CV

Contact

• Email: youli@alu.fudan.edu.cn

Education

Fudan University, Ph.D. in Electronic Information Engineering - AI Track (Incoming), 2026.09 - 2030.06 (Expected)

• Research on LLM-based multi-agent systems, social simulation, and visual analytics.
• Supervisor: Prof. Siming Chen

Fudan University, M.Eng. in Computer Technology, 2022.09 - 2025.06

Beijing Jiaotong University, B.Eng. in Computer Science and Technology, 2018.09 - 2022.06

Selected Research Projects

ChoiceVerse: Visual Analytics for Data-Driven Multi-Agent College Admission Simulation FDU-VIS Lab, Fudan University 2025.09 - Present

• Designed a heterogeneous architecture combining rule-based and LLM-based agents.
• Proposed profile-semantic alignment from sparse survey data to 300+ heterogeneous agents.
• Built visual analytics views including cognitive fishbone diagrams and Sankey-based evolution paths.

Human-in-the-Loop Segmentation and SAM-Based Bronchial Annotation System Shanghai Municipal Science and Technology Commission Project 2022.09 - 2024.09

• Improved SAM variants for fine-grained bronchial segmentation with interactive sparse-click workflow.
• Implemented preoperative annotation and intraoperative monocular depth estimation subsystems.
• Delivered one technical report and one patent; supported deployment in bronchoscopic surgical robotics.

Experience

Research Assistant, FDU-VIS Lab, Fudan University 2025.09 - Present

• Leading ChoiceVerse research;
• Participating in a Weibo social simulation project for user behavior modeling.

Algorithm Intern, Shanghai MicroPort MedBot (Group) Co., Ltd. 2023.09 - 2024.05

• Fine-tuned ZoeDepth for real-time monocular depth estimation in bronchoscopic surgical navigation.
• Built coronary artery segmentation with nnUNet for surgical map construction (Dice: 86%).

Skills

• English: CET-6: 584 (Reading: 243/249)
• LLM Technologies: Transformers, LangChain, LLM deployment and optimization
• Programming: Python, C++, LLM API integration and optimization
• Deep Learning: PyTorch, NumPy, Pandas, OpenCV
• Tools: Git, Shell, Linux, LaTeX

Interdisciplinary Practice

• Organized interdisciplinary lectures in NLP, computational social science, and visual analytics (200+ attendees per session).
• Completed coursework in Economics and Sociology to support computational social science research.
• Facilitated collaboration between the School of Data Science and the Institute of Higher Education at Fudan University.