Quality Assessment of RSW Based on Transfer Learning and Imbalanced Multi-Class Classification Algorithm. - Peijin Guo; Qinmiao Zhu; Jingran Kang; Yuhui Wang; Wenqiang Hu (IEEE Access, 2022)

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)

TrojanRobot: Backdoor Attacks Against Robotic Manipulation in the Physical World. - Xianlong Wang 001; Hewen Pan; Hangtao Zhang; Minghui Li; Shengshan Hu; Ziqi Zhou 001; Lulu Xue; Peijin Guo; Yichen Wang; Wei Wan; Aishan Liu; Leo Yu Zhang (CoRR, 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)

BadRobot: Jailbreaking Embodied LLM Agents in the Physical World. - Hangtao Zhang; Chenyu Zhu; Xianlong Wang 001; Ziqi Zhou 001; Changgan Yin; Minghui Li; Lulu Xue; Yichen Wang; Shengshan Hu; Aishan Liu; Peijin Guo; Leo Yu Zhang (ICLR, 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)

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification, Challenges, and Future Directions. - Lulu Xue; Shengshan Hu; Wei Lu; Yan Shen; Dongxu Li; Peijin Guo; Ziqi Zhou 001; Minghui Li; Yanjun Zhang; Leo Yu Zhang (CoRR, 2025)