Yifei Li

ORCID: 0000-0002-3770-0575
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About
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Research Areas
  • Manufacturing Process and Optimization
  • 3D Shape Modeling and Analysis
  • Concrete and Cement Materials Research
  • Structural Health Monitoring Techniques
  • Fluid Dynamics and Thin Films
  • Asphalt Pavement Performance Evaluation
  • Solidification and crystal growth phenomena
  • Advanced Numerical Methods in Computational Mathematics
  • Advanced machining processes and optimization
  • Dam Engineering and Safety
  • Advanced Numerical Analysis Techniques
  • Additive Manufacturing and 3D Printing Technologies
  • Advanced Manufacturing and Logistics Optimization
  • Water Systems and Optimization
  • Digital Transformation in Industry
  • Assembly Line Balancing Optimization
  • Advanced Materials and Mechanics
  • Fluid Dynamics and Turbulent Flows
  • Concrete Properties and Behavior
  • Contact Mechanics and Variational Inequalities
  • Computer Graphics and Visualization Techniques
  • Advanced Measurement and Metrology Techniques
  • Block Copolymer Self-Assembly
  • Advanced Machining and Optimization Techniques
  • Human Motion and Animation

Harbin Institute of Technology
2022-2025

Fuzhou University
2023-2024

Ministry of Industry and Information Technology
2022-2024

Pennsylvania State University
2024

Tianjin University
2023-2024

Hohai University
2021-2023

Chuzhou University
2023

Ghent University
2023

National University of Singapore
2020-2023

Qilu University of Technology
2023

Cloth simulation has wide applications in computer animation, garment design, and robot-assisted dressing. This work presents a differentiable cloth simulator whose additional gradient information facilitates cloth-related applications. Our extends state-of-the-art based on Projective Dynamics (PD) with dry frictional contact. We draw inspiration from previous to propose fast novel method for deriving gradients PD-based Furthermore, we conduct comprehensive analysis evaluation of the...

10.1145/3527660 article EN ACM Transactions on Graphics 2022-04-22

Physical products are often complex assemblies combining a multitude of 3D parts modeled in computer-aided design (CAD) software. CAD designers build up these by aligning individual to one another using constraints called joints. In this paper we introduce JoinABLe, learning-based method that assembles together form JoinABLe uses the weak supervision available standard parametric files without help object class labels or human guidance. Our results show making network predictions over graph...

10.1109/cvpr52688.2022.01539 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022-06-01

Children’s drawings have a wonderful inventiveness, creativity, and variety to them. We present system that automatically animates children’s of the human figure, is robust variance inherent in these depictions, simple straightforward enough for anyone use. demonstrate value broad appeal our approach by building releasing Animated Drawings Demo, freely available public website has been used millions people around world. set experiments exploring amount training data needed fine-tuning, as...

10.1145/3592788 article EN ACM Transactions on Graphics 2023-04-19

.We deal with a long-standing problem about how to design an energy-stable numerical scheme for solving the motion of closed curve under anisotropic surface diffusion general energy \(\gamma ({\boldsymbol{n}})\) in two dimensions, where \({\boldsymbol{n}}\) is outward unit normal vector. By introducing novel matrix \(\boldsymbol{Z}_k({\boldsymbol{n}})\) which depends on Cahn–Hoffman \(\boldsymbol{\xi }\) -vector and stabilizing function \(k({\boldsymbol{n}})\) , we first reformulate equation...

10.1137/22m1472851 article EN SIAM Journal on Numerical Analysis 2023-03-28

The progress in generative AI, particularly large language models (LLMs), opens new prospects design and manufacturing. Our research explores the use of these tools throughout entire manufacturing workflow. We assess capabilities LLMs various tasks: converting text prompts into designs, generating spaces variations, transforming designs instructions, evaluating performance, searching for based on performance metrics. identify discuss current strengths limitations LLMs, suggesting areas...

10.21428/e4baedd9.745b62fa article EN cc-by-nc 2024-03-27

Recent efforts in stimuli-responsive soft materials have enabled wirelessly controlled actuation with increasing degrees of freedom, yielding miniature robots capable various locomotion open environments such as on a plane or inside fluids. However, grand challenges remain harnessing photomechanical deformation to induce and control friction during the movement, especially for robotic actuations within constrained spaces. Here, authors report centimeter-long polymer strip made liquid crystal...

10.1002/advs.202103090 article EN cc-by Advanced Science 2021-10-28

10.1109/cvpr52733.2024.00418 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024-06-16

We propose and analyze a structure-preserving parametric finite element method (SP-PFEM) for the evolution of closed curves under anisotropic surface diffusion with energy density $\hat{\gamma}(\theta)$. Our primary theoretical contribution establishes that condition $3\hat{\gamma}(\theta)-\hat{\gamma}(\theta-\pi)\geq 0$ is both necessary sufficient unconditional stability within framework local estimates. The proposed introduces symmetric matrix $\hat{\boldsymbol{Z}}_k(\theta)$ stabilizing...

10.48550/arxiv.2501.16660 preprint EN arXiv (Cornell University) 2025-01-27

.We extend the symmetrized parametric finite method for evolution of a closed curve under anisotropic surface diffusion in two dimensions, recently proposed by us [W. Bao, W. Jiang, and Y. Li, SIAM J. Numer. Anal., 61 (2023), pp. 617–641], to orientable with general energy \(\gamma (\boldsymbol{n})\) three dimensions (3D), where \(\boldsymbol{n}\in{\mathbb S}^2\) is unit outward normal vector. By introducing novel symmetric positive definite matrix \(\boldsymbol{Z}_k(\boldsymbol{n})\)...

10.1137/22m1500575 article EN SIAM Journal on Scientific Computing 2023-07-05
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