Hi there! I am a masterโs student at LIESMARS, Wuhan University , under the supervision of Prof. Zhen Dong, Prof. Bisheng Yang, Assistant Prof. Yuan Liu and Research Assistant Prof. Haiping Wang from HKUST
.
My current research focuses on 3D computer vision, with a particular emphasis on 3D scene understanding, 3D reconstruction, and 3D large language models (LLMs).
I am a member of WHU-USI3DV, please check advancements on point cloud processing including enhancement, registration, localization, segmentation, detection, etc.
๐ฅ News
- 2026.07: ๐๐๐ Paper LEGO: Leveled Language Gaussian Splatting is accepted by ECCV 2026!
- 2025.11: ๐พ๐พ๐พ Paper GAGS: Granularity-Aware 3D Feature Distillation for Gaussian Splatting is accepted by AAAI 2026!
- 2025.10: ๐ฅณ๐ฅณ๐ฅณ Paper The neural city: A next-generation spatio-temporal intelligence paradigm for urban holistic governance is accepted by The Innovation(IF:25.7)!
๐ Publications
LEGO: Leveled Language Gaussian Splatting
Yuning Peng, Haiping Wang, Yuan Liu, Yipeng Lu, Zhen Dong, Bisheng Yang
3D segmentation & Open-vocabulary Understanding
We introduce LEGO for advanced open-vocabulary scene understanding. Beyond basic concept recognition, its core innovation lies in capturing the intrinsic semantic hierarchies within the scene.
GAGS: Granularity-Aware 3D Feature Distillation for Gaussian Splatting
Yuning Peng*, Haiping Wang*, Yuan Liu, Chenglu Wen, Zhen Dong, Bisheng Yang
3D Open-vocabulary Understanding
We propose GAGS, a framework that distills 2D CLIP features into 3D Gaussian splatting, enabling open-vocabulary queries for renderings on arbitrary viewpoints.

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 Yangโ , Deren Li
Spatial Intelligence System
We outline Neural City to enable end-to-end urban governance, seamlessly linking raw urban data to holistic urban governance, achieving โ6W+4Rโ governance.

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
Remote Sensing Spatial Analysis
We propose a novel down-scaling method to map forest height and biomass at a 15-m resolution by integrating Landsat 8 OLI and Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) LiDAR data.
๐ Honors and Awards
- 2025.10 Excellent Academic Performance Scholarship of Wuhan University
- 2025.10 Excellence Award for Graduate Students of Wuhan University
- 2023.10 National Scholarship for Undergraduates (Top 3%)
- 2023.04 Innova Student Innovation Achievement Award of Wuhan University
- 2022.08 First Prize of โChina Software Cupโ College Student Software Design Competition (Rank 1)
๐ Educations
- 2024.09 - now, M.S. in Photogrammetry and Remote Sensing, Wuhan University.
- 2020.09 - 2024.06, B.S., Wuhan University.
๐ป Internships
- 2026.05 - now, Bytedance
, China.