Institute of Applied Optimization
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Team

Here you can find a list of the members of our team at the Institute of Applied Optimization (IAO) [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 [合肥学院].

Bing AI [艾兵] This email address is being protected from spambots. You need JavaScript enabled to view it. lecturer
Yan CHEN [陈岩] This email address is being protected from spambots. You need JavaScript enabled to view it. researcher
Xinlu LI [李新路] This email address is being protected from spambots. You need JavaScript enabled to view it. assoc. prof.
Jingneng NI [倪敬能] This email address is being protected from spambots. You need JavaScript enabled to view it. assoc. prof.
Thomas WEISE [汤卫思] This email address is being protected from spambots. You need JavaScript enabled to view it. director/prof.
Zhize WU [吴志泽] This email address is being protected from spambots. You need JavaScript enabled to view it. assoc. prof.
Zijun WU [吴自军] This email address is being protected from spambots. You need JavaScript enabled to view it. professor
Pei XU [许培] This email address is being protected from spambots. You need JavaScript enabled to view it. researcher
Rongwang YIN [殷荣网] This email address is being protected from spambots. You need JavaScript enabled to view it. assoc. prof.

Students

Graduate Students

  • Mrs. Yue DING [丁悦]
    • Mrs. Yue DING [丁悦] will work on deep learning.
    • Supervisors: Prof. Dr. Thomas Weise and Assoc. Prof. Dr. Zhize Wu
    • 2021–2024
  • Mr. Changjiang DU [杜长江]
    • Mr. Changjiang DU [杜长江] will work on deep learning.
    • Supervisor: Assoc. Prof. Dr. Zhize Wu
    • 2021–2024
  • 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. Wenxiang JIANG [江文祥]
    • Mr. Wenxiang JIANG [江文祥] will work on image semantic segmentation and optimization based on deep learning.
    • Supervisor: Dr. Yan Chen
    • 2021–2024
  • Mr. Tianyu LIANG [梁天宇]
    • Mr. Tianyu LIANG [梁天宇] works on optimization and Frequency Fitness Assignment.
    • Supervisor: Prof. Dr. Thomas Weise
    • 2021–2024
    • Joint Publications:
      • Tianyu Liang, Zhize Wu, Jörg Lässig, Daan van den Berg, and Thomas Weise. Solving the Traveling Salesperson Problem using Frequency Fitness Assignment. In Hisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, and Keeley A. Crockett, editors, Proceedings of the IEEE Symposium on Foundations of Computational Intelligence (IEEE FOCI'22), part of the IEEE Symposium Series on Computational Intelligence (SSCI 2022). December 4–7, 2022, Singapore, pages 360–367. IEEE.
        doi:10.1109/SSCI51031.2022.10022296
        Indexing: EI.

  • Mr. Pengpeng SUN [孙彭鹏]
    • Mr. Pengpeng SUN [孙彭鹏] will work on deep learning.
    • Supervisor: Assoc. Prof. Dr. Zhize Wu
    • 2021–2024
  • Mrs. Mengyuan WANG [王梦圆]
    • Mrs. Mengyuan WANG [王梦圆] will work on image semantic segmentation and optimization based on deep learning.
    • Supervisor: Dr. Yan Chen
    • 2021–2024
  • Mrs. Lexuan ZHANG [张乐旋] (GitHub)
    • Mrs. Lexuan ZHANG [张乐旋] will work on natural language processing.
    • 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.
    • Supervisor: Assoc. Prof. Dr. Xinlu Li
    • 2020–2023
  • Mr. Zhiyang LIU [刘志洋] (LinkedIn, GitHub)
    • Mr. Zhiyang LIU [刘志洋] will work in the field of deep learning.
    • Supervisors: Prof. Dr. Thomas Weise and Assoc. Prof. Dr. Zhize Wu
    • 2020–2023
    • Joint Publications:
      • Zhiyang Liu, Thomas Weise, and Zhize Wu. Detection of Personal Protective Equipment in Factories: A Survey and Benchmark Dataset. In De-Shuang Huang, Kang-Hyun Jo, Junfeng Jing, Prashan Premaratne, Vitoantonio Bevilacqua, and Abir Hussain, editors, Proceedings of the 18th International Conference Intelligent Computing Methodologies (ICIC'22), August 7–11, 2022, Xi'an, China, Part III, pages 448-459. Lecture Notes in Computer Science (LNCS), sub-series LNAI, volume 13395.
        doi:10.1007/978-3-031-13832-4_37
        Indexing: EI

  • Mrs. Shuoyi RAN [冉烁依] (LinkedIn, GitHub)
    • Mrs. Shuoyi RAN [冉烁依] will work in the field of deep learning.
    • Supervisors: Prof. Dr. Thomas Weise and Assoc. Prof. Dr. Zhize Wu
    • 2020–2023
    • Joint Publications:
      • Shuoyi Ran, Thomas Weise, and Zhize Wu. Chemical Safety Sign Detection: A Survey and Benchmark. In Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN'22), part of the IEEE World Congress on Computational Intelligence (IEEE WCCI), July 18–23, 2022, Padua, Italy, pages 1–7. IEEE.
        doi:10.1109/IJCNN55064.2022.9892860
        Indexing: EI, CCF-C类

Assoc. Prof. Dr. Zhize Wu: Supervised Students

  • Mrs. Yue DING [丁悦]
    • Mrs. Yue DING [丁悦] will work on deep learning.
    • Supervisors: Prof. Dr. Thomas Weise and Assoc. Prof. Dr. Zhize Wu
    • 2021–2024
  • Mr. Changjiang DU [杜长江]
    • Mr. Changjiang DU [杜长江] will work on deep learning.
    • Supervisor: Assoc. Prof. Dr. Zhize Wu
    • 2021–2024
  • Mr. Pengpeng SUN [孙彭鹏]
    • Mr. Pengpeng SUN [孙彭鹏] will work on deep learning.
    • Supervisor: Assoc. Prof. Dr. Zhize Wu
    • 2021–2024
  • Mr. Zhiyang LIU [刘志洋] (LinkedIn, GitHub)
    • Mr. Zhiyang LIU [刘志洋] will work in the field of deep learning.
    • Supervisors: Prof. Dr. Thomas Weise and Assoc. Prof. Dr. Zhize Wu
    • 2020–2023
  • Mrs. Shuoyi RAN [冉烁依] (LinkedIn, GitHub)
    • Mrs. Shuoyi RAN [冉烁依] will work in the field of deep learning.
    • Supervisors: Prof. Dr. Thomas Weise and Assoc. Prof. Dr. Zhize Wu
    • 2020–2023

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Latest Articles

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  • Reproduction of our Research Published
  • Prof. Weise gives Talk "Frequency Fitness Assignment" (频率适应度分配) on 2023-04-06 at the Chair of AI and Aerodynamics in the Harbin Institute of Technology in Shenzhen, Guangdong, China [哈尔滨工业大学(深圳)]
  • Prof. Weise gives Keynote Speech "Frequency Fitness Assignment" (频率适应度分配) at the 2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA)
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