Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 2
Short description of portfolio item number 2 
publications
DeepMethy: A deep learning model for protein methylation site prediction
Published in BIBM 2024 DLB2H Workshop, 2024
In this paper, a deep neural network based model is proposed to predict protein methylation, which is called by DeepMethy.
Recommended citation: Songye Gao†, Cheng Xin†, Sisi Ou, Jinru Li, Yanchun Liang and Xiaohu Shi*(2024). "Paper Title Number 1." DeepMethy: A deep learning model for protein methylation site prediction. BIBM 2024 DLB2H Workshop.
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Clair3-RNA: A deep learning-based small variant caller for long-read RNA sequencing data
Published in bioRxiv, 2024
Clair3-RNA is a deep learning-based variant caller designed for small variant detection in long-read RNA-seq data. It improves both accuracy and speed by combining signal-level features, splicing-aware alignment, and attention-based neural network architectures. This tool enables high-throughput variant discovery from transcriptomic data in research and clinical applications.
Recommended citation: Zhenxian Zheng, Xian Yu, Lei Chen, Yan-Lam Lee, Cheng Xin, et al.(2024). Clair3-RNA: A deep learning-based small variant caller for long-read RNA sequencing data. bioRxiv.
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LVstyler: LoRa-enhanced Varied High-Quality Texture Generation with Text Alignment
Published in NeurIPS 2025 Conference Submission, 2025
LVstyler, an innovative generative framework that extends beyond the conventional 0-to-1 UV texture synthesis, specializing in a more varied style transfer for 3D meshes while preserving geometric fidelity.
Recommended citation: Hokit Fung, chengyangdong, Cheng Xin, Jie Li, Adela S.M. Lau, Guosheng Yin*(2025).LVstyler: LoRa-enhanced Varied High-Quality Texture Generation with Text Alignment. NeurIPS 2025 Conference Submission
Artificial intelligence in drug discovery: A comprehensive review with a case study on hyperuricemia, gout arthritis, and hyperuricemic nephropathy
Published in Journal 1, 2025
This paper systematically reviews recent advances in artificial intelligence (AI), with a particular focus on machine learning (ML), across the entire drug discovery pipeline.
Recommended citation: Junwei Su†, Cheng Xin†, Ao Shang, Shan Wu, Zhenzhen Xie, Ruogu Xiong, Xiaoyu Xu, Cheng Zhang, Guang Chen, Yau-Tuen Chan, Guoyi Tang*, Ning Wang, Yong Xu, Yibin Feng*(2025). Artificial intelligence in drug discovery: A comprehensive review with a case study on hyperuricemia, gout arthritis, and hyperuricemic nephropathy. Submit to Acta Pharmaceutica Sinica B.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.