Yuqing Zhang

ORCID: 0000-0001-8512-0551
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About
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Research Areas
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Gold and Silver Nanoparticles Synthesis and Applications
  • Advanced Image and Video Retrieval Techniques
  • Nanoplatforms for cancer theranostics
  • Image Processing and 3D Reconstruction
  • Nanoparticle-Based Drug Delivery
  • Evacuation and Crowd Dynamics
  • Image and Signal Denoising Methods
  • Cryptography and Data Security
  • Industrial Technology and Control Systems
  • Medical Image Segmentation Techniques
  • Traffic control and management
  • Railway Systems and Energy Efficiency
  • Advanced Vision and Imaging
  • Remote Sensing and Land Use
  • Advanced Algorithms and Applications
  • Transportation Planning and Optimization
  • Educational Technology and Assessment
  • Chaos-based Image/Signal Encryption
  • Anomaly Detection Techniques and Applications
  • Higher Education and Teaching Methods
  • Advanced Image Fusion Techniques
  • Advanced Computational Techniques and Applications
  • Spectroscopy Techniques in Biomedical and Chemical Research

Southeast University
2024

Hangzhou Dianzi University
2020-2024

Zhejiang University
2021-2024

Tencent (China)
2024

Nankai University
2023

Shanghai Dianji University
2021

State Key Laboratory of Oncogene and Related Genes
2020

Shanghai Jiao Tong University
2020

Beijing Union University
2018

Jiangsu Yonggang Group (China)
2010

Recent advancements in 2D diffusion models allow appearance generation on untextured raw meshes. These methods create RGB textures by distilling a model, which often contains unwanted baked-in shading effects and results unrealistic rendering the downstream applications. Generating Physically Based Rendering (PBR) materials instead of just would be promising solution. However, directly PBR material parameters from still suffers incorrect decomposition, such as albedo. We introduce DreamMat ,...

10.1145/3658170 article EN ACM Transactions on Graphics 2024-07-19

Style-guided texture generation aims to generate a that is harmonious with both the style of reference image and geometry input mesh, given 3D mesh its text description. Although diffusion-based methods, such as distillation sampling, have numerous promising applications in stylized games films, it requires addressing two challenges: 1) decouple content completely from for models, 2) align generated color tone, image, prompt. To this end, we introduce StyleTex, an innovative...

10.1145/3687931 article EN ACM Transactions on Graphics 2024-11-19

Abstract Realistic crowd simulation has been pursued for decades, but it still necessitates tedious human labour and a lot of trial error. The majority currently used modelling is either empirical (model‐based) or data‐driven (model‐free). Model‐based methods cannot fit observed data precisely, whereas model‐free are limited by the availability/quality uninterpretable. In this paper, we aim at taking advantage both model‐based approaches. order to accomplish this, propose new framework built...

10.1111/cgf.14919 article EN Computer Graphics Forum 2023-07-06

With the growing prominence of outsourcing services and increasing user concerns about security, existing encryption image retrieval schemes suffer from several limitations, such as low efficiency, poor accuracy, inadequate scalability. Therefore, we propose an encrypted scheme by dividing clustering subspace with vertical parallels to construct indexes. Concretely, data owners upload preprocessed classified datasets a fully trusted auxiliary server. Subsequently, server clusters images...

10.1109/trustcom60117.2023.00119 article EN 2023-11-01

Abstract In this paper, an intelligent early warning scheme for rail transit line trip based on PSCADA system is proposed. The takes into account the defects of low prediction accuracy and real-time caused by lack power data in traditional method. At same time, a large number generated long-term application process are ignored field transit[1]. Based situation, set constructed combining historical collected lightning weather methods. On basis, lightgbm machine learning algorithm used to...

10.1088/1742-6596/2113/1/012079 article EN Journal of Physics Conference Series 2021-11-01
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