1 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 1 cited
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images
Yuedi Zhang, Zhixiang Xia, Guosheng Yin +1
Multi-Instance Learning (MIL) is pivotal for analyzing complex, weakly labeled datasets, such as whole-slide images (WSIs) in computational pathology, where bags comprise unordered…
cs.LG2023★ 1 cited
Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network
Min Hu, Zhizhong Tan, Bin Liu +1
This study aims to address the challenges of futures price prediction in high-frequency trading (HFT) by proposing a continuous learning factor predictor based on graph neural netw…
cs.CL2021★ 1 cited
Graphmax for Text Generation
Liu Bin, Yin Guosheng
In text generation, a large language model (LM) makes a choice of each new word based only on the former selection of its context using the softmax function. Nevertheless, the link…