Hi. I am Associate Professor Dr. Xinlu Li [李新路副教授], member of the Institute of Applied Optimization [应用优化研究所] of the School of Artificial Intelligence and Big Data [人工智能与大数据学院] of the Hefei University [合肥大学]. I received my PhD in Computer Science in 2019 under the supervision of Dr. Fred Mtenzi and Dr. Brian Keegan from the Technological University Dublin (TU Dublin) in Dublin, Ireland and my M.Sc. from Anhui University [安徽大学], Hefei, Anhui, China in 2009. I was Senior Lecturer at Hefei University from 2012 to November 2019 and since December 2020, I am Associate Professor. My research is focused on energy efficient routing protocol design for large-scale Wireless Sensor Networks based on Swarm Intelligence Algorithms.
Scholarly Profiles
Several facets of my research work can be accessed from the following profiles:
Publications
Here you can find a compilation of my scientific publications.
international journal articles
Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen, and Jörg Lässig. Frequency Fitness Assignment: Optimization without Bias for Good Solutions can be Efficient. IEEE Transactions on Evolutionary Computation (TEVC). 2022. Early Access.
doi:10.1109/TEVC.2022.3191698 / preprint@arxiv / data and source code @ doi:10.5281/zenodo.5567725.
Indexing: SCI, EI, 1区, CCF-B类Yan Chen, Wenxiang Jiang, Mengyuan Wang, Menglei Kang, Thomas Weise, Xiaofeng Wang, Ming Tan, Lixiang Xu, Xinlu Li, and Chen Zhang. LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery. Remote Sensing. 14(24):6193. December 2022.
doi:10.3390/rs14246193
Indexing: EI, SCIE, 2区, CAA-B类Lixiang Xu, Lixin Cui, Thomas Weise, Xinlu Li, Zhize Wu, Feiping Nie, Enhong Chen, and Yuanyan Tang. Semi-supervised multi-Layer convolution kernel learning in credit evaluation. Pattern Recognition. 120(108125). December 2021.
doi:10.1016/j.patcog.2021.108125
Indexing: SCI, EI, 1区, CCF-B类Zhi-Ze Wu, Xiao-Feng Wang, Le Zou, Li-Xiang Xu, Xin-Lu Li, and Thomas Weise. Hierarchical Object Detection for Very High-Resolution Satellite Images. Applied Soft Computing Journal (ASOC), 113(Part A), December 2021, 107885.
doi:10.1016/j.asoc.2021.107885
Indexing: EI, WOS, ESCI, 1区Thomas Weise, Zhize Wu, Xinlu Li, and Yan Chen. Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function Value. IEEE Transactions on Evolutionary Computation 25(2):307–319. April 2021.
Preprint available at arXiv:2001.01416v5 [cs.NE] 15 Oct 2020.
doi:10.1109/TEVC.2020.3032090 / pdf / paper@arxiv / experimental results and source code data set @ doi:10.5281/zenodo.3899474
Indexing: SCI, EI, 1区, CCF-B类Xinlu Li, Mengfei Xu, Jiabo Xu, Thomas Weise, Le Zou, Fei Sun, and Zhize Wu. Image Retrieval Using a Deep Attention-Based Hash. IEEE Access 8:142229–142242. July 2020.
doi:10.1109/ACCESS.2020.3011102 / pdf@IAO / pdf@IEEE
Indexing: EI, SCIE, 2区Thomas Weise, Yan Chen, Xinlu Li, and Zhize Wu. Selecting a diverse set of benchmark instances from a tunable model problem for black-box discrete optimization algorithms. Applied Soft Computing Journal (ASOC), 92:106269, June 2020.
doi:10.1016/j.asoc.2020.106269
Indexing: EI, WOS, ESCI, 1区Zhi-Ze Wu, Shou-Hong Wan, Xiao-Feng Wang, Ming Tan, Le Zou, Xin-Lu Li, and Yan Chen. A Benchmark Data Set for Aircraft Type Recognition from Remote Sensing Images. Applied Soft Computing Journal (ASOC). 89:106132. April 2020.
doi:10.1016/j.asoc.2020.106132
Indexing: EI, WOS, ESCI, 1区Xinlu Li, Brian Keegan, Fredrick Mtenzi, Thomas Weise, and Ming Tan. Energy-Efficient Load Balancing Ant Based Routing Algorithm for Wireless Sensor Networks. IEEE Access 7:113182–113196. August 2019.
doi:10.1109/ACCESS.2019.2934889 / pdf@IAO / pdf@IEEE
Indexing: EI, SCIE, 2区Xinlu Li, Brian Keegan, and Fredrick Mtenzi. Energy Efficient Hybrid Routing Protocol Based on the Artificial Fish Swarm Algorithm and Ant Colony Optimization for WSNs. Sensors, 18(10):3351, October 2018.
doi:10.3390/s18103351 / pdf
Indexing: SCI, EI, 3区.
conference papers
Thomas Weise, Xinlu Li, Yan Chen, and Zhize Wu. Solving Job Shop Scheduling Problems Without Using a Bias for Good Solutions. In Genetic and Evolutionary Computation Conference Companion (GECCO'21 Companion), July 10-14, 2021, Lille, France. ACM, New York, NY, USA. ISBN 978-1-4503-8351-6.
