今,广东工业大学,集成电路学院,副教授

2022.2-2023.2,新加坡南洋理工大学,计算机科学与工程学院,访问学者

2021.7-2023.7,广东工业大学,集成电路学院,青百博士后

科研项目:

1. 面向车联网的多任务推断服务质量保障研究,国家自然学科基金青年基金,2023.01-2025.12,30万,主持。

2. 分布式边缘训练动态计算环境下服务质量保障研究,国家自然科学基金,2020.01-2024.12,56万,参与。

科研成果:

1.代表性学术论文:

[1] Yalan Wu, Jigang Wu, Mianyang Yao, Boshegn Liu, Long Chen, and Siew Kei Lam. Two-Level Scheduling Algorithm for Deep Neural Network Inference in Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 2023, 1-20, doi: 10.1109/TITS.2023.3266795.

[2] Yalan Wu, Jigang Wu, Long Chen, Jiaquan Yan and Yinhe Han. Load Balance Guaranteed Vehicle-to-Vehicle Computation Offloading for Min-Max Fairness in VANETs. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(8):11994-12013.

[3] Yalan Wu, Jigang Wu, Long Chen, Gangqiang Zhou and Jiaquan Yan. Fog Computing Model and Efficient Algorithms for Directional Vehicle Mobility in Vehicular Network. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(5): 2599-2614.(

[4] Yalan Wu, Jigang Wu, Peng Liu, Yinhe Han and Thambipillai Srikanthan. Reconfiguration Algorithms for Synchronous Communication on Switch Based Degradable Arrays. Parallel Computing (Elsevier Journal), 111: 1-10, DOI: 10.1016/j.parco.2022. 102901.

[5] Yalan Wu, Jiaquan Yan, Long Chen, Jigang Wu and Yidong Li. Efficient Parameter Server Placement for Distributed Deep Learning in Edge Computing, The Computer Journal (Oxford Journal), 2021, bxab188: 1-14, DOI: 10.1093/comjnl/bxab188.

[6] Yalan Wu, Jigang Wu, Long Chen, Jiaquan Yan and Yuchong Luo. Efficient Task Scheduling for Servers with Dynamic States in Vehicular Edge Computing, Computer Communications (Elsevier Journal), 2020, 150: 245-253.

[7] Jigang Wu, Yalan Wu, Guiyuan Jiang and Siew Kei Lam. Algorithms for Reconfiguring NoC-based Fault Tolerant Multiprocessor Arrays. Journal of Circuits, Systems, and Computers (Wiley Journal), 2019, 28(7): 1-24.

[8] Chengpeng Xia, Yalan Wu, Long Chen, Yawen Chen, Jigang Wu. Three-Stage Auction Scheme for Computation Offloading on Mobile Blockchain with Edge Computing. Concurrency and Computation: Practice and Experience (Wiley Journal), 2022, 34(25): 1-19.

[9] Long Chen, Mianyang Yao, Yalan Wu, Jigang Wu. EECDN: Energy-Efficient Cooperative DNN Edge Inference in Wireless Sensor Networks. ACM Transactions on Internet Technology, 2022, 22(4): 1-30.

[10] Yifei Sun, Jigang Wu, Yalan Wu, Long Chen, Weijun Sun, Yidong Li. Data Collection Algorithm for Model Training in Internet of Vehicles. IEEE Internet of Things Journal, 2023, DOI: 10.1109/JIOT.2023.3299308.

[11] Long Chen, Shaojie Zheng, Yalan Wu, Hong-Ning Dai, Jigang Wu. Resource and Fairness-Aware Digital Twin Service Caching and Request Routing with Edge Collaboration. IEEE Wireless Communications Letters, 2023, DOI: 10.1109/JIOT.2023.3299308.

[12] Jiale Huang, Jigang Wu, Long Chen, Yalan Wu, Yidong Li. Coalitional Double Auction For Ridesharing With Desired Benefit And QoE Constraints. The Computer Journal (Oxford Journal), 2023, accepted.

[13] Mianyang Yao, Long Chen, Yalan Wu and Jigang Wu, Loading Cost-Aware Model Caching and Request Routing in Edge-enabled Wireless Sensor Networks. The Computer Journal (Oxford Journal), 2022, bxac088: 1-17.

[14] Xin Long, Jigang Wu, Yalan Wu and Long Chen. Context Switch Cost Aware Joint Task Merging and Scheduling for Deep Learning Applications. Parallel Computing (Elsevier Journal), 2021, 102(2021)102753: 1-13.

