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- Chenfanfu Jiang - UCLA Mathematics
Bio: Chenfanfu Jiang is a Professor of Mathematics and the director of the Artificial Intelligence and Visual Computing (AIVC) Lab at UCLA He primarily works on 3D visual computing, physical AI, 3D generative AI and embodied AI
- Chenfanfu Jiang - Google Scholar
Johan Gaume Associate Professor, ETH Zürich Group Head at the WSL Institute for Snow and Avalanche Research SLF Incremental potential contact: intersection-and inversion-free, large-deformation
- 万字长文！UCLA蒋陈凡夫12年自我回顾，图形学的终极浪漫
【新智元导读】UCLA应用数学副教授蒋陈凡夫写下万字长文，回顾了从转系生到终身教授十二年的自我历程。 最近评上tenure，有人来祝贺：”Now you can freely decline review requests!”。 我想了想，似乎对心态上的改变确实如此而已。 又想到也许可以写个什么纪念一下。 那这19岁到31岁，有什么拿来回味的没有？ 好像有很多，但不整理一下的话，又不知从何说起。 那还是直接写一点吧。 从物理本科，到CS PhD，CS教职，又在数学tenure，这看似曲折的十二年竟是在做同样的研究，一年都没有浪费。 一路走来，有很多东西值得缅怀和总结，也许能帮助思考未来。 顺便把这一路干过的牛逼的事，和遇到过的牛逼的人都写下来，看着应该很舒爽。 第〇章：我的三叉戟
- Chenfanfu Jiang - PKU CoRe Lab
Latest [NeurIPS25] Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation [Engineering23] A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps [IJNME21] Lagrangian‐Eulerian Multi‐Density Topology Optimization with the Material Point Method [SIGGRAPH20] A Massively Parallel and Scalable Multi-GPU Material Point Method [SIGGRAPH20] IQ-MPM
- Chenfanfu JIANG | Professor (Associate) | Doctor of Philosophy . . .
We present a generalized constitutive model for versatile physics simulation of inviscid fluids, Newtonian viscosity, hyperelasticity, viscoplasticity, elastoplasticity, and other physical effects
- Chenfanfu Jiang (0000-0003-3506-0583) - ORCID
Proceedings of the ACM on Computer Graphics and Interactive Techniques 2025-05-22 | Journal article DOI: 10 1145 3728298 Contributors: Shiguang Liu; Maolin Wu; Chenfanfu Jiang; Yisheng Zhang Show more detail Source: check_circle Crossref
- cffjiang (Chenfanfu Jiang) · GitHub
If the problem persists, check the GitHub status page or contact support cffjiang has 10 repositories available Follow their code on GitHub
- Chenfanfu Jiang: Curriculum Vitae - UCLA Mathematics
He has developed well-known physics-based simulation methods such as APIC, MLS-MPM, and IPC His research has been supported by NSF, DOE, Toyota, Amazon, Style3D, SideFX, Sony, Adobe, Snap, and NVIDIA
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