About
I am a first-year CS Ph.D. student at Texas A&M University, supervised by Prof. Wenping Wang and Prof. Xin Li. I received my B.Eng. from Southwest Jiaotong University (CN) and B.Sc. from University of Leeds (UK) with First-class Degree, Outstanding Graduates of Sichuan Province and Best Bachelor Thesis in 2024. Furthermore, I’m a research intern in University of California, Merced, working with Dr. Lu Qi and Dr. Xueting Li, under the supervision of Prof. Ming-Hsuan Yang. Previously, I worked with Prof. Xinke Li, advised by Prof. Chongshou Li in SWJTU.
My research interests mainly focus on 3D vision and scene generation. I'm always open to discussing ideas and insights with others. If you'd like to chat, please reach out to my email.
News
2024
July
🎉 Our work Pyramid Diffusion for Fine 3D Large Scene Generation is accepted by ECCV 2024!
2024
June
🥰 I graduated from SWJTU with Outstanding Graduates of Sichuan Province and Best Bachelor Thesis, and University of Leeds with First-class Degree!
2024
April
🥳 I will join Prof. Wenping Wang and Prof. Xin Li's group at TAMU as a Ph.D. student this fall.
2024
February
Our work 'Deep Hierarchical Learning for 3D Semantic Segmentation' is submitted. Access to our Project Page for more details.
2023
November
Our work 'Pyramid Diffusion for Fine 3D Large Scene Generation' is on arXiv.
2023
November
Our work 'Pyramid Diffusion for Fine 3D Large Scene Generation' is submitted. Access to our Project Page for more details.
2023
October
Awarded a national scholarship (top 0.2% nationwide).
2023
September
Ranked first in my major during my junior year.
Research & Publications
Pyramid Diffusion for Fine 3D Large Scene Generation
Yuheng Liu, Xinke Li, Xueting Li, Lu Qi, Chongshou Li, Ming-Hsuan Yang
ECCV 2024
This work uses a coarse-to-fine approach with scale-varied diffusion models to generate high-quality outdoor scenes. It successfully generates 3D scenes both unconditionally and conditionally, and it allows for easy fine-tuning across different datasets and generating infinite scenes.
Deep Hierarchical Learning for 3D Semantic Segmentation
Chongshou Li, Yuheng Liu, Xinke Li, Yuning Zhang, Tianrui Li, Junsong Yuan
Under Review, 2024
This work introduces Deep Hierarchical Learning (DHL) for 3D data, enhancing hierarchical embedding learning and class hierarchy construction for effective 3D object and scene segmentation.
Experience
Texas A&M University
Aug 2024 - present · CS Ph.D. Student
Research Area: Computer Vision, 3D Vision, Scene Generation
Supervisors: Prof. Wenping Wang & Prof. Xin Li
University of California, Merced
Jun 2023 - present · Research Assistant
Research Area: Diffusion Model, Out-door Scene Generation
Supervisor: Prof. Ming-Hsuan Yang
University of Leeds
Sep 2020 - Jun 2024 · Undergraduate
B.Sc. in Computer Science
Graduated with First-class Degree
Southwest Jiaotong University
Sep 2020 - Jun 2024 · Undergraduate
B.Eng. in Computer Science
GPA: 91.02 / 100 (ranked 1 / 73 in year-2 and year-3)
Graduated with Outstanding Graduates of Sichuan Province & Best Bachelor Thesis
Honors & Awards
First-class Degree in Leeds, UK, 2024
Provincial Outstanding Graduate (top 3%), Sichuan Province, 2024
Outstanding Bachelor Thesis (top 1.5%, 1 student in major), SWJTU, 2024
National Scholarship (top 0.2% nationwide), Ministry of Education of the People's Republic of China, 2023
Pacemaker to Merit Student Award (top 1%), SWJTU, 2023
Lan Qiao Cup, Provincial First Prize, Sichuan Province, 2023
Collage Special First Prize Scholarship (top 1%, 1 student in major), SWJTU, 2022
Merit Student Award (top 5%), SWJTU, 2022
Chinese Computer Design Competition (Team Leader), National Second Prize, China, 2022
Comprehensive Scholarship, Third Prize, SWJTU, 2021