[15] Jiaxin Wu, Jigang Wu, Long Chen and Yalan Wu. Secrecy Rate and Residual Energy Trade-off in Energy Harvesting Cognitive Radio Networks. Physical Communication (Elsevier Journal), 2019, 37:1-12.

[16] Zhaohong Chen, Xin Long, Yalan Wu, Long Chen, Jigang Wu and Shuangyin Liu. Intra-cluster Aggregation Aware Routing for Distributed Training in WSNs. Concurrency and Computation: Practice and Experience (Wiley Journal), 2023, 35(17) e6795: 1-13.

[17] Jiale Huang, Lulu Zheng, Yalan Wu, Peng Liu and Jigang Wu. Fast Algorithms for Restoring Survivable Spanning Connection. Computers & Electrical Engineering (Elsevier Journal), 2022, 97(2022)107643: 1-15.

[18] Yalan Wu, Jigang Wu, Gangqiang Zhou and Long Chen. A Direction-based Vehicular Network Model in Vehicular Fog Computing. IEEE Ubiquitous Intelligence & Computing, pp. 585-589, 2018.

[19] Yalan Wu, Jigang Wu, Yuqing Miu and Thambipillai Srikanthan. Fault-Driven Reconfiguration Algorithm for Processor Arrays. IEEE International Symposium on Parallel and Distributed Processing with Applications, pp. 519-524, 2017.(

[20] Jiaquan Yan, Yalan Wu, Long Chen and Jigang Wu. Parameter Servers Placement for Distributed Deep Learning in Edge Computing. IEEE International Symposium on Parallel and Distributed Processing with Applications, pp. 398-404, 2021.

[21] Jinyao Huang, Yalan Wu, Xinxuan Huang, Long Chen, Jigang Wu. Efficient Algorithms for Caregiver Routing and Scheduling in Home Health Care Services. IEEE Ubiquitous Intelligence & Computing, 2021: 139-145.

[22] Jiaquan Yan, Jigang Wu, Yalan Wu and Long Chen. Task Offloading Algorithms for Novel Load Balancing in Homogeneous Fog Network. IEEE International Conference on Computer Supported Cooperative Work in Design, pp. 79-84, 2021.

[23] Yuchong Luo, Jigang Wu, Yalan Wu and Long Chen. Task Scheduling in Mobile Edge Computing with Stochastic Requests and M/M/1 Servers. IEEE International Conference on High Performance Computing and Communications, pp. 2379-2382, 2019.

[24] Xinxiang Zhang, Jigang Wu, Wenjun Shi, Yalan Wu and Yuqing Miu. Low-Latency Cooperative Computation Offloading for Mobile Edge Computing. IEEE International Symposium on Parallel and Distributed Processing with Applications, pp. 155-159, 2019.

[25] Lulu Zheng, Yalan Wu, Jiale Huang, Peng Liu and Jigang Wu. Restoring Survivable Spanning Tree: An Alternative Algorithm. International Symposium on Parallel Architectures, Algorithms and Programming, pp. 1-11, 2020.

[26] Xin Long, Jigang Wu, Yalan Wu and Long Chen. Task Merging and Scheduling for Parallel Deep Learning Applications in Mobile Edge Computing. International Conference on Parallel and Distributed Computing, Applications and Technologies, pp. 58-62, 2019.

[27] Zhaohong Chen, Xin Long, Yalan Wu, Long Chen, Jigang Wu and Shuangyin Liu. Data Aggregation Aware Routing for Distributed Training. International Conference on Parallel and Distributed Computing, Applications and Technologies, pp. 241-250, 2020.

[28] 连铎, 刘博生, 吴亚兰, 武继刚. KNMC: 基于近内存计算的k-NN和k-means加速器设计[J]. 小型微型计算机系统, 2022年5月10日在线出版.

[29] 吴亚兰, 武继刚, 姜文超, 刘竹松.面向通讯同步的多处理器阵列重构[J]. 计算机科学, 2017, 44(7):47-56.

[30] 吴亚兰, 武继刚, 姜文超, 王勇.故障点驱动的高效快速VLSI阵列重构算法[J]. 解放军理工大学学报, 2017(已在线出版)

2.知识产权:

[1] 吴亚兰, 武继刚等. 面向通讯同步的多处理器阵列重构方法. 2019. (专利号:ZL 2016 1 0497074.X)

[2] 吴亚兰, 武继刚. 故障点驱动的VLSI阵列重构方法. 2020. (专利号:ZL 2017 1 0439764.4)

3.科研获奖:

1.2020年广东省计算机学会优秀论文奖

2.2022年广东省计算机学会优秀论文奖

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