A5102740409- 3D Shape Modeling and Analysis
- Computer Graphics and Visualization Techniques
- Advanced Numerical Analysis Techniques
- Human Pose and Action Recognition
- Advanced biosensing and bioanalysis techniques
- Nanoplatforms for cancer theranostics
- Advanced Text Analysis Techniques
- Hand Gesture Recognition Systems
- RNA Interference and Gene Delivery
- Reservoir Engineering and Simulation Methods
- Speech and Audio Processing
- Seismic Imaging and Inversion Techniques
- Advanced Vision and Imaging
- Advanced Fluorescence Microscopy Techniques
- Music and Audio Processing
- CRISPR and Genetic Engineering
- Drilling and Well Engineering
- Expert finding and Q&A systems
- Human Motion and Animation
- Diverse Approaches in Healthcare and Education Studies
- Luminescence and Fluorescent Materials
- Protein Degradation and Inhibitors
- Speech Recognition and Synthesis
Chinese Academy of Medical Sciences & Peking Union Medical College
2024-2025
ShanghaiTech University
2025
Tongji University
2023
University of New Mexico
2015-2020
Messenger RNA (mRNA) encoding base editors, along with single guide RNAs (sgRNAs), have emerged as a promising therapeutic approach for various disorders. However, there is still insufficient exploration in achieving targeted and efficient delivery of mRNA sgRNA to multiple organs while ensuring high biocompatibility stability vivo. To address this challenge, we synthesized library 108 poly(β-amino) esters (PBAEs) by incorporating 100% hydrophobic side chains end-caps varying amines. These...
NNWarp is a highly re-usable and efficient neural network (NN) based nonlinear deformable simulation framework. Unlike other machine learning applications such as image recognition, where different inputs have uniform consistent format (e.g., an array of all the pixels in image), input for quite variable, high-dimensional, parametrization-unfriendly. Consequently, even though known its rich expressivity functions, directly using NN to reconstruct force-displacement relation general nearly...
We propose a framework for the interactive simulation of nonlinear deformable objects. The primary feature our system is seamless integration and collision culling, which are often independently handled in existing animation systems. bridge connecting them medial axis transform (MAT), high-fidelity volumetric approximation complex 3D shapes. From physics perspective, MAT leads to an expressive compact reduced model. employ semireduced projective dynamics formulation, well captures...
In deformable simulation, an important computing task is to calculate the gradient and derivative of strain energy function in order infer corresponding internal force tangent stiffness matrix. The standard numerical routine finite difference method, which evaluates target multiple times under a small real-valued perturbation. Unfortunately, subtractive cancellation prevents us from setting this perturbation sufficiently small, regular doomed for problems requiring high-accuracy evaluation....
This paper presents a spatial reduction framework for simulating nonlinear deformable objects interactively. reduced model is built using small number of overlapping quadratic domains as we notice that incorporating high-order degrees freedom (DOFs) important the simulation quality. Departing from existing multi-domain methods in graphics, our method interprets deformed shapes blended transformations nearby domains. Doing so avoids expensive safeguards against domain coupling and improves...
We propose an acoustic-VR system that converts acoustic signals of human language (Chinese) to realistic 3D tongue animation sequences in real time. It is known directly capturing the geometry at a frame rate matches tongue's swift movement during production challenging. This difficulty handled by utilizing electromagnetic articulography (EMA) sensor as intermediate medium linking data simulated virtual reality. leverage Deep Neural Networks train model maps input positional information...
A powerful rigging pipeline is proposed to automatically rig the raw scans of human model with 1) fitting a Rigged Parametric Body Model (RPBM) scan novel and effective energy formulation, 2) cutting break self-occlusions automatically, 3) inpainting geometry texture in UV parametric space create complete avatar 4) transferring information from RPBM avatar. To further improve result, Semantic Deformation Component (SDC) generated utilized replace original shape blendshapes stage, which can...
Literature research, vital for scientific advancement, is overwhelmed by the vast ocean of available information. Addressing this, we propose an automated review generation method based on Large Language Models (LLMs) to streamline literature processing and reduce cognitive load. In case study propane dehydrogenation (PDH) catalysts, our swiftly generated comprehensive reviews from 343 articles, averaging seconds per article LLM account. Extended analysis 1041 articles provided deep insights...
Summary The observed pre-stack seismic data carry abundant information of underground elastic parameters, and amplitude variation with offset (AVO) is an important feature angle gathers. Traditional AVO inversion methods have been widely used in field processing to achieve parameter distribution. However, these are usually based on the linear approximation Zoeppritz equation, accuracy estimated results open be enhanced. In addition, stability resolution low-quality needs further improved....