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Jiarong Gong

PhD student

I am a PhD student working on Gaussian Splatting, a fast and photorealistic way to represent and render 3D scenes. My research aims to make 3D and 4D (dynamic) scene representations both higher quality and more compact.

Presentation

I am a PhD student in the Media and Information Technology (MIT) division at the Department of Science and Technology (ITN), Linköping University, supervised by Jonas Unger and Ehsan Miandji. My research focuses on Gaussian Splatting, covering rendering-quality improvement for 3D and dynamic 4D scenes as well as compression and efficiency of Gaussian-based representations. I started my PhD in January 2025 within the Wallenberg AI, Autonomous Systems and Software Program (WASP).

Publications

2026

Jiarong Gong, Jonas Unger, Ehsan Miandji (2026) Post-Training Dictionary Learning for Compact and Ultra-Fast 3D Gaussian Splatting (Conference paper) https://dx.doi.org/10.1145/3829339.3847811
Jiarong Gong, Jonas Unger, Ehsan Miandji (2026) Smaller and Faster 3DGS via Post-Training Dictionary Learning EG 2026 - POSTERS (Conference paper) https://dx.doi.org/10.2312/egp.20261016
Jiarong Gong, Jonas Unger, Ehsan Miandji (2026) Smaller and Faster 3DGS via Post-Training Dictionary Learning (Conference paper)
Jiarong Gong, Jonas Unger, Ehsan Miandji (2026) Smaller and Faster 3DGS via Post-Training Dictionary Learning (Conference paper)

Research

Ett metallföremål med tre kulor som hänger från sidorna.

Visual and Interactive AI

We work at the intersection of computer graphics, AI-driven visualization, computer vision, and machine learning to address complex scientific challenges.
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WASP at Department of Science and Technology (ITN)

Our research environment is located at the division of Media and Information Technology on Campus Norrköping. Our work draws on 20 years of research, focusing on visualization and interaction in the context of AI, autonomous systems and software.

Organisation

Inside Wadströms Exploranation Laboratory

Media and Information Technology

Develops edge competence in visual AI, visualization, graphics and human-centered tech with strong human-in-the-loop focus. Combines research excellence with national and international collaboration for societal impact.
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Department of Science and Technology (ITN)

We research and teach in several technical and scientific disciplines in which our main areas are organic electronics, media, communications and logistics.