Yixin Ma

Undergraduate Student in Computer Science and Technology
School of Computer Science and Technology, Tiangong University

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School of Computer Science and Technology

Tiangong University

morningkay37@gmail.com

I am an undergraduate student majoring in Computer Science and Technology at Tiangong University. My research interests include Natural Language Processing and Large Language Models.

I am interested in building language models and intelligent systems that can better understand, reason, and interact with humans.

Education

Shandong University, School of Artificial Intelligence

Provisional admission to a master’s program through recommendation, with exemption from the national entrance examination.

Tiangong University (formerly Tianjin Polytechnic University)

B.Eng. in Computer Science and Technology, 2023 - Present.

  • Rank: 1st.
  • Selected for the Excellent Manager Training Program, a university-level program with only about 2% of students selected from each school.
  • Minor in Business Administration.

Research Interests

Natural Language Processing; Large Language Models.

Awards & Honors

  • Subtask 1 of AvaMERG Grand Challenge at ACM MM 2025, Champion Award
  • Subtask 2 of AvaMERG Grand Challenge at ACM MM 2025, 3rd Place Award
  • MCM/ICM Meritorious Winner
  • Tianjin Municipal People’s Government Scholarship. Note: only 2 junior undergraduate students in the school were selected.
  • National Scholarship. Note: only 4 fourth-year undergraduate students in the school were selected.

Projects

  • Iceberg

    Iceberg is a project exploring empathetic dialogue generation with large language models. It focuses on modeling deeper emotional states and hidden user needs through an iceberg-style framework.

    In this project, I worked on user-agent simulation, dialogue-stage modeling, reward design, and training pipelines for more emotionally aware dialogue agents.

  • CS336 Assignment

    This project is a from-scratch implementation of core components of a Transformer language model, following the Stanford CS336 assignment series.

    I implemented modules such as linear layers, embeddings, RMSNorm, SwiGLU, rotary position embeddings, multi-head self-attention, training utilities, optimizer logic, learning-rate scheduling, gradient clipping, and checkpointing.

News

[2025.08] Received the 3rd Place Award in Subtask 2 of the AvaMERG Grand Challenge at ACM MM 2025.
[2025.08] Received the Champion Award in Subtask 1 of the AvaMERG Grand Challenge at ACM MM 2025.

Contact

Email: morningkay37@gmail.com