关于我About
Zhiqiang Luo
德克萨斯大学奥斯汀分校计算机科学博士生。研究方向包括智能体驱动的三维理解、几何表示，以及形状与拓扑优化。Ph.D. student in Computer Science at The University of Texas at Austin. My research spans agentic 3D understanding, geometric representations, and shape and topology optimization.
简介Profile
我在 UT Austin 攻读计算机科学博士，预计于 2029 年毕业，研究方向包括智能体驱动的三维理解、几何表示，以及形状与拓扑优化。我与 Qixing Huang、Etienne Vouga 教授合作开展研究。此前，我在清华大学自动化系获得工学学士学位，并在 Yebin Liu 教授指导下开展研究。I am a Computer Science Ph.D. student at UT Austin, with expected graduation in 2029. My research spans agentic 3D understanding, geometric representations, and shape and topology optimization. I work with Profs. Qixing Huang and Etienne Vouga. Previously, I earned a B.Eng. in Automation at Tsinghua University, where I conducted research with Prof. Yebin Liu.
教育经历Education
德克萨斯大学奥斯汀分校The University of Texas at Austin
计算机科学博士 · 预计 2029 年毕业 · 美国奥斯汀Ph.D. in Computer Science · Expected graduation: 2029 · Austin, Texas
清华大学Tsinghua University
自动化系 工学学士 · 北京 · GPA 3.87 / 4.00B.Eng. in Automation · Beijing · GPA 3.87 / 4.00
研究经历Research
可控角色绑定表示Controllable Rigging Representations
UT Austin · 导师：Qixing Huang 教授UT Austin · Advisor: Prof. Qixing Huang
- 研究可控角色绑定表示，在多种绑定分辨率下重建骨骼结构与蒙皮权重。Developing controllable rigging representations for reconstructing skeleton structure and skinning weights across multiple rig resolutions.
- 实现多分辨率绑定构建，利用运动响应优化关节位置和蒙皮权重；探索将动态数据整合作为后处理步骤。Implemented multi-resolution rig construction and motion-response refinement of joint positions and skinning weights; exploring dynamic-data integration as post-processing.
物理引导的网格分析与优化Physics-Guided Mesh Analysis and Optimization
UT Austin · 导师：Qixing Huang、Etienne Vouga 教授UT Austin · Advisors: Profs. Qixing Huang and Etienne Vouga
- 开发谱求解器，在 L2 载荷预算下识别结构薄弱区域与临界表面载荷，并与精确最坏情况应力分析进行对比评估。Developed a spectral solver to identify structural weak regions and critical surface loads under an L2 force budget, evaluated against exact worst-case stress analysis.
- 将临界载荷引入具有体积与位移约束的形状优化，在测试网格上降低应力集中。Integrated critical loads into shape optimization with volume and displacement constraints, demonstrating reduced stress concentrations on tested meshes.
面向数字服装资产的三维服装表示3D Garment Representation for Digital Clothing Assets
清华大学 · 导师：Yebin Liu 教授Tsinghua University · Advisor: Prof. Yebin Liu
- 研究用于真实感建模与动画的三维服装表示；复现并验证已有神经服装建模项目，获得与原始演示一致的结果。Studied 3D garment representations for realistic modeling and animation; reproduced and validated a prior neural garment modeling project with results consistent with its original demonstration.
- 开发基于点的服装表示，作为网格表示的替代方案，为后续结合三维高斯类图形表示提供基础。Developed a point-based alternative to mesh-based garment modeling, enabling future integration with 3D Gaussian-style graphics representations.
工作经历Experience
Galbot · 算法实习生Galbot · Algorithms Intern
三维场景与物体重建3D scene and object reconstruction
- 通过智能体辅助的物体分割、物体移除、背景补全与 3D Gaussian Splatting（3DGS），从视频重建三维高斯场景。Reconstructed 3D Gaussian scenes from video using agent-assisted object segmentation, object removal, background inpainting, and 3D Gaussian Splatting (3DGS).
- 以生成的漫游视频作为三维重建输入，从单张图像重建场景。Reconstructed scenes from single images using generated walkthrough videos as input to 3D reconstruction.
- 使用 SAM3D 等方法重建分割后的物体，与背景场景重建互为补充。Reconstructed segmented objects using methods such as SAM3D, complementing background scene reconstruction.
计算机图形学课程助教 · UT AustinTeaching Assistant, Computer Graphics · UT Austin
C S 354H Computer Graphics: Honors · 计算机科学系 · 美国奥斯汀C S 354H Computer Graphics: Honors · Department of Computer Science · Austin, Texas
专业技能Technical skills
- Python、MATLAB、C、C++Python, MATLAB, C, C++
- 网格处理、角色绑定、蒙皮、服装建模、三维形状表示Mesh processing, character rigging, skinning, garment modeling, 3D shape representation
- 高效仿真、形状优化、应力感知网格分析Efficient simulation, shape optimization, stress-aware mesh analysis
- 数字角色、虚拟服装、面向动画的资产、影视与游戏制作Digital characters, virtual clothing, animation-ready assets, film and game production