- 'Learning Unified Representation of 3D Gaussian Splatting' (submitted)
- 'Controllable 3D Outdoor Scene Generation via Scene Graphs' (accepted by ICCV 2025)
- 'Enhancing Sampling Protocol for Robust Point Cloud Classification' (accepted by IJCAI 2025)
- 'Deep Hierarchical Learning for 3D Semantic Segmentation' (accepted by IJCV)
- 'Pyramid Diffusion for Fine 3D Large Scene Generation' (accepted by ECCV 2024 and oral presentation)
- Open Source Project: PointSegBase (official codebase for Deep Hierarchical Learning for 3D Semantic Segmentation)
- Awards:
- Best Student Award (September 2024)
- National Scholarship (November 2023, top 0.2% nationwide)
- Outstanding Graduate (Sichuan Province, June 2024)
- Best Bachelor Thesis (June 2024)
- Ranked first in major (September 2023, junior year)
Research Experience
- Research Intern: Adobe Research
- Collaborators: Dr. Yiwei Hu, Dr. Zifan Shi
- Close Collaboration: Prof. Xinke Li
- Research Intern: UC Merced
- Collaborators: Prof. Lu Qi, Dr. Xueting Li
- Supervisor: Prof. Ming-Hsuan Yang
Education
- Degree: CS Ph.D. student
- University: UC Irvine
- Advisors: Prof. Xiaohui Xie, Prof. Alexander C. Berg
- Time: Fall 2025
- Bachelor's Degrees: B.Eng. from Southwest Jiaotong University and B.Sc. from University of Leeds
- Graduation: 2024
- Advisor: Prof. Chongshou Li
Background
- Research Interests: 3D vision and scene generation
- Current Work: Scene generation through video generation techniques, aiming to construct controllable and photorealistic environments that support large-scale exploration