doi:10.1145/3449726.3463124 / slides / video presentation
Indexing: EI, CCF-C类Xinlu Li, Brian Keegan, and Fredrick Mtenzi. Clustering Opportunistic Ant-Based Routing Protocol for Wireless Sensor Networks. In Proceedings of the 7th International Conference on Computer Engineering and Networks (CENet2017), July 22-23, 2017, Shanghai, China, volume 299 of Proceedings of Science (PoS), Trieste, Italy: Sissa Medialab.
doi:10.22323/1.299.0038 / pdf
Indexing: EI.Xinlu Li, Brian Keegan, and Fredrick Mtenzi. Ant Colony Clustering Routing Protocol for Optimization of Large-Scale Wireless Sensor Networks. In Cristina Muntean and Pramod Pathak, editors, Proceedings of the 14th Information Technology and Telecommunications Conference (IT&T'2015), October 29-30, 2015, National College of Ireland, Dublin, Ireland, pages 2–9. ISSN 1649-1246
pdfJie Song and Xinlu Li. Porting μC/OS-II based on NE-STR750. In Proceedings of the 2nd International Symposium on Information Technologies and Applications in Education (ISITAE 2008), December 7-10, 2008, Auckland, New Zealand, pages 247–251. Institution of Engineering and Technology (IET). ISBN: 978-0-86341-913-3.
doi:10.1049/ic:20080292
national journal articles
Xinlu Li and Guanghong Zhang. Energy-Efficient Clustering Routing Algorithm for Multi-Level Energy Heterogeneous Networks. Journal of Chaohu College. 17(3):20–25, 2015. (Chinese Article)
other
You may use the following electronic methods to contact me:
Contact: | Assoc. Prof. Dr. Xinlu Li | [李新路副教授] |
Email: | [电邮] | |
Website: | Xinlu Li | [网页] |
WeChat: | lixinlu2000 | |
QQ: | 33248691 | |
LinkedIn: | http://www.linkedin.com/in/xinlu-4b7834174 |
Work Experience
- Associate Professor [副教授]
- When: since 2020/12 (ongoing)
- Where: Institute of Applied Optimization [应用优化研究所], School of Artificial Intelligence and Big Data [人工智能与大数据学院] of the Hefei University [合肥大学] in Hefei [合肥], Anhui [安徽], China [中国]
- What: research, teaching, supervising undergraduate students
- Teaching Assistant
- When: 2014–2018
- Where: School of Computing, Technological University Dublin (TU Dublin, formerly named Dublin Institute of Technology, DIT), Dublin, Ireland
- What: helping with teaching topics such as PHP, Python, Java, C, Databases
- Senior Lecturer
- When: 2012–2019/11
- Where: School of Artificial Intelligence and Big Data [人工智能与大数据学院] of the Hefei University [合肥大学] in Hefei [合肥], Anhui [安徽], China [中国]
- What: research, teaching, supervising undergraduate students
- Lecturer
- When: 2009–2012
- Where: Faculty of Computer Science and Technology [计算机科学与技术系] of the Hefei University [合肥大学] in Hefei [合肥], Anhui [安徽], China [中国]
- What: teaching, supervising undergraduate students
Education and Training
- PhD of Computer Science [博士]
- When: since 2014–2019
- Where: School of Computing, Technological University Dublin (TU Dublin, formerly named Dublin Institute of Technology, DIT), Dublin, Ireland
- Supervisors: Dr. Fred Mtenzi and Dr. Brian Keegan
- Master of Computer Science [硕士]
- When: 2006–2009
- Where: School of Computer Science and Technology [计算机科学与技术学院] of Anhui University [安徽大学], Hefei, Anhui, China. in Hefei [合肥], Anhui [安徽], China [中国]
- Supervisor: Dr. Jie Song [宋杰]
- Bachelor [学士]
- When: 1998–2002
- Where: School of Computer and Information Engineering [计算机与信息工程学院] of Fuyang Normal University [阜阳师范学院], Fuyang [阜阳], Anhui [安徽], China [中国]
- Mr. Liangkuan FANG [方良宽] (LinkedIn, GitHub)
- Mr. Liangkuan FANG [方良宽] will work on deep learning.
- Supervisor: Assoc. Prof. Dr. Xinlu Li
- 2021–2024
- Mr. Peng GAO [高鹏] (LinkedIn, GitHub)
- Mr. Peng GAO [高鹏] will work in the field of deep learning.
- Supervisor: Assoc. Prof. Dr. Xinlu Li
- 2020–2023
- Mrs. Yuanyuan LEI [雷园园] (LinkedIn, GitHub)
- Mrs. Yuanyuan LEI [雷园园] will work in the field of natural language processing.
- Supervisors: Assoc. Prof. Dr. Xinlu Li
- 2020–2023
- Mr. Peng GAO [高鹏] (LinkedIn, GitHub)
- Mr. Peng GAO [高鹏] will work in the field of deep learning.
- Supervisor: Assoc. Prof. Dr. Xinlu Li
- 2020–2023