Scholar
Junliang Ye
Google Scholar ID: TKpuiuIAAAAJ
Tsinghua University
Citations & Impact
Citations
143
H-index
4
i10-index
4
Publications
7
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - One paper on 3D-MLLM accepted by NeurIPS 2025
- - One paper on 3D Vision accepted by TPAMI 2025
- - One paper on 3D Vision accepted by ICCV 2025
- - Two papers on 3D AIGC accepted by ECCV 2024
- Preprints include:
- - DeepMesh-v2: Auto-Regressive Artist-Mesh Creation With Reinforcement Learning
- - Part-X-MLLM: Part-aware 3D Multimodal Large Language Model
- - NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks
- Other notable research works:
- - ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
- - DeepMesh: Auto-Regressive Artist-Mesh Creation With Reinforcement Learning
- - DreamReward-X: Boosting High-Quality 3D Generation with Human Preference Alignment
- - DreamReward: Aligning Human Preference in Text-to-3D Generation
- - AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation
Research Experience
- No specific work experience or research projects mentioned.
Education
- Obtained B.S. in the School of Mathematical Sciences at Peking University in 2022; currently a third-year master's student in the Department of Computer Science at Tsinghua University, advised by Prof. Jun Zhu.
Background
- Research interests include computer vision (e.g., 3D AIGC and video generation), multimodal large models (e.g., native large models), and reinforcement learning from human feedback (DPO, GRPO). Email: yejl23@mails.tsinghua.edu.cn.
Miscellany
- No personal interests or hobbies mentioned.
