About

I'm currently a PhD student in Electrical and Computer Engineering, Rutgers University, supervised by Prof. Yao Liu. My research focuses on immersive video streaming technologies, including streaming 3D Gaussian Splatting and Neural Radiance Fields (NeRF). My research projects address system challenges in delivering immersive experiences, such as bandwidth and computation limitations. I received my M.S. degree from Rutgers University in 2022 and my B.S. degree from the University of Electronic Science and Technology of China in 2021. I am committed to advancing technologies that enable more immersive virtual experiences through optimization.

Resume: CV

Education

• Doctor of Philosophy, Electrical and Computer Engineering, Rutgers, The State University of New Jersey 2022 - present
• M.S., Electrical and Computer Engineering, Rutgers, The State University of New Jersey 2020 - 2022
• B.S., Information and Communication Engineering, University of Electronic Science and Technology of China 2017 - 2021

 

Publications

2025

• SGSS: Streaming 6-DoF Navigation of Gaussian Splat Scenes
  Mufeng Zhu, Mingju Liu, Cunxi Yu, Cheng-Hsin Hsu, Yao Liu
  ACM 16th 2025 Multimedia Systems Conference (MMsys'25).
  Our code is avaiable now. symmru/SGSS

  FD

  IM

  DWO

  SGSS

• EyeNavGS: A 6-DoF Navigation Dataset and Record-n-Replay Software for Real-World 3DGS Scenes in VR
  Zihao Ding, Cheng-Tse Lee, Mufeng Zhu, Tao Guan, Yuan-Chun Sun, Cheng-Hsin Hsu, Yao Liu
  Our code and dataset are avaiable now. symmru

• LTS: A DASH Streaming System for Dynamic Multi-Layer 3D Gaussian Splatting Scenes
  Yuan-Chun Sun, Yuang Shi, Cheng-Tse Lee, Mufeng Zhu, Wei Tsang Ooi, Yao Liu, Chun-Ying Huang, Cheng-Hsin Hsu
  ACM 16th 2025 Multimedia Systems Conference (MMsys'25 Best Paper Award).

• Joint Learning of Point Clouds and Motion Vectors for Volumetric Video
  Cheng-Tse Lee, Yuang Shi, Yuan-Chun Sun, Mufeng Zhu, Wei Tsang Ooi, Yao Liu, Chun-Ying Huang, Cheng-Hsin Hsu
  Immersive Mixed and Virtual Environment Systems (MMVE'25).

2024

• Dynamic 6-DoF Volumetric Video Generation: Software Toolkit and Dataset
  Mufeng Zhu, Yuan-Chun Sun, Na Li, Jin Zhou, Songqing Chen, Cheng-Hsin Hsu, Yao Liu
  IEEE International Workshop on Multimedia Signal Processing (MMSP'24).
  Our code is avaiable now. symmru/software&dataset

• A Comparative Study of K-Planes vs. V-PCC for 6-DoF Volumetric Video Representation
  Na Li, Mufeng Zhu, Shuoqian Wang, Yao Liu
  Immersive Mixed and Virtual Environment Systems (MMVE'24).

2023

• Learning-based Homography Matrix Optimization for Dual-fisheye Video Stitching
  Mufeng Zhu, Yang Sui, Bo Yuan, Yao Liu
  ACM SIGCOMM Workshop on Emerging Multimedia Systems (EMS'23).
  Our code is available now. symmru/fisheye

• VQBA: Visual-Quality-Driven Bit Allocation for Low-Latency Point Cloud Streaming
  Shuoqian Wang, Mufeng Zhu, Na Li, Mengbai Xiao, Yao Liu
  ACM International Conference on Multimedia (MM'23).

Teaching experience

• 332:378/332:571: Virtual Reality & Technology
  Teaching Assistant and Lab Instructor, Spring 2023, Spring 2024, Spring 2025

• 332:351: Programming Methodology II
  Teaching Assistant, Fall 2022

Awards

• Paul Panayotatos Scholarship, Department of Electrical and Computer Engineering
  Rutgers University, 2025
  

• ECE Leadership and Service Award, Department of Electrical and Computer Engineering
  Rutgers University, 2025
  

• Best Teaching Assistant Award, Department of Electrical and Computer Engineering
  Rutgers University, 2023