👋Hi there, I’m Zheng Huang!

About me

Currently, I am a a junior undergraduate student at Shanghai Jiao Tong University (SJTU). My research interests lie at the intersection of Computer Vision and Robotics, with a focus on Autonomous Driving and Embodied AI. I am particularly passionate about modeling the dynamic 3D world, leveraging deep generative models, representation learning, and multi-modal learning (including language).

Education

• 2023.9-present, Bachelor of Smart Energy, Shanghai Jiao Tong University
• 2020.9-2023.6, High School, The Affiliated High School of South China Normal University

Experience

Shanghai Jiao Tong University - Intelligent Robotics and Machine Vision Lab

Undergraduate Research Intern – Supervisor: Prof. He-Sheng Wang

2024.7 – 2025.11

• Build diffusion models for LiDAR point cloud generation
• Experiment on incorporating auto-regressive diffusion pattern into efficient point cloud generation
• Experiment on leveraging scene flow for improved dynamic scenes reconstruction
• Contribute to the experimental validation of DifFlow3D-Extension, a state-of-the-art 3D scene flow estimation method

Publication

TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation

Jiuming Liu*, Zheng Huang*, Mengmeng Liu, Tianchen Deng, Francesco Nex, Hao Cheng, Hesheng Wang

IROS, 2025. [ArXiv:2507.22454]