主持科研项目

• 国家自然科学基金面上项目，62172342，基于深度强化学习的车联网端边云分布式任务处理机制研究，2022/01-2025/12

• 河北省优秀青年科学基金，F2022105003，车联网边缘缓存和计算模型及自适应部署关键技术研究，2022/01-2024/12

• 四川省科技计划面上项目，2020YJ0272，基于异构网络融合的移动计算环境数据分发关键技术研究，2020/01-2022/12

• 中国博士后科学基金特别资助，2020T130547，基于边缘智能的车联网实时数据传输和处理机制研究，2020/07-2021/07

• 中国博士后科学基金面上一等资助，2019M660245，基于边缘计算架构的车联网高效数据服务策略研究，2020/01-2021/05

• 国家自然科学基金青年项目，61802319，面向车载网络的实时数据调度与动态资源优化关键技术研究，2019/01-2021/12

• 中央高校基本科研业务费新型交叉学科培育基金-前沿科技培育项目，2682022JX007，2022/10-2023/10

• 中央高校基本科研业务费科技创新项目，XJ2021KJZK001，2021/06-2023/06

• 中央高校基本科研业务费科技创新项目，2682018CX23，2018/01-2020/12

参与科研项目

• 科技部“云计算与大数据处理”专项重点研发计划,2017YFB1002000,智慧城市领域知识建模与模型自增长自演化技术课题,2017/09-2020/08

• 国家自然科学基金青年项目，61602067，面向时空随机请求的群智物流关键技术研究，2017/01-2019/12

• 国家自然科学基金青年项目，61603064，基于学习迁移和模因计算的智能交通路径规划研究，2017/01-2019/12

• 国家自然科学基金面上项目，61572088，面向车联网多信道I2V/V2V混合通信与时态信息服务研究，2016/01-2019/12

Journal(*Corresponding Author)

1. Penglin Dai*, Yaorong Huang, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu, Meta Reinforcement Learning for Multi-task Offloading in Vehicular Edge Computing, IEEE Transactions on Mobile Computing, early access. (SCI, IF= 6.075 (2022), JCR Q1)

2. Penglin Dai*, Biao Han, Xiao Wu, Huanlai Xing, Bingyi Liu and Kai Liu, Distributed Convex Relaxation for Heterogeneous Task Replication in Mobile Edge Computing, IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2022.3232495. (SCI, IF= 6.075 (2022), JCR Q1)

3. Fuhong Song; Huanlai Xing; Xinhan Wang; Shouxi Luo; Penglin Dai; Zhiwen Xiao; Bowen Zhao, Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing, IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2022.3208457. (SCI, IF= 6.075 (2022), JCR Q1)

4. Penglin Dai, Feng Song, Kai Liu*, Yueyue Dai, Pan Zhou, and Songtao Guo, Edge Intelligence for Adaptive Multimedia Streaming in Heterogeneous Internet of Vehicles, IEEE Transactions on Mobile Computing,, 2023, 22(3):1464-1478. (SCI, IF= 6.075 (2022), JCR Q1)

5. Zongkai Liu, Penglin Dai*, Huanlai Xing, Zhaofei Yu and Wei Zhang, A Distributed Algorithm for Task Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(7): 4388-4401. (SCI, IF= 11.471 (2022), JCR Q1)

6. Penglin Dai*, Kaiwen Hu, Xiao Wu, Huanlai Xing, Fei Teng and Zhaofei Yu, A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks, IEEE Transactions on Intelligent Transportation Systems, 2022, 23(2): 899-911(SCI, IF= 6.319 (2020), JCR Q1)

7. Zihua Hang, Penglin Dai*, Shanshan Jia*, and Zhaofei Yu,, Network structure reconstruction with symmetry constraint, Chaos, Solitons & Fractals, 2020, 139: 1-9. (SCI, IF= 3.764 (2020), JCR Q1)

8. Fuhong Song, Huanlai Xing, Shouxi Luo, Dawei Zhan, Penglin Dai, and Rong Qu, A Multiobjective Computation Offloading Algorithm for Mobile Edge Computing, IEEE Internet of Things Journal, 2020, 7(9): 8780-8799. (SCI, IF=9.936 (2020), JCR Q1)

9. Kai Liu*, Ke Xiao, Penglin Dai*, Victor Lee, Songtao Guo and Jiannong Cao, Fog Computing Empowered Data Dissemination in Software Defined Heterogeneous VANETs, IEEE Transactions on Mobile Computing. (accepted, SCI, IF= 4.474 (2019), JCR Q1)

