Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery? - Ziqiao Zhang; Yatao Bian; Ailin Xie; Pengju Han; Long-Kai Huang; Shuigeng Zhou (CoRR, 2022)

Activity Cliff Prediction: Dataset and Benchmark. - Ziqiao Zhang; Bangyi Zhao; Ailin Xie; Yatao Bian; Shuigeng Zhou (CoRR, 2023)

Molecular property prediction by semantic-invariant contrastive learning. - Ziqiao Zhang; Ailin Xie; Jihong Guan; Shuigeng Zhou (Bioinform., 2023)

Self-supervised learning with chemistry-aware fragmentation for effective molecular property prediction. - Ailin Xie; Ziqiao Zhang; Jihong Guan; Shuigeng Zhou (Briefings Bioinform., 2023)

An FPGA-Based Hardware Architecture of Gaussian-Adaptive Bilateral Filter for Real-Time Image Denoising. - Ailin Xie; Ao Zhang; Guohui Mei (IEEE Access, 2024)

Can Pretrained Models Really Learn Better Molecular Representations for AI-Aided Drug Discovery? - Ziqiao Zhang; Yatao Bian; Ailin Xie; Pengju Han; Shuigeng Zhou (J. Chem. Inf. Model., 2024)

An Accurate and Efficient Temperature Correction Method for Inner Surface of Cavity-Like Objects Based on Monte Carlo Simulation. - Ao Zhang; Ailin Xie; Guohui Mei; Shumao Zhao; Jiu Zhang (IEEE Trans. Instrum. Meas., 2025)

OCSU: Optical Chemical Structure Understanding for Molecule-centric Scientific Discovery. - Siqi Fan 002; Yuguang Xie; Bowen Cai 010; Ailin Xie; Gaochao Liu; Mu Qiao; Jie Xing; Zaiqing Nie (CoRR, 2025)