CV

Education

• Ph.D. in Computer Science, City University of Hong Kong, 2026 - present
• M.S. in Industrial Engineering, Guangdong University of Technology, 2022 - 2025
• B.S. in Industrial Engineering, Guangdong University of Technology, 2018 - 2022

Research Interests

• Intelligent Manufacturing Systems
• Multi-objective Optimization
• Neural Combinatorial Optimization
• Artificial Intelligence

Work experience

• 2025.07 - 2025.12: Research Assistant
  • City University of Hong Kong
  • Department of Computer Science, Optima Group

Skills

• Programming: Python
• Frameworks: Reinforcement Learning, Deep Learning
• Optimization: Multi-objective Optimization, Combinatorial Optimization
• Tools: Jekyll, Git, LaTeX

Publications

Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization

Junhao Qiu, Xin Chen, Liang Ge, Liyong Lin, Zhichao Lu, Qingfu Zhang. Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization. ICML, 2026.

Recent advances in assembly flow shop scheduling and its extensions to distributed manufacturing and integrated supply chain

Ting Liu, Jianjun Liu, Junhao Qiu, Canlin Lai, Zhongming Zhang. Recent advances in assembly flow shop scheduling and its extensions to distributed manufacturing and integrated supply chain[J]. Computers & Industrial Engineering, 2025: 111711.

Collaborative optimisation framework for multi-stage flexible assembly shop scheduling with mixed production pattern

Rongjie Liao, Jianjun Liu, Junhao Qiu, Chengfeng Peng. Collaborative optimisation framework for multi-stage flexible assembly shop scheduling with mixed production pattern[J]. International Journal of Production Research, 2025: 1-19.

Rolling scheduling of distributed multi-site final-assembly projects under integrated customization requirements

Jianjun Liu, Junhao Qiu, Chaoxiong Mo, Xinjun Lai, Qingxin Chen, Ning Mao. Rolling scheduling of distributed multi-site final-assembly projects under integrated customization requirements[J]. Journal of Mechanical Engineering, 2025, (06): 316-330.

Human-Computer Interaction Scheduling and Case Studies in Complex Manufacturing System

Jianjun Liu, Junhao Qiu, Zhongming Zhang. Human-Computer Interaction Scheduling and Case Studies in Complex Manufacturing System[J]. Journal of Mechanical Engineering, Accepted, 2025.

A novel predictive-reactive scheduling method for parallel batch processor lot-sizing and scheduling with sequence-dependent setup time

Junhao Qiu, Jianjun Liu, Chengfeng Peng, Qingxin Chen. A novel predictive-reactive scheduling method for parallel batch processor lot-sizing and scheduling with sequence-dependent setup time[J]. Computers & Industrial Engineering, 2024.

A multi-level action coupling reinforcement learning approach for online two-stage flexible assembly flowshop scheduling

Junhao Qiu, Jianjun Liu, Zhantao Li, Xinjun Lai. A multi-level action coupling reinforcement learning approach for online two-stage flexible assembly Flowshop scheduling[J]. Journal of Manufacturing Systems, 2024, 76: 351-370.

Bi-deformation-UNet: recombination of differential channels for printed surface defect detection

Ziyang Chen, Guoheng Huang, Ying Wang, Junhao Qiu, Fan Yang, Zhiwen Yu, Chi-Man Pun. Bi-deformation-UNet: recombination of differential channels for printed surface defect detection[J]. The Visual Computer, 2022: 1-19.

Development of RGB-D simultaneous localization and mapping in dynamic environments based on motion removal and dense map reconstruction

Genping Zhao, Junhao Qiu, Yeping Peng, Xiaowei Zhang. Development of RGB-D simultaneous localization and mapping in dynamic environments based on motion removal and dense map reconstruction[J]. Journal of Applied Remote Sensing, 2022, 16(4): 044526.

TriView-ParNet: parallel network for hybrid recognition of touching printed and handwritten strings based on feature fusion and three-view co-training

Junhao Qiu, Shangyu Lai, Guoheng Huang, Weiwen Zhang, Junhui Mai, Chi-Man Pun, Wing-Kuen Ling. TriView-ParNet: parallel network for hybrid recognition of touching printed and handwritten strings based on feature fusion and three-view co-training[J]. Applied Intelligence, 2022: 1-20.

Talks

Teaching

Service and Leadership

• Reviewer: AAAI, International Journal of Production Research, The Journal of Supercomputing
• National Scholarship 2023, 2024
• Outstanding Graduate of Guangdong University of Technology, 2022 & 2025