Zecheng (Aaron) Qiu

Zecheng (Aaron) Qiu

仇泽程 / 仇澤程

Undergraduate student pursuing BSc. in Computer Science

Introduction

Zecheng Qiu (Preferred Name: Aaron; 仇泽程 / 仇澤程) is an undergraduate student pursuing a Bachelor of Science in Computer Science at the School of Computer Science and Engineering (S.C.S.E.), Faculty of Innovation Engineering (F.I.E.), Macau University of Science and Technology (M.U.S.T.). He expects to graduate in August 2027.

Currently, he serves as a Research Assistant in the Research Group of Prof. Victor Junqiu Wei and the PF-CFD Team led by Prof. Junxiang Yang.

His research interests primarily lie in Data Visualization, Natural Language Processing (NLP), Text-to-SQL / Text-to-Visualization, Trajectory Data Analysis.

His email addresses are [email protected] and [email protected].

Curriculum Vitae:   English  |  Simplified Chinese (简体中文)  |  Traditional Chinese (繁體中文)

Education

  • BSc. in Computer Science, Macau University of Science and Technology (Sep. 2023 - Present)
    • CGPA: 3.73 / 4.00 (Top 5%)
    • 2024-2025 GPA: 3.85 / 4.00 (Rank: 14/429)
    • Selected Coursework: Object-Oriented Programming (A+), Web Technologies (A+), Digital Logic (A+), Physics (A+), Probabilities and Statistics (A+), Data Structures (A), Calculus Ⅲ (A-), Computer Organization (A-).

Research Experience

Research Group of Prof. Victor Junqiu Wei

Research Assistant (Mar. 2025 – Present)

Focused on Conversational Text-to-Trajectory Visualization (Text2Traj) using Large Language Models (LLMs) and Spatial Databases.

  • System Development: Developed a dialogue-centric visualization system on PostgreSQL and PostGIS, integrating Text-to-SQL paradigms to process complex spatio-temporal queries.
  • Semantic Reasoning: Implemented an LLM-based semantic reasoning layer to autonomously detect and resolve query ambiguities (e.g., spatial granularity conflicts, underspecified visualization types) and identify unanswerable requests.
  • Benchmark Construction: Constructed a large-scale benchmark dataset containing adversarial examples to evaluate the robustness of LLMs in handling spatial constraints and administrative boundary logic.

PF-CFD Team (Prof. Junxiang Yang)

Research Assistant (Feb. 2024 – Present)

Focused on Multi-Phase-Field Vesicle Simulation and Biological Modeling using Numerical Methods.

  • Numerical Solver Implementation: Implemented a hybrid numerical solver for 3D fluid vesicle dynamics in C++, integrating phase-field models into an existing simulation framework.
  • Algorithm Optimization: Applied a semi-implicit finite difference scheme to evolve phase-field equations, ensuring rigorous numerical stability and energy conservation.
  • 3D Tissue Growth Simulation: Developed a 3D numerical simulation framework using C++ and MATLAB to model curvature-dependent tissue growth on complex bio-scaffolds.
  • Solver Enhancement: Engineered an Alternating Direction Implicit (ADI) solver with second-order temporal accuracy to ensure unconditional numerical stability.

Publications

Academic Services

  • External Reviewer, IEEE International Conference on Data Engineering (ICDE) 2026.
    • Review submissions related to DB4AI and LLM Agent Memory Systems.
  • Student Representative, HKIE Accreditation Interview Panel.
    • Supported the validation of the BSc in Computer Science program during the accreditation interview.

Internship

Awards & Scholarship

  • Dean’s Honor List (2024-2025), Faculty of Innovation Engineering, M.U.S.T.
  • Entrance Scholarships (Outstanding Category) (Sep. 2023 - Present).

Skills

Languages

  • English: Full Professional Proficiency (IELTS 7.0)
  • Mandarin: Native Proficiency (National Putonghua Proficiency Test 2-A)

Technical Skills

  • Programming: C/C++ (High Proficiency), Python, SQL (PostgreSQL), Java, RISC-V Assembly, HTML/CSS/JS.
  • Tools & Frameworks: PyTorch, PostGIS, MATLAB, Docker, Linux, Git, LaTeX, Visual Studio Code.

Extracurricular Courses

AI Engineer: Gen-AI and Virtual Worlds

The University of Hong Kong Summer Institute (July 2024)

  • AI Potential and Tools for development.
  • Development of AI Model.
  • Practical case studies for AI technologies.
  • 3D World and Creation.

Membership