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Yanqiao Chen

Yanqiao Chen

Undergraduate student in the Turing Class, Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech). My research lies at the intersection of optimization theory, machine learning, and artificial intelligence.

Optimization Theory Genetic Programming Theory Reinforcement Learning Agentic AI & Context Engineering

📖 About Me

I am currently an undergraduate student in the Turing Class at SUSTech, majoring in Computer Science and Engineering. My academic background combines rigorous training in algorithms, mathematics, and machine learning, with a growing research focus on theoretical aspects of optimization and intelligent systems.

I am particularly interested in understanding the theoretical foundations that underpin modern AI systems, including optimization dynamics in deep learning, the behavior of evolutionary algorithms, decision-making in reinforcement learning, and the design principles of agentic systems.

Please feel free to reach out if you are interested in my research or would like to discuss related topics.

🎓 Education

2021 - 2024 Middle School Student

Shenzhen Middle School

Top Middle School in China, where I developed my interest in computer science and mathematics.

2024 - 2028 Undergraduate

South University of Science and Technology

Department of Computer Science and Engineering, Turing Class.

🔬 Research & Experience

Present Focus Areas

Research Interests

My research focuses on the theoretical foundations of learning and optimization. Current interests include: (1) spectral optimizers and optimization theory for deep neural networks; (2) theoretical analysis of genetic programming, with emphasis on generalization and runtime bounds; (3) reinforcement learning and world action models; and (4) agent systems, particularly context engineering and its underlying theory.

Optimization Theory Genetic Programming Reinforcement Learning Agent Systems Context Engineering
2026 Undergraduate Researcher

SUSTech Theory of AI Lab

Working on theoretical analysis of randomised search heuristics and genetic programming under the supervision of Prof. Pietro Simone Oliveto, in collaboration with Mingxuan Yin. Current work targets venues including Algorithmica, TCS, ACM TELO, and TEVC.

Randomised Search Heuristics Genetic Programming Runtime Analysis
2027 Incoming Research Intern

Research Internship

Seeking research internships at leading institutions in optimization, machine learning theory, and artificial intelligence.

Open to opportunities

🛠️ Skills

C++

C++

Java

Java

Python

Python

C

C

PostgreSQL

PostgreSQL

LaTeX

LaTeX

SystemVerilog

SystemVerilog

Git

Git

📚 Knowledge

Mathematics
Linear Algebra Stochastic Processes Probability & Statistics Combinatorics Calculus Optimization Mathematical Logic
Computer Science
Data Structures and Algorithms Computer Networks Database Systems Theory of Computation
AI & ML
Machine Learning Deep Learning Reinforcement Learning

📚 Publications

2026 Submitted

Yanqiao Chen, Dongsheng Hou, Yuhan Rui, Zhen Cao, Yepang Liu

NeurIPS 2026

2026 Under Review

Yuhan Rui, Shihan Qiao, et al.

NeurIPS 2026

2026 Under Preparation

Dongsheng Hou, Yanqiao Chen, Yuhan Rui, et al.

AAAI 2027

2026 Under Preparation

Yanqiao Chen, Mingxuan Yin, et al.

Algorithmica

🏛️ Appointments

2025 - Present

Vice President

SUSTech Theoretical Computer Science Society

Organizing lectures, workshops, and the translation of Boaz Barak's introduction to TCS.

🏆 Honors & Awards

📊
Cumulative GPA

3.83 / 4.0

Fall 2024: 3.72 Spring 2024: 3.91 Fall 2025: 3.85 Spring 2026: 3.83
🏆
2025

Star of Academic Excellence Scholarship

Outstanding academic performance in the 2024 academic year.

🏆
2025

Annual Outstanding Student Award

Exceptional academic achievements and contributions to the university community.

🥉
2024

Third Place in SUSTech Orientation Chess Tournament

Competed against 64 participants.

🌐
English Proficiency

Standardized Tests

  • • CET-4: 620/710
  • • CET-6: 624/710
  • • TOEFL: To be taken in 2026

Academic Courses

  • • SUSTech English II: A (96/100)
  • • SUSTech English III: A+ (97/100)
🎓
Key Course Grades
Introduction to Computer Programming A (95/100)
Data Structures and Algorithms Analysis (Honor) A (95/100)
Principles of Database (Honor) A- (92/100)
Digital Logic A- (90/100)
Computer Organization A- (90/100)
Artificial Intelligence A- (90/100)
Algorithm Design and Analysis A (93/100)
Introduction to Theory of Computation A (93/100)
Discrete Mathematics (Honor) B (85/100)
Introduction to Mathematical Logic B+ (89/100)
Calculus A- (90/100)
College Physics A- (90/100)

Miscellaneous

🧮

Mathematics

I maintain a broad interest in discrete mathematics, probability, and theoretical computer science, which serve as the foundation for my research.

🎾

Sports

Tennis helps me maintain focus and strategic thinking outside of research.

♟️

Chess

Candidate Master title certified by the Chinese Chess Association; 3rd place in the 1st SUSTech Orientation Cup.

🎵

Music

Classical music and City-Pop; previously studied piano and passed ABRSM Grade 8, and currently exploring electric guitar.

🤝 Contact Me

I welcome discussions on research collaborations, academic opportunities, and related topics. Please reach out via email or any of the platforms below.

🎯 Quick Facts

Location: Shenzhen, Guangdong, China
Favorite Algorithm: Euclidean Algorithm
Favorite Open Problem: Karchmer-Raz-Wigderson Conjecture