Is this you? Claim this profile to correct it, add a bio and choose the work people see first.
Claim this profileWorks41 from public data
- Deep Learning for Chinese Word Segmentation and POS Tagging330
This study explores the feasibility of performing Chinese word segmentation and POS tagging by deep learning, and describes a perceptron-style algorithm for training the neural networks, as an alternative to maximum-likelihood method to speed up the training process and make the learning algorithm easier to be implemented.
- Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report69
The target is to develop an end-to-end deep learning-based video super-resolution solutions that can achieve a realtime performance on mobile GPUs and can upscale videos to HD resolution at up to 80 FPS while demonstrating high fidelity results.
- Rainfall Forecast Model Based on the TabNet Model60
A new machine learning model for rainfall prediction and new feature engineering methods, and combined the satellite system’s method of observing rainfall with the machine learning prediction to reduce the error rate of rainfall prediction.
- 47
- 37
- 31
- An Object-Oriented CNN Model Based on Improved Superpixel Segmentation for High-Resolution Remote Sensing Image Classification23
This work proposed an improved sample linear iterative cluster (SLIC) to obtain better segmentation edges and overcomes the limitation of the input feature dimension in SLIC and improves the boundary performance by using more features.
- 20
- 20
- 18
- 16
- 12
- Investigating the status and influencing factors of professional identity formation among Chinese medical interns: a mixed methods study11
This study illustrates that Chinese medical interns were at stage 4 according to Kegan’s model, and investigates interactions between multidimensional influencing factors underlining the process of PIF.
- 11
- Long-Term Rainfall Forecast Model Based on The TabNet and LightGbm Algorithm5
The method proposed in this study further improves the accuracy of rainfall prediction, and provides a reference for data mining tasks.
- Therapeutic efficacy of fecal microbiota transplantation in severe food intolerance: a case report4
The first documented application of fecal microbiota transplantation for the management of extensive multi-food intolerance involving 52 specific foods in a pediatric patient with autism spectrum disorder is presented.
- Current progress on the microbial therapies for acute liver failure3
This review critically examines the mechanisms and efficacy of microbiota-based treatments for ALF, focusing on their role in prevention, treatment, and prognosis over the past decade.
- GCA-SUNet: A Gated Context-Aware Swin-UNet for Exemplar-Free Counting2
A Gated Context-Aware Swin-UNet to directly map an input image to the density map of countable objects and demonstrates that GCA-SUNet significantly and consistently outperforms state-of-the-art methods.
- 2
- 2
- 1
- Deep learning based news text classification software design1
The research in this paper makes the system development work more concrete, while providing software users, software developers, and analysts and testers with a unified and comprehensive understanding of the system’s functional implementation.
- –
- –
- –
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
Report an error
Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it.