Summary
Overview
Work History
Education
Skills
Timeline
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Tianyi Ma

Penshurst,NSW

Summary

Passionate AI researcher with a strong background in deep learning, computer vision, and multimedia. Extensive experience in developing and deploying machine learning models for multi-modal learning, few-shot learning, and domain adaptation. Published research at top-tier conferences, including CVPR, CHI, IJCAI, and WACV, with contributions in knowledge disentanglement, efficient adaptation mechanisms, and AI-driven applications. Skilled in building custom datasets, optimizing model performance, and deploying AI solutions in diverse environments. Experienced in mentoring students, leading workshops, and collaborating on interdisciplinary projects. Proficient in Python, PyTorch, TensorFlow, and various development frameworks. Currently completing a PhD in AI, focusing on lifelong continual test-time adaptation. Looking for opportunities to drive AI innovation and research excellence at TikTok.

Overview

5
5
years of professional experience

Work History

Tutor for Computer Science Workshop

University of Technology Sydney, Broadway
03.2024 - Current
  • Introduced students to research methodologies and best practices in computer science.
  • Explained fundamental literature review techniques to help students analyze and synthesize existing research.
  • Assisted students in identifying and selecting feasible datasets for their research tasks.
  • Guided students in setting up experimental environments, ensuring proper configuration for their research projects.
  • Provided support in research paper writing, helping students structure and articulate their findings effectively.

Intern Researcher

Baidu Inc.
09.2020 - 12.2021
  • Developed deep learning models for multi-modal learning and few-shot learning.
  • Processed raw data and constructed a custom multi-modal dataset incorporating audio, text descriptions, key frames, and optical flow from YouTube videos.
  • Deployed deep learning models across various web server environments.
  • Collected and analyzed experimental data from test runs, identifying key patterns and insights.
  • Summarized results and conducted in-depth analyses of experimental findings.
  • Authored comprehensive reports and contributed to research papers.

Education

Ph.D. - Computer Science And Technology

University of Technology Sydney
Sydney, NSW
12-2025

Bachelor of Science - Computer Science And Technology

Tsinghua University
Beijing, China
06-2021

Skills

  • Coding Language: Python, C, C#, Java, JavaScript, Sh
  • Software: PyTorch, TensorFlow, Anaconda, Docker, Unity
  • Academic Paper Writing With Latex, Word
  • Data Processing
  • Data analysis
  • Creative thinking
  • Collaboration and teamwork
  • Presentation

Timeline

Tutor for Computer Science Workshop

University of Technology Sydney, Broadway
03.2024 - Current

Intern Researcher

Baidu Inc.
09.2020 - 12.2021

Ph.D. - Computer Science And Technology

University of Technology Sydney

Bachelor of Science - Computer Science And Technology

Tsinghua University
Tianyi Ma