LU Zhi

Title:Lecturer

Position:Master’s Supervisor

Research Interests:Heuristic algorithms, graph and combinatorial optimization problems

Email: zhilu@usst.edu.cn, zhilusix@gmail.com

Office: Room A1015, Business School

Department:Information Management and Information Systems

Academic/Professional Qualifications & Career History

Academic/Professional Qualifications 

Ph.D., Computer Science, University of Angers, Angers, France. 2016-2020

M.E., Instrument Science and Technology, University of Electronic Science and Technology of China, Chengdu, China. 2013-2016


Career History:

Lecturer, Business School, University of Shanghai for Science and Technology, Shanghai, China, 2020-now



Research Achievements

Research projects:

1. 2022.01-2024.12, Learning based combinatorial algorithms for spectral graph partitioning problems, Youth Project, National Natural Science Foundation of China.

2. 2022.10-2025.09, Models and algorithms for several graph partitioning problems in large-scale social networks, Shanghai Pujiang Talent Program.

3. 2022.01-2023.12, Funding Programs for Youth Teachers of Shanghai Colleges and Universities.


Recent Papers:

1. Xiaodong Zhu, Zhi Lu*, Gang (Henry) Wu, Hongli Tian. How to acquire customer loyalty in online retailing industry? An empirical study from service recovery perspective. Electronic Commerce Research and Applications 65: 101385, 2024. (ABS 2)

2. Zhi Lu, Jian Gao, Jin-Kao Hao*, Pingle Yang, Lixin Zhou. Learning driven three-phase search for the maximum independent union of cliques problem, Computers & Operations Research 164: 106549, 2024. (ABS 3)

3. Zhi Lu, Anna Martínez-Gavara*, Jin-Kao Hao, Xiangjing Lai. Solution-based tabu search for the capacitated dispersion problem. Expert Systems with Applications 223: 119856, 2023. (JCR Q1)

4. Zhi Lu, Yi Zhou*, Jin-Kao Hao*. A hybrid evolutionary algorithm for the clique partitioning problem. IEEE Transactions on Cybernetics 52(9): 9391-9403, 2022. (ABS 3)

5. Zhi Lu, Jin-Kao Hao*, Una Benlic, David Lesaint. Iterated multilevel simulated annealing for large-scale graph conductance minimization. Information Sciences 572: 182-199, 2021. (JCR Q1)

6. Zhi Lu, Jin-Kao Hao*, Qinghua Wu. A hybrid evolutionary algorithm for finding low conductance of large graphs. Future Generation Computer Systems 106: 105-120, 2020. (JCR Q1)

7. Zhi Lu, Jin-Kao Hao*, Yi Zhou. Stagnation-aware breakout tabu search for the minimum conductance graph partitioning problem. Computers & Operations Research 111: 43-57, 2019. (ABS 3)

8. Zhi Lu, Jin-Kao Hao, Yi Zhou. Breakout tabu search for the minimum conductance graph partitioning problem, ROADEF2018 (19ème congré annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision), Lorient, France, Feb. 2018. (Conference)


Teaching Courses

Artificial Intelligence Fundamentals (Undergraduate)

Python Programming (Undergraduate)

Database Fundamentals A (Undergraduate)


Professional/Consulting Activities

 

If you are interested in my research and are developing proficiency in mathematics, programming, and English, welcome to apply for my postgraduate in systems engineering. 

Feel free to contact me: zhilu@usst.edu.cn


Awards and Honors

2022, Shanghai Pujiang Talent Program Award

2022, USST Sixue Program Award