Yuning Peng3D vision · Spatial intelligence
Ways of seeing

Exploring how machines see, understand, and interact with our world.

A living room suspended in darkness, reconstructed as a field of light.
A different perspective is one click away.
A room. More than meets the eye.Scroll to discover

Info

I study how machines perceive
and understand the world in 3D.

I am a master’s student at LIESMARS, Wuhan University , supervised here by Zhen Dong and Bisheng Yang , and co-supervised by Yuan Liu and Haiping Wang at HKUST .

My research spans 3D scene understanding, reconstruction, and large language models. I am part of WHU-USI3DV .

Education

2024 — present
M.S. · Photogrammetry & Remote Sensing
Wuhan University

2020 — 2024
B.S. · Wuhan University

Recognition

  • 2025Excellent Academic Performance Scholarship, Wuhan University
  • 2025Excellence Award for Graduate Students, Wuhan University
  • 2023National Scholarship for Undergraduates · Top 3%
  • 2023Innova Student Innovation Achievement Award, Wuhan University
  • 2022First Prize, China Software Cup · Rank 1

News

  1. LifePlanner is now on arXiv.
  2. LEGO accepted to ECCV 2026.
  3. GAGS accepted to AAAI 2026.
  4. The Neural City accepted to The Innovation.

Works

From observations
to understanding.

LifePlanner: Evaluating LLM Agents for Geo-spatial Planning with Social Media Data

Zhen Dong*, Yuning Peng*, Yutao Shi, Lei Zhong, Yongsen Mao, Yuan Liu, Haiping Wang†

A benchmark that connects maps with local social-media evidence to evaluate LLM agents across four geo-spatial planning tasks and three difficulty levels.

LEGO: Leveled Language Gaussian Splatting

Yuning Peng, Haiping Wang, Yuan Liu, Yipeng Lu, Zhen Dong, Bisheng Yang

Understanding a scene from objects to their parts: a leveled 3D representation for open-vocabulary and relational queries.

GAGS: Granularity-Aware 3D Feature Distillation for Gaussian Splatting

Yuning Peng*, Haiping Wang*, Yuan Liu, Chenglu Wen, Zhen Dong, Bisheng Yang

Distilling 2D CLIP features into Gaussian splatting with adaptive granularity, enabling open-vocabulary queries from arbitrary viewpoints.

neural-city research overview

The Neural City: A Next-generation Spatio-Temporal Intelligence Paradigm for Urban Holistic Governance

Zhen Dong, Haiping Wang, Zhe Chen, Chen Long, Yuning Peng, Yuan Liu, Fuxun Liang, Jian Zhou, Yiping Chen, Fan Zhang, Bisheng Yang†, Deren Li

A framework connecting raw urban observations with holistic urban governance through the “6W+4R” paradigm.

forest research overview

Fine-Resolution Forest Height Estimation by Integrating ICESat-2 and Landsat 8 OLI Data with a Spatial Downscaling Method for Aboveground Biomass Quantification

Yingxuan Wang*, Yuning Peng*, Xudong Hu, Penglin Zhang

Mapping forest height and aboveground biomass at 15-m resolution by combining satellite imagery and spaceborne LiDAR.

* Equal contribution · † Corresponding author

ByteDance

ByteDance

Research Intern · Hangzhou, China

Developed a Reinforcement Learning post-training pipeline for autoregressive 3D mesh generation models, designing reward functions to systematically optimize the geometric fidelity, topological correctness, and visual aesthetics of the generated meshes.

Built a scalable pre-training data curation pipeline by developing geometry-based filtering operators for targeted failure modes and a VLM-based auto-annotation framework through instruction tuning and prompt engineering.

Arts

Another way
of seeing.

Between the shape of the land
and the traces we leave.

Three ways of lookingSelected photographs
Two passing seasonsA different light. A different hour.

Photographs by Yuning Peng Light, space, and the intervals between.