教育背景

2018.09－2022.6     湖南大学        计算机科学与技术  工学博士

2011.09－2015.06   华中科技大学    自动化    工学学士

海外经历 

2019.12-2020.12 新加坡科技与研究局(Agency for Science, Technology and Research, Singapore)，通信研究院(Institute for Infocomm Research)，博士联合培养

工作经历 

2022.7-至今

2017.7-2018.7华为技术有限公司，Android Framework开发工程师  

学术研究

研究领域：深度学习

研究方向：时间序列分析，图神经网络，高性能深度学习

在面向大数据与人工智能的高效能计算领域，已累计在国际学术期刊和会议上发表/接受论文20余篇，其中一作或者通讯作者论文11篇，CCF A类论文5篇，CCF B类期刊8篇，SCI 1区/ IEEE&ACM Transactions论文3篇，影响因子>10论文1篇。一作论文涉及IEEE TII, ACM TKDD, ACM TOSN等。

硕士招生

每年招收3名左右硕士研究生，欢迎对人工智能和高性能计算感兴趣的同学们与我联系（邮箱：liyangfan37@csu.edu.cn）

部分论文

1. Yangfan Li, Cen Chen, Mingxing Duan, Zeng Zeng, Kenli Li. Attention-aware encoder–decoder neural networks for heterogeneous graphs of things[J]. IEEE Transactions on Industrial Informatics, 2020, 17(4): 2890-2898. (IF 10.21/2020, 中科院1区)

2. Yangfan Li, Kenli Li, Cen Chen, Xu Zhou, Zeng Zeng, Keqin Li. Modeling temporal patterns with dilated convolutions for time-series forecasting[J]. ACM Transactions on Knowledge Discovery from Data (TKDD), 2021, 16(1): 1-22.(IF 2.71/2020, JCR Q2, CCF B类期刊)

3. Yangfan Li, Kenli Li, Wei Wei, Joey Tianyi Zhou, Cen Chen. CoRec: An Efficient Internet Behavior based Recommendation Framework with Edge-cloud Collaboration on Deep Convolution Neural Networks[J]. ACM Transactions on Sensor Networks (TOSN), 2022. （在线发表：DOI:10.1145/3526191）(IF 2.25/2020, JCR Q3， CCF B类期刊)

4. Yangfan Li，YiKunHuman，Fan Wu，Kenli Li. DiVIT: Algorithm and architecture co-design of differential attention in vision transformer[J]. Journal of Systems Architecture, 2022, 128（1）: 102520. (IF 4.97/2020, JCR Q1，CCF B类期刊)

5. Chigang Xing, Yangfan Li, et al. Determinantal point process-based new radio unlicensed link scheduling for multi-access edge computing[J]. World Wide Web, 2022，25（1）：2215–2239. (IF 2.72/2020, JCR Q2，共同一作)

6. Hui Yin, Yangfan Li*, Hua Deng, Wei Zhang, Zheng Qin, Keqin Li. An Attribute-Based Keyword Search Scheme for Multiple Data Owners in Cloud-Assisted Industrial Internet of Things[J]. IEEE Transactions on Industrial Informatics, 2022. （在线发表：DOI:10.1109/TII.2022.3192304）(IF 10.21/2020, 中科院1区，通信作者)

7. Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li*, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce Kh Chow, Xiaoli Li. Correlation Induced Clustering for High Dimensional Bioinformatics Data. Journal of Biomedical and Health Informatics.2022.（在线发表：DOI:10.1109/JBHI.2022.3179265）(IF 5.77/2020, JCR Q1, 通信作者)

8. Hui Yin, Yangfan Li*, Fangmin Li, Hua Deng, Wei Zhang, Keqin Li. An efficient and access policy-hiding keyword search and data sharing scheme in cloud-assisted IoT[J]. Journal of Systems Architecture, 2022，128（1）: 102533.(IF 4.97/2020, JCR Q1，CCF B类期刊，通信作者)

9. Yuanyuan Zeng, Yangfan Li*, Xu Zhou, Jianye Yang, Wenjun Jiang, Kenli Li. Efficient Game Theoretic Approach to Dynamic Graph Partitioning[J]. Information Sciences, 2022，606(8). （在线发表：DOI:10.1016/j.ins.2022.05.096）(IF 6.79/2020, JCR Q1，CCF B类期刊, 通信作者)

10. Peiyin Lin, Yangfan Li*, Wensheng Luo, Xu Zhou, Yuanyuan Zeng, Kenli Li, Keqin Li. Personalized query techniques in graphs: A survey[J]. Information Sciences, 2022，607(1):961-1000.（ 在线发表：DOI:10.1016/j.ins.2022.06.023）(IF 6.79/2020, JCR Q1, 通信作者，CCF B类期刊)

11. Zhou Zhou, Yangfan Li*, Fangmin Li, Hongbing Cheng. An Intelligence Energy Consumption Model based on BP Neural Network in Mobile Edge Computing[J]. Journal of Parallel and Distributed Computing, 2022，167（7）.（ 在线发表：DOI:10.1016/j.jpdc.2022.05.005）(IF 3.73/2020, JCR Q1, 通信作者，CCF B类期刊)

12. Cen Chen, Kenli Li, Xiaofeng Zou, Yangfan Li, et al., “DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks,”Design Automation Conference, 2021.（DOI:10.1109/DAC18074.2021.9586298). (CCF A 类会议)

13. Cen Chen, Kenli Li, Yangfan Li,Xiaofeng, Zou,  “ReGNN: A Redundancy-Eliminated Graph Neural Networks Accelerator”, The 28th IEEE International Symposium on High-Performance Computer Architecture (HPCA-28), 2022.（DOI:10.1109/HPCA53966.2022.00039） (CCF A 类会议)

14. Xiaofeng Zou, Kenli Li, Yangfan Li, Wei Wei, Cen Chen,“Multi-Task Y-shaped Graph Neural Network for Point Cloud Learning in Autonomous Driving”, IEEE Transactions on Intelligent Transportation Systems, 2022，23（7）：1-12. (IF 6.49/2020, JCR Q1)

15. Jianxi Yang, Likai Zhang, Cen Chen, Yangfan Li, et al., “A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection,” Information Science, 2020，540：117-130. (IF 6.79/2020, JCR Q1)

16. Chao Yang, Yicheng Liu, Fangmin Li, and Yangfan Li. “Finite-time Synchronization of a Class of Coupled Memristor-based Recurrent Neural Networks: Static State Control and Dynamic Control Approach,”International Journal of Control, Automation and Systems,2021, 19(1):426-438. (IF 2.96/2020, JCR Q2)