Pessimistic Adversarially Regularized Learning for Graph Embedding. - Mengyao Li; Yinghao Song; Long Yan; Hanbin Feng; Yulun Song; Yang Li; Gongju Wang (ADMA (3), 2023)

PAGAE: Improving Graph Autoencoder by Dual Enhanced Adversary. - Gongju Wang; Mengyao Li; Hanbin Feng; Long Yan; Yulun Song; Yang Li; Yinghao Song (CogSci, 2023)

MIED : An Improved Graph Neural Network for Node Embedding in Heterogeneous Graphs. - Mingjian Ni; Yinghao Song; Gongju Wang; Lanxiao Feng; Yang Li; Long Yan; Dazhong Li; Yanfei Wang; Shikun Zhang; Yulun Song (EAI Endorsed Trans. Scalable Inf. Syst., 2023)

Wide zero-voltage switching range full-bridge converter based on adjustable parallel current. - Yahu Gao; Yu Tang 004; Hongchang Wang; Zixiang Zhao; Guanghui Wang; Yinghao Song (Int. J. Circuit Theory Appl., 2023)

NAGG: Noised graph node feature aggregations for preserving privacy. - Yinghao Song; Long Yan; Yang Li; Mingjian Ni; Shengzhong Tan; Dazhong Li; Huiting Zhao; Yulun Song (TrustCom, 2024)

Troublemaker Learning for Low-Light Image Enhancement. - Yinghao Song; Zhiyuan Cao; Wanhong Xiang; Sifan Long; Bo Yang; Hongwei Ge; Yanchun Liang 001; Chunguo Wu (CoRR, 2024)

Troublemaker Learning for Low-Light Image Enhancement. - Yinghao Song; Hao Ma; Bo Yang; Yanchun Liang 001; Hongwei Ge; Heow Pueh Lee; Chunguo Wu (ICMR, 2025)