# Jian Zhang

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/jian-zhang/

## Facts

| Field | Value |
| --- | --- |
| Citations | 436 |
| Field | Generative Adversarial Networks and Image Synthesis |
| h-index | 9 |
| i10-index | 9 |
| Last Known Institution | China University of Mining and Technology |
| OpenAlex ID | https://openalex.org/A5100749320 |
| ORCID iD | 0000-0002-5708-3578 |
| Works | 23 |

## Researcher papers

- [Deep Extreme Learning Machine and Its Application in EEG Classification](https://scholariq.org/papers/deep-extreme-learning-machine-and-its-application-in-eeg-classification/)
- [Unsupervised extreme learning machine with representational features](https://scholariq.org/papers/unsupervised-extreme-learning-machine-with-representational-features/)
- [Incremental extreme learning machine based on deep feature embedded](https://scholariq.org/papers/incremental-extreme-learning-machine-based-on-deep-feature-embedded/)
- [Research of stacked denoising sparse autoencoder](https://scholariq.org/papers/research-of-stacked-denoising-sparse-autoencoder/)
- [An overview on probability undirected graphs and their applications in image processing](https://scholariq.org/papers/an-overview-on-probability-undirected-graphs-and-their-applications-in-image/)
- [High-Order Residual Convolutional Neural Network for Robust Crop Disease Recognition](https://scholariq.org/papers/high-order-residual-convolutional-neural-network-for-robust-crop-disease/)
- [Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding](https://scholariq.org/papers/botnet-dga-domain-name-classification-using-transformer-network-with-hybrid/)
- [Broad learning system based ensemble deep model](https://scholariq.org/papers/broad-learning-system-based-ensemble-deep-model/)
- [Weight Uncertainty in Boltzmann Machine](https://scholariq.org/papers/weight-uncertainty-in-boltzmann-machine/)
- [Robust spike-and-slab deep Boltzmann machines for face denoising](https://scholariq.org/papers/robust-spike-and-slab-deep-boltzmann-machines-for-face-denoising/)

## Researcher topics

- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

## Researcher university

- [China University of Mining and Technology](https://scholariq.org/institutions/china-university-of-mining-and-technology/)

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