Jialin Huang 黄佳琳

I am a PhD student in Computer Science at George Mason University, advised by Prof. Yotam Gingold, with expected graduation in Spring 2027. My research focuses on accessibility and human-computer interaction, particularly nonvisual 3D interaction, multimodal interfaces, and accessible creative tools.

My work includes ShapeSonic, which supports nonvisual 3D shape exploration through sound, HandMade, which combines VR sketches and language for generative 3D creation, and MoSound, an interactive tool for generative sound design in motion graphics. My long-term goal is to broaden participation in digital creation for people with disabilities, older adults, and communities underserved by current technologies.

Before GMU, I earned a B.S. in Applied Mathematics from the University of Science and Technology of China (USTC). I previously interned at Adobe Research (2024) with Rubaiat Habib Kazi, collaborating with Prem Seetharaman, Timothy Richard Langlois, and Li-Yi Wei.

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Jialin Huang

News
May 2026 Selected as a WiGRAPH Rising Star.
Mar 2026 MoSound received an Honourable Mention Award at CHI 2026.

Publications & Preprints
HandMade pipeline from 3D sketches and text through image generation and revision to reconstructed meshes, with example creations below
HandMade: Spatial Prompting for Generative 3D Creation with Part-Labeled VR Sketches
Jialin Huang, Rana Hanocka, Ariel Shamir, Yotam Gingold
Preprint, 2026
paper / project page

HandMade is a system that helps users turn their creative ideas into 3D assets, reducing the need for detailed manual modeling. Users combine rough 3D sketches with language to express their ideas, then refine generated images and select views for 3D reconstruction, bringing the result closer to their intended design.
MoSound interface for adding and controlling sound effects in motion graphics
MoSound: An Interactive Tool for Generative Sound Design in Motion Graphics
Jialin Huang, Prem Seetharaman, Timothy Richard Langlois, Li-Yi Wei, Rubaiat Habib Kazi, Yotam Gingold
CHI, 2026   ★ Honourable Mention Award
paper / project page

MoSound is an interactive system for adding sound effects to motion graphics videos. It detects key visual events, suggests short sound descriptions, and lets users map motion features (e.g., position and velocity) to audio properties (e.g., stereo panning and volume) to guide generative sound synthesis.

ShapeSonic maps fingertip interactions with virtual 3D shapes to audio feedback
ShapeSonic: Sonifying Fingertip Interactions for Non-Visual Virtual Shape Perception
Jialin Huang, Rana Hanocka, Alexa Siu, Yotam Gingold
SIGGRAPH Asia, 2023
paper / project page

ShapeSonic is a system designed to convey vivid 3D shape perception using purely audio feedback or sonification. ShapeSonic tracks users' fingertips in 3D and provides real-time sound feedback, based on a mass-produced, commodity hardware platform (Oculus Quest). In a study with 15 sighted and 6 BVI users, we demonstrate the value of ShapeSonic in shape landmark localization and recognition.


Website template from Jon Barron.