10. Penglin Dai Zihua Hang, Kai Liu*, Xiao Wu, Huanlai Xing, Zhaofei Yu and Victor Chung Sing Lee, Multi-armed Bandit Learning for Computation-intensive Services in MEC-empowered Vehicular Networks, IEEE Transactions on Vehicular Technology, 69(7): 7821-7834. (SCI, IF= 5.339 (2019), JCR Q1)

11. Keke Huang, Shuo Li, Penglin Dai, Zhen Wang, Zhaofei Yu*, SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction, Neural Networks, 2020, 126:143-152 (SCI, IF=5.785(2019), JCR Q1）

12. Kong Ye, Penglin Dai*, Xiao Wu, Yan Ding, Huanlai Xing, Zhaofei Yu, Bandwidth-Aware Traffic Sensing in Vehicular Networks with Mobile Edge Computing, Sensors, 2019, 19(16): 3547 (SCI, IF=3.031 (2019), JCR Q1）
    

13. Huanlai Xing*, Xinyu Zhou, Xinhan Wang, Shouxi Luo, Penglin Dai and Hui Yang. An Integer Encoding Grey Wolf Optimizer for Virtual Network Function Placement, Applied Soft Computing, 2019, 76:575-594.(SCI, IF= 3.907 (2019), JCR Q1)

14. Penglin Dai, Kai Liu*, Xiao Wu, Zhaofei Yu*, Huanlai Xing, Victor Chung Sing Lee. Cooperative Temporal Data Dissemination in SDN-based Heterogeneous Vehicular Networks, IEEE Internet of Things Journal, 2019, 6(1): 72-83. (SCI, IF= 9.515 (2018), JCR Q1)

15. Penglin Dai, Kai Liu*, Xiao Wu, Yong Liao, Victor Chung Sing Lee, Sang Hyuk Son. Bandwidth Efficiency and Service Adaptiveness Oriented Data Dissemination in Heterogeneous Vehicular Networks, IEEE Transactions on Vehicular Technology, 2018, 67(7):6585-6598. (SCI, IF= 4.066 (2018), JCR Q1)

16. Penglin Dai, Kai Liu*, Liang Feng, Haijun Zhang, Victor Chung Sing Lee, Sang Hyuk Son, Xiao Wu*. Temporal Information Services in Large-Scale Vehicular Networks through Evolutionary Multi-objective Optimization,  IEEE Transactions on Intelligent Transportation Systems, 2019, 20(1):218-231 (SCI, IF= 3.724 (2018),JCR Q1)

17. Kai Liu*, Liang Feng, Penglin Dai, Victor Lee, Sang Son and Jiannong Cao. Coding-assisted Broadcast Scheduling via Memetic Computing in SDN-based Vehicular Networks, IEEE Transactions on Intelligent Transportation Systems, 2018, 19(8): 2420-2431. (SCI, IF= 3.724 (2016), 4.467 (5-year), JCR Q1)

18. Penglin Dai, Kai Liu*，Liang Feng, Qingfeng Zhuge, Victor Lee and Sang Son. Adaptive Scheduling for Real-time and Temporal Information Services in Vehicular Networks, Transportation Research Part C: Emerging Technologies, 2016,71:313-332. (SCI, IF= 3.805 (2016), 4.334 (5-year), JCR Q1)

19. Penglin Dai, Kai Liu*, Qingfeng Zhuge, Edwin Sha, Victor Lee and Sang Son*. Quality of Experience Oriented Autonomous Intersection Control in Vehicular Networks, IEEE Transactions on Intelligent Transportation Systems, 2016, 17(7):1956-1967. (SCI, IF= 3.724 (2016), 4.467 (5-year), JCR Q1)

20. Penglin Dai, Qingfeng Zhuge*, Xianzhang Chen, Weiwen Jiang, Edwin H.-M. Sha, Effective file data-block placement for different types of page cache on hybrid main memory architectures, Design Automation for Embedded Systems, 2014, 17(3-4): 485~506 (SCI, IF= 0.367 (2014), JCR Q4)

21. Huizhang Luo, Penglin Dai, Liang Shi*, Chun Xue, Qingfeng Zhuge, Edwin H.-M. Sha, Write reconstruction for write throughput improvement on MLC PCM based main memory, Journal of Systems Architecture, 2016,71:62-72. (SCI, IF=0.683(2016), 0.749 (5-year), JCR Q3)

Conference(*Corresponding Author)

1. Yaorong Huang, Penglin Dai*, Kangli Zhao and Huanlai Xing, Contextual Multi-Armed Bandit Learning for Freshness-aware Cache Update in Vehicular Edge Networks, 2022 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA), Guangzhou, China, November, 4-6, 2022.

