About me

I’m a third-year undergraduate student (expected graduate year: 2027) at The Hong Kong University of Science and Technology (HKUST), majoring in Computer Science with a second major in Mathematics.

My research interests include:

  • Machine Learning System (MLSys), mainly focusing on designing efficient CUDA kernels and using LLMs to help develop ML systems.
  • Cuda Kernel Generation, Using LLMs to generate correct and efficient CUDA kernels.
  • LLM Reasoning and Chain of Thought (CoT), especially focusing on the reasoning process of code generation.

I will be an exchange student at École Polytechnique Fédérale de Lausanne (EPFL).

My email is lkongam [at] connect [dot] ust [dot] hk


Education

The Hong Kong University of Science and Technology (HKUST)
BSc in Computer Science, Second Major in Mathematics 2023 – 2027

Stanford University
Visiting Student, Summer Session
June 2024 – August 2024

École Polytechnique Fédérale de Lausanne (EPFL)
Exchange Student
September 2025 – January 2026

Research Experience

Encode Lab, Westlake University
Research Intern
Supervised by Professor Huan Wang

May 2025 - Current

HKUST Under Graduate Research Project
Collaborated with the CAIR Hong Kong team (Chinese Academy of Sciences)
Directed by Professor Lei Chenyang; supervised by Professor Qifeng Chen

December 2024 - March 2025

Publications

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation
Lingcheng Kong, Jiateng Wei, Hanzhang Shen, Huan Wang
Preprint · Arxiv · Model