基本信息

姓名：周立

邮箱：zhouli01@stu.scu.edu.cn

2024.09-2028.06 四川大学数据科学系博士研究生

2024.03-2028.06 华西生物医学大数据中心研究院科研助理

👋 Ni Hao!

👨‍🏫 Profile

My name is Li Zhou (周立), and I am a Ph.D. student in the Department of Data Science at Sichuan University, Chengdu, China. I also work as a research assistant at the West China Hospital Biomedical Big Data Center.

My research interests include operations research and deep reinforcement learning, with applications in environmental management and biomedicine (AI4Environment & AI4Biomedicine).

If you encounter any bugs or have questions, please feel free to reach out via email.

Suggestions and collaborations are always welcome!

研究工作、成果与经历

成果

Li Zhou, Liming Yao, Zerui Su*. (2025) A two-stage distributionally robust optimization framework for water quality management in uncertain reservoirs network. npj Clean Water (Incoming)
Zhou, L., Gao, P., & Zhao, X. (2024, September). Deep Reinforcement Learning Based Path Planning and Collision Avoidance for Smart Ships in Complex Environments. In 2024 2nd International Conference on Signal Processing and Intelligent Computing (SPIC) (pp. 690-698). IEEE.
Gao, P., Zhou, L., Zhao, X., & Shao, B. (2023). Research on ship collision avoidance path planning based on modified potential field ant colony algorithm. Ocean & Coastal Management, 235, 106482.

工作

Submissions
- An adaptive large neighborhood search with dynamic exit reassignment for guided multi-story hospital fire evacuation
Working paper
- AI 4 Environment
  - Global River Networks as Pollution Inequality Transmitters
- AI 4 Biomedicine
  - Equity and efficiency-oriented routing and scheduling for home healthcare services with multiple hospital and communities
  - Two-Stage Robust Optimization Study on Emergency Medical Resource Scheduling Driven by Confidence Levels
  - A value-based deep reinforcement learning framework with human expertise for anesthetics collaborative control
  - Contrastive Pretraining with Instrument Normalization for Metabolite Identification from Mass Spectra

经历

Logistics Research Network (LRN) Annual Conference China 2025
中国“双法”研究会智能决策与博弈分会第三届学术年会
2023年智能优化应用实践研讨会
第三届运筹优化及人工智能学术研讨会
2023数智决策与管理国际暑期学校（线上）–运筹学方向
Datawhale AI夏令营（科大讯飞、阿里云天池）–NLP方向
第十六届物流研究生暑期学校
第三届“数据智能与管理”学术会议
2023年智能优化论文写作研讨会

基础技能

英语水平：CET-6

计算机语言：Java Python

运筹优化常用模型、精确算法及Python+Java实现

智能优化算法 Algo、机器学习 ML、深度学习 DL、深度强化学习 DRL、大语言模型LLM

性格兴趣

性格类型：MBTI—ISFJ：友善、有责任心、严谨、务实

兴趣爱好：篮球、骑行、偶尔会羽毛球

Murphy Lee

Personal Resume