# Yue Li

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/yue-li-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,063 |
| Field | Advanced Image Processing Techniques |
| h-index | 13 |
| i10-index | 15 |
| OpenAlex ID | https://openalex.org/A5100387773 |
| ORCID iD | 0000-0002-1679-2941 |
| Works | 74 |

## Researcher papers

- [Trademark image retrieval using synthetic features for describing global shape and interior structure](https://scholariq.org/papers/trademark-image-retrieval-using-synthetic-features-for-describing-global-shape/)
- [Convolutional Neural Network-Based Block Up-Sampling for Intra Frame Coding](https://scholariq.org/papers/convolutional-neural-network-based-block-up-sampling-for-intra-frame-coding/)
- [Deep Learning-Based Video Coding](https://scholariq.org/papers/deep-learning-based-video-coding/)
- [Learning a Convolutional Neural Network for Image Compact-Resolution](https://scholariq.org/papers/learning-a-convolutional-neural-network-for-image-compact-resolution/)
- [Early Intra CU Size Decision for Versatile Video Coding Based on a Tunable Decision Model](https://scholariq.org/papers/early-intra-cu-size-decision-for-versatile-video-coding-based-on-a-tunable/)
- [Deep Learning-Based Video Coding: A Review and A Case Study](https://scholariq.org/papers/deep-learning-based-video-coding-a-review-and-a-case-study/)
- [A Hybrid Neural Network for Chroma Intra Prediction](https://scholariq.org/papers/a-hybrid-neural-network-for-chroma-intra-prediction/)
- [Multiple Linear Regression for High Efficiency Video Intra Coding](https://scholariq.org/papers/multiple-linear-regression-for-high-efficiency-video-intra-coding/)
- [Does happiness forecast implied volatility? Evidence from nonparametric wave-based Granger causality testing](https://scholariq.org/papers/does-happiness-forecast-implied-volatility-evidence-from-nonparametric-wave/)
- [iDAM: Iteratively Trained Deep In-loop Filter with Adaptive Model Selection](https://scholariq.org/papers/idam-iteratively-trained-deep-in-loop-filter-with-adaptive-model-selection/)
- [Enhanced-RICAP: a novel data augmentation strategy for improved deep learning-based plant disease identification and mobile diagnosis](https://scholariq.org/papers/enhanced-ricap-a-novel-data-augmentation-strategy-for-improved-deep-learning/)

## Researcher topics

- [Advanced Image Processing Techniques](https://scholariq.org/topics/advanced-image-processing-techniques/)
- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)
- [Video Coding and Compression Technologies](https://scholariq.org/topics/video-coding-and-compression-technologies/)
- [Advanced Data Compression Techniques](https://scholariq.org/topics/advanced-data-compression-techniques/)
- [Advanced Steganography and Watermarking Techniques](https://scholariq.org/topics/advanced-steganography-and-watermarking-techniques/)

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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.