2 citations · 3 across the 4 of their papers we have counts for
4 papers
BiTro: Bidirectional Transfer Learning Enhances Bulk and Spatial Transcriptomics Prediction in Cancer Pathological Images
Jingkun Yu, Guangkai Shang, Changtao Li +4
Cancer pathological analysis requires modeling tumor heterogeneity across multiple modalities, primarily through transcriptomics and whole slide imaging (WSI), along with their spa…
Tackling Small Sample Survival Analysis via Transfer Learning: A Study of Colorectal Cancer Prognosis
Yonghao Zhao, Changtao Li, Chi Shu +7
Survival prognosis is crucial for medical informatics. Practitioners often confront small-sized clinical data, especially cancer patient cases, which can be insufficient to induce…
A Survey of Route Recommendations: Methods, Applications, and Opportunities
Shiming Zhang, Zhipeng Luo, Li Yang +2
Nowadays, with advanced information technologies deployed citywide, large data volumes and powerful computational resources are intelligentizing modern city development. As an impo…
Continual Learning for Smart City: A Survey
Li Yang, Zhipeng Luo, Shiming Zhang +2
With the digitization of modern cities, large data volumes and powerful computational resources facilitate the rapid update of intelligent models deployed in smart cities. Continua…