# Dule Shu

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/dule-shu/

## Facts

| Field | Value |
| --- | --- |
| Citations | 362 |
| Field | 3D Shape Modeling and Analysis |
| h-index | 7 |
| i10-index | 5 |
| Last Known Institution | Toyota Motor Corporation (Switzerland) |
| OpenAlex ID | https://openalex.org/A5110715552 |
| Works | 19 |

## Researcher papers

- [3D Design Using Generative Adversarial Networks and Physics-Based Validation](https://scholariq.org/papers/3d-design-using-generative-adversarial-networks-and-physics-based-validation/)
- [Deepfakes and scientific knowledge dissemination](https://scholariq.org/papers/deepfakes-and-scientific-knowledge-dissemination-2/)
- [Generative adversarial attacks against intrusion detection systems using active learning](https://scholariq.org/papers/generative-adversarial-attacks-against-intrusion-detection-systems-using-active/)
- [Robust tracking control of an underactuated quadrotor aerial-robot based on a parametric uncertain model](https://scholariq.org/papers/robust-tracking-control-of-an-underactuated-quadrotor-aerial-robot-based-on-a/)
- [Scalable Transformer for PDE Surrogate Modeling](https://scholariq.org/papers/scalable-transformer-for-pde-surrogate-modeling/)
- [A sparsity preserving genetic algorithm for extracting diverse functional 3D designs from deep generative neural networks](https://scholariq.org/papers/a-sparsity-preserving-genetic-algorithm-for-extracting-diverse-functional-3d/)
- [Encrypted rich-data steganography using generative adversarial networks](https://scholariq.org/papers/encrypted-rich-data-steganography-using-generative-adversarial-networks/)
- [A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction](https://scholariq.org/papers/a-physics-informed-diffusion-model-for-high-fidelity-flow-field-reconstruction/)
- [A Pilot Study Investigating STEM Learners’ Ability to Decipher AI-generated Video](https://scholariq.org/papers/a-pilot-study-investigating-stem-learners-ability-to-decipher-ai-generated-video/)
- [Deepfakes and Scientific Knowledge Dissemination](https://scholariq.org/papers/deepfakes-and-scientific-knowledge-dissemination/)

## Researcher topics

- [3D Shape Modeling and Analysis](https://scholariq.org/topics/3d-shape-modeling-and-analysis/)
- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)
- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)
- [Computer Graphics and Visualization Techniques](https://scholariq.org/topics/computer-graphics-and-visualization-techniques/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

## Researcher university

- [Toyota Motor Corporation (Switzerland)](https://scholariq.org/institutions/toyota-motor-corporation-switzerland/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.