Biography


I am a first-year PhD student at Rutgers University - New Brunswick. Fortunate to be advised by Prof. Chengzhi Mao, I am dedicated to bringing 3D Vision to the next stage, empowering it with spatial intelligence through Visual Language Models.

I have been working on Generative AI for 3D Vision, involving generation, inverse rendering, and geometric reconstruction problems. I had wonderful experiences during my internships at LightSpeed Studio Tencent, Microsoft Research Asia, and SmartMore. It has been my honor to collaborate with talented researchers at these institutions, including Yuhan Wang , Jinnan Chen, Jinglu Wang, Xiao Li , Shuai Yang and Jiangbo Lu.

Previously, I received my M.Phil. degree in Artificial Intelligence from HKUST, under the supervision of Prof. Yingcong Chen and Prof. Dan Xu and obtained my B.S. degree in Mathematics from SYSU.

Currently, I am working on Parallel and Spatial Reasoning of (V)LLMs.

🔥News


  • 2025.12:  We announced UltraShape 1.0, an open-source Large 3D Shape Generation Model. Technical Report and Code are available on the project page.
  • 2025.3:  I started my research intern at Tencent LIGHTSPEED STUDIOS, working on Large 3D Models. Collabrations are highly welcomed.
  • 2024.12:  I am looking for PhD position in 2025. Please contact me if you are interested.

Experience


    LightSpeed Studios Research, working on Large 3D Models
    Internship: Mar 2025 - Current
    Media Computing Group, working on Generalizable 3D Gaussian Splatting
    Stars of Tomorrow Internship: Jun 2024 - Feb 2025
    Optical Imaging Research Group, working on Neural 3D Reconstruction
    Internship: Jun 2022 - May 2024
    Sun Yat-sen University
    AI Lab, working on Biomedical Image Analysis
    Internship: Mar 2021 - Nov 2021

Publications [Google Scholar]


*: Equal Contribution

Tech Report
UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinement
Tanghui Jia, Dongyu Yan, Dehao Hao, Yang Li, Kaiyi Zhang, Xianyi He, Lanjiong Li, Jinnan Chen, Lutao Jiang, Qishen Yin, Long Quan, Ying-Cong Chen, Li Yuan
Technical Report. 2025
Arxiv 2025
UVRM: A Scalable 3D Reconstruction Model from Unposed Videos
Shiu-hong Kao, Xiao Li, Jinglu Wang, Yang Li, Chi-Keung Tang, Yu-Wing Tai, Yan Lu.
Arxiv Preprint. 2025
ICCV 2025
StreamGS: Online Generalizable Gaussian Splatting Reconstruction for Unposed Image Streams
Yang Li, Jinglu Wang, Lei Chu, Xiao Li, Shiu-Hong Kao, Yingcong Chen, Yan Lu.
International Conference on Computer Vision (ICCV). 2025
ICCVW 2025 Oral
SEED-Story: Multimodal Long Story Generation with Large Language Model
Shuai Yang, Yuying Ge, Yang Li, Yukang Chen, Yixiao Ge, Ying Shan, Yingcong Chen.
Oral, 1st Workshop on Human-Interactive Generation and Editing, International Conference on Computer Vision (ICCV). 2025
ICLR 2024
GNeRP: Gaussian guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors
Yang Li, Ruizheng Wu, Jiyong Li, Yingcong Chen.
International Conference on Learning Representations (ICLR), 2024.
AAAI 2024
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.
DCNet: Densely Connected Deep Convolutional Encoder Decoder Network for Nasopharyngeal Carcinoma Segmentation
Yang Li, Guanghui Han, Xiujian Liu.
Sensors 2021, 21(23), 7877.

Honors & Awards


PhD Scholarship in Computer Science, Rutgers University 2025
PhD Scholarship in Computer Science, Dartmouth College 2025
Stars of Tomorrow (Award of Excellent Intern), Microsoft Research Asia 2025
PhD Scholarship in ECE, Mila - Quebec AI Institute & McGill University 2024
Postgraduate Scholarship, HKUST, GZ 2022
Undergraduate Excellent Scholarship, SYSU 2019

Professional Services


Conference Reviewer:

NeurIPS 25'
ICLR 25', 26'
CVPR 25'
AISTATS 25', 26'
ICML 25'

Research Interests


    Generative 3D Vision
    Large Language Models for Vision


© Yang Li| Last updated: Nov. 2025