2. Xinhan Wang, Huanlai Xing, Fuhong Song, Shouxi Luo and Penglin Dai, Dynamic Multicast-oriented Virtual Network Function Placement with SFC Request Prediction, 2022 14th International Conference on Communication Software and Networks (ICCSN), Chongqing, China, June, 10-12, 2022.

3. Dong Wang, Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Songtao Guo, Evolutionary Multitasking for Cross-domain Task Optimization via Vehicular Edge Computing, 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, December, 7-11, 2021.

4. Penglin Dai*, Kaiwen Hu, Xiao Wu, Huanglai Xing and Zhaofei Yu, Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks, 2021 IEEE 40th International Conference on Computer Communications (IEEE INFOCOM 2021), Virtual Conference, 2021. (CCF-A)

5. Juan Chen, Zhiwen Xiao, Huanlai Xing, Penglin Dai, Shouxi Luo, and Muhammad Azhar Iqbal, STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN, IEEE International Conference on Communications (IEEE ICC 2020), Dublin, Ireland, 2020. (CCF-C)

6. Penglin Dai, Kai Liu, Xiao Wu, Huailai Xing, Jing Xu and Victor Lee. Joint Resource Optimization for Adaptive Multimedia Services in MEC-based Vehicular Networks, IEEE Global Communications Conference: Mobile and Wireless Networks(IEEE GLOBECOM 2019), Waikoloa, HI, USA, December, 9-13, 2019. (CCF-C)

7. Penglin Dai, Kai Liu, Xiao Wu, Huailai Xing, Zhaofei Yu and Victor Lee. A Learning Algorithm for Real-time Service in Vehicular Networks with Mobile-Edge Computing. IEEE International Conference on Communications (IEEE ICC 2019), Shanghai, China, May 20-24, 2019. (CCF-C)

8. Huanlai Xing, Song Li, Penglin Dai, Shouxi Luo, Ke Li, and Hui Yang. 2019. A PBIL for delay constrained virtual network function placement with load balancing. In Proceedings of the ACM Turing Celebration Conference (ACM TURC 2019), Chengdu, China, May, 17-19. (EI)
   

9. Penglin Dai, Kai Liu, Xiao Wu, Huailai Xing and Victor Lee. Multi-objective Optimization for Network Resource Management in Heterogeneous Vehicular Networks. IEEE Wireless Communications and Networking Conference (IEEE WCNC’19), Marrakech, Morocco, April 15-18, 2019. (CCF-C)

10. Penglin Dai, Kai Liu, Ke Xiao, Junhua Wang, Zhaofei You, Huanlai Xing. An Adaptive Task Assignment Scheme for Data Service in Heterogeneous Vehicular Networks. The 13th International Conference on Networking, Architecture, and Storage (IEEE NAS 2018), Chongqing, China, October 10−14, 2018. (EI)

11. Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Victor Lee and Sang Son. A Memetic Algorithm for Cache aided Data Broadcast with Network Coding in Vehicular Networks. 2017 IEEE Global Communications Conference: Mobile and Wirelesss Networks (IEEE Globecom 2017), Singapore, December 4-8, 2017. (CCF-C)

12. Junhua Wang, Kai Liu*, Penglin Dai, Edwin H.-M. Sha, Liang Feng, Chao Chen and Chunhua Xiao. Cooperative Information Services Based on Predictable Trajectories in BusVANETs. Proc. of the 18th IEEE International Conference on High Performance Computing and Communications (IEEE HPCC 2016), Sydney, Australia, December 12-14 2016. (CCF-C)

13. Penglin Dai, Kai Liu*, Liang Feng, Qingfeng Zhuge, Victor Lee and Sang Son. Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization. Proc. of the 41st IEEE Conference on Local Computer Networks (IEEE LCN 2016), Dubai, UAE, November 7-10, 2016. (CCF-C)

14. Penglin Dai, Kai Liu*,Qingfeng Zhuge, Edwin Sha, Victor Lee and Sang Son. A Convex Optimization Based Autonomous Intersection Control Strategy in Vehicular Cyber-Physical System. Proc. of the 13th IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC 2016), Toulouse, France, July 18-21, 2016. (CCF-C)

15. Penglin Dai, Kai Liu*, Qingfeng Zhuge, Edwin Sha, Victor Lee and Sang H. Son. Vehicle Assisted Data Update for Temporal Information Service in Vehicular Networks. Proc. of the 18th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2015), Canary Islands, Spain, September 15-18,2015.

16. Xianzhang Chen, Edwin Sha, Qingfeng Zhuge, Penglin Dai, Weiwen Jiang. Optimizing data placement for reducing shift operations on Domain Wall Memories. 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), San Francisco, CA, 2015. (CCF-B)

主要研究方向

(1)  车联网

(2) 边缘人工智能

(3) 自动驾驶协同感知