LIU Yilu

LIU Yilu

Ph.D. Candidate at CityUHK

Profile

I am currently a third-year Ph.D. student at Department of Computer Science, City University of Hong Kong (CityUHK), where I am very fortunate to be advised by Prof. ZHANG Qingfu.

Before joining in CityUHK, I received my B.Eng and M.Eng degrees from School of Artificial Intelligence, Xidian University, in 2020 and 2023, respectively. With the supervision of Prof. LIU Jing, I have spent delightful seven years in Xi’an and Guangzhou.

My current research interests can be summarized as “Few for Many”, mainly including the following two aspects:

  1. Social Network Analysis: Finding few social members to serve many others.
  2. Multi-Objective Optimization: Finding few solutions to optimize many objectives.

Publications

Journal Paper

  1. [TEVC’25] Yilu Liu, Xi Lin, Liang Zhao, and Qingfu Zhang, “Few for many: Towards efficient and flexible many-objective optimization,” IEEE Transactions on Evolutionary Computation (IF: 12.0, SCI-I). (Code)
  2. [TEVC’25] Yilu Liu, Xi Lin, and Qingfu Zhang, “Leader-follower disagreement minimization in social networks,” IEEE Transactions on Evolutionary Computation (IF: 12.0, SCI-I).
  3. [TEVC’24] Yilu Liu, Qingfu Zhang, and Zhenkun Wang, “Community opinion maximization in social networks,” IEEE Transactions on Evolutionary Computation (IF: 11.7, SCI-I).
  4. [INS’23] Yilu Liu, Jing Liu, and Kai Wu, “Cost-effective competition on social networks: A multi-objective optimization perspective,” Information Sciences (IF: 8.2, SCI-I).
  5. [SWEVO’22] Yilu Liu, Jing Liu, and Xiangyi Teng, “Single-particle optimization for network embedding preserving both local and global information,” Swarm and Evolutionary Computation (IF: 10.3, SCI-I).
  6. [CHAOS’25] Chenjie Gao, Xiangyi Teng, Yilu Liu, and Jing Liu, “A bilevel-optimization-driven evolutionary algorithm for community detection in multilayer networks with significant topological differences,” Chaos, Solitons & Fractals (IF: 5.6, SCI-I).

Conference Paper

  1. [PPSN’24] Yilu Liu, Chengyu Lu, Xi Lin, and Qingfu Zhang, “Many-objective cover problem: Discovering few solutions to cover many objectives,” International Conference on Parallel Problem Solving from Nature (CCF-B). (Code)
  2. [AAAI’26] Fei Liu (Co-First), Yilu Liu (Co-First), Qingfu Zhang, Xialiang Tong, and Mingxuan Yuan, “EoH-S: Evolution of heuristic set using LLMs for automated heuristic design,” Annual AAAI Conference on Artificial Intelligence (CCF-A). (Code)
  3. [ICLR’25] Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, and Qingfu Zhang, “Few for many: Tchebycheff set scalarization for many-objective optimization,” International Conference on Learning Representations.
  4. [CEC’24] Chengyu Lu, Yilu Liu, and Qingfu Zhang, “MOEA/D-CMA made better with (1+1)-CMA-ES,” IEEE Congress on Evolutionary Computation.

Selected Awards

Ph.D. Stage

  1. Research Tuition Scholarship, City University of Hong Kong, 2025. (Rate: 23/351)
  2. Best Student Paper Award, IEEE Congress on Evolutionary Computation, 2024. (Rate: 1/343)

M.Eng. Stage

  1. National Scholarship, Xidian University, 2022.
  2. Social Scholarship, Xidian University, 2022.
  3. Outstanding Student, Xidian University, 2021.

B.Eng. Stage

  1. Provincial First Prize, China Undergraduate Mathematical Contest in Modeling, 2018.
  2. First Prize Scholarship, Xidian University, 2018.
  3. Outstanding Student, Xidian University, 2018.