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xie.zeyu20@gmail.com |
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+46 (0) 70-318 10 56 |
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zeyu-xie.github.io |
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Zeyu Xie |
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Zeyu-Xie |
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Zeyu Xie |
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acanxie |
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A_Genius_XZY |
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Forskarbacken 15, 114 15 Stockholm, Sweden |
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Hi! Thanks for visiting my page. Here’s a little about me:
🔍 Seeking internship opportunities in data science, software engineering, and web development.
📚 Pursuing a Master’s in Data Science, Statistics, and Decision Analysis at DSV, Stockholm University.
🎓 Graduated from Tsinghua University (2024) with a strong foundation in mathematics and programming.
🏅 Silver Medalist in the 35th Chinese Mathematical Olympiad (CMO).
🏅 First Prize in the 35th Chinese High School Mathematics League.
💻 Projects I’ve worked on: VloumeVibe—My iOS app, Handy tools like Athena-Scraper, Palette, and Textshoter.
💻 Skills I bring: Languages: C++, Python, JavaScript, Node.js, R; Tools: Docker, Conda, Xcode, and more.
🎯 Focused and goal-driven.
🐶 Kind-hearted towards people and nature.
🤔 Curious and creative, always exploring new ideas.
Top Skills: Data Analysis, Mathematics, Web Development, Python (Programming Language), C++
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Master's Degree |
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Data Science, Statistics and Decision Analysis |
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2024 - 2026 |
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Data Analysis, Python (Programming Language), Machine Learning, Mathematics, R, LaTeX, Jupyter |
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Exchange |
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Mathematics |
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2022 - 2023 |
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React.js, Python (Programming Language), Machine Learning, Mathematics, LaTeX, MATLAB, C++ |
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Bachelor's Degree |
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Mathematics |
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2020 - 2024 |
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React.js, Python (Programming Language), Machine Learning, Mathematics, LaTeX, MATLAB, C++ |
A tool for checking unsupported file names.
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Python (Programming Language), Swift (Programming Language) |
A tool for downloading files from Athena.
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Python (Programming Language) |
A homebrew package for safely monitoring remote terminals.
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Python (Programming Language), Homebrew |
An iOS app for precise volume control, as well as quiet mode with just one click. Adjust iPhone and iPad volume precisely.
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Swift (Programming Language) |
Investigated the application of backpropagation in chaotic neural networks, and analyzed stability using Lyapunov exponents.
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Python (Programming Language), Docker, LaTeX, Mathematics |
The capabilities of a single large language model (LLM) agent for solving a complex task are limited. Connecting multiple LLM agents to a network can effectively improve overall performance. However, building an LLM agent network (LAN) requires a substantial amount of time and effort. In this paper, we introduce EasyLAN, a human-computer collaborative tool that helps developers construct LANs. EasyLAN initially generates a LAN containing only one agent based on the description of the desired task. Subsequently, EasyLAN leverages a few training examples to update the LAN. For each example, EasyLAN models the gap between the output and the ground truth and identifies the causes of the errors. These errors are addressed through carefully designed strategies. Users can intervene in EasyLAN's workflow or directly modify the LAN. Eventually, the LAN evolves from a single agent to a network of LLM agents. The experimental results indicate that developers can rapidly construct LANs with good performance.
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React.js, Web Development |
A website for displaying various colors for artists.
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React.js, Web Development |
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Stockholm University |
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Bayesian Learning, Business Analytics, Data Mining, Decision Analysis, Foundations of Data Science, Machine Learning, Statistics and Data Analysis for Computer and Systems Sciences |
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Stockholm University, Tsinghua University |
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Abstract Algebra, Advanced Linear Algebra, Algorithm Analysis and Design, Complex Analysis, Computational Probability, Electrodynamics, Foundations of Data Science, Fundamentals of Programming, Introduction of Scientific Computing with Matlab, Introduction to Modern Cryptography, Lab of Physics, Machine Learning, Mathematical Analysis, Measures and Integrals, Numerical Analysis, Numerical Methods for Partial Differential Equations, Ordinary Differential Equations, Partial Differential Equations, Physics for Scientists and Engineers, Probability Theory, Reinforcement Learning, Statistical Theory and Modeling, Statistics and Data Analysis for Computer and Systems Sciences |
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A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples, Hydrangea Palette |
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Backpropagation in Chaotic Neural Networks |
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Stockholm University, Tsinghua University |
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Probability Theory, Lab of Physics |
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Stockholm University, Tsinghua University |
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Fundamentals of Programming |
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Tsinghua University |
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Introduction of Scientific Computing with Matlab |
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Stockholm University |
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Statistics and Data Analysis for Computer and Systems Sciences |
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Stockholm University, Tsinghua University |
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Introduction to Modern Cryptography, Foundations of Data Science |
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VolumeVibe |
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Tsinghua University |
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A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples, Hydrangea Palette |
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Stockholm University |
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Foundations of Data Science |
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Code |
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| Abstract Algebra | 30420384 | Tsinghua University |
| Advanced Linear Algebra | 20420134 | Tsinghua University |
| Algorithm Analysis and Design | 70420334 | Tsinghua University |
| An Introduction to the History and Philosophy of Science | 10691492 | Tsinghua University |
| Bayesian Learning | ST5301 | Stockholm University |
| Business Analytics | ML436N | Stockholm University |
| Complex Analysis | 30420464 | Tsinghua University |
| Computational Probability | 84760333 | Tsinghua University |
| Data Mining | ML752N | Stockholm University |
| Decision Analysis | ML761N | Stockholm University |
| Electrodynamics | 20430054 | Tsinghua University |
| English for Academic Purposes | 14201112 | Tsinghua University |
| Foundations of Data Science | ML750N | Stockholm University |
| Fundamentals of Law | 10660012 | Tsinghua University |
| Fundamentals of Programming | 30240233 | Tsinghua University |
| Internet Innovation and Entrepreneurship | 00240261 | Tsinghua University |
| Introduction of Scientific Computing with Matlab | 30410012 | Tsinghua University |
| Introduction to Modern Cryptography | 44760292 | Tsinghua University |
| Lab of Physics | 10430782 | Tsinghua University |
| Literature Searching and Utilization (Sci-Tech) | 20750021 | Tsinghua University |
| Machine Learning | ML272N | Stockholm University |
| Mathematical Analysis | 30420424 | Tsinghua University |
| Measures and Integrals | 30420334 | Tsinghua University |
| Numerical Analysis | 40420054 | Tsinghua University |
| Numerical Methods for Partial Differential Equations | 60420084 | Tsinghua University |
| Ordinary Differential Equations | 30420484 | Tsinghua University |
| Partial Differential Equations | 40420664 | Tsinghua University |
| Physics for Scientists and Engineers | 10430494 | Tsinghua University |
| Probability Theory | 40420624 | Tsinghua University |
| Reinforcement Learning | MT7051 | Stockholm University |
| Risk Analysis | Stockholm University | |
| Statistical Theory and Modeling | ST2601 | Stockholm University |
| Statistics and Data Analysis for Computer and Systems Sciences | ST1601 | Stockholm University |
| Studies on Greek Philosophical Classics | 00692293 | Tsinghua University |
| User-Centered Interaction Design | 10160022 | Tsinghua University |
| Writing and Communication | 10691342 | Tsinghua University |
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Chinese Mathematical Society |
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The Chinese Mathematical Olympiad is an annual invitational mathematical competition for high school students in China organized by the Chinese Mathematical Society. |
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Tsinghua University |
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The Math Talents Program Scholarship is awarded to students with outstanding performance in mathematics. |