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, Computer Graphics, and Machine Learning.

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

Deformable Beta Splatting

Rong Liu*, Dylan Sun*, Meida Chen, Yue Wang†, Andrew Feng†

2025 ACM Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH 2025)

Deformable Beta Splatting introduces deformable Beta Kernels with adaptive frequency control for both geometry and color encoding, capturing complex geometries and lighting while only using 45% parameters and rendering 1.5x faster than 3DGS-MCMC.

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)

A real-time monocular SLAM system that fuses 3D Gaussian Splatting with SLAM’s dynamic depth and pose updates via SLAM-Informed Adaptive Densification and Geometry-Guided Optimization.

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)

AtomGS proposes an atomized proliferation of Gaussians and edge-aware normal loss to refine Gaussian splatting, boosting geometric precision and rendering fidelity in novel-view synthesis.

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

A UAV-swarm–enabled deep transfer learning framework that fuses radar pulses across time and space to accurately classify and sort complex radar signals.

Project

Gaussian Splatting Monitor

Rong Liu, Shuyang Zhang, Ning Nie

A real-time tool that provides additional differentiable outputs for visualizing and diagnosing 3D Gaussian Splatting pipelines.

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

A lightweight style transfer network that learns instance-adaptive photorealistic transfer on-the-fly and scales effortlessly to high-resolution images and videos.

Experience

Research Intern

June 2025 - Present

Supervisor: Dr. Zhongpai Gao

United Imaging Intelligence

Supervisor: Dr. Zhongpai Gao

June 2025 - Present

Research Engineer

May 2024 - Present

Supervisor: Dr. Andrew Feng

USC Institute for Creative Technologies

Supervisor: Dr. Andrew Feng

May 2024 - Present

  • Deformable Beta Splatting
  • SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting

Research Assistant

August 2023 - May 2024

Supervisor: Dr. Andrew Feng

USC Institute for Creative Technologies

Supervisor: Dr. Andrew Feng

August 2023 - May 2024

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

Research Intern

May 2023 - August 2023

Supervisor: Dr. Andrew Feng

USC Institute for Creative Technologies

Supervisor: Dr. Andrew Feng

May 2023 - August 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