Bayesian robust principal component analysis with structured sparse component. - Ningning Han; Yumeng Song; Zhanjie Song (Comput. Stat. Data Anal., 2017)

CSGNN: Improving Graph Neural Networks with Contrastive Semi-supervised Learning. - Yumeng Song; Yu Gu 002; Xiaohua Li; Chuanwen Li; Ge Yu 001 (DASFAA (1), 2022)

IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance. - Di Wei; Yu Gu 002; Yumeng Song; Zhen Song; Fangfang Li 002; Ge Yu 001 (DASFAA (1), 2022)

CLNIE: A Contrastive Learning Based Node Importance Evaluation Method for Knowledge Graphs with Few Labels. - Jingbo Wang; Yumeng Song; Yu Gu 002; Xiaohua Li; Fangfang Li 002 (DASFAA (2), 2023)

Diffusion Model-Enhanced Contrastive Learning for Graph Representation. - Qi Dai; Yumeng Song; Yu Gu 002; Fangfang Li 002; Xiaohua Li (DASFAA (6), 2024)

DesTrans: A medical image fusion method based on Transformer and improved DenseNet. - Yumeng Song; Yin Dai; Weibin Liu; Yue Liu; Xinpeng Liu 006; Qiming Yu; Xinghan Liu; Ningfeng Que; Mingzhe Li (Comput. Biol. Medicine, 2024)

CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. - Yumeng Song; Yu Gu 002; Tianyi Li 005; Jianzhong Qi 001; Zhenghao Liu 001; Christian S. Jensen; Ge Yu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification. - Yumeng Song; Yu Gu 002; Tianyi Li 005; Yushuai Li; Christian S. Jensen; Ge Yu 001 (Proc. VLDB Endow., 2024)