Runkang Yang

Runkang Yang

An undergraduate junior at ShanghaiTech University

About me

Hello! My name is Runkang Yang from Jiaozuo, Henan in China 🐾, and I am currently a senior at ShanghaiTech University, majoring in Computer Science and Technology🖥️.

During my undergraduate studies, I had the honor of being a research intern at the LINs Lab, where I focused on data-efficient AI 🚀 and generative AI 🎨 under the guidance of Prof. Tao Lin at Westlake University. Additionally, I was privileged to work as a research intern at TeleAI, focusing on visual understanding for Multimodal Large Language Models (MLLM) 🤖, supervised by Prof. Dell Zhang.

I am also a candidate for the joint Ph.D. program between Fudan University and BYD. Currently, I am a research intern at the FD-LAMT Lab, supervised by Prof. Wei Li at Fudan University. My research focuses on Computer Audition 🔊 and Music AI 🎶.

News

Academic Background

As a student at ShanghaiTech University, I have had the privilege of engaging with a diverse array of courses and projects that have solidified my foundation in computer science. 🐳 My coursework has spanned topics such as Computer Programming (A), Probability and Statistics (A), Artificial Intelligence (A-), Machine Learning (A+), Nature Language Processing (A-), Computer Architecture (A-), Software Engineering (A), Database (A+), and so on, providing me with a broad and comprehensive understanding of the field. 📚

Publications

  • [Preprint] Equally Critical: Samples, Targets, and Their Mappings in Datasets.
    Runkang Yang, Peng Sun, Xinyi Shang, Yi Tang, Tao Lin*.
    2025.05.17 [Arxiv] [GitHub]

Research Experience

  • Westlake University, Learning and Inference System (LINs) Lab 🧐 Aug. 2024 - present

    • Redefine equally critical data properties from sample-target mapping and propose actionable insights to enhance training efficiency.
    • Fine tuning Diffusion model (DiT/SiT) for out-of-knowledge image synthesis.
    • Scaling inference-time optimization for (T2I) diffusion models.

Internship Experience

  • Institute of Artificial Intelligence, China Telecom (TeleAI) 🧑‍💻 Jun. 2025 - Sep.2025
    • Video compression for visual understanding.
    • Memory System for MLLM.

Exchange Experience

  • National University of Singapore (NUS) - School of Computing(SoC) 👣 July 2024

    • Attended lectures and conducted lab sessions on deep learning topics, focusing on neural networks and AI applications. ⚗️
    • Engaged in deep learning projects, developed a deep learning model for image recognition tasks. 🔎
    • Final Grade: A+

Awards and Honors

  • The Third Prize in the 2025 China Physiological Signal Challenge.
  • Outstanding Student for the 2023-2024 academic year in ShanghaiTech (Top 10%).
  • The third prize in the 2024 China Undergraduate Mathematical Contest in Modeling (CUMCM).
  • The third prize in the 2024 National Undergraduate Electronic Design Contest (NUEDC).
  • The third prize in the 15th Chinese Mathematics Competitions (CMC).

Personal Skills

  • Technical Skills
    • Programming Languages: Python, C, C++, RISC-V
    • Tools and Frameworks: PyTorch, TensorFlow
    • Databases: SQL
    • Data Analysis: Pandas, NumPy
    • Data Visualization: Matplotlib
    • Version Control: Git, GitHub
    • Hardware Skills: Multisim, Logisim
  • Other Skills
    • Documentation: Microsoft Office, LaTeX
    • Language: CET-4, CET-6

Student Work Experience

  • Teaching assistant

    • CS150A (Database) Fall 2024

  • Student assistant

    • [Sep. 2022 - present] News Center at ShanghaiTech University. Primarily work on editing and managing content for the university’s official WeChat account, promoting online campus communication.

Personal Interests

Beyond academics, I am an avid reader and enjoy staying updated with the latest research and technological developments.🐬 In my free time, I enjoy singing, painting, and traveling, which provide a creative outlet and help me maintain a balanced lifestyle. 🥸

Last modified: June. 2025