Preserving Privacy of Input Features Across All Stages of Collaborative Learning. - Jianrong Lu; Lulu Xue; Wei Wan; Minghui Li; Leo Yu Zhang; Shengqing Hu (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Quasi-periodic Solutions for Schrödinger Equation with Finite Smooth Quasi-periodic Forcing. - Shengqing Hu (SIAM J. Appl. Dyn. Syst., 2023)

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. - Lulu Xue; Shengshan Hu; Ruizhi Zhao; Leo Yu Zhang; Shengqing Hu; Lichao Sun 001; Dezhong Yao 002 (AAAI, 2024)

ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion. - Minghui Li; Zikang Guo; Yang Wu; Peijin Guo; Yao Shi; Shengshan Hu; Wei Wan; Shengqing Hu (BIBM, 2024)

An Efficient Residual-based Low-dose PET Reconstruction with Spatial-Frequency Integration. - Minghui Li; Lei Yu; Hewen Pan; Shengqing Hu; Longling Zhang; Shengshan Hu; Wei Wan; Peijin Guo (ICASSP, 2025)

Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction. - Peijin Guo; Minghui Li; Hewen Pan; Ruixiang Huang; Lulu Xue; Shengqing Hu; Zikang Guo; Wei Wan; Shengshan Hu (CoRR, 2025)

Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning. - Peijin Guo; Minghui Li; Hewen Pan; Bowen Chen; Yang Wu; Zikang Guo; Leo Yu Zhang; Shengshan Hu; Shengqing Hu (CoRR, 2025)