Rong Liu

Research Engineer

USC Institute for Creative Technologies

Email: rliu8691@usc.edu
Github: https://github.com/RongLiu-Leo
Website: https://rongliu-leo.github.io

About Me

I’m a Research Engineer affiliated with the USC Institute for Creative Technologies, and my research passion lies in the intersection of Computer Vision and Machine Learning.

Currently, my primary focus is on projects related to 3D vision, with a special emphasis on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting.

Education

University of Southern California

August 2022 - May 2024

Master of Science in Computer Science (Honors)

August 2022 - May 2024

GPA: 4.0/4.0

Dalian University of Technology

September 2018 - June 2022

Bachelor of Engineering in Computer Engineering

September 2018 - June 2022

GPA: 88/100

Publication

SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting

Yue Hu, Rong Liu, Meida Chen, Peter Beerel, Andrew Feng

2025 ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D 2025)

📄 Paper

AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field

Rong Liu, Rui Xu, Yue Hu, Meida Chen, Andrew Feng

35th British Machine Vision Conference 2024 (BMVC 2024)

🌐 Website | 📄 Paper | 💻 Code | 🖼️ Poster

UAV swarm based radar signal sorting via multi-source data fusion: A deep transfer learning framework

Liangtian Wan, Rong Liu, Lu Sun, Hansong Nie, Xianpeng Wang

Information Fusion. 78 (2022): 90-101

📄 Paper | 📜 Patent

Project

Gaussian Splatting Monitor

We aim to extend 3D Gaussian Splatting, currently limited to RGB rendering and loss, by incorporating differentiable outputs inspired by the versatile Neural Radiance Fields (NeRF), thus enabling advanced research and novel loss functions for improved volumetric analysis.

🌐 Website | 💻 Code

Universal Photorealistic Style Transfer: A Lightweight and Adaptive Approach

Rong Liu, Enyu Zhao, Zhiyuan Liu, Andrew Feng, Scott John Easley

Pre-Print arXiv:2309.10011

🌐 Website | 📄 Paper | 💻 Code

Experience

Research Engineer

Aug 2023 - Present

Supervisor: Dr. Andrew Feng

USC Institute for Creative Technologies

Supervisor: Dr. Andrew Feng

Aug 2023 - Present

Research Assistant

Aug 2023 - May 2024

Supervisor: Dr. Andrew Feng

USC Institute for Creative Technologies

Supervisor: Dr. Andrew Feng

Aug 2023 - May 2024

  • 3D Gaussian Splatting
  • Atomizing Gaussian Splatting for High-Fidelity Radiance Field

Research Intern

May 2023 - Aug 2023

Supervisor: Dr. Andrew Feng

USC Institute for Creative Technologies

Supervisor: Dr. Andrew Feng

May 2023 - Aug 2023

  • Neural Radiance Fields (NeRF)
  • Scalable NeRF on large terrain datasets

Research Assistant

July 2020 - July 2022

Supervisor: Prof. Liangtian Wan

Dalian University of Technology

Supervisor: Prof. Liangtian Wan

July 2020 - July 2022

  • Objective Detection (RCNN and YOLO)
  • Transfer Learning

Teaching Assistant

September 2021 - June 2022

Dalian University of Technology

September 2021 - June 2022

  • Program Design Basics and C Programming
  • Object-Oriented Method and C++ Program Design

Research Engineer

Aug 2023 - Present

Supervisor: Dr. Andrew Feng

USC Institute for Creative Technologies

Supervisor: Dr. Andrew Feng

Aug 2023 - Present

Research Assistant

Aug 2023 - May 2024

Supervisor: Dr. Andrew Feng

USC Institute for Creative Technologies

Supervisor: Dr. Andrew Feng

Aug 2023 - May 2024

  • 3D Gaussian Splatting
  • Atomizing Gaussian Splatting for High-Fidelity Radiance Field

Research Intern

May 2023 - Aug 2023

Supervisor: Dr. Andrew Feng

USC Institute for Creative Technologies

Supervisor: Dr. Andrew Feng

May 2023 - Aug 2023

  • Neural Radiance Fields (NeRF)
  • Scalable NeRF on large terrain datasets

Research Assistant

July 2020 - July 2022

Supervisor: Prof. Liangtian Wan

Dalian University of Technology

Supervisor: Prof. Liangtian Wan

July 2020 - July 2022

  • Objective Detection (RCNN and YOLO)
  • Transfer Learning

Teaching Assistant

September 2021 - June 2022

Dalian University of Technology

September 2021 - June 2022

  • Program Design Basics and C Programming
  • Object-Oriented Method and C++ Program Design

Awards

  • Computer Science Master’s Student Honors Merit - University of Southern California (USC), 2024

  • DUT Outstanding Undergraduate Thesis - Dalian University of Technology (DUT), 2022

  • First Prize in the National Artificial Intelligence Knowledge Competition for College Students - JiangSu Association of Artificial Intelligence (JSAI), 2020

  • Meritorious Winner in Mathematical Contest in Modeling - Consortium for Mathematics and Its Applications (COMAP), 2019