Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages. - Yun Lin 001; Ruofan Liu; Dinil Mon Divakaran; Jun Yang Ng; Qing Zhou Chan; Yiwen Lu; Yuxuan Si; Fan Zhang; Jin Song Dong 001 (USENIX Security Symposium, 2021)

Disentangled Sequential Autoencoder with Local Consistency for Infectious Keratitis Diagnosis. - Yuxuan Si; Zhengqing Fang; Kun Kuang; Zhengxing Huang; Yu-Feng Yao; Fei Wu 001 (ICIP, 2022)

Attention-Based RNA Secondary Structure Prediction. - Liya Hu; Xinyi Yang; Yuxuan Si; Jingyuan Chen; Xinhai Ye; Zhihua Wang 008; Fei Wu 001 (CICAI (2), 2023)

DeepAlgPro: an interpretable deep neural network model for predicting allergenic proteins. - Chun He; Xinhai Ye; Yi Yang 001; Liya Hu; Yuxuan Si; Xianxin Zhao; Longfei Chen; Qi Fang; Ying Wei 001; Fei Wu 001; Gongyin Ye (Briefings Bioinform., 2023)

Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA-gene-disease networks. - Yuxuan Si; Zihan Huang; Zhengqing Fang; Zhouhang Yuan; Zhengxing Huang; Yingming Li; Ying Wei 001; Fei Wu 001; Yu-Feng Yao (Briefings Bioinform., 2024)

Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence. - Zhengqing Fang; Shuowen Zhou; Zhouhang Yuan; Yuxuan Si; Mengze Li 001; Jinxu Li; Yesheng Xu; Wenjia Xie; Kun Kuang; Yingming Li; Fei Wu 001; Yu-Feng Yao (CoRR, 2024)