S2Snet: deep learning for low molecular weight RNA identification with nanopore. - Xiaoyu Guan; Yuqin Wang; Wei Shao 005; Zhongnian Li; Shuo Huang 001; Daoqiang Zhang (Briefings Bioinform., 2022)

T-MGCL: Molecule Graph Contrastive Learning Based on Transformer for Molecular Property Prediction. - Xiaoyu Guan; Daoqiang Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Active learning for efficient analysis of high-throughput nanopore data. - Xiaoyu Guan; Zhongnian Li; Yueying Zhou; Wei Shao 005; Daoqiang Zhang (Bioinform., 2023)

Crowd behavior reconstruction with deep group feature learning. - Ziyan Lu; Xiaoyu Guan; Dapeng Yan; Yihao Li; Tianyu Huang (BIBM, 2024)

T-S2Inet: Transformer-based sequence-to-image network for accurate nanopore sequence recognition. - Xiaoyu Guan; Wei Shao 005; Daoqiang Zhang (Bioinform., 2024)

TaiCrowd: A High-Performance Simulation Framework for Massive Crowd. - Xiaoyu Guan; Yihao Li; Tianyu Huang (CVM (3), 2025)

Introducing anisotropic fields for enhanced diversity in crowd simulation. - Yihao Li; Junyu Liu; Xiaoyu Guan; Hanming Hou; Tianyu Huang (Vis. Comput., 2025)